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Automated in-toilet hydration sensor for urinalysis on participants during a four-day prolonged walking exercise event: Prototype validation study
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-02-01 DOI: 10.1016/j.sbsr.2025.100763
Esther Kho , Eva C. Wentink , Vera D.M. Verbiest , David T. Young , Maria T.E. Hopman , Coen C.W.G. Bongers
Underhydration is a common problem in elderly, which can lead to serious health complications if left untreated. However, currently, there is no sufficient, non-obtrusive method to monitor underhydration status automatically. Therefore, a prototype was developed that automatically measures urine concentration during a toilet visit. This study validates this prototype for its capability to repeatedly and accurately measure the urine of 106 participants participating in a 4-day prolonged walking exercise event. The prototype contains 4 sensors that measure the color, conductivity, pH, and temperature of the urine sample while the participant uses the toilet. In total, the prototype analyzed 514 urine samples. In addition, the urine was automatically collected to measure the gold standard for urine concentration, urine specific gravity (USG), and osmolality. With a linear regression classification model and the USG reference, the data collected with the prototype was classified. The measured reference USG values range between 1.0025 and 1.0345. The prototype measurements strongly correlated to the USG reference, with an R-squared of 0.85 and a mean absolute error of 0.00215. As such, this study reports on a method that allows automated, repeated, and accurate urinalysis during a toilet visit. When used daily, this prototype offers potential for the non-obtrusive and time-effective underhydration estimation by monitoring urine.
{"title":"Automated in-toilet hydration sensor for urinalysis on participants during a four-day prolonged walking exercise event: Prototype validation study","authors":"Esther Kho ,&nbsp;Eva C. Wentink ,&nbsp;Vera D.M. Verbiest ,&nbsp;David T. Young ,&nbsp;Maria T.E. Hopman ,&nbsp;Coen C.W.G. Bongers","doi":"10.1016/j.sbsr.2025.100763","DOIUrl":"10.1016/j.sbsr.2025.100763","url":null,"abstract":"<div><div>Underhydration is a common problem in elderly, which can lead to serious health complications if left untreated. However, currently, there is no sufficient, non-obtrusive method to monitor underhydration status automatically. Therefore, a prototype was developed that automatically measures urine concentration during a toilet visit. This study validates this prototype for its capability to repeatedly and accurately measure the urine of 106 participants participating in a 4-day prolonged walking exercise event. The prototype contains 4 sensors that measure the color, conductivity, pH, and temperature of the urine sample while the participant uses the toilet. In total, the prototype analyzed 514 urine samples. In addition, the urine was automatically collected to measure the gold standard for urine concentration, urine specific gravity (USG), and osmolality. With a linear regression classification model and the USG reference, the data collected with the prototype was classified. The measured reference USG values range between 1.0025 and 1.0345. The prototype measurements strongly correlated to the USG reference, with an R-squared of 0.85 and a mean absolute error of 0.00215. As such, this study reports on a method that allows automated, repeated, and accurate urinalysis during a toilet visit. When used daily, this prototype offers potential for the non-obtrusive and time-effective underhydration estimation by monitoring urine.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"47 ","pages":"Article 100763"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143402693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quality assessment of chicken using machine learning and electronic nose
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-02-01 DOI: 10.1016/j.sbsr.2025.100739
Hassan Anwar , Talha Anwar
Meat is highly perishable food and prone to microbial contamination under various storage conditions. Quality assessment at both retail and industrial levels often relies on organoleptic properties, gas chromatography, and total bacterial count, all of which require trained personnel and significant resources. As a result, there is a need for a more efficient and reliable system to determine chicken quality. This study investigates the use of an electronic nose system—a sensor array that detects odors and generates data, which is then analyzed by machine learning algorithms to predict chicken freshness. An electronic nose system was developed using six MQ gas sensors and one humidity temperature sensor. Data was collected from chicken samples over a period of 15 days. To evaluate the performance of the machine learning algorithms, different data splitting approaches were tested to understand their impact on model accuracy. Random Forest achieved 100 % accuracy with randomly split data and 69 % accuracy with non-randomly split data. Support Vector Machine, using the recursive feature elimination technique, attained 78.5 % accuracy without random splitting. The study also reviewed existing literature, highlighting that random data splitting is not suitable for electronic nose data. Overall, the findings suggest that the electronic nose system, combined with appropriate data handling and machine learning techniques, can effectively assess chicken freshness, potentially offering a valuable tool for the poultry industry.
