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Hyperspectral remote sensing is a commonly used technical means for mineral detection on the Martian surface, which has important implications for the study of Martian geological evolution and the study for potential biological signatures. The increasing volume of Martian remote sensing data and complex issues such as the intimate mixture of Martian minerals make research on Martian mineral detection challenging. This paper summarizes the existing achievements by analyzing the papers published in recent years and looks forward to the future research directions. Specifically, this paper introduces the currently used hyperspectral remote sensing data of Mars and systematically analyzes the characteristics and distribution of Martian minerals. The existing methods are then divided into two groups, according to their core idea, i.e., methods based on pixels and methods based on subpixels. In addition, some applications of Martian mineral detection at global and local scales are analyzed. Furthermore, the various typical methods are compared using synthetic and real data to assess their performance. The conclusion is drawn that approach based on spectral unmixing is more applicable to areas with limited and unknown mineral categories than pixel-based methods. Among them, the fully autonomous hyperspectral unmixing method can improve the overall accuracy in real CRISM images and has great potential for Martian mineral detection. The development trends are analyzed from three aspects. Firstly, in terms of data, a more complete spectral library, covering more spectral information of the Martian surface minerals, should be constructed to assist with mineral detection. Secondly, in terms of methods, spectral unmixing methods based on a nonlinear mixing model and a new generation of data-driven detection paradigms guided by Mars mineral knowledge should be developed. Finally, in terms of application, the global mapping of Martian minerals toward a more intelligent, global scale, and refined direction should be targeted in the future. The data and source code in the experiment are available at http://rsidea.whu.edu.cn/Martian_mineral_detection.htm. [ABSTRACT FROM AUTHOR]

This paper reports the first observation of a giant kōkopu (Galaxias argenteus) spawning site in a tidal waterway and illustrates the usefulness of DNA barcoding for opportunistic discoveries that in this case involved the collection of a single egg. We describe key characteristics of the spawning site and compare them with the only other recorded giant kōkopu spawning location which was found in a much different environmental context far inland. This is also a novel observation of giant kōkopu and īnanga (G. maculatus) spawning on the same section of riverbank. Eggs from the two species occupied the same vertical elevation band, which together the consideration of tidal heights and the egg development stage suggest that the spawning event was triggered by a tidal cue. We discuss the implications of more widespread giant kōkopu spawning in tidal waterways, including historical perspectives contributing to their decline and the potential to reverse these trends. [ABSTRACT FROM AUTHOR]

Sustainable food practices within the food industry are pertinent to allow efficient food supply while not negatively impacting the environment. Alternative proteins have gained the attention of the food industry and consumers. To provide safe novel food products, these protein sources need to be assessed for potential allergen risk to ensure food safety and allow effective labelling to protect the consumer. In this review, the various detection assays applied to target potential allergens in novel and alternative foods are described together with their applications, mechanisms and limitations. Additionally, the use of non-thermal technologies to mitigate the reactivity of food allergens in these new products is explored. Non-thermal techniques including cold plasma, pulsed electric field, ultrasound and gamma irradiation are discussed. This review examines the potential mechanisms by which non-thermal technologies may reduce food allergenicity, primarily through alterations in protein epitopes that could affect antibody recognition. However, it is important to note that the understanding of the precise mechanisms and outcomes in allergen mitigation through these methods remains an area requiring further research. [ABSTRACT FROM AUTHOR]

Copyright of Die Ophthalmologie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Julia Creek dunnart, Sminthopsis douglasi, is a small, threatened carnivorous marsupial occurring in scattered populations in the grasslands of central and northwestern Queensland, Australia. The distribution of the species is largely unknown due to sporadic survey efforts and its historically low detection using traditional live trapping methods. There is an urgent need to determine the best methods of detection to optimise survey methodologies and more effectively manage species conservation efforts. In this study, we compared the effectiveness of live (Elliott) traps, baited white flash camera traps and thermal imagery binocular surveying for detecting S. douglasi. We deployed 40 white flash camera traps at two sites in Bladensburg National Park (south of Winton), where the species is known to occur, for three consecutive periods between June and November 2022. Four comparative sessions of live trapping were undertaken between April and August 2022 at the same locations. During the live trapping periods, a total of 12 nights of surveying were conducted with thermal imagery binoculars in a preliminary assessment of the technique. The total live trapping effort was 3600 trap nights (approximately 700 trap nights per site in each trapping event). Live trapping resulted in 12 detections of individual S. douglasi from 19 total captures. The highest trap success on a given trapping session was 1.71%, and overall trap success from both sites across all sessions was 0.53%. In comparison, baited camera traps (deployed facing the ground at 70 cm range) took 1,269,884 images over 5383 trap nights. There were 11 confirmed images of S. douglasi, on three individual occasions, which represented 2.10% of all small mammal captures and just 0.0009% of the total images. Four species of small mammals were detected using camera traps, whereas live trapping detected only two species. No small mammals were detected on any of the 12 thermal binocular surveys. Overall, our study highlights the comparative high utility of traditional live trapping for detecting S. douglasi. This research provides a framework for ongoing monitoring of the Bladensburg National Park population. It will be more broadly beneficial for informing the best detection techniques of S. douglasi in ongoing work investigating the overall distribution of the species. Similar studies assessing multiple detection methods for small terrestrial mammals have shown an advantage of white flash camera traps compared to other traditional detection techniques. Our contrasting results serve as a reminder that the utility of different techniques for detecting small mammals is best assessed on a species‐by‐species basis. [ABSTRACT FROM AUTHOR]

