31,760,973 results
Search Results
252. Environmental and economic analysis of the transformation of paper mill sludge treatment technologies in China
- Author
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Lin, Yanfei, Wei, Guoxia, Liu, Hanqiao, Li, Kai, Zhu, Yuwen, Han, Qianlong, Yang, Yunzhen, and Lian, Yi
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- 2024
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253. Influence of density and chemical additives on paper mechanical properties
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Asta, Nadia, Kaplan, Magdalena, Kulachenko, Artem, Östlund, Sören, and Wågberg, Lars
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- 2024
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254. Printable, flexible ceramic fiber paper based on electrospinning
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Xie, Yong-Shuai, Cheng, Yuan, Lyu, Yang, Li, Rui, and Han, Jie-Cai
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- 2024
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255. Structure and properties of carbon fiber paper with gradient porous structure
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Li, Li, Wang, Yuyan, Lei, Ting, Xie, Zhiyong, and Liang, Yili
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- 2024
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256. Novel Method Using Transformer Moisture Equilibrium for Removal of Absorbed Moisture from Cellulose Paper Insulation in Power Transformers
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Swamynathan, Kudiyarasan, Sthalasayanam, N., Sridevi, M., and Sudheesh, A. K.
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- 2024
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257. Preparation and simulation performance of light carbon fiber paper-based electromagnetic shielding materials
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Liu, Zhi, Liu, Chenhui, Wang, Yu, Mi, Ruozhen, and Gao, Xueping
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- 2024
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258. Bio-based materials for barrier coatings on paper packaging
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Kunam, Praveen Kumar, Ramakanth, Dakuri, Akhila, Konala, and Gaikwad, Kirtiraj K.
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- 2024
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259. MarketLine Company Profile: Hankuk Paper Manufacturing Co., Ltd.
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- 2024
260. A Mummers Farce -- Retractions of Medical Papers Conducted in Egyptian Institutions
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Rahma Menshawey, Esraa Menshawey, and Bilal A. Mahamud
- Abstract
Egypt currently holds the record for the most retractions in the continent of Africa according to the Retraction Watch database, and the 2nd highest of countries in the Middle East. The purpose of this study was to analyse the retracted medical publications from Egyptian affiliations, in order to delineate specific problems and solutions. We examined databases including Pubmed, Google Scholar and others, for all retracted medical publications that were conducted in an Egyptian institution, up to the date of August 31st 2022. We observed for the reason(s) for retraction, number of citations of the retracted work, the length of time between publication and retraction, and where the work was published (journal, publisher and impact factor). 68 retractions were identified. Most retractions were from the speciality of Obstetrics and Gynecology (n = 22), followed by Anesthesia (n = 7). The top 3 reasons for retraction were unreliable results, FFP level misconduct, and duplicate publication. The number of retractions significantly increased over the years, especially in 2022. When taking into account the number of medical publications per institution, the institute with the highest rate of retractions was Mansoura University, while the lowest rate was Cairo University. The number of retracted medical Egyptian publications continues to increase over time, although they represent a small portion of the overall body of Egyptian medical research. Future studies on retracted articles should employ a methodology that considers the institutions where the studies were conducted. This could allow a better understanding of specific problems in certain countries or regions.
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- 2024
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261. Access to Civics Content and Evidence-Based Instructional Approaches in U.S. Schools. AIR-NAEP Working Paper 2023-07
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American Institutes for Research (AIR), National Center for Education Statistics (NCES) (ED/IES), Education Statistics Services Institute Network (ESSIN), Corey Savage, and Saki Ikoma
- Abstract
Civic learning is an increasingly salient topic in research, policy, and practice. However, the recent empirical evidence on access to civic learning opportunities is limited. We build on prior research using survey items from the 2018 National Assessment of Educational Progress civics assessment and provide descriptive evidence on disparities in access to three categories of civics content and three evidence-based instructional approaches. We highlight inequalities in opportunities by student characteristics, school characteristics, and state characteristics among a national sample of more than 10,000 8th-grade students enrolled in a course with at least some civics focus (controlling for variation in the extent of civics focus). Our findings conflict with most of the prior evidence regarding disparities in access by race, ethnicity, or socioeconomic background, favoring Black students, Hispanic students, and students of relatively lower socioeconomic backgrounds. This suggests a shift in recent years, potentially due to an increased focus on equity. English learners and students with disabilities also reported greater access than their counterparts. Other findings include inequalities across school types, school location (city students reporting greater opportunity than both rural and suburban students), census region, and state testing policy. Additional findings are presented, and implications and opportunities for future research are discussed.
- Published
- 2023
262. Multi-head Span-based Detector for AI-generated Fragments in Scientific Papers
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Gritsai, German, Khabutdinov, Ildar, and Grabovoy, Andrey
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Computer Science - Computation and Language - Abstract
This paper describes a system designed to distinguish between AI-generated and human-written scientific excerpts in the DAGPap24 competition hosted within the Fourth Workshop on Scientific Document Processing. In this competition the task is to find artificially generated token-level text fragments in documents of a scientific domain. Our work focuses on the use of a multi-task learning architecture with two heads. The application of this approach is justified by the specificity of the task, where class spans are continuous over several hundred characters. We considered different encoder variations to obtain a state vector for each token in the sequence, as well as a variation in splitting fragments into tokens to further feed into the input of a transform-based encoder. This approach allows us to achieve a 9% quality improvement relative to the baseline solution score on the development set (from 0.86 to 0.95) using the average macro F1-score, as well as a score of 0.96 on a closed test part of the dataset from the competition.
- Published
- 2024
263. SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers
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Singh, Shruti, Sarkar, Nandan, and Cohan, Arman
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Computer Science - Computation and Language - Abstract
Scientific literature is typically dense, requiring significant background knowledge and deep comprehension for effective engagement. We introduce SciDQA, a new dataset for reading comprehension that challenges LLMs for a deep understanding of scientific articles, consisting of 2,937 QA pairs. Unlike other scientific QA datasets, SciDQA sources questions from peer reviews by domain experts and answers by paper authors, ensuring a thorough examination of the literature. We enhance the dataset's quality through a process that carefully filters out lower quality questions, decontextualizes the content, tracks the source document across different versions, and incorporates a bibliography for multi-document question-answering. Questions in SciDQA necessitate reasoning across figures, tables, equations, appendices, and supplementary materials, and require multi-document reasoning. We evaluate several open-source and proprietary LLMs across various configurations to explore their capabilities in generating relevant and factual responses. Our comprehensive evaluation, based on metrics for surface-level similarity and LLM judgements, highlights notable performance discrepancies. SciDQA represents a rigorously curated, naturally derived scientific QA dataset, designed to facilitate research on complex scientific text understanding., Comment: 18 pages, Accepted to EMNLP 2024
- Published
- 2024
264. Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Act
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Hoffmann, Barbara, Vatter, Jana, and Mayer, Ruben
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computers and Society - Abstract
The European Union's Artificial Intelligence Act (AI Act) introduces comprehensive guidelines for the development and oversight of Artificial Intelligence (AI) and Machine Learning (ML) systems, with significant implications for Graph Neural Networks (GNNs). This paper addresses the unique challenges posed by the AI Act for GNNs, which operate on complex graph-structured data. The legislation's requirements for data management, data governance, robustness, human oversight, and privacy necessitate tailored strategies for GNNs. Our study explores the impact of these requirements on GNN training and proposes methods to ensure compliance. We provide an in-depth analysis of bias, robustness, explainability, and privacy in the context of GNNs, highlighting the need for fair sampling strategies and effective interpretability techniques. Our contributions fill the research gap by offering specific guidance for GNNs under the new legislative framework and identifying open questions and future research directions.
