Sensors & diagnostics最新文献

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A Liquid Crystal-based Biomaterial Platform for Rapid Sensing of Heat Stress using Machine learning 利用机器学习快速感知热应力的液晶生物材料平台
Sensors & diagnostics Pub Date : 2024-09-18 DOI: 10.1039/d4sd00213j
Prateek Verma, Elizabeth Adeogun, Elizabeth Greene, Sami Dridi, Ukash Nakarmi, Karthik Nayani
{"title":"A Liquid Crystal-based Biomaterial Platform for Rapid Sensing of Heat Stress using Machine learning","authors":"Prateek Verma, Elizabeth Adeogun, Elizabeth Greene, Sami Dridi, Ukash Nakarmi, Karthik Nayani","doi":"10.1039/d4sd00213j","DOIUrl":"https://doi.org/10.1039/d4sd00213j","url":null,"abstract":"Novel biomaterials that bridge the knowledge gap in coupling molecular/protein signatures of disease/stress via rapid readouts is a critical need of society. One such scenario is an imbalance between bodily heat production and heat dissipation which leads to heat stress in organisms. In addition to diminished animal well-being, heat stress is detrimental to the poultry industry as poultry entails fast growth and high yield, resulting in greater metabolic activity and higher body heat produc-tion. When stressed, cells overexpress heat shock proteins (such as HSP70, a well-established intracellular stress indicator) and may undergo changes in their mechanical properties. Liquid crystals (LCs, fluids with orientational order) are facile sen-sors as they can readily transduce chemical signals to easily observable optical responses. In this work, we introduce a hy-brid LC-cell biomaterial within which the difference in the expression of HSP70 is linked to optical changes in the response pattern via the use of convolutional neural networks (CNNs). The machine-learning (ML) models were trained on hundreds of such LC-response micrographs of chicken red blood cells with and without heat stress. Trained models exhibited remark-able accuracy of up to 99% on detecting the presence of heat stress in unseen microscope samples. We also show that cross-linking the chicken and human RBCs using glutaraldehyde in order to simulate a diseased cell was an efficient strategy for planning, building, training, and evaluating ML models. Overall, our efforts build towards desgining biomaterials that can rapidly detect disease in organisms that is accompanied by a distinct change in the mechanical properties of cells. We aim to eventuate CNN-enabled LC-sensors can rapidly report the presence of disease in scenarios where human judgment could be prohibitively difficult or slow.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modulation in the binding sites for adaptable DNA interactive probe: Efficient at chromo-fluorogenic meticulous recognition of Al3+ and its live cell bioimaging 调节 DNA 交互探针的结合位点:高效的 Al3+ 色荧光精细识别及其活细胞生物成像技术
Sensors & diagnostics Pub Date : 2024-09-18 DOI: 10.1039/d4sd00242c
Atanu Maji, Debarpan Mitra, Amitav Biswas, Moumita Ghosh, Rahul Naskar, Saswati Gharami, Nabendu Murmu, Tapan Kumar Mondal
{"title":"Modulation in the binding sites for adaptable DNA interactive probe: Efficient at chromo-fluorogenic meticulous recognition of Al3+ and its live cell bioimaging","authors":"Atanu Maji, Debarpan Mitra, Amitav Biswas, Moumita Ghosh, Rahul Naskar, Saswati Gharami, Nabendu Murmu, Tapan Kumar Mondal","doi":"10.1039/d4sd00242c","DOIUrl":"https://doi.org/10.1039/d4sd00242c","url":null,"abstract":"Herein, a chromone based simple reversible fluorescent “turn-on” probe HMCP [6-(Hydroxymethyl)-N'-((6-methyl-4-oxo-4H-chromen-3-yl)methylene)picolinohydrazide] was successfully introduced to detect Al3+ over a group of other coexisting metal ions in methanol at pH 7.2. The “turn on” emission response along with the effective enhancement in fluorescence intensity upon addition of Al3+ can be attributed to the inhibition of photo-induced electron transfer (PET) and C=N isomerization as well as initiation of Chelation-enhanced-fluorescence (CHEF). The sensor HMCP binds Al3+ in 1:1 stoichiometry with a brilliant binding constant and good detection limit in the order of 103 M-1 and 10-7 M respectively. The binding mode of interaction of HMCP with Al3+ was supported by 1H-NMR titration, HRMS, Job’s plot analysis, theoretical calculations and also by molecular logic gate applications. DNA binding study was also executed to elucidate possible bioactivity and found that HMCP interacts with DNA more effectively over other analogues. Furthermore, the applicability in live cell imaging study indicated that HMCP is highly efficient to detect exogenous Al3+ in living cells. In addition, real sample analysis and dip-stick experiment provide a wide range of practical application of the probe conveniently.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Point-of-care Biosensors and Devices for Diagnostics of Chronic Kidney Disease 用于诊断慢性肾病的床旁生物传感器和设备