Since the onset of the COVID-19 pandemic, a variety of diagnostic approaches, including RT-qPCR, RAPID, and LFA, have been adopted, with RT-qPCR emerging as the gold standard. However, a significant challenge in COVID-19 diagnostics is the wide range of symptoms presented by patients, necessitating early and accurate diagnosis for effective management. Although RT-qPCR is a precise molecular technique, it is not immune to false-negative results. In contrast, CRISPR-based detection methods for SARS-CoV-2 offer several advantages: they are cost-effective, time-efficient, highly sensitive, and specific, and they do not require sophisticated instruments. These methods also show promise for scalability, enabling diagnostic tests. CRISPR technology can be customized to target any genomic region of interest, making it a versatile tool with applications beyond diagnostics, including therapeutic development. The CRISPR/Cas systems provide precise gene targeting with immense potential for creating next-generation diagnostics and therapeutics. One of the key advantages of CRISPR/Cas-based therapeutics is the ability to perform multiplexing, where different sgRNAs or crRNAs can target multiple sites within the same gene, reducing the likelihood of viral escape mutants. Among the various CRISPR systems, CRISPR/Cas13 and CARVER (Cas13-assisted restriction of viral expression and readout) are particularly promising. These systems can target a broad range of single-stranded RNA viruses, making them suitable for the diagnosis and treatment of various viral diseases, including SARS-CoV-2. However, the efficacy and safety of CRISPR-based therapeutics must be thoroughly evaluated in pre-clinical and clinical settings. While CRISPR biotechnologies have not yet been fully harnessed to control the current COVID-19 pandemic, there is an optimism that the limitations of the CRISPR/Cas system can be overcome soon. This review discusses how CRISPR-based strategies can revolutionize disease diagnosis and therapeutic development, better preparing us for future viral threats. [ABSTRACT FROM AUTHOR]

COVID-19 is an RNA virus belonging to the SARS family of viruses and includes a wide range of symptoms along with effects on other body organs in addition to the respiratory system. The high speed of transmission, severe complications, and high death rate caused scientists to focus on this disease. Today, many different investigation types are performed on COVID-19 from various points of view in the literature. This review summarizes most of them to provide a useful guideline for researchers in this field. After a general introduction, this review is divided into three parts. In the first one, various transmission ways COVID-19 are classified and explained in detail. The second part reviews the used biological samples for the detection of virus and the final section describes the various methods reported for the diagnosis of COVID-19 in various biological matrices. [ABSTRACT FROM AUTHOR]

Simple Summary: Foot-and-mouth disease (FMD), caused by the foot-and-mouth disease virus (FMDV), is a prevalent infectious disease in swine. Timely detection and isolation of pigs infected with this virus are among the most effective strategies to prevent the disease's spread and mitigate potential economic damage. We have established a set of RT-qPCR detection methods for FMDV, which offer significant advantages. Notably, this detection method can effectively identify foot-and-mouth disease virus even in the presence of both exogenous and endogenous interfering substances. Furthermore, it exhibits high sensitivity, strong specificity, and good repeatability, enabling 100% detection of FMDV. The global livestock industry is facing a serious threat from a widespread foot-and-mouth disease virus (FMDV) epidemic. The timely detection of FMDV can significantly mitigate its harmful effects. This study aimed to establish and evaluate a TaqMan fluorescence quantitative PCR assay to assess its sensitivity, specificity, reproducibility, and stability. The standard curve equation range is 6.43 × 109–6.43 × 101 copies/µL, with an R2 value of 0.996 and a standard curve equation of y = −3.586x + 36.245. The method successfully detected 64.3 copies/µL of the target gene for FMDV and exhibited high specificity for FMDV. Repeatability tests demonstrated low coefficients of variation within and between groups (<2%), indicating good reproducibility. The clinical samples analyzed using this method showed results consistent with those of the SYBR Green I RT-qPCR assay, confirming the reliability of the method. Overall, the developed test method displayed high sensitivity, specificity, reproducibility, and stability, making it suitable for the rapid diagnosis of foot-and-mouth disease in clinical settings. [ABSTRACT FROM AUTHOR]

