Pub Date : 2025-02-01DOI: 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 , Eva C. Wentink , Vera D.M. Verbiest , David T. Young , Maria T.E. Hopman , 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}
Pub Date : 2025-02-01DOI: 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 , 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}
Pub Date : 2025-02-01DOI: 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 , Sarah Albogami , Bijay Pattnaik , Iqbal Azmi , Syed Mansoor Ali , Kapil Dev , Anant Mohan , Jawed Iqbal , Amit Sharma , 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}
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 , Graziele Cruzado , Edward Harvey , 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}
Pub Date : 2024-12-01DOI: 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}
Pub Date : 2024-12-01DOI: 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.
{"title":"Fabrication and characterization of inkjet-printed interdigitated electrodes for non-faradaic electrochemical detection of uromodulin in urine","authors":"Kunj Vora , Norbert Kordas , 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}
Pub Date : 2024-11-20DOI: 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.
{"title":"Overcoming challenges in plasmonic biosensors deployment for clinical and biomedical applications: A systematic review and meta-analysis","authors":"Patricia Ramirez-Priego , Elba Mauriz , Juliana Fátima Giarola , 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}
Pub Date : 2024-11-19DOI: 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.
{"title":"Embedded optofluidic biosensing platform for enzyme-linked immunosorbent assay","authors":"Jie Zhang, Yuyao Li, Yuan Fang, Junzhe Wang, Erhan Zhuo, Jiekai Zhuo, Xia Ouyang, 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}
Pub Date : 2024-11-10DOI: 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.
{"title":"“All-on-a-Tube” POCT of Salmonella in large-volume sample","authors":"Lei Wang, Nana Jin, Meixuan Li, Jianhan Lin","doi":"10.1016/j.sbsr.2024.100712","DOIUrl":"10.1016/j.sbsr.2024.100712","url":null,"abstract":"<div><div>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 <em>Salmonella</em> 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 × 10<sup>1</sup> to 1.3 × 10<sup>4</sup> 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.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100712"},"PeriodicalIF":5.4,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662366","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}
Pub Date : 2024-11-08DOI: 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.
{"title":"Design of flexible polyimide-based serpentine EMG sensor for AI-enabled fatigue detection in construction","authors":"Yogesh Gautam, Houtan Jebelli","doi":"10.1016/j.sbsr.2024.100713","DOIUrl":"10.1016/j.sbsr.2024.100713","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"46 ","pages":"Article 100713"},"PeriodicalIF":5.4,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142662368","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}