{"title":"Quality assessment of chicken using machine learning and electronic nose","authors":"Hassan Anwar ,&nbsp;Talha Anwar","doi":"10.1016/j.sbsr.2025.100739","DOIUrl":"10.1016/j.sbsr.2025.100739","url":null,"abstract":"<div><div>Meat is highly perishable food and prone to microbial contamination under various storage conditions. Quality assessment at both retail and industrial levels often relies on organoleptic properties, gas chromatography, and total bacterial count, all of which require trained personnel and significant resources. As a result, there is a need for a more efficient and reliable system to determine chicken quality. This study investigates the use of an electronic nose system—a sensor array that detects odors and generates data, which is then analyzed by machine learning algorithms to predict chicken freshness. An electronic nose system was developed using six MQ gas sensors and one humidity temperature sensor. Data was collected from chicken samples over a period of 15 days. To evaluate the performance of the machine learning algorithms, different data splitting approaches were tested to understand their impact on model accuracy. Random Forest achieved 100 % accuracy with randomly split data and 69 % accuracy with non-randomly split data. Support Vector Machine, using the recursive feature elimination technique, attained 78.5 % accuracy without random splitting. The study also reviewed existing literature, highlighting that random data splitting is not suitable for electronic nose data. Overall, the findings suggest that the electronic nose system, combined with appropriate data handling and machine learning techniques, can effectively assess chicken freshness, potentially offering a valuable tool for the poultry industry.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"47 ","pages":"Article 100739"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CRISPR-Cas12a based detection of EGFR gene mutation in cell free DNA for early diagnosis of Non-Small Cell Lung Cancer (NSCLC)
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-02-01 DOI: 10.1016/j.sbsr.2025.100735
Syeda Najidah Shahni , Sarah Albogami , Bijay Pattnaik , Iqbal Azmi , Syed Mansoor Ali , Kapil Dev , Anant Mohan , Jawed Iqbal , Amit Sharma , Tanveer Ahmad
Detecting EGFR mutations in circulating cell-free DNA (cfDNA) is essential for personalizing treatment and real-time monitoring of non-small cell lung cancer (NSCLC), especially when tissue biopsies are not an option. Conventional methods for identifying these mutations in cfDNA are limited and often require extensive laboratory set-up. The CRISPR-Cas system, notably the Cas12a variant used in the DETECTR method, presents a groundbreaking approach for highly sensitive and specific mutation detection in biological fluids, significantly advancing diagnostic capabilities. In this study, we present a novel, rapid, and precise method combining Recombinase Polymerase Amplification (RPA) for DNA amplification with a CRISPR-Cas12a fluorescence assay to detect EGFR mutations. This technique achieves attomole-level sensitivity without cross-reactivity, functions near 37°C, and delivers results within an hour, making it highly suitable for clinical applications in precision oncology. To further enhance its utility for point-of-care diagnostics, we integrated Cas12a with lateral flow-based detection, achieving single-copy detection sensitivity. In a clinical trial involving 57 NSCLC patient samples, this method successfully identified EGFR mutations, with results consistent with those obtained via PCR. The CRISPR-Cas12a based lateral flow assay demonstrated exceptional sensitivity and specificity, even detecting dual mutations simultaneously on a single test strip. These results position the CRISPR-Cas12a detection system as a straightforward, highly sensitive alternative to PCR, with significant potential for point-of-care applications in detecting cfDNA mutations.