Poultry and livestock meat are important parts of the human diet. As living standards have improved, food taste has become a major influence on consumer quality assessment and meat purchasing choices. There is increasing research interest in meat taste and meat taste‐active compounds, which include free amino acids, flavor nucleotides, taste‐active peptides, organic acids, soluble sugars, and inorganic ions. Taste component research is also an important part of sensory science. A deeper understanding of the meat taste perception mechanism and interactions among different taste compounds will promote the development of meat science and sensory evaluation. This article reviews the main taste compounds in meat, factors influencing their concentrations, and the identification and measurement of taste‐active compounds, as well as summarizing the mechanisms of taste sensing and perception. Finally, the future of scientific taste component evaluation is discussed. This review provides a theoretical basis for research on meat taste and an important reference for the development of the meat industry. [ABSTRACT FROM AUTHOR]

Remote sensing image change detection is an important research in the field of remote sensing, which aims to use remote sensing technology and image processing methods to identify the patterns and trends of surface cover changes. In order to gain a deeper understanding of the current development of this area and the technical methods used, a large amount of information and literatures are summarized and analyzed to provide a more comprehensive review of remote sensing image change detection methods. Firstly, the concept and processing flow of change detection are introduced. Then the classification system of change detection methods is summarized from six angles, followed by a review of their development history. Subsequently, the principles and characteristics of various types of change detection methods are outlined, their advantages and disadvantages are briefly analyzed, and the real-world application value of change detection on remotely sensed images is discussed from six aspects. Some problems and shortcomings in the area are briefly analyzed, and some possible ways to improve these problems are proposed, while the obstacles that may be encountered in the practical application of these methods are also predicted. Finally, the change detection methods are summarized, and the future development direction is prospected, in order to better understand the research status and development trend of remote sensing image change detection methods, and provide reference for further research. [ABSTRACT FROM AUTHOR]

Photodynamic therapy (PDT) is a therapeutic modality that depends on the interaction of light, photosensitizers, and oxygen. The photon absorption and energy transfer process can lead to the Type II photochemical reaction of the photosensitizer and the production of singlet oxygen (1O2), which strongly oxidizes and reacts with biomolecules, ultimately causing oxidative damage to the target cells. Therefore, 1O2 is regarded as the key photocytotoxic species accountable for the initial photodynamic reactions for Type II photosensitizers. This article will provide a comprehensive review of 1O2 properties, 1O2 production, and 1O2 detection in the PDT process. The available 1O2 data of regulatory-approved photosensitizing drugs will also be discussed. [ABSTRACT FROM AUTHOR]

Triclosan (TCS), a halogenated aromatic hydrocarbon, is a highly persistent personal care product (PCP) with a varying concentration range, i.e. ng*L−1 − μg*L−1 in environmental matrices. TCS exhibits lethal effects on the environmental ecosystem and human health due to its antimicrobial resistance, carcinogenic effects, bioaccumulation, biomagnification, and endocrine disruptive activities. Since the sudden occurrence of the novel coronavirus disease 2019 (COVID-19), the worldwide production rate of TCS is very high because of the large requirement for disinfection, which may have led to its elevated concentration. Thus, the monitoring and regulation of TCS are of utmost importance from the perspective of its potential damage. The current review article deliberates on its persistence in aqueous and solid systems as well as its toxicological impact on algal, vertebrate, and invertebrate systems. The advanced monitoring techniques for detection up to nanogram levels, such as chromatographic techniques, electrochemical, optical, and electrophoresis methods, etc., have been discussed. The negative impacts of TCS on the environment raised a great concern about developing waste water treatment methods because of the inefficacy of conventional methods. The review also focuses on the removal and remediation techniques so as to develop better research directions for phasing out TCS. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The task of recognizing personal protective elements in workplace environments in real time is fundamental to protecting the employees in case of any accidents. This can be achieved by deploying a convolutional neural network (CNN) algorithm that can efficiently detect protective elements through surveillance devices. Therefore, this work proposes the construction of a model, implementing the you only look once (YOLO) detector, whose architecture has been one of the most tested according to literature review. YOLOv5 and YOLOv7 versions were used and a dataset of 2,000 images for four classes considered. This dataset was collection from various sources and labelled by the authors, of which 80% was used for training, 15% for testing and 5% for model validation. The most important metrics are presented, making a comparison between the models, and finally it was identified that YOLOv7 achieved a higher success rate, which could be considered a more complete solution for occupational health and safety management in companies. [ABSTRACT FROM AUTHOR]

