Pub Date : 2026-02-01Epub Date: 2025-12-04DOI: 10.1016/j.sbsr.2025.100936
Teruyoshi Sasayama , Shuji Taue , Takashi Yoshida
Biofunctionalized magnetic nanoparticles (MNPs) have been widely studied for biomedical applications, including magnetic particle imaging (MPI), which is a promising diagnostic technique for cancer imaging. Because MNPs generate weak magnetic fields, highly sensitive magnetic sensors, such as optically pumped magnetometers (OPMs), are required. In our previous study, we developed an MPI scanner using an OPM and a flux transformer consisting of input and pickup coils. For rapid and accurate MNP position estimation, it is desirable to measure the magnetic field using an OPM array. OPMs that measure magnetic fields along more than two axes are commercially available. However, OPMs are expensive and difficult to array. Therefore, we propose a method for multipoint measurements using a single OPM and multiple flux transformers. In an experiment, the MNPs were magnetized using an AC magnetic field, and the resulting magnetic signals were detected using two parallel differential-type pickup coils. The detected signals were converted into magnetic fields using orthogonal input coils and measured using a dual-axis OPM. Magnetic images were obtained by scanning a diluted Resovist MNP sample with a motorized stage. The signals from each pickup coil were measured independently and simultaneously, confirming the feasibility of multipoint measurements using a single multi-axis OPM.
{"title":"Magnetic particle imaging using a multi-axis optically pumped magnetometer and multiple flux transformers","authors":"Teruyoshi Sasayama , Shuji Taue , Takashi Yoshida","doi":"10.1016/j.sbsr.2025.100936","DOIUrl":"10.1016/j.sbsr.2025.100936","url":null,"abstract":"<div><div>Biofunctionalized magnetic nanoparticles (MNPs) have been widely studied for biomedical applications, including magnetic particle imaging (MPI), which is a promising diagnostic technique for cancer imaging. Because MNPs generate weak magnetic fields, highly sensitive magnetic sensors, such as optically pumped magnetometers (OPMs), are required. In our previous study, we developed an MPI scanner using an OPM and a flux transformer consisting of input and pickup coils. For rapid and accurate MNP position estimation, it is desirable to measure the magnetic field using an OPM array. OPMs that measure magnetic fields along more than two axes are commercially available. However, OPMs are expensive and difficult to array. Therefore, we propose a method for multipoint measurements using a single OPM and multiple flux transformers. In an experiment, the MNPs were magnetized using an AC magnetic field, and the resulting magnetic signals were detected using two parallel differential-type pickup coils. The detected signals were converted into magnetic fields using orthogonal input coils and measured using a dual-axis OPM. Magnetic images were obtained by scanning a diluted Resovist MNP sample with a motorized stage. The signals from each pickup coil were measured independently and simultaneously, confirming the feasibility of multipoint measurements using a single multi-axis OPM.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100936"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145692330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anemia is associated with impaired hemoglobin (Hb) concentrations, resulting from the kidneys not producing enough erythropoietin, which leads to a decrease in red blood cells. Hemoglobin (Hb) detection is thus vital for diagnosing anemia, preventing complications, monitoring treatment efficacy, improving quality of life, and reducing morbidity rates. An electrochemical sensor based on the nickel‑cobalt bis tungstate-Cu (Ni2Co(WO4)2-Cu) nanocomposite is developed using the self-combustion method to detect Hb in the blood of anemic patients. The fabricated nanocomposite is characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet-visible spectroscopy (UV–Vis), and Fourier transform infrared spectroscopy (FTIR). Sensing parameters, including scan rate, pH, concentration, and interference, are optimized. The linearity and detection limits for Ni2Co(WO4)2-Cu coated onto a glassy carbon electrode (GCE) are 10–70 μM and 0.2 μM, respectively. The Hb recovery from real samples is 80–89%. The sensor stability is evaluated by 100 cyclic voltammetry (CV) cycles. Ni2Co(WO4)2-Cu/GCE can efficiently monitor hemoglobin (Hb) levels in the blood of patients with chronic kidney disease (CKD). Pearson and Spearman correlation tests are used to examine the relationship between Hb and the estimated glomerular filtration rate (eGFR). This analysis reveals that Hb levels are linked to eGFR in CKD. Hb and eGFR levels in blood can thus be used as predictive biomarkers of CKD before the development of end-stage renal failure. Ni2Co(WO4)2-Cu/GCE electrochemical sensor can be used in point-of-care devices and has potential applications in clinical diagnosis.
