Pub Date : 2026-01-12DOI: 10.1016/j.bioelechem.2026.109228
Meiting Zhao , Rui Liu , Shuang Jin , Binqiao Ren , Qiang Zhang
The integration of machine learning (ML) with advanced wearable sensor technologies is revolutionizing healthcare by enabling real-time, intelligent monitoring of physiological parameters such as electrocardiogram (ECG), blood glucose, and respiratory patterns. This review systematically examines the transformative potential of ML-driven biosensors across three core domains: health monitoring, early disease detection, and precision medicine. Key technological advancements—including self-optimizing sensor networks, explainable AI (XAI) architectures, and edge-computing-enabled miniaturized devices—are critically evaluated. Despite rapid progress, the translation of these technologies into clinical practice faces significant challenges, such as data standardization, algorithmic interpretability, privacy concerns, and regulatory hurdles. This paper also discusses emerging trends, including federated learning, quantum machine learning, and neural interfaces, which hold promise for overcoming these barriers. By addressing these challenges and leveraging ongoing interdisciplinary collaborations, ML-enhanced wearable systems are poised to redefine personalized medicine and proactive healthcare delivery on a global scale.
{"title":"From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare","authors":"Meiting Zhao , Rui Liu , Shuang Jin , Binqiao Ren , Qiang Zhang","doi":"10.1016/j.bioelechem.2026.109228","DOIUrl":"10.1016/j.bioelechem.2026.109228","url":null,"abstract":"<div><div>The integration of machine learning (ML) with advanced wearable sensor technologies is revolutionizing healthcare by enabling real-time, intelligent monitoring of physiological parameters such as electrocardiogram (ECG), blood glucose, and respiratory patterns. This review systematically examines the transformative potential of ML-driven biosensors across three core domains: health monitoring, early disease detection, and precision medicine. Key technological advancements—including self-optimizing sensor networks, explainable AI (XAI) architectures, and edge-computing-enabled miniaturized devices—are critically evaluated. Despite rapid progress, the translation of these technologies into clinical practice faces significant challenges, such as data standardization, algorithmic interpretability, privacy concerns, and regulatory hurdles. This paper also discusses emerging trends, including federated learning, quantum machine learning, and neural interfaces, which hold promise for overcoming these barriers. By addressing these challenges and leveraging ongoing interdisciplinary collaborations, ML-enhanced wearable systems are poised to redefine personalized medicine and proactive healthcare delivery on a global scale.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109228"},"PeriodicalIF":4.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-12DOI: 10.1016/j.bioelechem.2026.109227
Chunxiu Jiang , Meng Zhao , Anqing Li , Yahan Li , Pan Liu , Zhong Li , Fuhui Wang , Dake Xu
Metallic materials used in oral applications are simultaneously exposed to microbial colonization and crevices. Understanding the synergistic effects of microbiologically influenced corrosion (MIC) and crevice corrosion is essential to ensure the long-term performance and safety of dental alloys. Herein, we systematically investigated the corrosion behavior of 316L stainless steel (SS) under conditions with and without Streptococcus mutans and simulated crevices. S. mutans formed a dense biofilm on open surfaces, while looser biofilm was detected inside the crevice. Electrochemical tests, along with corrosion morphology and product analyses, demonstrated that both S. mutans and crevices independently increased the corrosion rate of 316L SS. Notably, their coexistence induced a pronounced synergistic effect, elevating the corrosion current density from 0.10 ± 0.03 μA cm−2 (sterile, no crevice) to 4.35 ± 0.20 μA cm−2. The most severe corrosion occurred inside the crevice, with a maximum pit depth of 3.7 μm after 14 days. Mott–Schottky analysis further confirmed that the combined effect of biofilm and crevice impaired the integrity of passive film. Based on these results and classical theory, we proposed an accelerated corrosion mechanism whereby the synergistic effect between biofilms and crevice critically accelerated the corrosion of 316L SS in the oral environment.