Abstract Hepatitis E is recognized as a significant zoonotic disease burden in China, with the hepatitis E virus (HEV) identified as the etiological agent responsible for this disease. HEV exhibits no specific host tropism, which facilitates its transmission among various mammalian species, including humans, pigs, cattle, goats, and others. Currently, the availability of effective therapeutic agents and vaccines for HEV infection is limited. Therefore, a comprehensive understanding of the epidemiological characteristics of HEV, and the existing detection methods, is crucial for disease prevention and control. In this review, we provide an overview of the current knowledge on HEV in China, mainly focusing on detection strategies, molecular characteristics, and the prevalence of this pathogen in the human population and other susceptible species. This review will be useful to enhance public awareness of HEV and to accelerate disease control efforts in the future.

Whole-wheat foods are rich in various nutrients. Long-term consumption of whole-wheat foods can prevent chronic metabolic diseases, which has become a new trend in the healthy transformation of the grain industry. However, a standard system for whole-wheat foods is currently lacking, so product quality in the market is uneven. Consequently, developing a rapid and accurate method for authenticity identification and quantitative detection of whole-wheat foods is important for standardizing the market order. In this review, we briefly introduce the definition, standards and current detection status of whole-wheat foods, set forth the basis for the use of the whole wheat marker alkylresorcinols for the quality evaluation of whole-wheat foods, and summarize the quantitative detection methods of alkylresorcinols. Finally, we give an outlook on the future prospects and advantages of nanomaterials and bionics technology in the detection of whole-wheat foods, aiming to provide scientific references for the authenticity discrimination and quantitative analysis of whole-wheat foods.

Flavor substances endow foods with unique characteristics, which determine the aroma and taste sensory attributes of foods, directly affect food quality and reflect the characteristic quality and quality requirements of foods. Flavor substances play an important role in the research, production and consumption of foods, and deep research, development and utilization of flavor substances are important for the development of the food industry. In this paper, the definition and classification of flavor substances in foods are introduced, the synthesis mechanism of flavor substances through the fatty acid, amino acid, and carbohydrate metabolic pathways are elucidated, and the detection methods of flavor substances and their applications in the food processing industry are reviewed. Finally, the limitations of flavor substance detection are discussed and an outlook on future directions in this field is given. We hope that this review will provide directions for the development and utilization of food flavor substances.

Abstract Salmonella, the prevailing zoonotic pathogen within the Enterobacteriaceae family, holds the foremost position in global bacterial poisoning incidents, thereby signifying its paramount importance in public health. Consequently, the imperative for expeditious and uncomplicated detection techniques for Salmonella in food is underscored. After more than two decades of development, loop-mediated isothermal amplification (LAMP) has emerged as a potent adjunct to the polymerase chain reaction, demonstrating significant advantages in the realm of isothermal amplification. Its growing prominence is evident in the increasing number of reports on its application in the rapid detection of Salmonella. This paper provides a systematic exposition of the technical principles and characteristics of LAMP, along with an overview of the research progress made in the rapid detection of Salmonella using LAMP and its derivatives. Additionally, the target genes reported in various levels, including Salmonella genus, species, serogroup, and serotype, are summarized, aiming to offer a valuable reference for the advancement of LAMP application in Salmonella detection. Finally, we look forward to the development direction of LAMP and expect more competitive methods to provide strong support for food safety applications.

Copyright of Food & Fermentation Industries is the property of Food & Fermentation Industries and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Milk is an ideal environment for the growth of microorganisms, especially psychrotrophic bacteria, which can survive under cold conditions and produce heat-resistant enzymes. Psychrotrophic bacteria create the great problem of spoiling milk quality and safety. Several ways that milk might get contaminated by psychrotrophic bacteria include animal health, cowshed hygiene, water quality, feeding strategy, as well as milk collection, processing, etc. Maintaining the quality of raw milk is critically essential in dairy processing, and the dairy sector is still affected by the premature milk deterioration of market-processed products. This review focused on the recent detection and control strategies of psychrotrophic bacteria and emphasizes the significance of advanced sensing methods for early detection. It highlights the ongoing challenges in the dairy industry caused by these microorganisms and discusses future perspectives in enhancing milk quality through innovative rapid detection methods and stringent processing controls. This review advocates for a shift towards more sophisticated on-farm detection technologies and improved control practices to prevent spoilage and economic losses in the dairy sector. [ABSTRACT FROM AUTHOR]

