Biosensors and Bioelectronics: X最新文献_第3页

Optimizing nanowell biosensor fabrication: Evaluation of metal deposition and oxide layer modification 优化纳米孔生物传感器制造：金属沉积和氧化层修饰的评价

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-12-01 DOI: 10.1016/j.biosx.2025.100713

Ali Fardoost, Mehdi Javanmard

This study presents a comparative evaluation of two nanowell-based biosensor fabrication methods designed to improve sensing performance and device reliability. The conventional process employs electron beam (e-beam) evaporation for metal deposition and aluminum oxide (Al₂O₃) as the insulating layer, while the modified approach utilizes the sputtering method for metal deposition and hafnium oxide (HfO₂) as the insulating layer, respectively. Both fabrication methods were used to construct nanowell impedance biosensors for detecting interleukin-6 (IL-6) at concentrations ranging from 10 nM to 10 fM. Electrochemical impedance spectroscopy (EIS) was performed in a two-electrode configuration using an AC excitation of 10 mV across a frequency range of 1 Hz–5 MHz. The Sputtered/HfO₂ biosensors exhibited improved electrical insulation, enhanced step coverage, and reduced device failure due to short or open circuits. These improvements resulted in a higher baseline response, reduced voltage drift, and enhanced sensitivity, achieving a limit of detection (LOD) of 7.8 fM compared to 15.5 fM for the E-beam/Al₂O₃ sensors. The results demonstrate that optimized fabrication using sputtering and HfO₂ significantly enhances biosensor reproducibility and detection performance, supporting its application in scalable, label-free diagnostic platforms.

本研究提出了两种基于纳米孔的生物传感器制造方法的比较评估，旨在提高传感性能和设备可靠性。传统方法采用电子束蒸发法沉积金属，以氧化铝（Al2O3）为绝缘层，而改进后的方法采用溅射法沉积金属，以氧化铪（HfO2）为绝缘层。两种制备方法均用于构建纳米孔阻抗生物传感器，用于检测浓度在10 nM至10 fM范围内的白细胞介素-6 （IL-6）。电化学阻抗谱（EIS）在两电极配置下进行，在1 Hz-5 MHz的频率范围内使用10 mV的交流激励。溅射/HfO2生物传感器表现出改进的电绝缘，增强的台阶覆盖，减少了由于短路或开路导致的设备故障。这些改进提高了基线响应，减少了电压漂移，提高了灵敏度，实现了7.8 fM的检测极限（LOD），而电子束/Al2O3传感器的检测极限为15.5 fM。结果表明，利用溅射和HfO2的优化制造显著提高了生物传感器的再现性和检测性能，支持其在可扩展、无标签诊断平台中的应用。

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引用次数: 0

Corrigendum to “Flexible gold nanoparticle SERS tape for rapid, label-free and ultrasensitive detection and differentiation of Shiga toxin variants” [Biosens. Bioelectron. X 27 (2025) 100696] “用于快速、无标记和超灵敏检测和分化志贺毒素变体的柔性金纳米粒子SERS胶带”的勘误表[Biosens]。Bioelectron。x27 (2025) 100696]

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-12-01 DOI: 10.1016/j.biosx.2025.100704

A. D'Avino , A. Milano , V. Marchesano , B. Guilcapi , D. Sagnelli , M. Rippa , L. Zhou , G. Rossi , L. Consagra , M. Brigotti , S. Morabito , L. Petti

引用次数: 0

A novel approach for enzyme-based glucose detection: The application of non-faradaic electron impedance spectroscopy for PEDOT-PSS/TiO2 nanocomposite 基于酶的葡萄糖检测新方法：非法拉第电子阻抗谱在PEDOT-PSS/TiO2纳米复合材料中的应用

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-11-12 DOI: 10.1016/j.biosx.2025.100712

Ashitosh P. Deshmukh , Aditya V. Tiwari , Shailesh P. Tiwari , Deepika S. Yawale , Dhananjay P. Deshmukh , Monica S. Dixit , Shrikrishna P. Yawale