贫血与血红蛋白(Hb)浓度受损有关,由于肾脏不能产生足够的促红细胞生成素,从而导致红细胞减少。因此,血红蛋白(Hb)检测对于诊断贫血、预防并发症、监测治疗效果、提高生活质量和降低发病率至关重要。研制了一种基于镍钴铋钨酸- cu (Ni2Co(WO4)2-Cu)纳米复合材料的电化学传感器,利用自燃法检测贫血患者血液中的Hb。采用x射线衍射(XRD)、扫描电子显微镜(SEM)、紫外可见光谱(UV-Vis)和傅里叶变换红外光谱(FTIR)对制备的纳米复合材料进行了表征。传感参数,包括扫描速率,pH值,浓度和干扰,进行了优化。在玻碳电极(GCE)上涂覆Ni2Co(WO4)2-Cu的线性范围为10 ~ 70 μM,检出限为0.2 μM。实际样品的Hb回收率为80-89%。通过100次循环伏安法(CV)来评价传感器的稳定性。Ni2Co(WO4)2-Cu/GCE可有效监测慢性肾病(CKD)患者血液中血红蛋白(Hb)水平。Pearson和Spearman相关试验用于检验Hb和估计肾小球滤过率(eGFR)之间的关系。该分析揭示了慢性肾病中Hb水平与eGFR相关。因此,血液中Hb和eGFR水平可以作为终末期肾衰竭发展前CKD的预测性生物标志物。Ni2Co(WO4)2-Cu/GCE电化学传感器可用于医疗点设备,在临床诊断中具有潜在的应用前景。
{"title":"Enhanced electrochemical detection of hemoglobin in chronic kidney disease (CKD) anemic patients' serum by Ni2Co(WO4)2 enriched copper nanocomposite","authors":"Kiran Batool , Faiqa Gull , Dilshad Hussain , Sana Shaheen , Fatima Hassan , Rubaida Mahmood , Muhammad Najam-ul-Haq , Batool Fatima","doi":"10.1016/j.sbsr.2025.100847","DOIUrl":"10.1016/j.sbsr.2025.100847","url":null,"abstract":"<div><div>Anemia is associated with impaired hemoglobin (Hb) concentrations, resulting from the kidneys not producing enough erythropoietin, which leads to a decrease in red blood cells. Hemoglobin (Hb) detection is thus vital for diagnosing anemia, preventing complications, monitoring treatment efficacy, improving quality of life, and reducing morbidity rates. An electrochemical sensor based on the nickel‑cobalt bis tungstate-Cu (Ni<sub>2</sub>Co(WO<sub>4</sub>)<sub>2</sub>-Cu) nanocomposite is developed using the self-combustion method to detect Hb in the blood of anemic patients. The fabricated nanocomposite is characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet-visible spectroscopy (UV–Vis), and Fourier transform infrared spectroscopy (FTIR). Sensing parameters, including scan rate, pH, concentration, and interference, are optimized. The linearity and detection limits for Ni<sub>2</sub>Co(WO<sub>4</sub>)<sub>2</sub>-Cu coated onto a glassy carbon electrode (GCE) are 10–70 μM and 0.2 μM, respectively. The Hb recovery from real samples is 80–89%. The sensor stability is evaluated by 100 cyclic voltammetry (CV) cycles. Ni<sub>2</sub>Co(WO<sub>4</sub>)<sub>2</sub>-Cu/GCE can efficiently monitor hemoglobin (Hb) levels in the blood of patients with chronic kidney disease (CKD). Pearson and Spearman correlation tests are used to examine the relationship between Hb and the estimated glomerular filtration rate (eGFR). This analysis reveals that Hb levels are linked to eGFR in CKD. Hb and eGFR levels in blood can thus be used as predictive biomarkers of CKD before the development of end-stage renal failure. Ni<sub>2</sub>Co(WO<sub>4</sub>)<sub>2</sub>-Cu/GCE electrochemical sensor can be used in point-of-care devices and has potential applications in clinical diagnosis.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100847"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147419793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-02-11DOI: 10.1016/j.sbsr.2026.100977
E. Jegalakshmi , M. Rameshbabu , Manikandan Ayyar , S. Sasi Florence , D. Shanmugapriya , V. Mohanavel , P. Sagayaraj , Mani Govindasamy , S. Muthupandi , K. Prabha , R. Balachandran
Excessive utilization of antimicrobial agents in agricultural practices and food production results in detrimental impacts on both human wellness and environmental systems. Electrochemical detection devices serve as crucial instruments for monitoring the concentrations of these antimicrobial compounds. This research presents the fabrication of pristine and cerium-modified tin oxide nanomaterials using a straightforward co-precipitation technique for electrochemical detection purposes. The morphological and crystalline characteristics of the synthesized materials were investigated using XRD, SEM, XPS and FTIR. Among the tested compositions, tin oxide nanomaterials containing 1% cerium dopant demonstrated superior detection capabilities when compared to undoped samples and those containing 3% and 5% cerium concentrations, making it the optimal choice for cyclic voltammetry and differential pulse voltammetry investigations conducted in acidic conditions (pH 2). Furthermore, the cerium-modified tin oxide detection system exhibited excellent reproducibility, long-term stability, consistent performance, and resistance to interfering substances. Practical validation was performed using authentic biological samples including human serum, honey, and poultry tissue extracts. The cerium-enhanced tin oxide sensing platform represents an economical, user-friendly, and highly sensitive solution for antimicrobial detection, contributing significantly to advancements in sensor technology development.