- Published
- 2024
265. Nash Equilibria of Rock Paper Scissors Variants
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Thananopavarn, Adrian
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Mathematics - Combinatorics - Abstract
We generalize Rock Paper Scissors to complete directed graphs, or tournaments, on $n$ vertices. Properties of the mixed-strategy Nash equilibria of these tournaments are discussed, particularly those with Nash equilibria where all of the strategies have a nonzero probability. We find graph-theoretic properties of such games and tabulate them for $n \leq 7$., Comment: 18 pages
- Published
- 2024
266. LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content
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Shabtay, Nimrod, Polo, Felipe Maia, Doveh, Sivan, Lin, Wei, Mirza, M. Jehanzeb, Chosen, Leshem, Yurochkin, Mikhail, Sun, Yuekai, Arbelle, Assaf, Karlinsky, Leonid, and Giryes, Raja
- Subjects
Computer Science - Computer Vision and Pattern Recognition - Abstract
The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required world knowledge to perform effectively on multiple downstream tasks. However, one downside of scraping data from the web can be the potential sacrifice of the benchmarks on which the abilities of these models are often evaluated. To safeguard against test data contamination and to truly test the abilities of these foundation models we propose LiveXiv: A scalable evolving live benchmark based on scientific ArXiv papers. LiveXiv accesses domain-specific manuscripts at any given timestamp and proposes to automatically generate visual question-answer pairs (VQA). This is done without any human-in-the-loop, using the multi-modal content in the manuscripts, like graphs, charts, and tables. Moreover, we introduce an efficient evaluation approach that estimates the performance of all models on the evolving benchmark using evaluations of only a subset of models. This significantly reduces the overall evaluation cost. We benchmark multiple open and proprietary Large Multi-modal Models (LMMs) on the first version of our benchmark, showing its challenging nature and exposing the models true abilities, avoiding contamination. Lastly, in our commitment to high quality, we have collected and evaluated a manually verified subset. By comparing its overall results to our automatic annotations, we have found that the performance variance is indeed minimal (<2.5%). Our dataset is available online on HuggingFace, and our code will be available here.
- Published
- 2024
267. Hibikino-Musashi@Home 2024 Team Description Paper
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Isomoto, Kosei, Mizutani, Akinobu, Matsuzaki, Fumiya, Sato, Hikaru, Matsumoto, Ikuya, Yamao, Kosei, Kawabata, Takuya, Shiba, Tomoya, Yano, Yuga, Yokota, Atsuki, Kanaoka, Daiju, Yamaguchi, Hiromasa, Murai, Kazuya, Minje, Kim, Shen, Lu, Suzuka, Mayo, Anraku, Moeno, Yamaguchi, Naoki, Fujimatsu, Satsuki, Tokuno, Shoshi, Mizo, Tadataka, Fujino, Tomoaki, Nakadera, Yuuki, Shishido, Yuka, Nakaoka, Yusuke, Tanaka, Yuichiro, Morie, Takashi, and Tamukoh, Hakaru
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Computer Science - Robotics - Abstract
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset generator for training a robot vision system and an open-source development environment running on a Human Support Robot simulator. The large language model powered task planner selects appropriate primitive skills to perform the task requested by users. The team aims to design a home service robot that can assist humans in their homes and continuously attends competitions to evaluate and improve the developed system.
- Published
- 2024
268. Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
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Yu, Sungduk, Luo, Man, Madasu, Avinash, Lal, Vasudev, and Howard, Phillip
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
Peer review is a critical process for ensuring the integrity of published scientific research. Confidence in this process is predicated on the assumption that experts in the relevant domain give careful consideration to the merits of manuscripts which are submitted for publication. With the recent rapid advancements in the linguistic capabilities of large language models (LLMs), a new potential risk to the peer review process is that negligent reviewers will rely on LLMs to perform the often time consuming process of reviewing a paper. In this study, we investigate the ability of existing AI text detection algorithms to distinguish between peer reviews written by humans and different state-of-the-art LLMs. Our analysis shows that existing approaches fail to identify many GPT-4o written reviews without also producing a high number of false positive classifications. To address this deficiency, we propose a new detection approach which surpasses existing methods in the identification of GPT-4o written peer reviews at low levels of false positive classifications. Our work reveals the difficulty of accurately identifying AI-generated text at the individual review level, highlighting the urgent need for new tools and methods to detect this type of unethical application of generative AI.
- Published
- 2024
269. Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs
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You, Doohee, Lasri, Karim, and Fraiberger, Samuel
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Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
This study investigates efficient deduplication techniques for a large NLP dataset of economic research paper titles. We explore various pairing methods alongside established distance measures (Levenshtein distance, cosine similarity) and a sBERT model for semantic evaluation. Our findings suggest a potentially low prevalence of duplicates based on the observed semantic similarity across different methods. Further exploration with a human-annotated ground truth set is completed for a more conclusive assessment. The result supports findings from the NLP, LLM based distance metrics., Comment: 6 pages, 1 figure
- Published
- 2024
270. The Unique Taste of LLMs for Papers: Potential issues in Using LLMs for Digital Library Document Recommendation Tasks
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Tian, Yifan, Liu, Yixin, and Bu, Yi
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Computer Science - Digital Libraries - Abstract
This paper investigates the performance of several representative large models in the field of literature recommendation and explores potential biases. The results indicate that while some large models' recommendations can be somewhat satisfactory after simple manual screening, overall, the accuracy of these models in specific literature recommendation tasks is generally moderate. Additionally, the models tend to recommend literature that is timely, collaborative, and expands or deepens the field. In scholar recommendation tasks. There is no evidence to suggest that LLMs exacerbate inequalities related to gender, race, or the level of development of countries., Comment: There are some aspects in the original research that need to be supplemented with robustness checks
- Published
- 2024
271. Non-Markovian Rock-Paper-Scissors games
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Vilk, Ohad, Mobilia, Mauro, and Assaf, Michael
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Quantitative Biology - Populations and Evolution ,Condensed Matter - Statistical Mechanics ,Physics - Computational Physics - Abstract
There is mounting evidence that species interactions often involve long-term memory, with highly-varying waiting times between successive events and long-range temporal correlations. Accounting for memory undermines the common Markovian assumption, and dramatically impacts key ingredients of population dynamics including birth, foraging, predation, and competition processes. Here, we investigate a critical aspect of population dynamics, namely non-Markovian multi-species competition. This is done in the realm of the zero-sum rock-paper-scissors (zRPS) model that is broadly used in the life sciences to metaphorically describe cyclic competition between three interacting species. We develop a general non-Markovian formalism for multi-species dynamics, allowing us to determine the regions of the parameter space where each species dominates. In particular, when the dynamics are Markovian, the waiting times are exponentially distributed and the fate of the zRPS model in large well-mixed populations follows the so-called ``law of the weakest'' (LOW), predicting that the species with the lowest growth rate is the most likely to prevail. We demonstrate that the survival behavior and LOW of the zRPS model are critically affected by non-exponential waiting time distributions, and especially, by their coefficient of variation. Our findings provide key insight into the influence of long waiting times on non-Markovian evolutionary processes., Comment: 10 pages, 5 figures + appendices
- Published
- 2024
272. NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit
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Zhang, Linfeng, Hu, Changyue, and Quan, Zhiyu
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Computer Science - Information Retrieval ,Computer Science - Computation and Language ,Computer Science - Machine Learning - Abstract
As the body of academic literature continues to grow, researchers face increasing difficulties in effectively searching for relevant resources. Existing databases and search engines often fall short of providing a comprehensive and contextually relevant collection of academic literature. To address this issue, we propose a novel framework that leverages Natural Language Processing (NLP) techniques. This framework automates the retrieval, summarization, and clustering of academic literature within a specific research domain. To demonstrate the effectiveness of our approach, we introduce CyLit, an NLP-powered repository specifically designed for the cyber risk literature. CyLit empowers researchers by providing access to context-specific resources and enabling the tracking of trends in the dynamic and rapidly evolving field of cyber risk. Through the automatic processing of large volumes of data, our NLP-powered solution significantly enhances the efficiency and specificity of academic literature searches. We compare the literature categorization results of CyLit to those presented in survey papers or generated by ChatGPT, highlighting the distinctive insights this tool provides into cyber risk research literature. Using NLP techniques, we aim to revolutionize the way researchers discover, analyze, and utilize academic resources, ultimately fostering advancements in various domains of knowledge.
- Published
- 2024
273. A novel polydiacetylene-functionalized fibrinogen paper-based biosensor for on-spot and rapid detection of Staphylococcus aureus.
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Albashir D, Lu H, Gouda M, Acharya DR, Danhassan UA, Bakur A, Shi Y, and Chen Q
- Subjects
- Food Microbiology, Limit of Detection, Polymers chemistry, Staphylococcus aureus isolation & purification, Biosensing Techniques instrumentation, Polyacetylene Polymer chemistry, Food Contamination analysis, Fibrinogen chemistry, Fibrinogen metabolism, Paper
- Abstract
Staphylococcus aureus contamination continues to be a harmful foodborne pathogen threatening of human health, and there is a growing need for rapid detection technologies. This study proposed a novel paper biosensor based on a polydiacetylene (PDA) polymer functionalized fibrinogen (Fg) for the detection of S. aureus in food sources. The fluorophore was developed based on the high binding ability of fibrinogen-binding proteins on the surface of S. aureus. This binding caused twisting in the PDA backbone, leading to changes in chromatic and fluorescent. The detection limit of this method was 50.1 CFU/mL for S. aureus-contaminated foodstuffs and 65.0 CFU/mL for the pure S. aureus culture, and the novelty came from its rapidity and selectivity for S. aureus compared to other foodborne bacteria. In summary, the present work provides a rapid detection method for S. aureus detection, which will help in addressing food safety-related issues., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)
- Published
- 2024
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274. Quantification of creatinine in whole blood by a paper-based device using an RGB sensor.