{"title":"Cariogenic Streptococcus mutans accelerates the crevice corrosion of 316L stainless steel in simulated oral environment","authors":"Chunxiu Jiang , Meng Zhao , Anqing Li , Yahan Li , Pan Liu , Zhong Li , Fuhui Wang , Dake Xu","doi":"10.1016/j.bioelechem.2026.109227","DOIUrl":"10.1016/j.bioelechem.2026.109227","url":null,"abstract":"<div><div>Metallic materials used in oral applications are simultaneously exposed to microbial colonization and crevices. Understanding the synergistic effects of microbiologically influenced corrosion (MIC) and crevice corrosion is essential to ensure the long-term performance and safety of dental alloys. Herein, we systematically investigated the corrosion behavior of 316L stainless steel (SS) under conditions with and without <em>Streptococcus mutans</em> and simulated crevices. <em>S. mutans</em> formed a dense biofilm on open surfaces, while looser biofilm was detected inside the crevice. Electrochemical tests, along with corrosion morphology and product analyses, demonstrated that both <em>S. mutans</em> and crevices independently increased the corrosion rate of 316L SS. Notably, their coexistence induced a pronounced synergistic effect, elevating the corrosion current density from 0.10 ± 0.03 μA cm<sup>−2</sup> (sterile, no crevice) to 4.35 ± 0.20 μA cm<sup>−2</sup>. The most severe corrosion occurred inside the crevice, with a maximum pit depth of 3.7 μm after 14 days. Mott–Schottky analysis further confirmed that the combined effect of biofilm and crevice impaired the integrity of passive film. Based on these results and classical theory, we proposed an accelerated corrosion mechanism whereby the synergistic effect between biofilms and crevice critically accelerated the corrosion of 316L SS in the oral environment.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109227"},"PeriodicalIF":4.5,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145974510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To address the global challenges of fossil fuel depletion and climate change, attention has turned to alternative energy sources. Photosynthetic microalgae-based microbial fuel cells (AMFC) have emerged as a promising solution, utilizing bacteria to convert organic matter into energy. This study explores the improvement of electricity generation using single-chamber microalgae-based microbial fuel cells with a modified graphite-photocatalyst air cathode. Modified graphite air cathode using graphite-photocatalyst (TiO2 and MnO2) was observed to enhance greater power production. The electricity produced by the AMFC system using a 25% TiO2-graphite mixture was the best potential air cathode, generating up to 5.56 ± 0.32 mW/m2. The higher power density is also obtained using the fabrication of a photocatalyst air cathode. The fabricated air cathode electrocatalyst can play a reasonable cost material for the enriched energy recovery in the AMFC and/or other such electrochemical devices. This study also investigates the power generation performance of algal microbial fuel cells under three electrical configurations: series, parallel, and mixed connection. Parallel connection showed the greatest power density of 23.82 ± 3.72 mW/m2 among them. However, mixed configuration provided balanced performance, with moderate voltage, current, and power density. From these results, connection type plays an important role in optimizing AMFC performance for specific applications.
{"title":"Enhanced microalgae-based microbial fuel cell performance using single-chamber photocatalyst air-cathode modification","authors":"Hnin Thandar Myint , Yuka Yokoi , Lulu'atul Hamidatu Ulya , Chairat Treesubsuntorn , Yordkhuan Tachapermpon","doi":"10.1016/j.bioelechem.2026.109215","DOIUrl":"10.1016/j.bioelechem.2026.109215","url":null,"abstract":"<div><div>To address the global challenges of fossil fuel depletion and climate change, attention has turned to alternative energy sources. Photosynthetic microalgae-based microbial fuel cells (AMFC) have emerged as a promising solution, utilizing bacteria to convert organic matter into energy. This study explores the improvement of electricity generation using single-chamber microalgae-based microbial fuel cells with a modified graphite-photocatalyst air cathode. Modified graphite air cathode using graphite-photocatalyst (TiO<sub>2</sub> and MnO<sub>2</sub>) was observed to enhance greater power production. The electricity produced by the AMFC system using a 25% TiO<sub>2</sub>-graphite mixture was the best potential air cathode, generating up to 5.56 ± 0.32 mW/m<sup>2</sup>. The higher power density is also obtained using the fabrication of a photocatalyst air cathode. The fabricated air cathode electrocatalyst can play a reasonable cost material for the enriched energy recovery in the AMFC and/or other such electrochemical devices. This study also investigates the power generation performance of algal microbial fuel cells under three electrical configurations: series, parallel, and mixed connection. Parallel connection showed the greatest power density of 23.82 ± 3.72 mW/m<sup>2</sup> among them. However, mixed configuration provided balanced performance, with moderate voltage, current, and power density. From these results, connection type plays an important role in optimizing AMFC performance for specific applications.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109215"},"PeriodicalIF":4.5,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146073981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-02DOI: 10.1016/j.bioelechem.2025.109214