{"title":"Cerium-doped SnO₂ nanoparticles as an efficient electrochemical sensor for furazolidone detection in food and biological samples","authors":"E. Jegalakshmi , M. Rameshbabu , Manikandan Ayyar , S. Sasi Florence , D. Shanmugapriya , V. Mohanavel , P. Sagayaraj , Mani Govindasamy , S. Muthupandi , K. Prabha , R. Balachandran","doi":"10.1016/j.sbsr.2026.100977","DOIUrl":"10.1016/j.sbsr.2026.100977","url":null,"abstract":"<div><div>Excessive utilization of antimicrobial agents in agricultural practices and food production results in detrimental impacts on both human wellness and environmental systems. Electrochemical detection devices serve as crucial instruments for monitoring the concentrations of these antimicrobial compounds. This research presents the fabrication of pristine and cerium-modified tin oxide nanomaterials using a straightforward co-precipitation technique for electrochemical detection purposes. The morphological and crystalline characteristics of the synthesized materials were investigated using XRD, SEM, XPS and FTIR. Among the tested compositions, tin oxide nanomaterials containing 1% cerium dopant demonstrated superior detection capabilities when compared to undoped samples and those containing 3% and 5% cerium concentrations, making it the optimal choice for cyclic voltammetry and differential pulse voltammetry investigations conducted in acidic conditions (pH 2). Furthermore, the cerium-modified tin oxide detection system exhibited excellent reproducibility, long-term stability, consistent performance, and resistance to interfering substances. Practical validation was performed using authentic biological samples including human serum, honey, and poultry tissue extracts. The cerium-enhanced tin oxide sensing platform represents an economical, user-friendly, and highly sensitive solution for antimicrobial detection, contributing significantly to advancements in sensor technology development.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100977"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147419794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-16DOI: 10.1016/j.sbsr.2026.100965
Ayush Madan , Abdulhakim Umar Toro , Ramandeep Saini , Edward Terhemen Akange , Mehdi Rahimi
Nanobiosensors have emerged as transformative analytical platforms by integrating nanoscale materials with biological recognition to achieve ultrasensitive, selective, and real-time detection across diverse application domains. This comprehensive review critically synthesizes recent advances in nanobiosensor design through a unified multiscale framework that links nanoscale sensing mechanisms, mesoscopic device architectures, and macroscopic system integration. We systematically evaluate major nanomaterials, including carbon nanotubes, quantum dots, metallic nanoparticles, nanowires, and polymer nanocomposites, correlating their physicochemical properties with sensing performance metrics such as sensitivity, selectivity, stability, and reproducibility. Emphasis is placed on mechanistic signal transduction pathways, including electron transfer, field-effect modulation, plasmonic resonance, and fluorescence-based energy transfer, to explain observed performance trade-offs. Multiscale application pathways are analyzed across healthcare diagnostics, environmental monitoring, food safety, and agriculture, demonstrating that practical deployment depends on coordinated integration beyond nanoscale sensitivity alone. Key challenges limiting translation, including biocompatibility, fouling, fabrication scalability, and long-term signal stability, are critically assessed alongside emerging mitigation strategies such as hybrid architectures, surface engineering, and AI-assisted signal processing. By reframing multiscale nanobiosensing as a system-level design paradigm rather than a material-centric pursuit, this review provides actionable guidelines for rational sensor development and highlights future directions toward robust, scalable, and application-ready nanobiosensor technologies for global deployment.