{"title":"CRISPR-Cas12a based detection of EGFR gene mutation in cell free DNA for early diagnosis of Non-Small Cell Lung Cancer (NSCLC)","authors":"Syeda Najidah Shahni ,&nbsp;Sarah Albogami ,&nbsp;Bijay Pattnaik ,&nbsp;Iqbal Azmi ,&nbsp;Syed Mansoor Ali ,&nbsp;Kapil Dev ,&nbsp;Anant Mohan ,&nbsp;Jawed Iqbal ,&nbsp;Amit Sharma ,&nbsp;Tanveer Ahmad","doi":"10.1016/j.sbsr.2025.100735","DOIUrl":"10.1016/j.sbsr.2025.100735","url":null,"abstract":"<div><div>Detecting EGFR mutations in circulating cell-free DNA (cfDNA) is essential for personalizing treatment and real-time monitoring of non-small cell lung cancer (NSCLC), especially when tissue biopsies are not an option. Conventional methods for identifying these mutations in cfDNA are limited and often require extensive laboratory set-up. The CRISPR-Cas system, notably the Cas12a variant used in the DETECTR method, presents a groundbreaking approach for highly sensitive and specific mutation detection in biological fluids, significantly advancing diagnostic capabilities. In this study, we present a novel, rapid, and precise method combining Recombinase Polymerase Amplification (RPA) for DNA amplification with a CRISPR-Cas12a fluorescence assay to detect EGFR mutations. This technique achieves attomole-level sensitivity without cross-reactivity, functions near 37°C, and delivers results within an hour, making it highly suitable for clinical applications in precision oncology. To further enhance its utility for point-of-care diagnostics, we integrated Cas12a with lateral flow-based detection, achieving single-copy detection sensitivity. In a clinical trial involving 57 NSCLC patient samples, this method successfully identified EGFR mutations, with results consistent with those obtained via PCR. The CRISPR-Cas12a based lateral flow assay demonstrated exceptional sensitivity and specificity, even detecting dual mutations simultaneously on a single test strip. These results position the CRISPR-Cas12a detection system as a straightforward, highly sensitive alternative to PCR, with significant potential for point-of-care applications in detecting cfDNA mutations.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"47 ","pages":"Article 100735"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advanced sensing strategies for detecting zinc levels and zinc-related biomarkers in cancer pathogenesis
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2025-02-01 DOI: 10.1016/j.sbsr.2025.100754
Daniela Vieira , Graziele Cruzado , Edward Harvey , Geraldine Merle
Zinc and zinc-containing proteins are highlighted for their significant contributions to various physiological functions, with abnormal levels of these elements being associated with a wide range of diseases, including cancer, despite zinc itself not being considered a biomarker. Combining the detection of zinc and zinc-related biomarkers is an avenue to reliable and cost-effective monitoring. In this context, electrochemical sensing methods offer considerable advantages due to their rapid, simple, and cost-effective detection compared to standard methods. Recent advancements in electrochemical sensors have enhanced sensitivity for detecting low concentrations of zinc-related biomarkers present in early-stage cancer. Furthermore, incorporating carbon, gold, and bismuth nanostructures into sensor recognition elements enhances the capability for rapid, precise, and specific quantification of these biomarkers. This review discusses key zinc-related biomarkers, zinc levels and their roles in cancer development and progression, along with a comprehensive analysis of recent strategies to enhance the sensitivity and specificity of electrochemical sensors for zinc and zinc-related biomarkers.
{"title":"Advanced sensing strategies for detecting zinc levels and zinc-related biomarkers in cancer pathogenesis","authors":"Daniela Vieira ,&nbsp;Graziele Cruzado ,&nbsp;Edward Harvey ,&nbsp;Geraldine Merle","doi":"10.1016/j.sbsr.2025.100754","DOIUrl":"10.1016/j.sbsr.2025.100754","url":null,"abstract":"<div><div>Zinc and zinc-containing proteins are highlighted for their significant contributions to various physiological functions, with abnormal levels of these elements being associated with a wide range of diseases, including cancer, despite zinc itself not being considered a biomarker. Combining the detection of zinc and zinc-related biomarkers is an avenue to reliable and cost-effective monitoring. In this context, electrochemical sensing methods offer considerable advantages due to their rapid, simple, and cost-effective detection compared to standard methods. Recent advancements in electrochemical sensors have enhanced sensitivity for detecting low concentrations of zinc-related biomarkers present in early-stage cancer. Furthermore, incorporating carbon, gold, and bismuth nanostructures into sensor recognition elements enhances the capability for rapid, precise, and specific quantification of these biomarkers. This review discusses key zinc-related biomarkers, zinc levels and their roles in cancer development and progression, along with a comprehensive analysis of recent strategies to enhance the sensitivity and specificity of electrochemical sensors for zinc and zinc-related biomarkers.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"47 ","pages":"Article 100754"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143297521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Indirect determination of free chlorine in seawater by cyclic voltammetry using graphite–epoxy composite electrode: Hydrogen adsorption capacity of graphite–epoxy composite is one–third of that of platinum
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-12-01 DOI: 10.1016/j.sbsr.2024.100711
Kye Hak Ko
A new possibility of indirect determination of free chlorine using a graphite–epoxy composite(GEC) electrode instead of Pt disk electrode was suggested by interpreting the relationship between the peak current of the oxidation peak for hydrogen generated through water electrolysis in CV and the amount of the free chlorine. The linear response range of concentration was 0.06–0.2 mg∙L−1 with correlation coefficient of 0.9951 (n = 5) and the sensitivity of 1225 μA cm−2 mg−1 L. The limit of detection (LOD) calculated from the 3σ IUPAC criteria was 1.2 × 10−2 mg L−1. The relative standard deviation (RSD) to 0.06 mg L−1 was 4.65 %(n = 10). The results show that the amount of free chlorine in the disinfected seawater can be indirectly determined by using a GEC electrode without influence of interferences unlike a Pt disk electrode. On the other hand, in this paper, a new method is proposed to evaluate the relative hydrogen adsorption capacity by the sensitivity of GEC electrode compared with that of Pt disk electrode. During the investigation of the hydrogen adsorption on the surface of the working electrode, we obtained the result that the hydrogen adsorption capacity of GEC is one-third of that of platinum.