Hasret Turkmen , Mustafa Şen
Neurotoxicity assessment is crucial for ensuring the safety of pharmaceuticals and chemicals while protecting public health by identifying hazardous substances. Here, a simple and innovative electrochemical neurotoxicity assay was presented using a screen-printed carbon electrode (SPCE) integrated petri dish platform. This system serves as a rapid, quantitative, and time-resolved alternative to standard neurotoxicity assays such as the MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) test and is particularly suited for drug development studies. Briefly, the surface of SPCEs were modified with poly-l-lysine (PLL) to enhance both the electrochemical signal and the adherence of human neuroblastoma (SH-SY5Y) cells. Electrochemical measurements were taken in 0.5 mM [Fe(CN)6]3−/4− whose non-toxic effect was confirmed, and a good relationship was observed between electrochemical signal and cell viability. The electrochemical platform was then successfully tested to assess the toxic effects of H2O2 and doxorubicin. These findings demonstrate the platform's potential for routine electrochemical neurotoxicity evaluation and emphasize the feasibility of using a cell-based analytical system for toxicity screening applications.
神经毒性评估对于确保药品和化学品的安全,同时通过识别有害物质保护公众健康至关重要。本文采用丝网印刷碳电极(SPCE)集成培养皿平台,提出了一种简单而创新的电化学神经毒性检测方法。该系统可作为标准神经毒性测定(如MTT测定(3-(4,5-二甲基噻唑-2-基)-2,5-二苯基溴化四唑)试验的快速、定量和时间分辨替代方法,特别适用于药物开发研究。简单地说,用聚赖氨酸(PLL)修饰SPCEs表面,增强了人神经母细胞瘤(SH-SY5Y)细胞的电化学信号和粘附性。在0.5 mM [Fe(CN)6]3−/4−中进行了电化学测量,证实了其无毒作用,并观察到电化学信号与细胞活力之间存在良好的关系。然后成功地测试了电化学平台,以评估H2O2和阿霉素的毒性作用。这些发现证明了该平台在常规电化学神经毒性评估方面的潜力,并强调了使用基于细胞的分析系统进行毒性筛选应用的可行性。
{"title":"Time-resolved, label-free electrochemical monitoring of neurotoxicity via differential pulse voltammetry","authors":"Hasret Turkmen , Mustafa Şen","doi":"10.1016/j.bioelechem.2025.109214","DOIUrl":"10.1016/j.bioelechem.2025.109214","url":null,"abstract":"<div><div>Neurotoxicity assessment is crucial for ensuring the safety of pharmaceuticals and chemicals while protecting public health by identifying hazardous substances. Here, a simple and innovative electrochemical neurotoxicity assay was presented using a screen-printed carbon electrode (SPCE) integrated petri dish platform. This system serves as a rapid, quantitative, and time-resolved alternative to standard neurotoxicity assays such as the MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) test and is particularly suited for drug development studies. Briefly, the surface of SPCEs were modified with poly-<span>l</span>-lysine (PLL) to enhance both the electrochemical signal and the adherence of human neuroblastoma (SH-SY5Y) cells. Electrochemical measurements were taken in 0.5 mM [Fe(CN)<sub>6</sub>]<sup>3−/4−</sup> whose non-toxic effect was confirmed, and a good relationship was observed between electrochemical signal and cell viability. The electrochemical platform was then successfully tested to assess the toxic effects of H<sub>2</sub>O<sub>2</sub> and doxorubicin. These findings demonstrate the platform's potential for routine electrochemical neurotoxicity evaluation and emphasize the feasibility of using a cell-based analytical system for toxicity screening applications.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109214"},"PeriodicalIF":4.5,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pseudomonas aeruginosa is a major pathogen responsible for severe infections, particularly in immunocompromised patients and those with chronic conditions. Its increasing resistance to antibiotics underscores the urgent need for effective detection systems. This study introduces a novel biosensor based on bacteriophage (M-PAP1) in combination with MWCNT-COOH modified SPE and its application for the sensitive identification of Pseudomonas aeruginosa. The phage provides high specificity and strong target binding, while the combined ECL and EIS modes offer complementary signal outputs, enhancing analytical reliability and reducing false responses. The ECL sensor achieved LoD of 0.755 CFU ml−1and demonstrated a broad linear working range of 2.28 to 1010 CFU ml−1 (R2: 0.9981). In artificial urine samples, the sensor demonstrated a recovery rate of 92% to 97%, indicating its effectiveness in real biological matrices. The dual functionality for both ECL and EIS measurements highlights the system's versatility and potential for real-time clinical applications. The system also exhibited exceptional selectivity and minimal interference from non-specific bacteria such as Escherichia coli and Pseudomonas putida and Pseudomonas fluorescens. Overall, the dual-mode strategy significantly strengthens diagnostic accuracy by enabling cross-validated detection signals, offering a robust platform for rapid monitoring of P. aeruginosa in the context of rising antimicrobial resistance.