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Gautam N, Verma R, Muduli PR, Kar S, and Sarkar A
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- Humans, Lab-On-A-Chip Devices, Limit of Detection, Point-of-Care Systems, Equipment Design, Creatinine blood, Paper, Colorimetry instrumentation, Colorimetry methods
- Abstract
Creatinine, an important biomarker for renal functions, is often conventionally estimated using the gold standard Jaffe reaction from blood, which involves the usage of a spectrophotometric measurement, thus restricting its utilization scope in point-of-care settings. Here, we report the development of a method for the single-step quantification of creatinine from whole blood using a paper-based microfluidic device. Our platform uses Whatman filter paper integrated with an LF1 membrane. The on-chip separation of blood plasma is achieved through the LF1 membrane, while the Whatman component of the device contains the embedded reagents for the Jaffe reaction. The combination of two different grades of paper enables a single-step quantification of creatinine as the separated blood plasma traverses to the reaction zone through capillary imbibition. Colorimetric readouts were quantified using an RGB sensor instead of a smartphone, which is highly platform dependent and incurs a relatively higher cost compared to the other components in typical point-of care (POC) devices. Our sensor was integrated within a 3D box, thereby making the detection virtually instrument free and perfectly suited for POC settings. The limit of detection (LOD) of our device was 0.219 mg dL
-1 , which falls within the lower range of physiological values. The coefficient of determination ( R2 ) for the linearity and median accuracy were 0.978 and 94.047%, respectively. The relative standard deviation (RSD) for precision measurements remained below 5% for the developed protocol. Furthermore, we validated the performance of our device with 35 clinical samples in laboratory settings against the gold standard measurements. Our Bland-Altman plot as well as t -test and chi-square test results clearly confirmed the validity of our device within a 95% confidence interval.- Published
- 2024
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275. Screen-Printed Piezoelectric Sensors on Tattoo Paper Combined with All-Printed High-Performance Organic Electrochemical Transistors for Electrophysiological Signal Monitoring.
- Author
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Makhinia A, Beni V, and Andersson Ersman P
- Subjects
- Wearable Electronic Devices, Humans, Electrochemical Techniques instrumentation, Electrochemical Techniques methods, Electrodes, Transistors, Electronic, Paper
- Abstract
This work demonstrates sensitive and low-cost piezoelectric sensors on skin-friendly, ultrathin, and conformable substrates combined with organic electrochemical transistors (OECTs) for the detection and amplification of alternating low-voltage input signals. The fully screen-printed (SP) piezoelectric sensors were manufactured on commercially available tattoo paper substrates, while the all-printed OECTs, relying on an extended gate electrode architecture, were manufactured either by solely using SP or by combining SP and aerosol jet printing (AJP) on PET substrates. Applying a low-voltage signal (±25 mV) to the gate electrode of the SP+AJP OECT results in approximately five times higher current modulation as compared to the fully SP reference OECT. The tattoo paper-based substrate enables transfer of the SP piezoelectric sensor to the skin, which in turn allows for radial pulse monitoring when combined with the SP+AJP OECT; this is possible due to the ability of the conformable sensor to convert mechanical vibrations into voltage signals along with the highly sensitive current modulation ability of the transistor device to further amplify the output signal. The results reported herein pave the way toward all-printed fully conformable wearable devices with high sensitivity to be further utilized for the real-time monitoring of electrophysiological signals.
- Published
- 2024
- Full Text
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276. A dual-mode homogeneous electrochemical-colorimetric biosensing sensor for carcinoembryonic antigen detection based on a microfluidic paper-based analysis device.
- Author
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Zhang Y, Xu J, Shen J, Zhang B, Xue T, Lv X, Zhang X, and Zhu G
- Subjects
- Humans, Lab-On-A-Chip Devices, Benzidines chemistry, Microfluidic Analytical Techniques instrumentation, Microfluidic Analytical Techniques methods, Horseradish Peroxidase chemistry, Carcinoembryonic Antigen analysis, Carcinoembryonic Antigen blood, Colorimetry instrumentation, Colorimetry methods, Paper, Biosensing Techniques methods, Biosensing Techniques instrumentation, Electrochemical Techniques methods, Electrochemical Techniques instrumentation, Limit of Detection, Enzyme-Linked Immunosorbent Assay methods, Enzyme-Linked Immunosorbent Assay instrumentation
- Abstract
Dual-mode-based sensors have drawn a lot of interest due to their high accuracy and sensitivity compared to single-response systems. A simple electrochemical and colorimetric dual-mode sensor based on enzyme-linked immunosorbent assay (ELISA), without complex electrode surface modification, was developed for accurate and sensitive detection of carcinoembryonic antigen (CEA). The target CEA is recognized by an antibody coupled to horseradish peroxidase (HRP), which then oxidizes the substrate 3,3',5,5'-tetramethylbenzidine (TMB) to generate both a colorimetric and an electrochemical signal. A paper-based analysis device (μPAD) with dual-mode homogeneous sensing microfluidic was created; three paper-based detection areas for colorimetric testing, and a two-electrode embedded detection area for electrochemical testing. When applying colorimetric analysis technology, the linear range of CEA detection is 0.6-40 ng mL
-1 , and the limit of detection (LOD) is 0.2 ng mL-1 . The linear range is 0.1-40 ng mL-1 and the LOD is 0.03 ng mL-1 by applying electrochemical analysis. The visibility and intuitiveness of colorimetry provide a reference for higher sensitivity and quick response of the electrochemical method. A smartphone application (APP) was also developed to realize the dual extraction of colorimetric signals. The colorimetric detection system based on ELISA can provide a new path for the development of electrochemical sensing and makes it have inherent self-verification and self-correction functions and is expected to provide more reliable and accurate detection results.- Published
- 2024
- Full Text
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277. Bacterial Cellulose Incorporating Multicolor Fluorescent Probes for Visual Acidity Detection in Paper-Based Cultural Relics.
- Author
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Zhang X, Yao J, Yan Y, Zhang Y, Tang Y, and Yang Y
- Subjects
- Hydrogen-Ion Concentration, Cadmium Compounds chemistry, Cellulose chemistry, Paper, Quantum Dots chemistry, Fluorescent Dyes chemistry, Tellurium chemistry, Rhodamines chemistry
- Abstract
Paper-based cultural relics often undergo acidification and deterioration during long-term preservation. Accurate detection of paper acidity is of great significance to assess aging status and extend the preservation lifetime of paper-based cultural relics. Rapid identification of the acidification degree and acid distribution across multiple regions of paper is essential. Inspired by fluorescent sensing technology, pH-sensitive cadmium telluride (CdTe) quantum dots (QDs) and rhodamine B (RB) fluorescent probes are synthesized and incorporated onto the nanofibers of a bacterial cellulose (BC) membrane to enable visual acidity detection of paper. Due to the complementary pH detection range of CdTe QDs and RB probes, the composite BC membrane exhibits a clear pH response across an acidic to neutral range (pH 3.0-7.5). Notably, the contrasting fluorescent colors of the two probes within the BC membrane allow for easy visualization of paper pH and acidity distribution with the naked eyes. A distinct color transition from red to green was observed on the fluorescent BC membrane when it is applied to a model paper with a gradient pH distribution. The feasibility of this method was verified by using the flat-headed pH electrode method. Additionally, common metal ions in most paper fillers, inks, pigments, as well as some sugars and amino acids showed minimal interference with the pH response of the composite BC membrane, highlighting its potential and broad applicability for visual acidity detection in paper-based cultural relics.