{"title":"Indirect determination of free chlorine in seawater by cyclic voltammetry using graphite–epoxy composite electrode: Hydrogen adsorption capacity of graphite–epoxy composite is one–third of that of platinum","authors":"Kye Hak Ko","doi":"10.1016/j.sbsr.2024.100711","DOIUrl":"10.1016/j.sbsr.2024.100711","url":null,"abstract":"<div><div>A new possibility of indirect determination of free chlorine using a graphite–epoxy composite(GEC) electrode instead of Pt disk electrode was suggested by interpreting the relationship between the peak current of the oxidation peak for hydrogen generated through water electrolysis in CV and the amount of the free chlorine. The linear response range of concentration was 0.06–0.2 mg∙L<sup>−1</sup> with correlation coefficient of 0.9951 (<em>n</em> = 5) and the sensitivity of 1225 μA cm<sup>−2</sup> mg<sup>−1</sup> L. The limit of detection (LOD) calculated from the 3<em>σ</em> IUPAC criteria was 1.2 × 10<sup>−2</sup> mg L<sup>−1</sup>. The relative standard deviation (<em>RSD</em>) to 0.06 mg L<sup>−1</sup> was 4.65 %(<em>n</em> = 10). The results show that the amount of free chlorine in the disinfected seawater can be indirectly determined by using a GEC electrode without influence of interferences unlike a Pt disk electrode. On the other hand, in this paper, a new method is proposed to evaluate the relative hydrogen adsorption capacity by the sensitivity of GEC electrode compared with that of Pt disk electrode. During the investigation of the hydrogen adsorption on the surface of the working electrode, we obtained the result that the hydrogen adsorption capacity of GEC is one-third of that of platinum.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100711"},"PeriodicalIF":5.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143130011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fabrication and characterization of inkjet-printed interdigitated electrodes for non-faradaic electrochemical detection of uromodulin in urine 非法拉第电化学检测尿调素的喷墨印刷交叉电极的制备与表征
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-12-01 DOI: 10.1016/j.sbsr.2024.100715
Kunj Vora , Norbert Kordas , Karsten Seidl
This work describes the simulation, design, and fabrication of an inkjet-printed impedance biosensor for uromodulin which is a urine biomarker for kidney disease. The interdigitated electrodes (IDE) were fabricated through inkjet printing of silver ink on polyethylene terephthalate (PET) substrate and subsequently passivated with SU-8 for non-faradaic measurements. We functionalized the passivated IDE with biotin-streptavidin complex and uromodulin antibody to detect uromodulin (6.75 μg/ml-100 μg/ml). The measured impedance due to uromodulin immobilized from artificial urine samples showed a 27.4 % change in impedance magnitude per μg/ml of uromodulin at 150 Hz (log scale). The limit of detection achieved is 25 ng/ml. The sensor demonstrated specificity to uromodulin when measured against albumin, which is another protein biomarker present in the urine. These results highlight the possibility of implementing non-faradaic impedance measurements using a passivated IDE as the sensor element. It also promotes the sensor fabrication method of inkjet printing. The sensor concept shows the implementation potential of IDE as a single-use-sensor for point-of-care applications.