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Seafood is abundant in high-quality protein, healthy fats (n-3 and n-6 PUFAs), minerals (calcium, magnesium, copper, selenium, and so on), and vitamin D. Functional compounds in seafood can protect against lifestyle-related diseases. Having had all the merits mentioned, it is also a highly putrefiable food item. To maintain quality and prolong seafood's shelf life, various chemicals have been added, including nitrite, sulfur dioxide, and formaldehyde. In this review, we summarize the uses, the incidence of added formalin contamination, and the approved limit for seafood products. Additionally, worldwide regulations or standards for the use of formalin in seafood products, as well as recent changes relevant to new methods, are highlighted. Although strict limits and regulations have been placed on the utilization of formaldehyde for seafood preservation, there are few incidences reported of formalin/formaldehyde detection in seafood products around Asian countries. In this context, various qualitative and quantitative detection methods for formaldehyde have been developed to ensure the presence of formaldehyde within acceptable limits. Besides this, different rules and regulations have been forced by each country to control formaldehyde incidence. Although it is not an issue of formaldehyde incidence in European countries, strict regulations are implemented and followed. [ABSTRACT FROM AUTHOR]

To classify and detect the type and content of petroleum hydrocarbon contaminants in the soil surface layer, fluorescence spectrometry is commonly used. The experimental oils were selected from three common engine oils available in the market: Loxson L-CKC220 gear oil, APSIN 10W-40 engine oil and Jaguar 200 SF MA 15W-40 motorcycle oil. The fluorescence spectra of the oils were obtained using the fluorescence-induced technique, the spectral wavelengths were selected using a genetic algorithm (GA), and the detection models were constructed by combining RF (Random Forest), AdaBoost, and Gradient Enhanced Decision Tree (GBDT) regression algorithms for classification, identification, and concentration prediction analysis. The experimental results show that the average accuracy of classification and identification of gear oil, engine oil and motorcycle oil reach 83.9, 97.8, and 92.2%, respectively. Comparative analysis of the prediction results of the three concentration regression models shows that while all algorithms have high model prediction accuracy, GA combined with GBDT regression model has the best prediction performance for gear oils, engine oils and motorcycle oils, and improves the prediction accuracies by 62.7, 42.3, and 48.3% compared to the prediction accuracies of the wavelength selection without the use of GA, respectively. In summary, GA-based spectral wavelength selection combined with machine learning algorithms has high prediction accuracy and precision for the classification and prediction of motor oil contaminants in selected specific soils, and can be used as an effective detection method. [ABSTRACT FROM AUTHOR]

The problematic issues of combating unmanned aerial vehicles (UAVs) are investigated. It is determined that due to the cheapness and large-scale production capabilities, the enemy has begun to actively use UAVs such as kamikaze strike drones and drones with drops (bombers), in particular FPV-drones. It is proved that the level of threat of such UAVs — battlefield drones is determined not only by their ability to select priority targets, and build an optimal trajectory even at the stage of attacking the target, but also by the difficulty of counteracting such means of destruction. For the most part, the problem of countering drones is related to the difficulty of their timely detection. Without solving this problem, the most modern means of fire destruction are unable to reliably counteract such a threat. It is proposed that, along with the classical detection methods, namely: acoustic, optical, radio engineering, radar, to use such detection methods as aerial and agent reconnaissance. The essence of this method is to determine the launch sites of drones, which allows to destroy enemy UAVs with mortar and small arms fire before the use of drones or to warn and target the detection system regarding the possible direction of use of drones and even their types. The basic principles of the formation of a detection and recognition system are defined and substantiated, which will allow to take into account the characteristics of drones as air targets, timely detect them and provide information to fire and electronic warfare. As the experience of the Russian-Ukrainian war shows, a system for detecting and recognizing air threats to troops and objects on the battlefield should be formed on the following principles: a combination of means in which detection methods are implemented and organizational measures for the use of these means; the ability to monitor and analyze the state and trends of the battlefield, planning options for using the system in accordance with the current or projected situation; constant collection of information on the movement of enemy UAVs, places of deployment. [ABSTRACT FROM AUTHOR]