铜绿假单胞菌是造成严重感染的主要病原体,特别是在免疫功能低下患者和慢性病患者中。它对抗生素的耐药性日益增加,这突出表明迫切需要有效的检测系统。本研究介绍了一种基于噬菌体(M-PAP1)结合MWCNT-COOH修饰的SPE的新型生物传感器及其在铜绿假单胞菌敏感鉴定中的应用。噬菌体具有高特异性和强靶标结合性,而ECL和EIS结合模式提供互补的信号输出,提高了分析可靠性,减少了错误反应。ECL传感器的LoD为0.755 CFU ml - 1,线性工作范围为2.28至1010 CFU ml - 1 (R2: 0.9981)。在人工尿液样本中,该传感器的回收率为92%至97%,表明其在真实生物基质中的有效性。ECL和EIS测量的双重功能突出了系统的多功能性和实时临床应用的潜力。该系统还表现出卓越的选择性和最小的干扰非特异性细菌,如大肠杆菌、恶臭假单胞菌和荧光假单胞菌。总体而言,双模式策略通过启用交叉验证的检测信号显着增强了诊断准确性,为在抗菌素耐药性上升的背景下快速监测铜绿假单胞菌提供了一个强大的平台。
{"title":"Phage-based dual-mode sensor using ECL and EIS for sensitive detection of Pseudomonas Aeruginosa","authors":"Maryam Allahyari , Emre Dokuzparmak , Arzum Erdem , Alper AKKAYA , Bahattin Tanyolac","doi":"10.1016/j.bioelechem.2025.109212","DOIUrl":"10.1016/j.bioelechem.2025.109212","url":null,"abstract":"<div><div><em>Pseudomonas aeruginosa</em> is a major pathogen responsible for severe infections, particularly in immunocompromised patients and those with chronic conditions. Its increasing resistance to antibiotics underscores the urgent need for effective detection systems. This study introduces a novel biosensor based on bacteriophage (M-PAP1) in combination with MWCNT-COOH modified SPE and its application for the sensitive identification of <em>Pseudomonas aeruginosa</em>. The phage provides high specificity and strong target binding, while the combined ECL and EIS modes offer complementary signal outputs, enhancing analytical reliability and reducing false responses. The ECL sensor achieved LoD of 0.755 CFU ml<sup>−1</sup>and demonstrated a broad linear working range of 2.28 to 10<sup>10</sup> CFU ml<sup>−1</sup> (R<sup>2</sup>: 0.9981). In artificial urine samples, the sensor demonstrated a recovery rate of 92% to 97%, indicating its effectiveness in real biological matrices. The dual functionality for both ECL and EIS measurements highlights the system's versatility and potential for real-time clinical applications. The system also exhibited exceptional selectivity and minimal interference from non-specific bacteria such as <em>Escherichia coli</em> and <em>Pseudomonas putida</em> and <em>Pseudomonas fluorescens.</em> Overall, the dual-mode strategy significantly strengthens diagnostic accuracy by enabling cross-validated detection signals, offering a robust platform for rapid monitoring of <em>P. aeruginosa</em> in the context of rising antimicrobial resistance.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"169 ","pages":"Article 109212"},"PeriodicalIF":4.5,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ovarian cancer has always posed a challenge to the healthcare industry due to a lack of early diagnosis methods, attributed to the absence of identifiable symptoms, thereby earning it the name “silent killer”. Even though the traditional diagnostic methods provide some diagnostic capabilities, they still face several bottlenecks, highlighting the need to develop a robust, sensitive and accurate biosensor, specific to ovarian cancer biomarkers. In this study, an electrochemical platform with the microfluidic method of sample introduction was analyzed to detect cancer antigen 125 (CA125), a prominent biomarker in ovarian cancer patients. The platform was decorated with alkylamine-functionalized graphene sheets (AfGSs) and antibody aligner to act as bio-conjugation and signal-enhancing agents. Thorough structural and functionalization characterizations of the nanomaterial and sensing platform were performed. The study presents a detailed comparison of the performance of both static (drop-cast) and microfluidic sensing platforms for CA125 biomarker concentrations in the 0.0001–1000 U/mL range, with a Limit of Detection (LoD) of 6.17 μU/mL for microfluidic systems and 2.67 μU/mL for static systems.