{"title":"Advanced nano-biosensors with multiscale applications: A comprehensive review","authors":"Ayush Madan , Abdulhakim Umar Toro , Ramandeep Saini , Edward Terhemen Akange , Mehdi Rahimi","doi":"10.1016/j.sbsr.2026.100965","DOIUrl":"10.1016/j.sbsr.2026.100965","url":null,"abstract":"<div><div>Nanobiosensors have emerged as transformative analytical platforms by integrating nanoscale materials with biological recognition to achieve ultrasensitive, selective, and real-time detection across diverse application domains. This comprehensive review critically synthesizes recent advances in nanobiosensor design through a unified multiscale framework that links nanoscale sensing mechanisms, mesoscopic device architectures, and macroscopic system integration. We systematically evaluate major nanomaterials, including carbon nanotubes, quantum dots, metallic nanoparticles, nanowires, and polymer nanocomposites, correlating their physicochemical properties with sensing performance metrics such as sensitivity, selectivity, stability, and reproducibility. Emphasis is placed on mechanistic signal transduction pathways, including electron transfer, field-effect modulation, plasmonic resonance, and fluorescence-based energy transfer, to explain observed performance trade-offs. Multiscale application pathways are analyzed across healthcare diagnostics, environmental monitoring, food safety, and agriculture, demonstrating that practical deployment depends on coordinated integration beyond nanoscale sensitivity alone. Key challenges limiting translation, including biocompatibility, fouling, fabrication scalability, and long-term signal stability, are critically assessed alongside emerging mitigation strategies such as hybrid architectures, surface engineering, and AI-assisted signal processing. By reframing multiscale nanobiosensing as a system-level design paradigm rather than a material-centric pursuit, this review provides actionable guidelines for rational sensor development and highlights future directions toward robust, scalable, and application-ready nanobiosensor technologies for global deployment.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100965"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-03-03DOI: 10.1016/j.sbsr.2026.100992
Lueda Kulla , Ana Ameda , Petr Jakubec , Besnik Baraj , Alma Shehu , Sadik Cenolli , Nevila Broli , Majlinda Vasjari , Michal Otyepka
Neonicotinoids such as imidacloprid (IMI) and thiamethoxam (THMX), together with paraquat (PQ), are widely used agrochemicals that pose significant environmental and food safety risks due to their toxicity and persistence. Simultaneous electrochemical detection of these pesticides remains challenging because of intrinsically overlapping redox signals. Unlike conventional graphene-based electrochemical sensors that rely on peak separation, this work introduces a factorial design–assisted strategy enabling quantitative interpretation of overlapping responses and simultaneous group detection of structurally similar neonicotinoid pesticides. A chemometric-assisted electrochemical sensing approach was developed for rapid, reliable, and on-site analysis using a carbon paste electrode modified with nickel-decorated reduced graphene oxide (Ni–rGO/CPE). To the best of our knowledge, this represents one of the first application of a Ni–rGO composite combined with factorial design to quantitatively evaluate a multi-analyte pesticide system. Carbon paste electrodes served as a low-cost, versatile proof-of-concept platform. The Ni–rGO/CPE exhibited enhanced electron-transfer properties and stable electrochemical performance, confirmed by cyclic voltammetry and electrochemical impedance spectroscopy. Differential pulse voltammetry enabled detection with limits of 0.77 ppm for IMI, 1.63 ppm for THMX, and 0.70 ppm for PQ, with linear response ranges of 3–154 ppm (IMI), 4–110 ppm (THMX), and 3–119 ppm (PQ). The sensor demonstrated good reproducibility (RSD = 5.2% for IMI and 5.6% for PQ). Factorial analysis identified THMX as the dominant contributor, while PQ exhibited a suppressive interference effect, enabling quantitative interpretation of mixed-analyte responses. The method was successfully validated in river water and mandarin samples, demonstrating satisfactory accuracy and reproducibility, with recoveries of 88.5–112.6% for IMI and 76.9–108.1% for mixed solutions. This work demonstrates the potential of graphene-based nanocomposites combined with factorial design as a scalable strategy for multi-analyte pesticide detection, with further improvements achievable through integration into printed electrode systems for practical on-site monitoring.