This study presents a groundbreaking approach to enzyme-based glucose detection through the innovative application of non-faradaic electron impedance spectroscopy (nf-EIS). A precise in situ chemical oxidative method is used for successfully synthesizing Poly(3,4-ethylenedioxythiophene)-Poly(Sodium 4-styrenesulfonate)/Titanium dioxide (PEDOT-PSS/TiO₂) nanocomposites. Also fabricated them on Whatman Grade-1 (WG-1) filter paper using the Screen-Printed Electrode method. The structural behavior and characteristics of the synthesized PEDOT-PSS polymer matrix have been by using advanced techniques, including Fourier transform infrared (FTIR) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), ultraviolet–visible (UV–Vis) spectroscopy and Energy Dispersive X-ray Spectroscopy (EDAX) at room temperature (303 K). The analysis of nf-EIS behavior of the fabricated biosensors across varying glucose concentrations demonstrated remarkable insights through impedimetric AC conductivity measurements at a constant voltage (0.3 V). The XRD spectra confirm the presence of the anatase plane in the tetragonal structure of TiO₂ nanoparticles. The average crystallite size and microstrain for all the samples were determined by using the Williamson-Hall (W-H) plot and Debye-Scherrer's formula. Specifically, sample 15 wt% TiO₂ composite with PEDOT-PSS, among other samples, displayed exceptional sensitivity (9.04 × 10⁻⁷ Sm⁻¹mM⁻¹, RSD 1.55 %) with a low detection limit (25.84 μM), a rapid response time of just 20 s, following a linear range of 0–40 mM.

本研究通过非法拉第电子阻抗谱（non- faraday electron impedance spectroscopy, nf-EIS）的创新应用，提出了一种突破性的酶基葡萄糖检测方法。采用精确的原位化学氧化方法成功合成了聚（3,4-乙烯二氧噻吩）-聚（4-苯乙烯磺酸钠）/二氧化钛（PEDOT-PSS/TiO2）纳米复合材料。采用丝网印刷电极法在Whatman 1级（WG-1）滤纸上制作。采用傅里叶变换红外光谱（FTIR）、x射线衍射（XRD）、扫描电子显微镜（SEM）、紫外可见光谱（UV-Vis）和能量色散x射线光谱（EDAX）等先进技术，在室温（303 K）下对合成的PEDOT-PSS聚合物基体的结构行为和特性进行了研究。通过在恒定电压（0.3 V）下阻抗交流电导率测量，分析了制备的生物传感器在不同葡萄糖浓度下的nf-EIS行为。XRD谱图证实了TiO2纳米颗粒四方结构中锐钛矿平面的存在。采用Williamson-Hall （W-H）图和Debye-Scherrer公式测定了所有样品的平均晶粒尺寸和微应变。其中，PEDOT-PSS复合TiO2样品的灵敏度为9.04 × 10−7 Sm−1mM−1，RSD为1.55%，检出限较低（25.84 μM），响应时间仅为20 s，线性范围为0-40 mM。

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引用次数: 0

Wearable smart sensors integration with AI and machine learning for tracking human health 集成人工智能和机器学习的可穿戴智能传感器，用于跟踪人类健康状况

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-11-12 DOI: 10.1016/j.biosx.2025.100711

Shi Xianyong , Dinesh Kumar Mishra , Öznur Özge Özcan , Mesut Karahan , Tan Panpan , Xiao Zhongshan , Palanirajan Vijayaraj Kumar

This study comprehensively investigates the integration of wearable smart sensors with artificial intelligence (AI) and machine learning (ML) for human health tracking, focusing on seven major sensor types: sweat, glucose, wound, mental state monitoring, inhalation, CRISPR‒Cas, and quantum sensors. It elaborates on their design principles, detection mechanisms, and biomedical applications, as well as their respective advantages and inherent challenges. This study highlights the pivotal role of AI/ML in optimizing sensor performance, including enhancing detection sensitivity, processing complex data, enabling real-time analysis, and enabling personalized healthcare. Specifically, AI/ML facilitates noise filtering, pattern recognition, multibiomarker identification, and predictive diagnostics across different sensor systems. Despite significant advancements, the field is still confronted with challenges, including sensor stability, data security risks, high production costs, and biocompatibility issues. The paper concludes by outlining future research and development directions, emphasizing material innovation, algorithm optimization, and multimodal sensing integration, and strengthening clinical translation to fully unlock the potential of wearable sensors in proactive and personalized healthcare, ultimately contributing to the improvement of public health outcomes.

本研究全面探讨了可穿戴智能传感器与人工智能（AI）和机器学习（ML）的集成，用于人体健康跟踪，重点关注七大传感器类型：汗液、葡萄糖、伤口、精神状态监测、吸入、CRISPR-Cas和量子传感器。阐述了它们的设计原理、检测机制、生物医学应用，以及各自的优势和内在挑战。这项研究强调了AI/ML在优化传感器性能方面的关键作用，包括提高检测灵敏度、处理复杂数据、实现实时分析和实现个性化医疗保健。具体来说，AI/ML促进了不同传感器系统的噪声过滤、模式识别、多生物标志物识别和预测诊断。尽管取得了重大进展，但该领域仍然面临着挑战，包括传感器稳定性、数据安全风险、高生产成本和生物相容性问题。文章总结了未来的研究和发展方向，强调材料创新、算法优化、多模态传感集成，加强临床转化，充分释放可穿戴传感器在主动个性化医疗中的潜力，最终为改善公共卫生结果做出贡献。