Sensors & diagnostics Pub Date : 2024-09-16 DOI: 10.1039/d4sd00241e
Yuan Liu, Xinping Zhao, Min Liao, Guoliang Ke, Xiaobing Zhang
{"title":"Point-of-care Biosensors and Devices for Diagnostics of Chronic Kidney Disease","authors":"Yuan Liu, Xinping Zhao, Min Liao, Guoliang Ke, Xiaobing Zhang","doi":"10.1039/d4sd00241e","DOIUrl":"https://doi.org/10.1039/d4sd00241e","url":null,"abstract":"Chronic Kidney Disease (CKD) is a growing global health concern, necessitating early and accurate diagnostic tools to manage and mitigate its progression. Point-of-care (POC) biosensors and devices offer a promising solution for rapid, cost-effective, and accessible diagnostics. This review explores the latest advancements in POC biosensors and devices specifically designed for CKD diagnostics. In this review, we discuss the biosensors most likely to achieve on-site detection of CKD, focusing on their design and application in real samples, including electrochemical, fluorescent, colorimetric sensors. Also, the innovative platforms were summarized from lateral flow devices, lab-on-a-chip devices, and microfluidic-based devices. The potential of these technologies for real-time monitoring, early detection, and personalized treatment is underscored. The review concludes by envisioning future perspectives and the transformative impact of POC biosensors in CKD diagnostics, aiming to improve patient outcomes and healthcare efficiency.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Tumor Diagnosis Based on Nucleolus Labeling 基于核仁标记的肿瘤诊断
Sensors & diagnostics Pub Date : 2024-09-16 DOI: 10.1039/d4sd00238e
Caiwei Jia, Jiani Gao, Dong Xie, Jin-Ye Wang
{"title":"Tumor Diagnosis Based on Nucleolus Labeling","authors":"Caiwei Jia, Jiani Gao, Dong Xie, Jin-Ye Wang","doi":"10.1039/d4sd00238e","DOIUrl":"https://doi.org/10.1039/d4sd00238e","url":null,"abstract":"The nucleolus is crucial for ribonucleoprotein particle assembly. Vital molecular regulators such as RB (retinoblastoma protein) and p53 (tumor suppressor protein) influence nucleolar function and tumorigenesis. The absence or inactivation of these proteins often leads to nucleolar dysfunction and alteration, which is a key indicator among the primary histopathological features of malignancy. These changes are closely related to the proliferation, differentiation, and survival of tumor cells, such as abnormalities in the number, size, and shape of nucleoli. In recent years, as the relationship between nucleoli and tumorigenesis has been further explored, various nucleolar labeling techniques have been developed for pathological analysis and tumor diagnosis, such as immunohistochemistry (IHC)/immunofluorescence (IF), and fluorescence labeling. These methods complement the traditional use of transmission electron microscopy (TEM) for observing nucleoli. In this review, we explore the relationship between the nucleolus and tumorigenesis and evaluate current methods for diagnosing tumors by examining nucleolar characteristics. We discuss the advantages, disadvantages, and applications of diagnostic techniques such as TEM, IHC/IF, and fluorescence labeling for analyzing the nucleolus.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142249606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent advances in sensor arrays aided by machine learning for pathogen identification 机器学习辅助病原体识别传感器阵列的最新进展
Sensors & diagnostics Pub Date : 2024-09-10 DOI: 10.1039/d4sd00229f
Xin Wang, Ting Yang, Jian-Hua Wang
{"title":"Recent advances in sensor arrays aided by machine learning for pathogen identification","authors":"Xin Wang, Ting Yang, Jian-Hua Wang","doi":"10.1039/d4sd00229f","DOIUrl":"https://doi.org/10.1039/d4sd00229f","url":null,"abstract":"The development of rapid and accurate pathogen detection methods is of paramount importance for slowing the evolution of antibiotic resistance in bacteria. However, the high similarity between different pathogens, especially between antibiotic-sensitive and antibiotic-resistant strains of the same species presents great challenges for the precise discrimination of pathogens. In recent years, chemical nose strategies, i.e. sensor arrays, have achieved certain success in pathogen discrimination. Currently, chemical nose strategies for identifying pathogens are mainly designed from two perspectives: the disparity in extrinsic properties (biomolecules, charge, and hydrophobicity of the bacterial surface) and intrinsic properties (processes and products mediated by bacterial enzymes) among different pathogens. Biosensing probes capable of responding to these properties are introduced for pathogen detection. The output signals are then processed and analyzed by machine learning algorithms to visualize the multidimensional detection results and achieve pathogen discrimination. This paper introduces the latest developments in sensor arrays for pathogen identification based on the extrinsic and intrinsic nature of bacteria, highlights the recognition mechanism of probes for bacteria, and outlines the current challenges and prospects of sensor arrays for pathogen discrimination.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Compact device prototype for turn-on fluorescent detection of Sarin based on reactive 4,4-diaryloxy-BODIPY derivatives 基于活性 4,4-二叔丁氧基-BODIPY 衍生物的沙林荧光检测紧凑型设备原型