- Published
- 2024
- Full Text
- View/download PDF
278. Screen printed 3D microfluidic paper-based and modifier-free electroanalytical device for clozapine sensing.
- Author
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Ghanbari MH, Biesalski M, Friedrich O, and Etzold BJM
- Subjects
- Limit of Detection, Humans, Microfluidic Analytical Techniques instrumentation, Microfluidic Analytical Techniques methods, Antipsychotic Agents blood, Antipsychotic Agents chemistry, Lab-On-A-Chip Devices, Clozapine blood, Clozapine analysis, Clozapine chemistry, Paper, Printing, Three-Dimensional, Electrochemical Techniques methods, Electrochemical Techniques instrumentation, Electrodes
- Abstract
The increasing demand in healthcare for accessible and cost-effective analytical tools is driving the development of reliable platforms to the customization of therapy according to individual patient drug serum levels, e.g. of anti-psychotics in schizophrenia. A modifier-free microfluidic paper-based electroanalytical device (μPED) holds promise as a portable, sensitive, and affordable solution. While many studies focus on the working electrode catalysts, improvements by engineering aspects e.g. of the electrode arrangement are less reported. In our study, we demonstrate the enhanced capabilities of the 3D electrode layout of μPED compared to 2D μPED arrangements. We especially show that screen printing can be employed to prepare 3D μPEDs. We conducted a comparison of different 2D and 3D electrode arrangements utilizing cyclic voltammetry in [Fe(CN)
6 ]3-/4- , along with square-wave voltammetry for clozapine (CLZ) sensing. Our findings reveal that the utilization of the 3D μPED leads to an increase in both the electrochemically active surface area and the electron transfer rate. Consequently, this enhancement contributes to improve sensitivity in the CLZ sensing. The 3D μPED clearly outperforms the 2D μPED arrangement in terms of signal strength. With the 3D μPED under the optimized conditions, a linear dose-response for a concentration range from 7.0 to 100 μM was achieved. The limit of detection and sensitivity was determined to be 1.47 μM and 1.69 μA μM-1 cm-2 , respectively. This evaluation is conducted in the context of detection and determination of CLZ in a human blood serum sample. These findings underscore the potential of the 3D μPED for future applications in pharmacokinetic analyses and clinical tests to personalize the management of schizophrenia.- Published
- 2024
- Full Text
- View/download PDF
279. An ultrasensitive paper-based SERS sensor for detection of nucleolin using silver-nanostars, plastic antibodies and natural antibodies.
- Author
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Suleimenova A, Frasco MF, and Sales MGF
- Subjects
- Humans, Metal Nanoparticles chemistry, Limit of Detection, Biosensing Techniques methods, Molecularly Imprinted Polymers chemistry, Silver chemistry, Phosphoproteins immunology, Spectrum Analysis, Raman, Paper, Nucleolin, RNA-Binding Proteins immunology, Antibodies chemistry, Antibodies immunology
- Abstract
A state-of-the-art, ultrasensitive, paper-based SERS sensor has been developed using silver nanostars (AgNSs) in combination with synthetic and natural antibodies. A key component of this innovative sensor is the plastic antibody, which was synthesized using molecularly imprinted polymer (MIP) technology. This ground-breaking combination of paper substrates/MIPs with AgNSs, which is similar to a sandwich immunoassay, is used for the first time with the aim of SERS detection and specifically targets nucleolin (NCL), a cancer biomarker. The sensor device was carefully fabricated by synthesizing a polyacrylamide-based MIP on cellulose paper (Whatman Grade 1 filter) by photopolymerization. The binding of NCL to the MIP was then confirmed by natural antibody binding using a sandwich assay for quantitative SERS analysis. To facilitate the detection of NCL, antibodies were pre-bound to AgNSs with a Raman tag so that the SERS signal could indicate the presence of NCL. The composition of the sensory layers/materials was meticulously optimized. The intensity of the Raman signal at ∼1078 cm
-1 showed a linear trend that correlated with increasing concentrations of NCL, ranging from 0.1 to 1000 nmol L-1 , with a limit of detection down to 0.068 nmol L-1 in human serum. The selectivity of the sensor was confirmed by testing its analytical response in the presence of cystatin C and lysozyme. The paper-based SERS detection system for NCL is characterized by its simplicity, sustainability, high sensitivity and stability and thus embodies essential properties for point-of-care applications. This approach is promising for expansion to other biomarkers in various fields, depending on the availability of synthetic and natural antibodies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2024
- Full Text
- View/download PDF
280. Unveiling scientific articles from paper mills with provenance analysis.
- Author
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Cardenuto JP, Moreira D, and Rocha A
- Subjects
- Publications, Humans, Publishing, Paper, Scientific Misconduct
- Abstract
The increasing prevalence of fake publications created by paper mills poses a significant challenge to maintaining scientific integrity. While integrity analysts typically rely on textual and visual clues to identify fake articles, determining which papers merit further investigation can be akin to searching for a needle in a haystack, as these fake publications have non-related authors and are published on non-related venues. To address this challenge, we developed a new methodology for provenance analysis, which automatically tracks and groups suspicious figures and documents. Our approach groups manuscripts from the same paper mill by analyzing their figures and identifying duplicated and manipulated regions. These regions are linked and organized in a provenance graph, providing evidence of systematic production. We tested our solution on a paper mill dataset of hundreds of documents and also on a larger version of the dataset that deliberately included thousands of documents intentionally selected to distract our method. Our approach successfully identified and linked systematically produced articles on both datasets by pinpointing the figures they reused and manipulated from one another. The technique herein proposed offers a promising solution to identify fraudulent manuscripts, and it could be a valuable tool for supporting scientific integrity., Competing Interests: No authors have competing interests., (Copyright: © 2024 Cardenuto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
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281. Paper waste and carbon emissions from oral contraceptive leaflets.
- Author
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Safrai M, Elly D, Gruber N, Stern B, Kabiri D, and Shapira M
- Subjects
- Humans, Carbon Dioxide analysis, Female, Drug Packaging, Paper, Contraceptives, Oral
- Abstract
Oral contraceptives (OC) are the most used form of contraception among women in the U.S. and Europe. Like other medications, their packaging must include patient information leaflets. This study quantifies the environmental impact of paper waste generated by these leaflets. We conducted an observational analysis, measuring the weight of leaflets, pills, and packaging components across various OC brands. Significant variations in leaflet weights were observed. On average, leaflets accounted for 55% of the package weight, while pills and blister dispensers represented only 32%. The mean weight of OC leaflets was 12.3 ± 5.5 grams (4.7-21.9 grams), leading to an estimated annual paper waste of 6,118.4 tons, 5,763.5 tons of carbon dioxide equivalent emissions, and the use of approximately 146,841 trees for production. Standardizing leaflet weight to the lightest reported can reduce annual waste by 3780.5 tons of paper. This study highlights the substantial environmental cost of the waste generated from OC leaflets and proposes practical strategies to mitigate waste, including electronic leaflets and standardized packaging. Targeting these materials presents a significant opportunity to enhance sustainability, aligning with global efforts to reduce greenhouse gas emissions from the healthcare sector., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Safrai et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
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282. Mimicking a Cellular Crowding Environment for Enzyme-Free Paper-Based Nucleic Acid Tests at the Point of Care.
- Author
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Beard JW, Hunt SL, Evans A, Goenner C, and Miller BL
- Subjects
- Humans, Nucleic Acid Hybridization, Nucleic Acid Amplification Techniques methods, Point-of-Care Systems, Paper, DNA chemistry
- Abstract
Point of care (PoC) nucleic acid amplification tests (NAATs) are a cornerstone of public health, providing the earliest and most accurate diagnostic method for many communicable diseases in the same location where the patient receives treatment. Communicable diseases, such as human immunodeficiency virus (HIV), disproportionately impact low-resource communities where NAATs are often unobtainable due to the resource-intensive enzymes that drive the tests. Enzyme-free nucleic acid detection methods, such as hybridization chain reaction (HCR), use DNA secondary structures for self-driven amplification schemes, producing large DNA nanostructures, capable of single-molecule detection in cellulo . These thermodynamically driven DNA-based tests have struggled to penetrate the PoC diagnostic field due to their inadequate limits of detection or complex workflows. Here, we present a proof-of-concept NAAT that combines HCR-based amplification of a target nucleic acid sequence with paper-based nucleic acid filtration and enrichment capable of detecting sub-pM levels of synthetic DNA. We reconstruct the favorable hybridization conditions of an in cellulo reaction in vitro by incubating HCR in an evaporating, microvolume environment containing poly(ethylene glycol) as a crowding agent. We demonstrate that the kinetics and thermodynamics of DNA-DNA and DNA-RNA hybridization is enhanced by the dynamic evaporating environment and inclusion of crowding agents, bringing HCR closer to meeting PoC NAAT needs.
- Published
- 2024
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283. Inkjet Printing Patterned Plasmonic SERS Platform with Surface-Optimized Paper for Label-Free Detection of Illegal Drugs in Urine.