Wastewater treatment plants (WWTPs) provide optimal conditions for the environmental spread of Legionella. As part of the Evaluation of Sanitary Risk Related to the Discharge of Wastewater to the Ground (SCA.Re.S) project, this study was conducted to evaluate the presence of Legionella in WWTP effluent and in groundwater samples collected from two wells located downstream from the plant. The samples were analyzed to determine the concentrations of Legionella spp using the standard culture-based method and molecular techniques, followed by genomic sequencing analysis. Legionella was detected only with the molecular methods (except in one sample of effluent positive for L. pneumophila serogroup 6), which showed viable Legionella pneumophila and L. non-pneumophila through the use of free DNA removal solution in both the effluent and groundwater, with concentrations that progressively decreased downstream from the plant. Viable L. pneumophila appeared to be slightly more concentrated in warm months. However, no significant differences (p ≥ 0.05) in concentrations between cold and warm months were observed. A genotypic analysis characterized the species present in the samples and found that uncultured Legionella spp, as yet undefined, constituted the prevalent species in all the samples (range 77.15–83.17%). WWTPs play an important role in the hygienic and sanitary quality of groundwater for different uses. The application of Legionella control systems during the purification of effluents is warranted to prevent possible outbreaks of legionellosis. [ABSTRACT FROM AUTHOR]

Tetrodotoxin (TTX) is a highly potent and widely distributed ion-channel marine neurotoxin; it has no specific antidote and poses a great risk to human health. Therefore, detecting and quantifying TTX to effectively implement prevention strategies is important for food safety. The development of novel and highly sensitive, highly specific, rapid, and simple techniques for trace TTX detection has attracted widespread attention. This review summarizes the latest advances in the detection and quantitative analysis of TTX, covering detection methods based on biological and cellular sensors, immunoassays and immunosensors, aptamers, and liquid chromatography-mass spectrometry. It further discusses the advantages and applications of various detection technologies developed for TTX and focuses on the frontier areas and development directions of TTX detection, providing relevant information for further investigations. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The application of agrochemicals in citrus fruits is widely used to improve the quality of crops, increase production yields, and prolong post-harvest life. However, these substances are potentially toxic for humans and the ecosystem due to their widespread use, high stability, and bioaccumulation. Conventional techniques for determining pesticide residues in citrus fruits are chromatographic methods coupled with different detectors. However, in recent years, the need for analytical strategies that are less polluting for the environment has encouraged the appearance of new alternatives, such as sensors and biosensors, which allow selective and sensitive detection of pesticide residues in real time. A comprehensive overview of the analytical platforms used to determine pesticide residues in citrus fruits and citrus-derived products is presented herein. The review focuses on the evolution of these methods since 2015, their limitations, and possible future perspectives for improving pesticide residue determination and reducing environmental contamination. [ABSTRACT FROM AUTHOR]

Salmonella, the prevailing zoonotic pathogen within the Enterobacteriaceae family, holds the foremost position in global bacterial poisoning incidents, thereby signifying its paramount importance in public health. Consequently, the imperative for expeditious and uncomplicated detection techniques for Salmonella in food is underscored. After more than two decades of development, loop-mediated isothermal amplification (LAMP) has emerged as a potent adjunct to the polymerase chain reaction, demonstrating significant advantages in the realm of isothermal amplification. Its growing prominence is evident in the increasing number of reports on its application in the rapid detection of Salmonella. This paper provides a systematic exposition of the technical principles and characteristics of LAMP, along with an overview of the research progress made in the rapid detection of Salmonella using LAMP and its derivatives. Additionally, the target genes reported in various levels, including Salmonella genus, species, serogroup, and serotype, are summarized, aiming to offer a valuable reference for the advancement of LAMP application in Salmonella detection. Finally, we look forward to the development direction of LAMP and expect more competitive methods to provide strong support for food safety applications. [ABSTRACT FROM AUTHOR]