{"title":"Examination of influence of microfluidic flow and antibody orientation on biosensor performance: A case study with CA125 electrochemical biosensor","authors":"Neelam Vishwakarma , Shubham Kumar Patial , Mayank Garg , Suman Singh","doi":"10.1016/j.bioelechem.2025.109213","DOIUrl":"10.1016/j.bioelechem.2025.109213","url":null,"abstract":"<div><div>Ovarian cancer has always posed a challenge to the healthcare industry due to a lack of early diagnosis methods, attributed to the absence of identifiable symptoms, thereby earning it the name “silent killer”. Even though the traditional diagnostic methods provide some diagnostic capabilities, they still face several bottlenecks, highlighting the need to develop a robust, sensitive and accurate biosensor, specific to ovarian cancer biomarkers. In this study, an electrochemical platform with the microfluidic method of sample introduction was analyzed to detect cancer antigen 125 (CA125), a prominent biomarker in ovarian cancer patients. The platform was decorated with alkylamine-functionalized graphene sheets (A<sub>f</sub>GSs) and antibody aligner to act as bio-conjugation and signal-enhancing agents. Thorough structural and functionalization characterizations of the nanomaterial and sensing platform were performed. The study presents a detailed comparison of the performance of both static (drop-cast) and microfluidic sensing platforms for CA125 biomarker concentrations in the 0.0001–1000 U/mL range, with a Limit of Detection (LoD) of 6.17 μU/mL for microfluidic systems and 2.67 μU/mL for static systems.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109213"},"PeriodicalIF":4.5,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145897939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-29DOI: 10.1016/j.bioelechem.2025.109208
Adrijana Savevska , Yuanyuan Guo
Advanced healthcare and biomedical research require innovative approaches in the design and integration of materials for next-generation implantable biomedical devices. Recently, thermally drawn multimaterial and multifunctional fibers have been developed, which have significantly advanced biomedical implants with multifunctionality, miniaturization, and mechanical compliance with biological tissue. However, advances in their capabilities, particularly in vivo electrochemical sensing and modulation, remain limited. This review aims to bridge the gap between electrochemical sensing, thermally drawn fiber technology, and neurochemical monitoring and modulation. Recent advances in fiber-based electrochemical sensors are highlighted, with a focus on material selection, surface modification methods, and detection techniques. Despite significant progress in this interdisciplinary field, challenges persist in ensuring the long-term stability, biocompatibility, and scalability of these sensors within complex physiological environments such as the brain. In addition to mentioning the current limitations, we emphasize the potential of fiber probes to elevate fundamental life-science research and clinical diagnostics to a new level.