- Author
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Deng R, Xia Z, Yan F, Feng X, Zhang G, and Li X
- Subjects
- Humans, Metal Nanoparticles chemistry, Surface Properties, Limit of Detection, Printing, Ink, Substance Abuse Detection methods, Methamphetamine urine, Methamphetamine analysis, Spectrum Analysis, Raman methods, Paper, Illicit Drugs urine, Illicit Drugs analysis, Silver chemistry
- Abstract
Rapid quantitative testing of illegal drugs is urgently needed for precisely cracking down on drug crimes. Herein, an optimized paper-based surface-enhanced Raman spectroscopy (SERS) platform with patterned printing of plasmonic nanoparticles was constructed for the on-site quick testing of illegal drugs in urine. The filter paper was first coated with a layer of positive-charged chitosan, so as to reduce its roughness by filling the holes of the cellulose matrix and enhance the adhesion of negative-charged silver ink. Subsequently, hydrophobic modification was performed based on the binary silylation reaction, which could obviously improve the sensitivity of the paper-based SERS substrate by concentrating the amount of analyte. Meanwhile, SERS-active silver ink was fabricated and further printed on the surface of the above modified paper with custom-designed pattern (3 × 6). The performance of this SERS platform was assessed by using crystal violet (CV) as a model tag, and the obtained results proved it possesses excellent sensitivity and reproducibility, in which the relative standard deviation (RSD) dropped remarkably. More importantly, as a proof of concept, rapid detection of standard methylamphetamine (MAMP), one of the most widely abused drugs, was achieved with a limit of detection (LOD) of 1.43 ppb using a portable Raman spectrometer. And it also had a good capability in human urine sample detection, with a correlation index ( R ) up to 0.9927. This optimized paper-based SERS platform was easily manufactured, cheap, and portable, providing a new strategy for the on-site detection of illicit drugs.
2 ) up to 0.9927. This optimized paper-based SERS platform was easily manufactured, cheap, and portable, providing a new strategy for the on-site detection of illicit drugs.- Published
- 2024
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284. A paper-in-polymer-pond (PiPP) hybrid microfluidic microplate for multiplexed ultrasensitive detection of cancer biomarkers.
- Author
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Timilsina SS and Li X
- Subjects
- Humans, Prostate-Specific Antigen analysis, Microfluidic Analytical Techniques instrumentation, Polymers chemistry, Limit of Detection, Carcinoembryonic Antigen blood, Carcinoembryonic Antigen analysis, Polymethyl Methacrylate chemistry, Colorimetry instrumentation, Equipment Design, Enzyme-Linked Immunosorbent Assay instrumentation, Biomarkers, Tumor analysis, Biomarkers, Tumor blood, Paper, Lab-On-A-Chip Devices
- Abstract
Conventional affinity-based colorimetric enzyme-linked immunosorbent assay (ELISA) is one of the most widely used methods for the detection of biomarkers. However, rapid point-of-care (POC) detection of multiple cancer biomarkers by conventional ELISA is limited by long incubation time, large reagent volume, and costly instrumentation along with low sensitivity due to the nature of colorimetric methods. Herein, we have developed a reusable and cost-effective paper-in-polymer-pond (PiPP) hybrid microfluidic microplate for ultrasensitive and high-throughput multiplexed detection of disease biomarkers within an hour without using specialized instruments. A piece of pre-patterned chromatography paper placed in the PMMA polymer pond facilitates rapid protein immobilization to avoid intricate surface modifications of polymer and can be changed with a fresh paper layer to reuse the device. Reagents can be simply delivered from the top PMMA layer to multiple microwells in the middle PMMA layer via flow-through microwells, thereby increasing the efficiency of washing and avoiding repeated manual pipetting or costly robots. Quantitative colorimetric analysis was achieved by calculating the brightness of images scanned by an office scanner or a smartphone camera. Sandwich-type immunoassay was performed in the PiPP hybrid device after the optimization of multiple assay conditions. Limits of detection of 0.32 ng mL
-1 for carcinoembryonic antigen (CEA) and 0.20 ng mL-1 for prostate-specific antigen (PSA) were obtained, which were about 10-fold better than those of commercial ELISA kits. We envisage that this simple but versatile hybrid device can have broad applications in various bioassays in resource-limited settings.- Published
- 2024
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285. A rapid and ultrasensitive paper sensor for Bacillus cereus Haemolysin BL detection.
- Author
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Wei C, Xu X, Guo L, Qu A, Wu A, Xu C, and Kuang H
- Subjects
- Animals, Mice, Bacterial Proteins immunology, Immunoassay methods, Biosensing Techniques methods, Hemolysin Proteins analysis, Hemolysin Proteins chemistry, Hemolysin Proteins immunology, Bacillus cereus isolation & purification, Paper, Milk chemistry, Milk microbiology, Limit of Detection
- Abstract
Bacillus cereus is a foodborne opportunistic pathogen commonly found in humans and animals. It produces various toxins, causing frequent food safety incidents. Therefore, establishing a fast and accurate method for detecting B. cereus enterotoxin is crucial for disease diagnosis and food safety. In this study, Haemolysin BL comprising Hbl B and L2 was obtained from a prokaryotic expression system and then used to immunize mice for antibody preparation. Paired antibodies 2A10-5C7 against Hbl B and 1E2-10A4 against Hbl L2 were screened using the chessboard method and then used to construct a double-antibody sandwich detection method and a lateral flow immunochromatographic assay (LFIA) to quantify the concentrations of Hbl B and L2 in PBS and milk. The limits of detection for Hbl B and L2 in milk were 0.74 ng mL
-1 and 1 ng mL-1 with detection ranges of 1.48-645.5 ng mL-1 and 2.33-391.5 ng mL-1 . The spiked recoveries ranged from 82.2% to 105.67% and there was no cross-reactivity with common microbial toxins. The established LFIA was low in cost and rapid and was comparable with commercially available detection kits for food samples.- Published
- 2024
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286. Modular Point-of-Need Tropane Alkaloid Detection at Regulatory Levels: Combining Solid-Liquid Extraction from Buckwheat with a Paper-Immobilized Liquid-Phase Microextraction and Immuno-Detection in Interconnectable 3D-Printed Devices.
- Author
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Lemmink IB, Willemsen L, Beij E, Bovee TFH, Zuilhof H, and Salentijn GI
- Subjects
- Immunoassay methods, Printing, Three-Dimensional, Atropine analysis, Atropine isolation & purification, Fagopyrum chemistry, Tropanes isolation & purification, Tropanes analysis, Liquid Phase Microextraction methods, Paper
- Abstract
Contamination with tropane alkaloids in cereals is expected to increase globally. However, current identification tools (e.g., liquid chromatography-mass spectrometry) for tropane alkaloids are time-consuming and expensive. Furthermore, their miniaturized alternatives lack sensitivity and robustness. Therefore, there is a pressing need for inexpensive and effective screening methods. Here, an on-site applicable modular workflow for tropane alkaloid detection in buckwheat is presented. The modular workflow combines paper microfluidics and interconnectable 3D-printed sample preparation tools and was evaluated for different tropane alkaloids, including atropine and scopolamine. Furthermore, integration with an indirect competitive lateral flow immunoassay (icLFIA) for atropine detection at relevant levels was demonstrated. In the modular workflow, to minimize matrix coextraction, tropane alkaloids were extracted from the milled buckwheat cereals by a mixture of alkaline aqueous and immiscible organic solvents (extraction recoveries: 66-79%). The tropane alkaloids were subsequently concentrated with a newly developed paper-immobilized liquid-phase microextraction (PI-LPME, extraction recoveries: 34-60%, concentration factor to immobilized solution in paper: 60-108×). After the PI-LPME, with an integrated 3D-printed setup, the tropane alkaloids were directly eluted (elution recoveries: 83-93%) and detected with the icLFIA. Digital read-out of the icLFIA, by employing a hand-held reader, enabled semiquantification of atropine (IC
50 = 0.56 ng mL-1 in standard solutions). The modular workflow was validated by analyzing 24 blank and spiked buckwheat cereal samples with 5 and 10 μg kg-1 atropine. A cutoff value was established with an estimated false negative rate of 1% and estimated false positive rate of 0.68%. Therefore, the modular workflow can aid in fast, inexpensive, and on-site atropine detection by nonexperts, and when integrated with a scopolamine-specific icLFIA expanded toward scopolamine detection. Moreover, the developed sample extraction and concentration method (PI-LPME) is suitable for the analysis of many other compounds with pH-dependent polarity.- Published