Background: The concept of gene fusion describes the process of fusing two genes into one, which is closely linked to tumour occurrence and development and may even be the direct cause of some tumours. Due to their tumour‐specific expression and ability to drive tumour occurrence and development, there is great potential for fusion genes to be used as diagnostic markers and targets for specific types of tumours. Main body: Although many fusion genes have been detected so far, they mainly focus on a small number of highly recurrent fusion genes detected in patients' tumours. There are few studies on the functional mechanism and clinical relevance of rare gene fusions. Our review discusses the generation mechanisms, detection methods, biological functions, and mechanisms of action of fusion genes. Additionally, we discuss the clinical significance of fusion gene detection in some tumour types. Conclusion: The function mechanism research of rare gene fusion is very necessary, and more functions of fusion genes independent of unfused/normal genes can be explored in future studies. There is still a long way to go in implementing precision tumour therapy targeting gene fusion. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue is the property of Beijing Research Institute of Mining & Metallurgy Technology Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Increased interest in the development and integration of navigation and positioning services into a wide range of receivers makes them susceptible to a variety of security attacks such as Global Navigation Satellite Systems (GNSS) jamming and spoofing attacks. The availability of low-cost devices including software-defined radios (SDRs) provides a wide accessibility of affordable platforms that can be used to perform these attacks. Early detection of jamming and spoofing interferences is essential for mitigation and avoidance of service degradation. For these reasons, the development of efficient detection methods has become an important research topic and a number of effective methods has been reported in the literature. This survey offers the reader a comprehensive and systematic review of methods for detection of GNSS jamming and spoofing interferences. The categorization and classification of selected methods according to specific parameters and features is provided with a focus on recent advances in the field. Although many different detection methods have been reported, significant research efforts toward developing new and more efficient methods remain ongoing. These efforts are driven by the rapid development and increased number of attacks that pose high-security risks. The presented review of GNSS jamming and spoofing detection methods may be used for the selection of the most appropriate solution for specific purposes and constraints and also to provide a reference for future research. [ABSTRACT FROM AUTHOR]

BACKGROUND: Titanium dioxide (TiO2) is banned in some countries but its use is still permitted in others. The global food supply chain is therefore challenged with the need to use rapid and reliable testing methods to either detect the presence of TiO2 or to quantify its concentration. The goal of this study was to determine the feasibility of using color, texture profile analysis, Raman microscopy, and X‐ray fluorescence (XRF) spectroscopy to detect and quantify TiO2 in fillings used in the pastry and confectionery industry. In this study, two types of fillings were investigated: vanilla based and chocolate based. All fillings were prepared in four different variations – without TiO2 and with three concentrations as follows: 0.25 g*kg‐1, 0.5 g*kg‐1, or 0.75 g*kg‐1 TiO2 per sample. The methods were selected for their ability to analyze the samples in a short period of time. RESULTS: All of the methods showed moderate to high potential for detecting TiO2 in the samples. The results reveal how TiO2 affects the food matrix color and texture. Use of Raman microscopy confirms its detectability, although concentrations of TiO2 do not follow a pattern. X‐ray fluorescence spectroscopy showed the greatest potential as it can not only detect TiO2 but can also quantify its concentration in the samples. CONCLUSIONS: The highest potential for quantifying the concentration of this food additive was achieved with XRF. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Serological tests are important to detect autoantibodies (autoAbs) in patients with autoimmune neuropathies (AN) and myasthenia gravis (MG) as they are biomarkers for diagnosis, stratification, treatment selection, and monitoring. However, tests to detect autoAbs frequently lack proper standardization and results differ across diagnostic laboratories. We compared results for tests routinely performed in Spanish diagnostic laboratories to detect AN and MG autoAbs. In the Spanish Society of Immunology Autoimmunity Group national workshop, serum samples from 13 patients with AN or MG were tested for anti-ganglioside, anti-myelin-associated glycoprotein (MAG), anti-nicotinic acetylcholine receptor (AChR), and anti-muscle-specific kinase (MuSK) autoAbs using reference methods and were distributed for analysis to 27 participating laboratories using their routine methods. Overserved were inter-laboratory variability and worryingly low sensitivity, especially for anti-ganglioside immunoglobulin G and anti-MAG autoAb detection. This pilot study reflects autoAbs detection state of the art in AN and MG testing in leading diagnostic laboratories in Spain, highlighting the need for standardization prior to clinical use. [ABSTRACT FROM AUTHOR]

Cultured meat, which involves growing meat in a laboratory rather than breeding animals, offers potential benefits in terms of sustainability, health, and animal welfare compared to conventional meat production. However, the cultured meat production process involves several stages, each with potential hazards requiring careful monitoring and control. Microbial contamination risks exist in the initial cell collection from source animals and the surrounding environment. During cell proliferation, hazards may include chemical residues from media components such as antibiotics and growth factors, as well as microbial issues from improper bioreactor sterilization. In the differentiation stage where cells become muscle tissue, potential hazards include residues from scaffolding materials, microcarriers, and media components. Final maturation and harvesting stages risk environmental contamination from nonsterile conditions, equipment, or worker handling if proper aseptic conditions are not maintained. This review examines the key microbiological and chemical hazards that must be monitored and controlled during the manufacturing process for cultured meats. It describes some conventional and emerging novel techniques that could be applied for the detection of microbial and chemical hazards in cultured meat. The review also outlines the current evolving regulatory landscape around cultured meat and explains how thorough detection and characterization of microbiological and chemical hazards through advanced analytical techniques can provide crucial data to help develop robust, evidence‐based food safety regulations specifically tailored for the cultured meat industry. Implementing new digital food safety methods is recommended for further research on the sensitive and effective detection of microbiological and chemical hazards in cultured meat. [ABSTRACT FROM AUTHOR]