{"title":"Critical perspectives on thermally-drawn multimaterial and multifunctional fiber-based neural interface for neurochemical sensing and modulation","authors":"Adrijana Savevska , Yuanyuan Guo","doi":"10.1016/j.bioelechem.2025.109208","DOIUrl":"10.1016/j.bioelechem.2025.109208","url":null,"abstract":"<div><div>Advanced healthcare and biomedical research require innovative approaches in the design and integration of materials for next-generation implantable biomedical devices. Recently, thermally drawn multimaterial and multifunctional fibers have been developed, which have significantly advanced biomedical implants with multifunctionality, miniaturization, and mechanical compliance with biological tissue. However, advances in their capabilities, particularly <em>in vivo</em> electrochemical sensing and modulation, remain limited. This review aims to bridge the gap between electrochemical sensing, thermally drawn fiber technology, and neurochemical monitoring and modulation. Recent advances in fiber-based electrochemical sensors are highlighted, with a focus on material selection, surface modification methods, and detection techniques. Despite significant progress in this interdisciplinary field, challenges persist in ensuring the long-term stability, biocompatibility, and scalability of these sensors within complex physiological environments such as the brain. In addition to mentioning the current limitations, we emphasize the potential of fiber probes to elevate fundamental life-science research and clinical diagnostics to a new level.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"170 ","pages":"Article 109208"},"PeriodicalIF":4.5,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-24DOI: 10.1016/j.bioelechem.2025.109206
Zhide Zhou , Haimei Li , Xiaohua Deng , Yuxuan Shi , Jiahang Huang , Yu Zhou , Xiaohong Tan , Jintao Liang , Guiyin Li
Cardiovascular disease (CVD) is the leading cause of death worldwide, particularly in the developing countries. Low-density lipoprotein (LDL), a critical biomarker for the early detection and intervention of CVD, provides valuable diagnostic and prognostic information for CVD. Herein, we developed a dual-signal electrochemical aptasensor for LDL detection based on a peroxidase-like nanozyme composed of reduced graphene oxide@molybdenum disulfide-ferrocenecarboxylic acid (rGO@MoS2-Fc). In the process of electrochemical testing, rGO@MoS2-Fc achieved the synergistic amplification of electrochemical signals both an enhanced Fc oxidation current detected by differential pulse voltammetry (DPV), and an increased hydrogen peroxide (H2O2) decomposition current via amperometric current-time (i-t) analysis. The DPV signal, corresponding to Fc oxidation, exhibited a logarithmic linear response over a broad LDL concentration ranged from 0.001 to 100.0 μg/mL, with a limit of detection (LOD) as low as 0.91 ng/mL. Meanwhile, the i-t signal, arising from H2O2 decomposition, displayed a linear range of 1.0 to 80.0 μg/mL and an LOD of 0.80 μg/mL. This dual-signal strategy exhibited good selectivity, reproducibility, stability and self-calibration capability. Analysis of human serum samples showed that the proposed strategy is expected to be a powerful method for early-stage CVD diagnosis and clinical management.
{"title":"A dual-signal electrochemical aptasensor based on rGO@MoS2-Fc nanozyme for sensitive detection of low-density lipoprotein","authors":"Zhide Zhou , Haimei Li , Xiaohua Deng , Yuxuan Shi , Jiahang Huang , Yu Zhou , Xiaohong Tan , Jintao Liang , Guiyin Li","doi":"10.1016/j.bioelechem.2025.109206","DOIUrl":"10.1016/j.bioelechem.2025.109206","url":null,"abstract":"<div><div>Cardiovascular disease (CVD) is the leading cause of death worldwide, particularly in the developing countries. Low-density lipoprotein (LDL), a critical biomarker for the early detection and intervention of CVD, provides valuable diagnostic and prognostic information for CVD. Herein, we developed a dual-signal electrochemical aptasensor for LDL detection based on a peroxidase-like nanozyme composed of reduced graphene oxide@molybdenum disulfide-ferrocenecarboxylic acid (rGO@MoS<sub>2</sub>-Fc). In the process of electrochemical testing, rGO@MoS<sub>2</sub>-Fc achieved the synergistic amplification of electrochemical signals both an enhanced Fc oxidation current detected by differential pulse voltammetry (DPV), and an increased hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) decomposition current via amperometric current-time (i-t) analysis. The DPV signal, corresponding to Fc oxidation, exhibited a logarithmic linear response over a broad LDL concentration ranged from 0.001 to 100.0 μg/mL, with a limit of detection (LOD) as low as 0.91 ng/mL. Meanwhile, the i-t signal, arising from H<sub>2</sub>O<sub>2</sub> decomposition, displayed a linear range of 1.0 to 80.0 μg/mL and an LOD of 0.80 μg/mL. This dual-signal strategy exhibited good selectivity, reproducibility, stability and self-calibration capability. Analysis of human serum samples showed that the proposed strategy is expected to be a powerful method for early-stage CVD diagnosis and clinical management.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"169 ","pages":"Article 109206"},"PeriodicalIF":4.5,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-24DOI: 10.1016/j.bioelechem.2025.109210
