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Real-time monitoring of glucose concentration changes in plants and access to plant physiological information timely are of great significance to the development of precision agriculture. Here, we innovatively present an electrochemical sensing device that combines microneedle sensors and 3D printing technology to achieve real-time monitoring of glucose in plants in a minimally invasive manner. The device consists of two components: the inner part features a highly efficient sensing interface based on platinum wire (MPt-Au-Nafion-GOx-Pu), while the outer part consists of polymer microneedles formed by 3D printing. Additionally, the polymer hollow microneedle features a slender tip diameter of only 300 μm, minimizing plant damage during the detection procedure. The device shows good detection performance, with a limit of detection (LOD) of 33.3 μM and a detection sensitivity of 17 nA/μM·cm 2 . It can detect glucose concentrations in the range of 100 μM to 100 mM, providing a unique solution for timely agronomic management of crops tool. By performing 12 h real-time monitoring and salt stress treat on tomato and aloe vera, the results verified the feasibility of integrated device applied to real-time glucose detection in plants., 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 © 2023. Published by Elsevier B.V.)

Small molecules in plants - such as metabolites, phytohormones, reactive oxygen species (ROS), and inorganic ions - participate in the processes of plant growth and development, physiological metabolism, and stress response. Wearable electrochemical sensors, known for their fast response, high sensitivity, and minimal plant damage, serve as ideal tools for dynamically tracking these small molecules. Such sensors provide producers or agricultural researchers with noninvasive or minimally invasive means of obtaining plant signals. In this review we explore the applications of wearable electrochemical sensors in detecting plant small molecules, enabling scientific assessment of plant conditions, quantification of environmental stresses, and facilitation of plant health monitoring and disease prediction., Competing Interests: Declaration of interests No interests are declared., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Conventional immunocolorimetric sensing of biomolecules continues to be challenged with low sensitivity although its wide application as a diagnostic tool in medicine and biotechnology. Herein, we present a multifunctional immunocolorimetric sensing system for sensitive and high-throughput detection of B-type natriuretic peptide (BNP) with carbon-gold nanocomposite (CGNs) amplification. Using a "green" strategy, monodisperse carbon nanospheres (CNs) were successfully synthesized by glucose carbonization. A simple and efficient hydrothermal method was developed to assemble abundant gold nanoparticles (AuNPs) onto the surfaces of CNs. The resulting CGNs were characterized and utilized for biomarker detection with superior properties of easy manufacturing, good biocompatibility, satisfactory chemical stability, and high loading capacity for biomolecules. As a proof of concept, the as-prepared CGNs were conjugated with horseradish peroxidase-labeled antibody against BNP (CGNs@AntiBNP-HRP) functioning as the carrier, signal amplifier, and detector for the sensitive detection of BNP. Under optimal conditions, the established CGNs@AntiBNP-HRP immunoprobe remarkably enhanced the detection performance of BNP, achieving signal amplification of more than 9 times compared to the conventional method. Based on our self-developed bionic electronic eye (e-Eye) and CGNs@AntiBNP-HRP immunoprobe, the multifunctional sensing system displayed a wide dynamic linear range of 3.9-500 ng/mL and a LOD of 0.640 ng/mL for BNP detection with high specificity, good accuracy and reproducibility. This portable sensing system with enhanced performance demonstrates great potential for BNP detection in point of care applications, and offers a universal and reliable platform for in vitro biomarker detection.

Lung cancer, mainly non-small cell lung cancer (NSCLC), has been a global health problem, leading to maximum cancer death. Across adenocarcinoma patients, significant genetic and phenotypic heterogeneity was identified as responsible for individual cancer drug resistance, driving an urgent need for individualized treatment. High expectation has been set on individualized treatment for better responses and extended survival. There are pressing needs for and significant advantages of testing dosages and drugs directly on patient-specific cancer cells for preclinical drug testing and personalized drug selection. Monitoring the drug response based on patient-derived cells (PDCs) is a step toward effective drug development and individualized treatment. Despite the dependence on optical labels, optical equipment, and other complex manual operation, we here report a multidimensional biosensor system to guide adenocarcinoma individualized treatment by integrating 2D and 3D PDC models and cellular impedance biosensors. The cellular impedance biosensors were applied to quantitate drug response in 2D and 3D environments. Compared with 2D plate culture, 3D cultured cells were found to show higher resistance to anti-cancer drugs. Cell-cell, cell-ECM, and mechanical interactions in the 3D environment led to stronger drug resistance. The in vivo results demonstrated the reliability of the multidimensional biosensor system. Cellular impedance biosensors allow a fast, non-invasive, and quantitative manner for preselected drug screening in individualized treatment. Considering the potential for good distinguishment of different anti-cancer drugs, our newly developed strategy may contribute to drug response prediction in individualized treatment and new drug development.