- 2024
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- View/download PDF
287. Vibration mixing for enhanced paper-based recombinase polymerase amplification.
- Author
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Shimazu KN, Bender AT, Reinhall PG, and Posner JD
- Subjects
- Vibration, RNA, Viral analysis, RNA, Viral genetics, Humans, Paper, Nucleic Acid Amplification Techniques, Recombinases metabolism, HIV-1 genetics, DNA, Viral analysis, DNA, Viral genetics
- Abstract
Isothermal nucleic acid amplification tests (NAATs) are a vital tool for point-of-care (POC) diagnostics. These assays are well-suited for rapid, low-cost POC diagnostics for infectious diseases compared to traditional PCR tests conducted in central laboratories. There has been significant development of POC NAATs using paper-based diagnostic devices because they provide an affordable, user-friendly, and easy to store format; however, the difficulties in integrating separate liquid components, resuspending dried reagents, and achieving a low limit of detection hinder their use in commercial applications. Several studies report low assay efficiencies, poor detection output, and poorer limits of detection in porous membranes compared to traditional tube-based protocols. Recombinase polymerase amplification is a rapid, isothermal NAAT that is highly suited for POC applications, but requires viscous reaction conditions that has poor performance when amplifying in a porous paper membrane. In this work, we show that we can dramatically improve the performance of membrane-based recombinase polymerase amplification (RPA) of HIV-1 DNA and viral RNA by employing a coin cell-based vibration mixing platform. We achieve a limit of detection of 12 copies of DNA per reaction, nearly 50% reduction in time to threshold (from ∼10 minutes to ∼5 minutes), and an overall fluorescence output increase up to 16-fold when compared to unmixed experiments. This active mixing strategy enables reactions where the target and reaction cofactors are isolated from each other prior to the reaction. We also demonstrate amplification using a low-cost vibration motor for both temperature control and mixing, without the requirement of any additional heating components.
- Published
- 2024
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- View/download PDF
288. Development of a smartphone enabled, paper-based quantitative diagnostic assay using the HueDx color correction system.
- Author
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Menon N, Beery D, Sharma P, Crutchfield A, Kim L, Lauer A, Azimuddin A, and Wronko-Stevens B
- Subjects
- Humans, Software, Smartphone, Colorimetry instrumentation, Colorimetry methods, Color, Paper, Algorithms
- Abstract
Color correction is an important methodology where a digital image's colors undergo a transformation to more accurately represent their appearance using a predefined set of illumination conditions. Colorimetric measurements in diagnostics are sensitive to very small changes in colors and therefore require consistent, reproducible illumination conditions to produce accurate results, making color correction a necessity. This paper presents an image color correction pipeline developed by HueDx, Inc., using transfer algorithms that improve upon existing methodologies and demonstrates real-world applications of this pipeline in colorimetric clinical chemistry using a smartphone enabled, paper-based total protein diagnostic assay. Our pipeline is able to compensate for a variety of illumination conditions to provide consistent imaging for quantitative colorimetric measurements using white-balancing, multivariate gaussian distributions and histogram regression via dynamic, non-linear interpolating lookup tables. We empirically demonstrate that each point in the color correction pipeline provides a theoretical basis for achieving consistent and precise color correction. To show this, we measure color difference with deltaE (ΔE00), alongside quantifying performance of the HueDx color correction system, including the phone hardware, color sticker manufacturing quality and software correction capabilities. The results show that the HueDx color correction system is capable of restoring images to near-imperceptible levels of difference independent of their original illumination conditions including brightness and color temperature. Comparisons drawn from the paper-based total protein assay calibrated and quantified with and without using the HueDx color correction pipeline show that the coefficient of variation in precision testing is almost twice as high without color-correcting. Limits of blank, detection and quantitation were also higher without color-correction. Overall, we were able to demonstrate the HueDx platform improves reading and outcome of the total protein diagnostic assay and is useful for the development of smartphone-based quantitative colorimetric diagnostic assays for point-of-care testing., Competing Interests: Financial support for the development of this product was provided by HueDx,Inc., an early-stage venture-capital-backed company. All authors are employees of the company. The HueDx system, consisting of the color correction pipeline, HueCard(with custom sticker) and HueTools are commercially marketed products. Code for the color correction pipeline cannot be made available publicly due to legal restrictions., (Copyright: © 2024 Menon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
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289. Ecotoxicity of alkaline residue from the pulp and paper industry to soil faunal organisms.
- Author
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Biasi JP, Freitas TR, Lunardi EODS, Oliveira Filho LCI, Campos ML, Klauberg-Filho O, and Baretta D
- Subjects
- Animals, Brazil, Industrial Waste, Ecotoxicology, Environmental Monitoring, Oligochaeta drug effects, Soil Pollutants toxicity, Soil Pollutants analysis, Soil chemistry, Paper
- Abstract
The increased production and expanding demand for cellulosic products have required companies to provide solutions for the proper disposal of generated residues without compromising soil quality. In this context, the current research aimed at evaluating the ecotoxicological impacts of dregs application in subtropical soils. The experiments were carried out with the earthworm Eisenia andrei, the springtail Folsomia candida, and the potworm Enchytraeus crypticus in two subtropical soils (Neosol and Cambisol) collected in the southern region of Brazil. The considerable differences in texture and organic matter content motivated the choosing of these soils. The reproductive rate of all organisms was influenced, with varying EC
50 values depending on the soil type. However, more pronounced effects were observed for Neosol. The springtail F. candida proved to be the most sensitive to contamination (EC50 = 5.8 g kg-1 for Neosol and 48.5 g kg-1 for Cambisol), followed by the earthworm E. andrei (EC50 = 62.4 g kg-1 for Neosol and 129.5 g kg-1 for Cambisol) and the potworm E. crypticus (EC50 = 67.2 g kg-1 for Neosol and 230.4 g kg-1 for Cambisol). As a result, while dregs can be used to correct soil acidity, they have been shown to have negative effects on important organisms responsible for functions critical to maintaining ecosystem quality., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)- Published
- 2024
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290. Preparation of multi-barrier and multi-functional paper-based materials by chitosan, ethyl cellulose and green walnut husk biorefinery products for sustainable food packaging.
- Author
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Liu B, Sun F, Zhu P, Wang K, Peng L, Zhuang Y, and Li H
- Subjects
- Anti-Bacterial Agents chemistry, Anti-Bacterial Agents pharmacology, Antioxidants chemistry, Antioxidants pharmacology, Steam, Chitosan chemistry, Food Packaging methods, Cellulose chemistry, Cellulose analogs & derivatives, Juglans chemistry, Paper, Permeability
- Abstract
The growing interest in paper-based materials for packaging is driven by their renewable and eco-friendly characteristics. However, their poor barrier performance against water, oil, and gas limits their application in the food packaging industry. In this study, we developed a simple dual-layer coating method to create water- and oil-repellent, gas barrier, antioxidant, and antibacterial paper-based materials using naturally-derived materials, including chitosan (CS), ethyl cellulose (EC), and cascade biorefinery products from green walnut husk (GWHE and CNC). The bottom CS/CNC oil-resistant coating and the top EC/GWHE water-resistant coating were applied to the paper surface. The synergistic effect of these coatings enhances the gas barrier and imparts functional properties to the paper. Compared to uncoated paper, the dual-layer-coated paper demonstrated a 239.1 % increase in tensile index, a higher kit rating value of 12/12, a lower Cobb 60 value of 3.21 mg/m
2 , a 44.0 % decrease in water vapor permeability (WVP), and a 90.7 % reduction in air permeability (AP). Additionally, this coated paper exhibited good antioxidant and antibacterial properties and favorable biodegradability. This study provides novel insights into the valorization of GWH waste and presents a sustainable strategy for producing high-performance paper-based materials for food packaging applications., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)- Published
- 2024
- Full Text
- View/download PDF
291. Hierarchical porous MOF-199 mediated cellulosic paper for selective CO 2 capture.
- Author
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Hao D, Wang P, Liu J, Zhan H, Zhou T, and Fu B
- Subjects
- Porosity, Adsorption, Carbon Dioxide chemistry, Cellulose chemistry, Metal-Organic Frameworks chemistry, Paper
- Abstract
MOF-199 is considered to be an excellent CO
2 adsorbent owing to its substantial specific surface area, suitable pore structure and abundant sorption sites. However, powdered MOF-199 is prone to agglomeration and has poor recyclability. Herein, we proposed a MOF-199-based adsorbent by combining the MOF synthesis process with traditional papermaking process. Through such a design, MOF-199 particles are adhered on the surface of wood pulp fiber. The sufficient hydroxyl groups and electrostatic forces of cellulose facilitates the homogeneous and tight adhesion of MOF crystals. The optimal MP-4 sample demonstrated a high CO2 adsorption capacity (1.80 mmol·g--1 at 25 °C) and good CO2 /N2 selectivity (30.06). Moreover, the composite sorbent can be easily regenerated. The adsorption mechanism was analyzed by the density functional theory approach. The simulation results showed that the carboxyl functional groups with a large number of oxygen atoms and active metal sites are the key to boost the CO2 adsorption performance., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)- Published
- 2024
- Full Text
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292. Transient paper-based electrochemical biosensor Fabricated by superadditive Cu-TCPP(Fe)/Mxene for Multipathway non-invasive, highly sensitive detection of Bodily metabolites.