这项工作描述了一种用于尿调素的喷墨打印阻抗生物传感器的模拟、设计和制造,尿调素是肾脏疾病的尿液生物标志物。通过在聚对苯二甲酸乙二醇酯(PET)衬底上喷墨打印银墨水制备了交叉指状电极(IDE),随后用SU-8钝化,用于非法拉第测量。用生物素-链亲和素复合物和尿调素抗体对经钝化的IDE进行功能化,检测尿调素(6.75 μg/ml ~ 100 μg/ml)。在150 Hz(对数标度)下,尿调素固定后的阻抗值每μg/ml变化27.4%。检出限为25 ng/ml。当与白蛋白(尿液中存在的另一种蛋白质生物标志物)进行测量时,该传感器显示出对尿调蛋白的特异性。这些结果强调了使用钝化IDE作为传感器元件实现非法拉第阻抗测量的可能性。同时也促进了喷墨打印传感器制造方法的发展。传感器概念显示了IDE作为一次性传感器在护理点应用中的实现潜力。
{"title":"Fabrication and characterization of inkjet-printed interdigitated electrodes for non-faradaic electrochemical detection of uromodulin in urine","authors":"Kunj Vora ,&nbsp;Norbert Kordas ,&nbsp;Karsten Seidl","doi":"10.1016/j.sbsr.2024.100715","DOIUrl":"10.1016/j.sbsr.2024.100715","url":null,"abstract":"<div><div>This work describes the simulation, design, and fabrication of an inkjet-printed impedance biosensor for uromodulin which is a urine biomarker for kidney disease. The interdigitated electrodes (IDE) were fabricated through inkjet printing of silver ink on polyethylene terephthalate (PET) substrate and subsequently passivated with SU-8 for non-faradaic measurements. We functionalized the passivated IDE with biotin-streptavidin complex and uromodulin antibody to detect uromodulin (6.75 μg/ml-100 μg/ml). The measured impedance due to uromodulin immobilized from artificial urine samples showed a 27.4 % change in impedance magnitude per μg/ml of uromodulin at 150 Hz (log scale). The limit of detection achieved is 25 ng/ml. The sensor demonstrated specificity to uromodulin when measured against albumin, which is another protein biomarker present in the urine. These results highlight the possibility of implementing non-faradaic impedance measurements using a passivated IDE as the sensor element. It also promotes the sensor fabrication method of inkjet printing. The sensor concept shows the implementation potential of IDE as a single-use-sensor for point-of-care applications.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100715"},"PeriodicalIF":5.4,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Overcoming challenges in plasmonic biosensors deployment for clinical and biomedical applications: A systematic review and meta-analysis 克服在临床和生物医学应用中部署等离子体生物传感器所面临的挑战:系统回顾与荟萃分析
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-11-20 DOI: 10.1016/j.sbsr.2024.100717
Patricia Ramirez-Priego , Elba Mauriz , Juliana Fátima Giarola , Laura M. Lechuga
Over recent decades, plasmonic biosensors have positioned themselves as one of the most powerful analytical tools for evaluating biomolecular interactions. This impactful analytical technology has demonstrated its value in diverse fields such as clinical diagnostics, biotechnology, pharmaceutical evaluation, disease prevention, among others. Moreover, technological advances have led to the development of miniaturized plasmonic biosensing platforms, which are small and portable for point-of-care (POC) applications. This review presents an overview of recently implemented POC-plasmonic biosensors and their use for clinical and biomedical analysis. A systematic and deep literature search in PubMed, Scopus, and Web of Science databases was performed in publications between 1 January 2018 and 30 November 2023. We excluded many publications due to the absence of real application in complex matrices or insufficient analytical information. The quality of each study was evaluated methodologically by QUADAS-2, and a meta-analysis was performed using the Cochrane RevMan software. From 1177 full-text assessments, 27 research articles were selected. The pooled sensitivity was 4.36 (95%, CI 0.19–5.97, I2 = 83%). The subgroup analysis according to the plasmonic sensors type revealed the best diagnostic odds ratio with the lowest heterogeneity: 3.81 (95% CI 0.39–39.08; I2 = 33%, p = 0.22). These findings indicate that despite plasmonic biosensors taking advantage of their miniaturization and showing promising results in portable POC devices, there are still significant obstacles to using them as routine diagnostic tools. Estimating test accuracy may help to reduce the gap between controlled laboratory conditions and real-world clinical decision-making environments.