The globally increasing contents of microplastics (MP) in ecosystems have become a serious environmental problem with far-reaching and at present unpredictable consequences for both aquatic life and human well-being. Until recently, most research on MP focused on marine ecosystems. Research on the occurrence of MP has lately started to focus on freshwater environments. This comprehensive and critical review examines the multifaceted problem of MP pollution in freshwater ecosystems, delving into its diverse sources, transport mechanisms, environmental impacts, detection methods, and mitigation strategies. The environmental impacts of MP pollution span a spectrum of impacts on aquatic life, food webs, and biodiversity in general. In addition, human health concerns have arisen due to potential exposures resulting from the consumption of contaminated freshwater and biological resources. The review summarizes analytical methods and technologies used to detect and quantify MP in freshwater samples, while recognizing the challenges and new innovations in this area. Mitigation and management strategies are explored, ranging from waste management and recycling initiatives to engineering solutions such as wastewater treatment and stormwater management. Legislative measures aimed at curbing MP pollution are also reviewed. Reviewed case studies highlight regional differences, and the unique challenges faced by different freshwater ecosystems. The review concludes by highlighting the urgent need for global awareness, further research, and coordinated action to address the growing problem of MP pollution in freshwater. As humanity faces this complex environmental challenge, interdisciplinary approaches, and international collaboration are essential for sustainable solutions and protection of freshwater ecosystems and health of the planet.

ABSTRACT The Julia Creek dunnart, Sminthopsis douglasi, is a small, threatened carnivorous marsupial occurring in scattered populations in the grasslands of central and northwestern Queensland, Australia. The distribution of the species is largely unknown due to sporadic survey efforts and its historically low detection using traditional live trapping methods. There is an urgent need to determine the best methods of detection to optimise survey methodologies and more effectively manage species conservation efforts. In this study, we compared the effectiveness of live (Elliott) traps, baited white flash camera traps and thermal imagery binocular surveying for detecting S. douglasi. We deployed 40 white flash camera traps at two sites in Bladensburg National Park (south of Winton), where the species is known to occur, for three consecutive periods between June and November 2022. Four comparative sessions of live trapping were undertaken between April and August 2022 at the same locations. During the live trapping periods, a total of 12 nights of surveying were conducted with thermal imagery binoculars in a preliminary assessment of the technique. The total live trapping effort was 3600 trap nights (approximately 700 trap nights per site in each trapping event). Live trapping resulted in 12 detections of individual S. douglasi from 19 total captures. The highest trap success on a given trapping session was 1.71%, and overall trap success from both sites across all sessions was 0.53%. In comparison, baited camera traps (deployed facing the ground at 70 cm range) took 1,269,884 images over 5383 trap nights. There were 11 confirmed images of S. douglasi, on three individual occasions, which represented 2.10% of all small mammal captures and just 0.0009% of the total images. Four species of small mammals were detected using camera traps, whereas live trapping detected only two species. No small mammals were detected on any of the 12 thermal binocular surveys. Overall, our study highlights the comparative high utility of traditional live trapping for detecting S. douglasi. This research provides a framework for ongoing monitoring of the Bladensburg National Park population. It will be more broadly beneficial for informing the best detection techniques of S. douglasi in ongoing work investigating the overall distribution of the species. Similar studies assessing multiple detection methods for small terrestrial mammals have shown an advantage of white flash camera traps compared to other traditional detection techniques. Our contrasting results serve as a reminder that the utility of different techniques for detecting small mammals is best assessed on a species‐by‐species basis.

Phospholipid is widely found in eggs, poultry, legume seeds and aquatic products, which is prone to oxidation degradation during food processing and storage. Moderate oxidation gives food a special flavor, while excessive oxidation will cause food quality deterioration and a decrease in food flavor. The oxidation of phospholipid could be influenced by light, temperature, and oxygen. Phospholipid oxidation is complex and gives rise to a wide range of products. When used singly, existing analytical techniques cannot accurately evaluate the level of phospholipid oxidation, and the regulation techniques for phospholipid oxidation have limitations from safety and economical perspectives. This paper gives an overview of the mechanism, detection and regulation techniques for the oxidative degradation of phospholipids, which will facilitate a systematic understanding of the oxidative degradation of phospholipids during the processing and storage of meat and aquatic products and may also provide a theoretical basis for regulating food flavor and improving food quality.