{"title":"Factorial design–assisted simultaneous electrochemical sensing of neonicotinoid pesticides using a Ni–rGO-modified electrode","authors":"Lueda Kulla , Ana Ameda , Petr Jakubec , Besnik Baraj , Alma Shehu , Sadik Cenolli , Nevila Broli , Majlinda Vasjari , Michal Otyepka","doi":"10.1016/j.sbsr.2026.100992","DOIUrl":"10.1016/j.sbsr.2026.100992","url":null,"abstract":"<div><div>Neonicotinoids such as imidacloprid (IMI) and thiamethoxam (THMX), together with paraquat (PQ), are widely used agrochemicals that pose significant environmental and food safety risks due to their toxicity and persistence. Simultaneous electrochemical detection of these pesticides remains challenging because of intrinsically overlapping redox signals. Unlike conventional graphene-based electrochemical sensors that rely on peak separation, this work introduces a factorial design–assisted strategy enabling quantitative interpretation of overlapping responses and simultaneous group detection of structurally similar neonicotinoid pesticides. A chemometric-assisted electrochemical sensing approach was developed for rapid, reliable, and on-site analysis using a carbon paste electrode modified with nickel-decorated reduced graphene oxide (Ni–rGO/CPE). To the best of our knowledge, this represents one of the first application of a Ni–rGO composite combined with factorial design to quantitatively evaluate a multi-analyte pesticide system. Carbon paste electrodes served as a low-cost, versatile proof-of-concept platform. The Ni–rGO/CPE exhibited enhanced electron-transfer properties and stable electrochemical performance, confirmed by cyclic voltammetry and electrochemical impedance spectroscopy. Differential pulse voltammetry enabled detection with limits of 0.77 ppm for IMI, 1.63 ppm for THMX, and 0.70 ppm for PQ, with linear response ranges of 3–154 ppm (IMI), 4–110 ppm (THMX), and 3–119 ppm (PQ). The sensor demonstrated good reproducibility (RSD = 5.2% for IMI and 5.6% for PQ). Factorial analysis identified THMX as the dominant contributor, while PQ exhibited a suppressive interference effect, enabling quantitative interpretation of mixed-analyte responses. The method was successfully validated in river water and mandarin samples, demonstrating satisfactory accuracy and reproducibility, with recoveries of 88.5–112.6% for IMI and 76.9–108.1% for mixed solutions. This work demonstrates the potential of graphene-based nanocomposites combined with factorial design as a scalable strategy for multi-analyte pesticide detection, with further improvements achievable through integration into printed electrode systems for practical on-site monitoring.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100992"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147421384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-12-20DOI: 10.1016/j.sbsr.2025.100948
Babak Nejati , Sepideh Shadravan , Mohammad Mahdi Heidari , Atefe Etebari , Ahmad Mobed , Sajjad Jafarzadeh
Breast cancer is the most common malignancy among women globally, accounting for approximately 670,000 deaths in 2022. The overexpression of the HER2 protein in breast cancer has established it as a pivotal target for diagnostic and therapeutic strategies. Recent advancements in biosensor technology have significantly improved the detection, monitoring, and treatment of HER2-positive breast cancer. This review focuses on the latest innovations in biosensor design and functionality, including the use of nanomaterials, electrochemical, and optical biosensors, all tailored for the sensitive and specific detection of HER2. We explore not only recent advancements but also conventional methods such as FISH, CISH, and IHC, demonstrating how these approaches, in conjunction with biosensor technologies, facilitate real-time monitoring of treatment responses and disease progression, thereby offering personalized management strategies for patients. Additionally, we discuss the integration of biosensor technologies with microfluidics and wearable devices, highlighting their immense potential in point-of-care diagnostics. The novelty of this work lies in its comprehensive synthesis of current research, referencing articles published over the past two years, with a focus on biosensors specific to HER2 detection. This work particularly emphasizes multi-modal sensing approaches and their practical applications in clinical settings. By summarizing key findings and ongoing studies, this review aims to elucidate the transformative role of biosensors in enhancing breast cancer management and improving patient outcomes.