Sensors & diagnostics Pub Date : 2024-09-10 DOI: 10.1039/d4sd00228h
Lu Liu, Sheng Li, Wendan Luo, Jiashuang Yao, Taihong Liu, Molin Qin, Zhiyan Huang, Liping Ding, Yu Fang
{"title":"Compact device prototype for turn-on fluorescent detection of Sarin based on reactive 4,4-diaryloxy-BODIPY derivatives","authors":"Lu Liu, Sheng Li, Wendan Luo, Jiashuang Yao, Taihong Liu, Molin Qin, Zhiyan Huang, Liping Ding, Yu Fang","doi":"10.1039/d4sd00228h","DOIUrl":"https://doi.org/10.1039/d4sd00228h","url":null,"abstract":"Development of fluorescent indicators for the efficient and accurate detection of lethal nerve agents has evoked extensive interest recently. Herein, we presented two spiranic 4,4-diaryloxy-BODIPY derivatives for efficient and fluorescence turn-on detection of Sarin in solution media. Colorimetric mode featured the merits of obvious color changes from dark to greenish fluorescence under UV light. Generated new fluorescence emission reached their maxima within several minutes and the peaks were assigned for the generated by-product oxo-BDP with ΦF ~ 20% in acetonitrile. The detection limits of two 4,4-diaryloxy-BODIPY for a simulant DCP were determined to be 13.2 nM and 8.2 nM, respectively. The underlying sensing mechanism was clarified as the synergistic effect of 4,4-bond cleaving and fluorescence turn-on related to the photoinduced electron transfer process. Furthermore, a compact tubular sensor and a sensing platform prototype were fabricated properly. Superior detection results and further evaluation for real samples and simulants could be conducted at the sub-mM level on-site. Successful trials aid in understanding the structure-function relationship of 4,4-disubstituted BODIPY chromophores as well as the future development of a miniaturized device prototype for on-site detection of chemical warfare agents.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Outstanding Reviewers for Sensors & Diagnostics in 2023 2023 年传感器与诊断领域的杰出评审员
Sensors & diagnostics Pub Date : 2024-09-06 DOI: 10.1039/d4sd90030h
{"title":"Outstanding Reviewers for Sensors & Diagnostics in 2023","authors":"","doi":"10.1039/d4sd90030h","DOIUrl":"https://doi.org/10.1039/d4sd90030h","url":null,"abstract":"We would like to take this opportunity to thank all of <em>Sensors &amp; Diagnostics</em>'s reviewers for helping to preserve quality and integrity in chemical science literature. We would also like to highlight the Outstanding Reviewers for <em>Sensors &amp; Diagnostics</em> in 2023.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An rGO-doped laser induced graphene electrochemical biosensor for highly sensitive exosome detection 用于高灵敏度外泌体检测的掺杂 rGO 的激光诱导石墨烯电化学生物传感器
Sensors & diagnostics Pub Date : 2024-09-02 DOI: 10.1039/d4sd00181h
Xiaoshuang Chen, Xiaohui Yan, Jiaoyan Qiu, Xue Zhang, Yunhong Zhang, Hongpeng Zhou, Yujuan Zhao, Lin Han, Yu Zhang
{"title":"An rGO-doped laser induced graphene electrochemical biosensor for highly sensitive exosome detection","authors":"Xiaoshuang Chen, Xiaohui Yan, Jiaoyan Qiu, Xue Zhang, Yunhong Zhang, Hongpeng Zhou, Yujuan Zhao, Lin Han, Yu Zhang","doi":"10.1039/d4sd00181h","DOIUrl":"https://doi.org/10.1039/d4sd00181h","url":null,"abstract":"In this study, we developed a novel electrochemical sensing chip integrated with reduced graphene oxide (rGO) with laser-induced graphene (LIG) for the detection of exosomes associated with breast cancer biomarkers. Employing laser-induced technology, a three-dimensional porous graphene material is fabricated on the surface of a flexible polyimide film, which is subsequently combined with rGO through π–π stacking. This integration facilitates the doping of two-dimensional and three-dimensional material (2D/3D) structures, significantly enhancing the conductivity of the electrode material. Additionally, this approach markedly improves the surface hydrophobicity and biomolecule affinity of LIG, optimizing the immobilization of specific antibodies for exosomes. Importantly, this experiment marks the first occasion of merging two-dimensional rGO with three-dimensional LIG, resulting in the construction of a high-performance biosensing chip that enables specific capture and highly sensitive detection of exosomes. Under optimized conditions, the quantitative detection range for exosomes is established at 5 × 10<small><sup>2</sup></small> to 5 × 10<small><sup>5</sup></small> particles per μL, with a limit of detection (LOD) of 166 particles per μL. The biosensor is successfully used to analyze exosomes in breast cancer cell lines and patient serum samples, proving its practical application. This electrochemical biosensing chip offers significant practical application value in the early screening and diagnosis of diseases.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clozapine sensing through paper-based microfluidic sensors directly modified via electro-deposition and electro-polymerization 通过电沉积和电聚合直接修饰的纸基微流体传感器传感氯氮平