Urolithiasis commonly occurs in kidney and ureteral, and may cause local organ/tissue damage, even kidney failure. The incidence of this disease is increasing worldwide, in which calcium oxalate is the major composition forming the urinary calculus. Therefore, to monitor this disease for the prevention and treatment, measuring the oxalate in the urine is of great significance. Here, a rapid and sensitive colorimetric method was developed based on 3,3',5,5'-tetramethylbenzidine-manganese dioxide (TMB-MnO 2 ) nanosheets for oxalate detection. MnO 2 nanosheets acted as an efficient biomimetic oxidase to catalyze the reaction with TMB and oxalate. Pale yellow TMB can be oxidized to blue oxide TMB catalyzed by BSA-stabilized MnO 2 nanosheets, and oxalate can selectively inhibit this reaction by consuming and reacting with MnO 2 nanosheets, thus achieving the quantitative detection of oxalate. Moreover, a home-made bionic electronic-eye (E-eye) system was developed as a portable in-situ detection platform to efficiently measure the oxalate concentrations in 10 s by direct photographing. By optimizing experimental conditions, this method shows a wide linear range (7.8 μM to 250 μM) and a low detection limit (0.91 μM) for oxalate detection. Besides, this method exhibits high selectivity even with 80-fold interfering chemicals. Furthermore, the performance of the method was validated by testing the artificial urine samples, indicating its great potential for monitoring and diagnosis of urolithiasis in point-of-care applications., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Preclinical efficacy and toxicity assessment of drug candidates plays a significant role in drug discovery and development. Traditional planar cell culture is a common way to perform the preclinical drug test, but it is difficult to correctly predict the drug efficacy and toxicity due to the simple two-dimensional (2D) extracellular microenvironment. Compared to the planar cell culture, three-dimensional (3D) cell culture system can better mimic the complex extracellular microenvironment where cells reside in the 3D tissues/organs in vivo. However, the conventional imaging techniques are difficult to achieve the dynamic and label-free monitoring of cellular behavior in thick sample by 3D cell culture. Here, 3D electric cell/matrigel-substrate impedance sensing (3D-ECMIS) is developed for real-time and non-invasive monitoring of 3D cell viability and drug susceptibility. In this study, human hepatoma cells (HepG2) are encapsulated in the matrigel scaffold and cultured in a 3D ECMIS chip which involves a pair of vertical golden electrodes on the opposite sidewalls of the culture chamber for the in-situ impedance measurement. Moreover, a portable multichannel system is developed to monitor the 3D cell/matrigel construct. The number of 3D-cultured cells was inversely proportional to the impedance magnitude of the entire cell/matrigel construct. Furthermore, anti-cancer drug screening will be conducted on the 3D-cultured cells when the cell proliferation reaches to a plateau phase. To validate the performance of 3D-ECMIS for the cell viability and drug susceptibility, the cell live/dead staining are utilized to confirm the results of drug susceptibility by this 3D-cell-based biosensor system. It is demonstrated that the 3D cell-based biosensor and 3D-ECMIS system will be a promising platform to improve the accuracy of cell-based anti-cancer drug screening in vitro., (Copyright © 2018 Elsevier B.V. All rights reserved.)

To perform the drug screening, planar cultured cell models are commonly applied to test efficacy and toxicity of drugs. However, planar cultured cells are different from the human 3D organs or tissues in vivo. To simulate the human 3D organs or tissues, 3D spheroids are developed by culturing a small aggregate of cells which reside around the extracellular matrix and interact with other cells in liquid media. Here we apply lung carcinoma cell lines to engineer the 3D lung cancer spheroid-based biosensor using the interdigitated electrodes for drug efficacy evaluation. The results show 3D spheroid had higher drug resistance than the planar cell model. The anticarcinogen inhibition on different 3D lung cancer spheroid models (A549, H1299, H460) can be quantitatively evaluated by electric impedance sensing. Besides, we delivered combination of anticarcinogens treatments to A549 spheroids which is commonly used in clinic treatment, and found the synergistic effect of cisplatin plus etoposide had higher drug response. To simultaneously test the drug efficacy and side effects on multi-organ model with circulatory system, a connected multiwell interdigitated electrode arraywas applied to culture different organoid spheroids. Overall, the organization of 3D cancer spheroids-based biosensor, which has higher predictive value for drug discovery and personalized medicine screening, is expected to be well applied in the area of pharmacy and clinical medicine.