{"title":"Innovative approaches to HER2 detection: Biosensors in breast cancer management","authors":"Babak Nejati , Sepideh Shadravan , Mohammad Mahdi Heidari , Atefe Etebari , Ahmad Mobed , Sajjad Jafarzadeh","doi":"10.1016/j.sbsr.2025.100948","DOIUrl":"10.1016/j.sbsr.2025.100948","url":null,"abstract":"<div><div>Breast cancer is the most common malignancy among women globally, accounting for approximately 670,000 deaths in 2022. The overexpression of the HER2 protein in breast cancer has established it as a pivotal target for diagnostic and therapeutic strategies. Recent advancements in biosensor technology have significantly improved the detection, monitoring, and treatment of HER2-positive breast cancer. This review focuses on the latest innovations in biosensor design and functionality, including the use of nanomaterials, electrochemical, and optical biosensors, all tailored for the sensitive and specific detection of HER2. We explore not only recent advancements but also conventional methods such as FISH, CISH, and IHC, demonstrating how these approaches, in conjunction with biosensor technologies, facilitate real-time monitoring of treatment responses and disease progression, thereby offering personalized management strategies for patients. Additionally, we discuss the integration of biosensor technologies with microfluidics and wearable devices, highlighting their immense potential in point-of-care diagnostics. The novelty of this work lies in its comprehensive synthesis of current research, referencing articles published over the past two years, with a focus on biosensors specific to HER2 detection. This work particularly emphasizes multi-modal sensing approaches and their practical applications in clinical settings. By summarizing key findings and ongoing studies, this review aims to elucidate the transformative role of biosensors in enhancing breast cancer management and improving patient outcomes.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100948"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-12-20DOI: 10.1016/j.sbsr.2025.100950
Julius Zimmermann , Lam Vien Che , Trevor M. Kickliter , Simon Adrian , Ursula van Rienen
Advanced microscopy techniques enable live imaging of biological processes in multicellular systems with subcellular resolution. New insights into tissue–electric field interactions are unlocked by combining microscopy with microelectrodes for impedance analysis and electrical stimulation. However, a streamlined pipeline to develop realistic numerical simulations for electric field computations from imaging data is currently lacking. We present a user-friendly, automated, and efficient solution to bridge this gap. The method relies on well-established open-source software and can be readily deployed on a high-performance computing cluster. Verification cases with known analytical solutions demonstrate the high accuracy and reliability of the method. As demonstration cases of application scenarios of our method, we show how the electric field exposure of multicellular geometries imaged by 3D fluorescence microscopy can be numerically computed. Moreover, impedance spectra and the local effect of electrical stimulation by microelectrodes are computed. Finally, sensitivities to cell state and morphology are outlined, providing a basis for the rational design of future experiments.
{"title":"Realistic image-based simulations of multicellular systems exposed to electric fields for applications in impedance sensing and electrical stimulation","authors":"Julius Zimmermann , Lam Vien Che , Trevor M. Kickliter , Simon Adrian , Ursula van Rienen","doi":"10.1016/j.sbsr.2025.100950","DOIUrl":"10.1016/j.sbsr.2025.100950","url":null,"abstract":"<div><div>Advanced microscopy techniques enable live imaging of biological processes in multicellular systems with subcellular resolution. New insights into tissue–electric field interactions are unlocked by combining microscopy with microelectrodes for impedance analysis and electrical stimulation. However, a streamlined pipeline to develop realistic numerical simulations for electric field computations from imaging data is currently lacking. We present a user-friendly, automated, and efficient solution to bridge this gap. The method relies on well-established open-source software and can be readily deployed on a high-performance computing cluster. Verification cases with known analytical solutions demonstrate the high accuracy and reliability of the method. As demonstration cases of application scenarios of our method, we show how the electric field exposure of multicellular geometries imaged by 3D fluorescence microscopy can be numerically computed. Moreover, impedance spectra and the local effect of electrical stimulation by microelectrodes are computed. Finally, sensitivities to cell state and morphology are outlined, providing a basis for the rational design of future experiments.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100950"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145921212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the past ten years, chitosan has attracted substantial scientific and industrial interest due to its natural abundance, biodegradability, and versatile functional properties. These attributes have enabled its rapid advancement across multiple sectors, including wastewater treatment, biomedical engineering, and sensor technology. Chitosan, a polysaccharide and polyelectrolyte polymer rich in amine and hydroxyl groups, offers vast potential for chemical modification. AI technologies have been utilized in chitosan synthesis for optimizing particle size, separation, coagulation, solubility, and sensor performance. Additionally, chitosan-based sensors have demonstrated efficacy in potentiometric and voltammetric applications. This review highlights the emerging roles of chitosan compound synthesis strategies for electrochemical sensors, advanced physicochemical characterization approaches, the functional role of chitosan in potentiometric and voltammetric sensing, and recent progress in integrating AI and IoT into both chitosan synthesis and chitosan-based sensor systems. A comparative analysis of recent references highlights gaps in the consistency of AI adoption and indicates a growing trend toward chitosan-based sensor development. This review provides an integrated perspective on how AI and IoT can accelerate innovation in chitosan synthesis and chitosan-based self-powered sensors, while outlining future opportunities for next-generation smart sensing and biosensing technologies.