Sensors & diagnostics Pub Date : 2024-08-28 DOI: 10.1039/d4sd00252k
Mohammad Hossein Ghanbari, Markus Biesalski, Oliver Friedrich, Bastian J. M. Etzold
{"title":"Clozapine sensing through paper-based microfluidic sensors directly modified via electro-deposition and electro-polymerization","authors":"Mohammad Hossein Ghanbari, Markus Biesalski, Oliver Friedrich, Bastian J. M. Etzold","doi":"10.1039/d4sd00252k","DOIUrl":"https://doi.org/10.1039/d4sd00252k","url":null,"abstract":"Microfluidic electrochemical sensors (μCS) can be portable, highly sensitive, and low-cost but are less frequently studied nor applied. Additionally, simultaneous electro-deposition of gold nanoparticles (ED (AuNPs)) and electro-polymerization of <small>L</small>-cysteine (EP (<small>L</small>-cys)) are introduced for the first time for modifying the surface of the working electrode through a paper-based microfluidic sensor. This study depicts that by employing such modification, the electrochemically active surface area (ECSA) and the electron transfer rate are increased together and result in improved sensitivity. The modified μCS is depicted to enable sensitive voltametric determination of, <em>e.g.</em>, clozapine (CLZ), an anti-psychotic drug to treat schizophrenia. The proposed sensor was characterized by different techniques, and several key parameters were optimized. Under the optimum conditions and using square-wave voltametry (SWV), a linear dose–response for a concentration range from 0.5 to 10.0 μM of CLZ was achieved. The limit of detection and sensitivity resulted in 70.0 nM and 0.045 mA cm<small><sup>−2</sup></small> μM<small><sup>−1</sup></small>, respectively. Besides, this excellent sensitivity combines with high stability, which was tested for six repetitive measurements with a single device resulting in high reproducibility. Additionally, this procedure was validated with measurements of clozapine in human blood plasma, which demonstrated the excellent applicability of the device, rendering it a promising platform for point-of-care diagnostics and environmental monitoring.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Development of a portable electrochemical sensing platform for impedance spectroscopy-based biosensing using an ARM-based microcontroller 利用基于 ARM 的微控制器开发基于阻抗光谱生物传感的便携式电化学传感平台
Sensors & diagnostics Pub Date : 2024-08-24 DOI: 10.1039/d4sd00234b
Joseph Charles Khavul Spiro, Kundan Kumar Mishra, Vikram Narayanan Dhamu, Avi Bhatia, Sriram Muthukumar, Shalini Prasad
{"title":"Development of a portable electrochemical sensing platform for impedance spectroscopy-based biosensing using an ARM-based microcontroller","authors":"Joseph Charles Khavul Spiro, Kundan Kumar Mishra, Vikram Narayanan Dhamu, Avi Bhatia, Sriram Muthukumar, Shalini Prasad","doi":"10.1039/d4sd00234b","DOIUrl":"https://doi.org/10.1039/d4sd00234b","url":null,"abstract":"Detecting pesticides like atrazine is a significant global health challenge due to their association with numerous foodborne illnesses. Traditional detection methods often lack sensitivity and time efficiency, highlighting the urgent need for improved early detection techniques to mitigate pesticide contamination and outbreaks. This study introduces a novel portable electrochemical prototype that integrates an ARM-based microcontroller with an impedance spectroscopy (EIS)-based biosensing system. The data processed through the algorithm generates easily interpretable impedance values. The platform demonstrates a broad detection range for atrazine (1 fg mL<small><sup>−1</sup></small> to 10 ng mL<small><sup>−1</sup></small>) with a limit of detection (LoD) of 1 fg mL<small><sup>−1</sup></small> and an assay processing time of approximately 5 minutes, showcasing its remarkable efficiency. The sensor consistently maintains cross-reactivity variation below 20%, ensuring reliable performance. This research aims to offer a low-cost, replicable mobile platform for biosensing applications, thereby enhancing access for individuals with limited lab-based research experience and broadening the scope of proactive pesticide monitoring.","PeriodicalId":74786,"journal":{"name":"Sensors & diagnostics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142182013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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