- Author
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Ji G, Wang J, Wang Z, Zhang S, Fang Z, Wang Y, and Gao Z
- Subjects
- Humans, Biosensing Techniques methods, Uric Acid urine, Uric Acid analysis, Uric Acid chemistry, Electrochemical Techniques methods, Copper chemistry, Paper, Limit of Detection, Glucose analysis
- Abstract
Current advances in non-invasive fluid diagnostics highlight unique benefits for monitoring metabolic diseases. However, the low concentrations and complex compositions of biomarkers in fluids such as sweat, urine, and saliva impose stringent demands on the sensitivity and stability of detection technologies. Here, we developed a high-sensitivity, low-cost instantaneous electrochemical sensor based on the superadditive effect mechanism of Cu-TCPP(Fe)/Mxene (MMs Paper-ECL Sensor), which has been successfully applied for the simultaneous real-time detection of glucose and uric acid. Strong interfacial interactions between Mxene and Cu-TCPP(Fe) were revealed through precise simulation calculations and multi-dimensional characterization analysis, significantly enhancing the sensor's electrocatalytic performance and reaction kinetics. Experimentally, this exceptional electrocatalytic activity was demonstrated in its unprecedented high sensitivity and wide linear detection range for glucose and uric acid, with a non-invasive linear range from 0.001 nM to 5 mM, 0.025 nM-5 mM, detection limits as low as 1.88 aM and 5.80 pM, and stability extending up to 100 days. This represents not only a breakthrough in sensitivity and stability but also provides an effective, low-cost solution that overcomes the limitations of existing electronic devices, enabling multi-channel simultaneous detection. The universality of this sensor holds vast potential for application in the field of non-invasive fluid diagnostics., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
293. Combining surface-enhanced Raman spectroscopy (SERS) and paper spray mass spectrometry (PS-MS) for illicit drug detection.
- Author
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Dogruer Erkok S, Gallois R, Leegwater L, Gonzalez PC, van Asten A, and McCord B
- Subjects
- Gold chemistry, Silver chemistry, Substance Abuse Detection methods, Limit of Detection, Metal Nanoparticles chemistry, Humans, Surface Properties, Spectrum Analysis, Raman methods, Paper, Illicit Drugs analysis, Fentanyl analysis, Fentanyl analogs & derivatives, Mass Spectrometry methods
- Abstract
There is an ongoing effort in the US illicit drug market to make new psychoactive compounds more potent and addictive. Due to continuous chemical modifications, many fentanyl analogs are developed and mixed with more traditional illicit drugs, such as cocaine and heroin. Detecting fentanyl and fentanyl analogs in these illicit drug mixtures has become more crucial because of the increased potency and associated health risks. Most confirmatory procedures require time-consuming and expensive, highly sophisticated laboratory equipment and experimental procedures, which can delay critical information that might save a victim or find a suspect. In this study, we propose miniaturizing and accelerating this process by combining surface-enhanced Raman spectroscopy (SERS) analysis and paper spray mass spectrometry (PS-MS). For this aim, dual-purposed paper substrates were developed through soaking in Au/Ag nanostars suspensions. These novel, in-house prepared paper SERS substrates showed stability for up to four weeks with and without the presence of drug compounds. Fentanyl analogs with similar SERS spectra were differentiated by coupling with PS-MS. The limit of detection (LOD) for fentanyl on the paper substrates is 34 μg/mL and 0.32 μg/mL for SERS and PS-MS, respectively. Fentanyl and fentanyl analogs show selective SERS enhancement that helped to detect trace amounts of these opioids in heroin and cocaine street samples. In short, we propose the combination of SERS/PS-MS by using modified paper substrates to develop cost-effective, sensitive, rapid, portable, reliable, and reproducible methods to detect illicit drugs, especially trace amounts of fentanyl and fentanyl analogs in illicit drug mixtures. The combination of these two category A techniques allows for the identification of illicit drugs according to the SWGDRUG guidelines., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)
- Published
- 2024
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- View/download PDF
294. Paper-based analytical device for point-of-care nucleic acid quantification combining CRISPR/Cas12a and a personal glucose meter.
- Author
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Tanifuji Y, Tong G, Hiruta Y, and Citterio D
- Subjects
- Humans, Point-of-Care Systems, DNA, Viral analysis, DNA, Viral genetics, Blood Glucose Self-Monitoring instrumentation, Blood Glucose Self-Monitoring methods, Biosensing Techniques methods, Biosensing Techniques instrumentation, Point-of-Care Testing, Glucose analysis, CRISPR-Cas Systems, Paper, Limit of Detection
- Abstract
Although CRISPR-based nucleic acid detection has great potential in point-of-care testing due to its simplicity, it has been rarely integrated into paper-based analytical devices (PADs), which are attractive platforms to simplify assays. This work introduces a CRISPR-assisted nucleic acid quantification approach integrated into a PAD with signal readout by a personal glucose meter (PGM). Retention of magnetic beads by filter paper and pre-deposition of all required reagents by freeze-drying stabilized with trehalose enabled the indirect quantification of human papilloma virus (HPV) DNA through a PGM readout without complicated user intervention and complex reagent handling. The calculated limit of detection was 57 pM, which is comparable with other amplification-free CRISPR-based assays detecting nucleic acids. The fully integrated device exhibited good storage stability for up to 4 weeks, suggesting its applicability toward practical point-of-care nucleic acid quantification.
- Published
- 2024
- Full Text
- View/download PDF
295. A wax chalk and self-heating paper-based analytical device (SH-PAD) for the detection of bisphenol A.
- Author
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Panicker S, Prabhu A, Sundarrajan B, Quadros BP, and Mani NK
- Subjects
- Waxes chemistry, Waxes analysis, Hydrophobic and Hydrophilic Interactions, Humans, Equipment Design, Limit of Detection, Benzhydryl Compounds analysis, Phenols analysis, Paper
- Abstract
Bisphenol A (BPA) is a synthetic xenoestrogen widely present in the environment, known for its toxicity, endocrine-disrupting nature, carcinogenicity, and mutagenic effects on living organisms. The detection of BPA is essential as it infiltrates the human body through food, water, dust and dermal contact. Conventional methods currently in use are inadequate for on-the-spot detection. Consequently, there is a pressing need to build an all-in-one device that can be quickly fabricated using readily available and cost-effective off-the-shelf materials for the detection of BPA. Firstly, we have leveraged wax chalk for fabricating hydrophobic barriers on paper, which offers a hydrophilic channel resolution of 1.64 mm ± 0.05 mm and also the ability to confine major aqueous solvents without leakage. The fabricated device was used to detect BPA using the Folin-Ciocalteu reagent and sodium carbonate (in the presence of heat). Secondly, we have developed a self-heating paper-based analytical device (SH-PAD) using masking tape, lamination paper and Whatman filter paper. This cost-effective approach (0.017$) is based on an exothermic reaction caused by sodium hydroxide and a small quantity of aluminium in the paper layers and can retain heat adequately for more than 5 minutes, addressing the challenge of external heat sources and enabling effective and rapid colorimetric detection of BPA using the Folin-Ciocalteu reagent and sodium carbonate. Both methods can detect up to 2 μg mL
-1 in spiked water samples. This developed method's user-friendliness and cost-effectiveness make it a promising candidate for point-of-care diagnostics or detection, providing testing capabilities in areas with limited resources.- Published