近几十年来,等离子体生物传感器已成为评估生物分子相互作用的最强大分析工具之一。这项极具影响力的分析技术已在临床诊断、生物技术、药物评估、疾病预防等多个领域证明了其价值。此外,技术的进步也促进了微型化等离子体生物传感平台的发展,这些平台体积小、便于携带,可用于护理点(POC)应用。本综述概述了最近实施的 POC 等离子体生物传感器及其在临床和生物医学分析中的应用。我们在 PubMed、Scopus 和 Web of Science 数据库中对 2018 年 1 月 1 日至 2023 年 11 月 30 日期间的出版物进行了系统而深入的文献检索。由于缺乏在复杂基质中的实际应用或分析信息不足,我们排除了许多出版物。通过 QUADAS-2 对每项研究的质量进行了方法学评估,并使用 Cochrane RevMan 软件进行了荟萃分析。从 1177 篇全文评估文章中筛选出 27 篇研究文章。汇总灵敏度为 4.36(95%,CI 0.19-5.97,I2 = 83%)。根据等离子体传感器类型进行的亚组分析显示,诊断几率比最佳,异质性最低:3.81(95% CI 0.39-39.08;I2 = 33%,P = 0.22)。这些研究结果表明,尽管等离子体生物传感器利用了其微型化的优势,并在便携式 POC 设备中显示出良好的效果,但将其用作常规诊断工具仍存在重大障碍。估计测试的准确性有助于缩小受控实验室条件与实际临床决策环境之间的差距。
{"title":"Overcoming challenges in plasmonic biosensors deployment for clinical and biomedical applications: A systematic review and meta-analysis","authors":"Patricia Ramirez-Priego ,&nbsp;Elba Mauriz ,&nbsp;Juliana Fátima Giarola ,&nbsp;Laura M. Lechuga","doi":"10.1016/j.sbsr.2024.100717","DOIUrl":"10.1016/j.sbsr.2024.100717","url":null,"abstract":"<div><div>Over recent decades, plasmonic biosensors have positioned themselves as one of the most powerful analytical tools for evaluating biomolecular interactions. This impactful analytical technology has demonstrated its value in diverse fields such as clinical diagnostics, biotechnology, pharmaceutical evaluation, disease prevention, among others. Moreover, technological advances have led to the development of miniaturized plasmonic biosensing platforms, which are small and portable for point-of-care (POC) applications. This review presents an overview of recently implemented POC-plasmonic biosensors and their use for clinical and biomedical analysis. A systematic and deep literature search in PubMed, Scopus, and Web of Science databases was performed in publications between 1 January 2018 and 30 November 2023. We excluded many publications due to the absence of real application in complex matrices or insufficient analytical information. The quality of each study was evaluated methodologically by QUADAS-2, and a meta-analysis was performed using the Cochrane RevMan software. From 1177 full-text assessments, 27 research articles were selected. The pooled sensitivity was 4.36 (95%, CI 0.19–5.97, I<sup>2</sup> = 83%). The subgroup analysis according to the plasmonic sensors type revealed the best diagnostic odds ratio with the lowest heterogeneity: 3.81 (95% CI 0.39–39.08; I<sup>2</sup> = 33%, <em>p</em> = 0.22). These findings indicate that despite plasmonic biosensors taking advantage of their miniaturization and showing promising results in portable POC devices, there are still significant obstacles to using them as routine diagnostic tools. Estimating test accuracy may help to reduce the gap between controlled laboratory conditions and real-world clinical decision-making environments.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100717"},"PeriodicalIF":5.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Embedded optofluidic biosensing platform for enzyme-linked immunosorbent assay 用于酶联免疫吸附测定的嵌入式光流体生物传感平台
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-11-19 DOI: 10.1016/j.sbsr.2024.100716
Jie Zhang, Yuyao Li, Yuan Fang, Junzhe Wang, Erhan Zhuo, Jiekai Zhuo, Xia Ouyang, Zidan Gong
With the growing demand for applications in disease diagnostics, bioanalysis, and health monitoring, developing efficient biosensing systems for fast detections and trace analysis of biomarkers is of great significance. In this work, an embedded optofluidic biosensing platform is proposed, which consists of asymmetrical core-offset optical fiber (ACOOF) structure, microfluidic chip and photoelectric detection system. In particular, by introducing the concept of optical fiber bridge, an ACOOF structure is designed to improve the optical coupling efficiency and reduce the limit of detection (LOD) of the developed sensor. On this basis, the human epidermal growth factor (EGF) was detected by constructing optofluidic chip and enzyme-linked immunosorbent assay (ELISA) kit. The LOD was 0.587 pg/mL. Leveraging the developed biosensing platform integrated with our chip, we achieved trace analysis with high specificity, as demonstrated by the measurement of interleukin 1α (IL-1α) with a low LOD of 43.3 fg/mL. Monitoring these two biomarkers is important for early cancer diagnosis. Beyond this, this novel platform has the potential for a range of applications, including disease diagnosis and management, bioanalysis, and health and environmental monitoring, with a focus on alternative biomarker targets.