{"title":"The role of artificial intelligence and the internet of things in chitosan synthesis and electrochemical sensors applications: A brief overview","authors":"Yohan , Irkham , Irwan Kurnia , Natasha Fransisca , Adisyahputra , Yeni Wahyuni Hartati","doi":"10.1016/j.sbsr.2026.100970","DOIUrl":"10.1016/j.sbsr.2026.100970","url":null,"abstract":"<div><div>Over the past ten years, chitosan has attracted substantial scientific and industrial interest due to its natural abundance, biodegradability, and versatile functional properties. These attributes have enabled its rapid advancement across multiple sectors, including wastewater treatment, biomedical engineering, and sensor technology. Chitosan, a polysaccharide and polyelectrolyte polymer rich in amine and hydroxyl groups, offers vast potential for chemical modification. AI technologies have been utilized in chitosan synthesis for optimizing particle size, separation, coagulation, solubility, and sensor performance. Additionally, chitosan-based sensors have demonstrated efficacy in potentiometric and voltammetric applications. This review highlights the emerging roles of chitosan compound synthesis strategies for electrochemical sensors, advanced physicochemical characterization approaches, the functional role of chitosan in potentiometric and voltammetric sensing, and recent progress in integrating AI and IoT into both chitosan synthesis and chitosan-based sensor systems. A comparative analysis of recent references highlights gaps in the consistency of AI adoption and indicates a growing trend toward chitosan-based sensor development. This review provides an integrated perspective on how AI and IoT can accelerate innovation in chitosan synthesis and chitosan-based self-powered sensors, while outlining future opportunities for next-generation smart sensing and biosensing technologies.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100970"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146184807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-30DOI: 10.1016/j.sbsr.2026.100975
Guoshuo Peng , Jialin Shi , Hanxun Zhang , Qifeng Jiao , Zhenhu Jin , Jiamin Chen
This study presents the successful development of an active magnetically compensative magnetocardiogram (MCG) detection system based on tunneling magnetic resistance (TMR) sensors. The active magnetic compensation system compensates for environmental magnetic noise in real-time using a three-axis coil, ultimately reducing the environmental static magnetic field to below 60 pT, with a shielding factor on the order of 106. The system has a bandwidth of 10 kHz, allowing for the suppression of wideband AC magnetic disturbances, and achieves a background noise level on the order of 10 pT. The reliable MCG signals are successfully acquired and processed by a differential TMR sensor arrangement. The experimental results demonstrate that the MCG signals acquired using the tunneling magnetoresistance (TMR) sensor exhibit clearly identifiable QRS complexes, T waves, and P waves. These features show strong consistency with those observed in both the simultaneously recorded electrocardiogram (ECG) signals and the MCG signals obtained using optically pumped magnetometers (OPMs). In conclusion, the results of this experiment demonstrate the viability and efficacy of the MCG detection system based on TMR sensors, establishing a foundation for further research and applications of the cardiac magnetic signal.