Raqba Raqba , Azka Azfreen , Warda Imran , Muhammad Usman , Naeem Ali
Monitoring water quality is crucial for ecosystem preservation and public health in Pakistan, where agricultural/chemical contamination is diminishing clean water resources. This research aimed to develop long-term, reusable, and cost-effective MFC-based biosensors for monitoring BOD and toxicity in paraquat, pesticide-contaminated wastewater. Two double-chamber MFCs were fabricated with a 250 mL working volume, a Nafion membrane, and carbon felt electrodes, inoculated with pesticide-contaminated soil (PMFC) and pesticide-contaminated soil plus anaerobic sludge (PSMFC). Both biosensors reached a voltage of 400 ± 10 mV after 48 h, which was enhanced to 600 ± 25 mV with a 200 mV solar input during the enrichment phase. During stable power generation, PMFC and PSMFC achieved current outputs of 0.024 mA and 0.014 mA, respectively, and power densities of 225.49 mWm−2 and 50.06 mWm−2. PMFC (R2 0.9343) showed a stronger linear correlation between BOD levels (10–70 mgL−1) and voltage than PSMFC (R2 0.7673). Voltage initially increased at paraquat concentrations of 1–10 mgL−1 but decreased at 50–100 mgL−1 due to biofilm inhibition. BOD measurements by PMFC closely matched conventional BOD₅ results, with a mean relative error of 7.03 %, highlighting its superior sensing performance with a 40-min response time during real-time monitoring.
{"title":"MFC-based biosensors for real-time monitoring BOD and Toxicity in paraquat and pesticide-contaminated wastewater","authors":"Raqba Raqba , Azka Azfreen , Warda Imran , Muhammad Usman , Naeem Ali","doi":"10.1016/j.bioelechem.2025.109210","DOIUrl":"10.1016/j.bioelechem.2025.109210","url":null,"abstract":"<div><div>Monitoring water quality is crucial for ecosystem preservation and public health in Pakistan, where agricultural/chemical contamination is diminishing clean water resources. This research aimed to develop long-term, reusable, and cost-effective MFC-based biosensors for monitoring BOD and toxicity in paraquat, pesticide-contaminated wastewater. Two double-chamber MFCs were fabricated with a 250 mL working volume, a Nafion membrane, and carbon felt electrodes, inoculated with pesticide-contaminated soil (PMFC) and pesticide-contaminated soil plus anaerobic sludge (PSMFC). Both biosensors reached a voltage of 400 ± 10 mV after 48 h, which was enhanced to 600 ± 25 mV with a 200 mV solar input during the enrichment phase. During stable power generation, PMFC and PSMFC achieved current outputs of 0.024 mA and 0.014 mA, respectively, and power densities of 225.49 mWm<sup>−2</sup> and 50.06 mWm<sup>−2</sup>. PMFC (R<sup>2</sup> 0.9343) showed a stronger linear correlation between BOD levels (10–70 mgL<sup>−1</sup>) and voltage than PSMFC (R<sup>2</sup> 0.7673). Voltage initially increased at paraquat concentrations of 1–10 mgL<sup>−1</sup> but decreased at 50–100 mgL<sup>−1</sup> due to biofilm inhibition. BOD measurements by PMFC closely matched conventional BOD₅ results, with a mean relative error of 7.03 %, highlighting its superior sensing performance with a 40-min response time during real-time monitoring.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"169 ","pages":"Article 109210"},"PeriodicalIF":4.5,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-23DOI: 10.1016/j.bioelechem.2025.109211
Tukendra Kumar, Satya Eswari Jujjavarapu
Detection of ciprofloxacin (CIP) is crucial due to its persistence and frequent occurrence in water bodies. An algal microbial fuel cell (MFC) integrated with an electrospun carbon nanotube–polyaniline–zinc oxide (CNT–PANI–ZnO) nanofiber electrode was developed for simultaneous renewable energy generation and CIP detection. The electrode enhanced electron transfer efficiency, enabling sensitive monitoring of voltage changes during CIP analysis. The electrode properties were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), ultraviolet–visible (UV–Vis) spectroscopy, zeta potential, and contact angle analyses. Bio-electrochemical performance was assessed using linear sweep voltammetry (LSV), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The algal MFC achieved a maximum power density of 27.57 ± 0.95 mW m−3 at a current density of 46.73 ± 0.57 mA m−2 with an internal resistance of 22 Ω. CIP was detected with a minimum limit of 0.5 μg L−1 and a sensitivity of 0.1568 mV (μg L−1)−1 under stable voltage conditions. The system exhibited reusability over three operational cycles. These findings demonstrate the potential of CNT–PANI–ZnO-based algal MFCs as eco-friendly platforms for sustainable energy conversion and real-time contaminant sensing.