随着疾病诊断、生物分析和健康监测应用需求的不断增长,开发用于快速检测和痕量分析生物标记物的高效生物传感系统具有重要意义。本研究提出了一种嵌入式光流控生物传感平台,该平台由非对称芯偏移光纤(ACOOF)结构、微流控芯片和光电检测系统组成。其中,通过引入光纤桥的概念,设计了一种 ACOOF 结构,以提高光耦合效率并降低所开发传感器的检测限(LOD)。在此基础上,通过构建光流芯片和酶联免疫吸附试验(ELISA)试剂盒检测了人表皮生长因子(EGF)。检测限为 0.587 pg/mL。利用与芯片集成的生物传感平台,我们实现了高特异性的痕量分析,白细胞介素1α(IL-1α)的检测限低至43.3 fg/mL。监测这两种生物标志物对于早期癌症诊断非常重要。除此之外,这种新型平台还具有广泛的应用潜力,包括疾病诊断和管理、生物分析以及健康和环境监测,重点是替代生物标记目标。
{"title":"Embedded optofluidic biosensing platform for enzyme-linked immunosorbent assay","authors":"Jie Zhang,&nbsp;Yuyao Li,&nbsp;Yuan Fang,&nbsp;Junzhe Wang,&nbsp;Erhan Zhuo,&nbsp;Jiekai Zhuo,&nbsp;Xia Ouyang,&nbsp;Zidan Gong","doi":"10.1016/j.sbsr.2024.100716","DOIUrl":"10.1016/j.sbsr.2024.100716","url":null,"abstract":"<div><div>With the growing demand for applications in disease diagnostics, bioanalysis, and health monitoring, developing efficient biosensing systems for fast detections and trace analysis of biomarkers is of great significance. In this work, an embedded optofluidic biosensing platform is proposed, which consists of asymmetrical core-offset optical fiber (ACOOF) structure, microfluidic chip and photoelectric detection system. In particular, by introducing the concept of optical fiber bridge, an ACOOF structure is designed to improve the optical coupling efficiency and reduce the limit of detection (LOD) of the developed sensor. On this basis, the human epidermal growth factor (EGF) was detected by constructing optofluidic chip and enzyme-linked immunosorbent assay (ELISA) kit. The LOD was 0.587 pg/mL. Leveraging the developed biosensing platform integrated with our chip, we achieved trace analysis with high specificity, as demonstrated by the measurement of interleukin 1α (IL-1α) with a low LOD of 43.3 fg/mL. Monitoring these two biomarkers is important for early cancer diagnosis. Beyond this, this novel platform has the potential for a range of applications, including disease diagnosis and management, bioanalysis, and health and environmental monitoring, with a focus on alternative biomarker targets.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100716"},"PeriodicalIF":5.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
“All-on-a-Tube” POCT of Salmonella in large-volume sample 大容量样本中沙门氏菌的 "全试管 "POCT检测
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-11-10 DOI: 10.1016/j.sbsr.2024.100712
Lei Wang, Nana Jin, Meixuan Li, Jianhan Lin
Point-of-care testing (POCT) of pathogenic bacteria at low concentrations is vital to early warning of bacterial contaminations. A disposable centrifuge tube was reconstructed in this study for sensitive Salmonella detection in large-volume samples, where the entire bacterial detection progress from separation to detection, was performed within the tube. The bottom of this centrifuge tube was assembled with a flexible stirrer containing a pair of circular magnets, which was rapidly rotated using a DC motor to produce the vortex for simultaneous mixing and capture of target bacteria. Besides, immune manganese dioxide nanoflowers were synthesized and used to label target bacteria, followed by mimicking catalyze colorless TMB substrate into blue TMBox product. The product image was captured and analyzed by a smartphone App to quantitatively determine the target bacteria. This POCT centrifuge tube effectively achieved a separation efficiency of approximately 80 % for target bacteria from a 10 mL sample, enabling the detection of target bacteria within the range of 1.3 × 101 to 1.3 × 104 CFU/mL in 1 h, with a low detection limit of 13 CFU/mL. More importantly, this reconstructed centrifuge tube demonstrated its potential as a laboratory consumable for bacterial detection in routine screening owing to the features of low cost, easy operation and high integration.