Okadaic acid (OA), a representative diarrhetic shellfish poisoning toxin, mainly produced by toxigenic dinoflagellates, has significant hazard to public health. Traditional methods for detection of OA can not give the consideration to the need of rapid, high sensitive, quantitative and in-situ detection at the same time. Herein, a new effective detection method of OA was developed based on fluorescence immunosensor and flow cytometry (FCM). In this assay, Streptavidin-coated magnetic beads (MBs) were used as the supporter to immobilize the biotinylated OA. Modified MBs competed with the free OA in the sample solution to bind with the anti-OA monoclonal antibody (OA-MAb). The R-phycoerythrin (R-PE) dye labeled IgG was served as a secondary antibody to perform fluorescence detection. A portable flow cytometry was applied for the in-situ fluorescence quantification. The results showed that the OA concentration was inversely proportional to the R-PE fluorescence intensity. The detection method took within 50 min with a limit of detection (LOD) was 0.05 μg/L and range from 0.2 to 20 μg/L for OA detection. Moreover, the matrix effect and the recovery rate were assessed during real sample measurement, showing a high recovery. Performance features such as high sensitivity, low LOD, speediness and simplicity of the analysis protocol, shows this biosensing-systems as a promising tool for routine use.

Okadaic acid (OA) is a marine toxin ingested by shellfish. In this work, a simple, sensitive and label-free gap-based electrical competitive bioassay has been developed for this biotoxin detection. The gap-electrical biosensor is constructed by modifying interdigitated microelectrodes with gold nanoparticles (AuNPs) and using the self-catalytic growth of AuNPs as conductive bridges. In this development, the AuNPs growth is realized in the solution of glucose and chloroauric acid, with glucose oxidation used as the catalysis for growth of the AuNPs. The catalytic reaction product H 2 O 2 in turn reduces chloroauric acid to make the AuNPs grow. The conductance signal amplification is directly determined by the growth efficiency of AuNPs and closely related to the catalytic activity of AuNPs upon their interaction with OA molecule and OA aptamer. In the absence of OA molecule, the OA aptamer can absorb onto the surfaces of AuNPs due to electrostatic interaction, and the catalytically active sites of AuNPs are fully blocked. Thus the AuNPs growth would not happen. In contrast, the presence of OA molecule can hinder the interaction of OA aptamer and AuNPs. Then the AuNPs sites are exposed and the catalytic growth induces the conductance signal change. The results demonstrated that developed biosensor was able to specifically respond to OA ranging from 5 ppb to 80 ppb, providing limit of detection of 1 ppb. The strategy is confirmed to be effective for OA detection, which indicates the label-free OA biosensor has great potential to offer promising alternatives to the traditional analytical and immunological methods for OA detection.

Cell-based bioassays were effective method to assess the compound toxicity by cell viability, and the traditional label-based methods missed much information of cell growth due to endpoint detection, while the higher throughputs were demanded to obtain dynamic information. Cell-based biosensor methods can dynamically and continuously monitor with cell viability, however, the dynamic information was often ignored or seldom utilized in the toxin and drug assessment. Here, we reported a high-efficient and high-content cytotoxic recording method via dynamic and continuous cell-based impedance biosensor technology. The dynamic cell viability, inhibition ratio and growth rate were derived from the dynamic response curves from the cell-based impedance biosensor. The results showed that the biosensors has the dose-dependent manners to diarrhetic shellfish toxin, okadiac acid based on the analysis of the dynamic cell viability and cell growth status. Moreover, the throughputs of dynamic cytotoxicity were compared between cell-based biosensor methods and label-based endpoint methods. This cell-based impedance biosensor can provide a flexible, cost and label-efficient platform of cell viability assessment in the shellfish toxin screening fields.