环丙沙星(CIP)在水体中具有持久性和高发性,对其检测具有重要意义。采用电纺丝碳纳米管-聚苯胺-氧化锌(CNT-PANI-ZnO)纳米纤维电极,研制了一种藻类微生物燃料电池(MFC),用于同步可再生能源发电和CIP检测。该电极提高了电子传递效率,能够在CIP分析过程中灵敏地监测电压变化。采用扫描电镜(SEM)、透射电镜(TEM)、x射线光电子能谱(XPS)、x射线衍射(XRD)、傅里叶变换红外光谱(FTIR)、紫外-可见(UV-Vis)光谱、zeta电位和接触角分析对电极性能进行了表征。采用线性扫描伏安法(LSV)、循环伏安法(CV)和电化学阻抗谱法(EIS)评价生物电化学性能。在电流密度为46.73±0.57 mA m−2,内阻为22 Ω的条件下,藻MFC的最大功率密度为27.57±0.95 mW m−3。在稳定电压条件下,CIP的检测下限为0.5 μg L−1,灵敏度为0.1568 mV (μg L−1)−1。该系统在三个操作周期内表现出可重用性。这些发现证明了基于cnt - pani - zno的藻类mfc作为可持续能源转换和实时污染物传感的环保平台的潜力。
{"title":"Smart nanostructured electrodes integrated with microbial fuel cells for wastewater-to-energy conversion and on-site detection of antibiotic in real wastewater","authors":"Tukendra Kumar, Satya Eswari Jujjavarapu","doi":"10.1016/j.bioelechem.2025.109211","DOIUrl":"10.1016/j.bioelechem.2025.109211","url":null,"abstract":"<div><div>Detection of ciprofloxacin (CIP) is crucial due to its persistence and frequent occurrence in water bodies. An algal microbial fuel cell (MFC) integrated with an electrospun carbon nanotube–polyaniline–zinc oxide (CNT–PANI–ZnO) nanofiber electrode was developed for simultaneous renewable energy generation and CIP detection. The electrode enhanced electron transfer efficiency, enabling sensitive monitoring of voltage changes during CIP analysis. The electrode properties were characterized using scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), ultraviolet–visible (UV–Vis) spectroscopy, zeta potential, and contact angle analyses. Bio-electrochemical performance was assessed using linear sweep voltammetry (LSV), cyclic voltammetry (CV), and electrochemical impedance spectroscopy (EIS). The algal MFC achieved a maximum power density of 27.57 ± 0.95 mW m<sup>−3</sup> at a current density of 46.73 ± 0.57 mA m<sup>−2</sup> with an internal resistance of 22 Ω. CIP was detected with a minimum limit of 0.5 μg L<sup>−1</sup> and a sensitivity of 0.1568 mV (μg L<sup>−1</sup>)<sup>−1</sup> under stable voltage conditions. The system exhibited reusability over three operational cycles. These findings demonstrate the potential of CNT–PANI–ZnO-based algal MFCs as eco-friendly platforms for sustainable energy conversion and real-time contaminant sensing.</div></div>","PeriodicalId":252,"journal":{"name":"Bioelectrochemistry","volume":"169 ","pages":"Article 109211"},"PeriodicalIF":4.5,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145836793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}