- 2024
- Full Text
- View/download PDF
296. Humidity-enhanced microfluidic plasma separation on Chinese Xuan-papers.
- Author
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Wu X, Min S, Zhan T, Huang Y, Niu H, and Xu B
- Subjects
- Humans, Blood Glucose analysis, Equipment Design, Lab-On-A-Chip Devices, Humidity, Microfluidic Analytical Techniques instrumentation, Paper, Plasma chemistry
- Abstract
The first step in blood testing necessitates blood separation to obtain an adequate volume of plasma. Traditional centrifugation is bulky, expensive and electricity-powered, which is not suitable for micro-scale blood plasma separation in point-of-care testing (POCT) cases. Microfluidic paper-based plasma separation devices present a promising alternative for plasma separation in such occasions. However, they are limited in terms of plasma yield, which hinders analyte detection. Herein, we proposed a humidity-enhanced paper-based microfluidic plasma separation method to address this issue. Specifically, paper was first treated by blood-typing antibodies, then samples of whole blood were introduced into the prepared paper. After waiting for 5 min for RBC agglutination and plasma wicking under high humidity, micro-scale plasma separation from whole blood was achieved. As a result, an extremely high plasma yield of up to 60.1% could be separated from whole blood through using Xuan-paper. Meanwhile, the purity of plasma could reach 99.99%. Finally, this innovative approach was effortlessly integrated into distance-based glucose concentration detection, enabling rapid determination of blood glucose levels through naked-eye observation. Considering the simplicity and inexpensiveness of this method, we believe that this technology could be integrated to more paper-based microfluidic analytical devices for rapid and accurate detection of plasma analytes in POCT.
- Published
- 2024
- Full Text
- View/download PDF
297. A dual colorimetric-electrochemical microfluidic paper-based analytical device for point-of-care testing of ischemic strokes.
- Author
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Dortez S, Pacheco M, Gasull T, Crevillen AG, and Escarpa A
- Subjects
- Humans, Transferrin analysis, Lab-On-A-Chip Devices, Iron blood, Equipment Design, Colorimetry instrumentation, Paper, Ischemic Stroke blood, Ischemic Stroke diagnosis, Point-of-Care Testing, Electrochemical Techniques instrumentation, Microfluidic Analytical Techniques instrumentation
- Abstract
A novel microfluidic paper-based analytical device with dual colorimetric and electrochemical detection (dual μPAD) was developed for the assessment of transferrin saturation (TSAT) in samples from ischemic stroke patients. TSAT was calculated from the ratio between transferrin-bound iron, which was colorimetrically measured, and the total iron-binding capacity, which was electrochemically measured. To this end, a μPAD was smartly designed, which integrated both colorimetric and electrochemical detection reservoirs, communicating via a microchannel acting as a chemical reactor, and with preloading/storing capabilities (reagent-free device). This approach allowed the dual and simultaneous determination of both parameters, providing an improvement in the reliability of the results due to an independent signal principle and processing. The μPADs were validated by analyzing a certified reference material, showing excellent accuracy ( E
r ≤ 5%) and precision (RSD ≤ 2%). Then they were applied to the analysis of diagnosed serum samples from ischemic stroke patients. The results were compared to those provided by a free-interference method (urea-PAGE). Impressively, both methods exhibited a good correlation ( r = 0.96, p < 0.05) and no significant differences were found between them (slope 1.0 ± 0.1 and the intercept 1 ± 4, p < 0.05), demonstrating the excellent accuracy of our approach during the analysis of complex samples from ischemic stroke patients, using just 90 μL of clinical samples and taking less than 90 min in comparison with the 18 hours required by the urea-PAGE approach. The developed fully integrated colorimetric-electrochemical μPAD is a promising ready to use reagent-free device for the point-of-care testing of TSAT, which can be used to assist physicians in the fast diagnosis and prognosis of ischemic strokes, where the decision-time is crucial for the patient's survival.- Published
- 2024
- Full Text
- View/download PDF
298. Multi-dimensional microfluidic paper-based analytical devices (μPADs) for noninvasive testing: A review of structural design and applications.
- Author
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Chen T, Sun C, Abbas SC, Alam N, Qiang S, Tian X, Fu C, Zhang H, Xia Y, Liu L, Ni Y, and Jiang X
- Subjects
- Humans, Equipment Design, Saliva chemistry, Point-of-Care Testing, Paper, Microfluidic Analytical Techniques instrumentation, Lab-On-A-Chip Devices
- Abstract
The rapid emergence of microfluidic paper-based devices as point-of-care testing (POCT) tools for early disease diagnosis and health monitoring, particularly in resource-limited areas, holds immense potential for enhancing healthcare accessibility. Leveraging the numerous advantages of paper, such as capillary-driven flow, porous structure, hydrophilic functional groups, biodegradability, cost-effectiveness, and flexibility, it has become a pivotal choice for microfluidic substrates. The repertoire of microfluidic paper-based devices includes one-dimensional lateral flow assays (1D LFAs), two-dimensional microfluidic paper-based analytical devices (2D μPADs), and three-dimensional (3D) μPADs. In this comprehensive review, we provide and examine crucial information related to paper substrates, design strategies, and detection methods in multi-dimensional microfluidic paper-based devices. We also investigate potential applications of microfluidic paper-based devices for detecting viruses, metabolites and hormones in non-invasive samples such as human saliva, sweat and urine. Additionally, we delve into capillary-driven flow alternative theoretical models of fluids within the paper to provide guidance. Finally, we critically examine the potential for future developments and address challenges for multi-dimensional microfluidic paper-based devices in advancing noninvasive early diagnosis and health monitoring. This article showcases their transformative impact on healthcare, paving the way for enhanced medical services worldwide., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
299. A portable lateral flow distance-based paper sensor for drinking water hardness test.
- Author
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Liu Y, Dong L, Wu W, Ping J, Chen J, and Hu Q
- Subjects
- Alginates chemistry, Alginates analysis, Viscosity, Hardness, Humans, Drinking Water analysis, Drinking Water chemistry, Magnesium analysis, Paper, Calcium analysis
- Abstract
Hardness is one of the basic parameters of water, and a high-level hardness of drinking water may be harmful to human health. Thus, it is very important to monitor drinking water hardness. In this work, a portable lateral flow distance-based paper sensor for the semi-quantitative detection of drinking water hardness is demonstrated. In the presence of Ca2+/Mg2+, the hydrogel can be formed via the chelation between sodium alginate and Ca2+/Mg2+, inducing a phase separation process. The viscosity change of the sodium alginate solution is directly related to the Ca2+/Mg2+ concentration and can be determined by the water lateral flow distance on test strips. The sensor successfully realizes the quantification of Ca2+ and Mg2+ in the range of 0-10 mmol L-1 and 4-20 mmol L-1, respectively. The recoveries are found varied from 95% to 108.9%. The water hardness is acceptable for drinking if the Cr values lies in the range of 0.259 to 0.419, and it is high with the Cr value above 0.595. Remarkably, the performance of the sensor is comparable with the commercial kit for real water samples, which avoids the subjective judgment. Overall, this method provides a portable approach for semi-quantitative detection of drinking water hardness with the merits of convenience and low cost, which shows great potential for the potential application., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
- Full Text
- View/download PDF
300. Fabrication of highly fluorescent graphene quantum dots for quantification of As 3+ ion using modified cellulose paper.
- Author
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Bhamore JR, Park J, Kailasa SK, and Park TJ
- Subjects
- Fluorescent Dyes chemistry, Fluorescent Dyes chemical synthesis, Spectrometry, Fluorescence, Ions analysis, Ions chemistry, Limit of Detection, Fluorescence, Graphite chemistry, Quantum Dots chemistry, Cellulose chemistry, Paper
- Abstract
Easy, economical, and swift detecting tools are very demanded for assaying various chemical species. The introduction of label-free paper-based read-out devices has significantly reached the demand of analytical science for target analytes assays. Herein, a facile, and disposable inexpensive paper-based sensing tool was fabricated for sensing As
3+ ion using graphene quantum dots (GQDs) as a fluorescent reader. The CA-GQDs were synthesized using citric acid (CA) as a precursor via the pyrolysis method, further physisorbed on the cellulose substrate for sensing of As3+ via aggregation-based fluorescence "turn-off" mechanism. The linear range for quantitating As3+ ion is in the range of 0.05-50 μM with a detection limit of 10 nM. The practical application of the CA-GQDs-based analytical platform was verified by assaying As3+ ion in water samples. The CA-GQDs-embedded paper strip can be easily extended for assaying of As3+ ion, which meets the demand for monitoring of As3+ ion in real samples., (© 2024 John Wiley & Sons, Ltd.)- Published
- 2024
- Full Text
- View/download PDF
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