{"title":"An active magnetic compensative cardiomagnetic measurement system based on tunneling magnetic sensors","authors":"Guoshuo Peng , Jialin Shi , Hanxun Zhang , Qifeng Jiao , Zhenhu Jin , Jiamin Chen","doi":"10.1016/j.sbsr.2026.100975","DOIUrl":"10.1016/j.sbsr.2026.100975","url":null,"abstract":"<div><div>This study presents the successful development of an active magnetically compensative magnetocardiogram (MCG) detection system based on tunneling magnetic resistance (TMR) sensors. The active magnetic compensation system compensates for environmental magnetic noise in real-time using a three-axis coil, ultimately reducing the environmental static magnetic field to below 60 pT, with a shielding factor on the order of 10<sup>6</sup>. The system has a bandwidth of 10 kHz, allowing for the suppression of wideband AC magnetic disturbances, and achieves a background noise level on the order of 10 pT. The reliable MCG signals are successfully acquired and processed by a differential TMR sensor arrangement. The experimental results demonstrate that the MCG signals acquired using the tunneling magnetoresistance (TMR) sensor exhibit clearly identifiable QRS complexes, T waves, and P waves. These features show strong consistency with those observed in both the simultaneously recorded electrocardiogram (ECG) signals and the MCG signals obtained using optically pumped magnetometers (OPMs). In conclusion, the results of this experiment demonstrate the viability and efficacy of the MCG detection system based on TMR sensors, establishing a foundation for further research and applications of the cardiac magnetic signal.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100975"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146184819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cardiovascular disease (CVD) continues to be the leading cause of death and disability worldwide, creating a pressing need for diagnostic approaches that are rapid, sensitive, and accessible, particularly for early detection and point-of-care testing (POCT). Traditional clinical instruments, including biomarker assays and imaging modalities, are still limited by their lack of timeliness and inadequate facilitation of personalized risk assessment. Recently, nucleic acid–based biosensing has emerged as a promising strategy for cardiovascular diagnostics. Isothermal amplification methods, including loop-mediated isothermal amplification (LAMP) and recombinase polymerase amplification (RPA), enable fast and highly sensitive nucleic acid detection under constant-temperature conditions, making them well suited for portable and decentralized testing. In parallel, CRISPR/Cas-based detection systems offer programmable and sequence-specific recognition, and their integration with isothermal amplification has been experimentally shown to substantially enhance the detection of low-abundance cardiovascular nucleic acid biomarkers. Beyond diagnostics, CRISPR technologies are also being applied to mechanistic studies and gene-based therapeutic research. However, fully autonomous diagnostic–therapeutic closed-loop systems remain largely conceptual. This review summarizes current biosensing platforms and discusses their translational potential in cardiovascular precision medicine.
{"title":"Application and development of isothermal amplification and gene editing technology in cardiovascular diseases","authors":"Jianguang Guo , Qingsong Wu , Linfeng Xie , Xiaofu Dai , Liangwan Chen","doi":"10.1016/j.sbsr.2026.100971","DOIUrl":"10.1016/j.sbsr.2026.100971","url":null,"abstract":"<div><div>Cardiovascular disease (CVD) continues to be the leading cause of death and disability worldwide, creating a pressing need for diagnostic approaches that are rapid, sensitive, and accessible, particularly for early detection and point-of-care testing (POCT). Traditional clinical instruments, including biomarker assays and imaging modalities, are still limited by their lack of timeliness and inadequate facilitation of personalized risk assessment. Recently, nucleic acid–based biosensing has emerged as a promising strategy for cardiovascular diagnostics. Isothermal amplification methods, including loop-mediated isothermal amplification (LAMP) and recombinase polymerase amplification (RPA), enable fast and highly sensitive nucleic acid detection under constant-temperature conditions, making them well suited for portable and decentralized testing. In parallel, CRISPR/Cas-based detection systems offer programmable and sequence-specific recognition, and their integration with isothermal amplification has been experimentally shown to substantially enhance the detection of low-abundance cardiovascular nucleic acid biomarkers. Beyond diagnostics, CRISPR technologies are also being applied to mechanistic studies and gene-based therapeutic research. However, fully autonomous diagnostic–therapeutic closed-loop systems remain largely conceptual. This review summarizes current biosensing platforms and discusses their translational potential in cardiovascular precision medicine.</div></div>","PeriodicalId":424,"journal":{"name":"Sensing and Bio-Sensing Research","volume":"51 ","pages":"Article 100971"},"PeriodicalIF":4.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146184749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}