低浓度致病菌的床旁检测(POCT)对于细菌污染的早期预警至关重要。本研究重建了一个一次性离心管,用于大容量样本中沙门氏菌的灵敏检测,从分离到检测的整个细菌检测过程都在离心管内进行。该离心管底部装有一个柔性搅拌器,内含一对圆形磁铁,通过直流电机快速旋转产生涡流,从而同时混合和捕获目标细菌。此外,还合成了免疫二氧化锰纳米花,用于标记目标细菌,然后模拟催化无色 TMB 底物变成蓝色 TMBox 产物。智能手机应用程序捕捉并分析产物图像,从而定量确定目标细菌。这种 POCT 离心管能有效地从 10 mL 样品中分离出约 80% 的目标细菌,并能在 1 小时内检测出 1.3 × 101 至 1.3 × 104 CFU/mL 范围内的目标细菌,检测限低至 13 CFU/mL。更重要的是,这种重构离心管具有成本低、操作简便和集成度高的特点,证明了其作为实验室消耗品在常规筛查中进行细菌检测的潜力。
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引用次数: 0
Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction 设计基于柔性聚酰亚胺的蛇形肌电图传感器,用于人工智能建筑疲劳检测
IF 5.4 Q1 CHEMISTRY, ANALYTICAL Pub Date : 2024-11-08 DOI: 10.1016/j.sbsr.2024.100713
Yogesh Gautam, Houtan Jebelli
Physical fatigue and musculoskeletal disorders are critical health issues for construction workers, stemming from repetitive motions, heavy lifting, and awkward postures. These factors compromise worker well-being, productivity, and safety while increasing the risk of accidents and long-term health problems. Recent advancements in wearable health monitoring technology offer potential solutions, but current sensors encounter significant challenges in the dynamic construction environment. These include inadequate skin contact, increased contact impedance, and vulnerability to motion artifacts all of which degrade signal quality and reduce the accuracy of fatigue detection. This paper develops a fractal-based, flexible sensor for enhanced adaptability and accurate fatigue estimation. Finite element analysis compared five space-filling designs, with the serpentine curve exhibiting the highest contact area and lowest strain, making it the preferred choice for fabrication. Evaluations demonstrated significant improvements in signal-to-noise ratio (SNR) and motion artifact reduction, with the newly developed sensor achieving a 37 % to 59 % SNR improvement over commercial electrodes across different muscle groups. The developed flexible sensor was integrated with a fatigue-detecting framework based on a vision transformer model which provided an average accuracy of 87 % for fatigue detection. The developed sensor significantly enhances EMG signal quality and reliability, promising improved health monitoring and safety for construction workers.
身体疲劳和肌肉骨骼疾病是建筑工人面临的重要健康问题,它们源于重复性动作、重物搬运和笨拙的姿势。这些因素损害了工人的健康、生产率和安全,同时增加了事故和长期健康问题的风险。可穿戴健康监测技术的最新进展提供了潜在的解决方案,但目前的传感器在动态的建筑环境中遇到了重大挑战。这些挑战包括皮肤接触不足、接触阻抗增加以及易受运动伪影影响,所有这些都会降低信号质量并降低疲劳检测的准确性。本文开发了一种基于分形的柔性传感器,以提高适应性和疲劳估算的准确性。有限元分析比较了五种空间填充设计,其中蛇形曲线的接触面积最大,应变最小,因此成为制造的首选。评估结果表明,新开发的传感器在信噪比(SNR)和运动伪影减少方面均有显著改善,在不同肌肉群中的信噪比比商用电极提高了 37% 至 59%。开发的柔性传感器与基于视觉变压器模型的疲劳检测框架集成,疲劳检测的平均准确率达到 87%。所开发的传感器大大提高了肌电信号的质量和可靠性,有望改善建筑工人的健康监测和安全状况。
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引用次数: 0
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