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引用次数: 0

A screen-printed carbon electrode immobilized MXene-gold nanoparticles composite detects creatinine in micro-volume of human serum samples 丝网印刷碳电极固定化mxene -金纳米颗粒复合材料检测微量人血清样品中的肌酐

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-31 DOI: 10.1016/j.biosx.2025.100710

Monika Chhillar , Poornima Bhatt , Anup Singh , Deepak Kukkar , Ashok Kumar , Ashok Kumar Yadav

Creatinine (CR), a non-protein nitrogenous compound, serves as an important clinical indicator for assessing renal function. This research reports the application of screen-printed electrodes modified with Ti₃C₂-based MXene-gold nanocomposites (SPCE/MXene/AuNPs) for the precise quantification of CR in human serum. The SPCE/MXene/AuNPs sensor leverages its interactions with CR to enhance redox electrochemical signals, leading to their amplified detection sensitivity. Under optimal conditions (pH 7.4), the SPCE/MXene/AuNPs sensor exhibited excellent analytical performance, with a linear detection range of 0.1–11 mg dL⁻¹, a high correlation coefficient (R² = 0.99), and calculated detection and quantification limits of 0.018 mg dL⁻¹ and 0.06 mg dL⁻¹, respectively. Additionally, these electrodes demonstrated minimal interference from common physiological compounds (glucose, ascorbic acid, glutathione, bilirubin, gentamicin, vancomycin, arginine globulin, histidine, urea, bovine serum albumin (BSA), and electrolytes [K⁺, Ca²⁺, SO₄²⁻, and Mg²⁺]). Furthermore, the developed sensor demonstrated excellent correlation (R² = 0.99) with the standard Jaffe method for CR assessment in human serum samples (n = 89) with a mean difference of −0.136 mg dL⁻¹ (95 % CI: 0.190 to −0.081 mg dL⁻¹) and significant agreement confirmed by paired t-test (p < 0.0001). Only four samples exhibited false negatives (3.58, 3.02, 9.50, and 11.25 %). The sensor retained 94.7 % of its initial response after 15 days at 4 °C, and reproducibility was confirmed via overlapping CV cycles. Our investigation demonstrates the potential of our electrochemical sensor for accurate and reliable CR measurement in complex biological matrices.

肌酐（CR）是一种非蛋白氮化合物，是评价肾功能的重要临床指标。本研究报道了用ti3c2基MXene-金纳米复合材料（SPCE/MXene/AuNPs）修饰的丝网印刷电极用于人血清中CR的精确定量。SPCE/MXene/AuNPs传感器利用其与CR的相互作用来增强氧化还原电化学信号，从而提高了检测灵敏度。在最优条件（pH 7.4）下，SPCE/MXene/AuNPs传感器具有良好的分析性能，线性检测范围为0.1 ~ 11 mg dL−1，相关系数高（R2 = 0.99），计算检测限和定量限分别为0.018 mg dL−1和0.06 mg dL−1。此外，这些电极显示最小的干扰，从常见的生理化合物（葡萄糖，抗坏血酸，谷胱甘肽，胆红素，庆大霉素，万古霉素，精氨酸球蛋白，组氨酸，尿素，牛血清白蛋白（BSA）和电解质[K+， Ca2+, SO42−，和Mg2+]）。此外，开发的传感器与人类血清样本（n = 89）中CR评估的标准Jaffe方法具有良好的相关性（R2 = 0.99），平均差异为- 0.136 mg dL - 1 (95% CI: 0.190至- 0.081 mg dL - 1)，配对t检验证实了显著的一致性（p < 0.0001）。只有4个样本出现假阴性（3.58%、3.02、9.50和11.25%）。在4°C温度下，传感器在15天后保持了94.7%的初始响应，并且通过重叠的CV循环确认了重复性。我们的研究证明了我们的电化学传感器在复杂生物基质中精确可靠的CR测量的潜力。

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引用次数: 0

Design of a highly sensitive SPR biosensor for rapid malaria detection based on zinc telluride and blue phosphorus/tungsten disulfide material 基于碲化锌和蓝磷/二硫化钨材料的高灵敏度SPR疟疾快速检测生物传感器设计

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-29 DOI: 10.1016/j.biosx.2025.100709

Md. Al Amin Islam Utshob, Maymona Binte Juwel, Rawfarin Sabiha, Aminur Rahman, Safayat-Al Imam, Khandakar Mohammad Ishtiak

Malaria continues to be a prominent global health issue, particularly in regions facing drug-resistant Plasmodium strains and climate-induced transmission expansion. To address the need for rapid and sensitive diagnostic devices, this research proposes an innovative surface plasmon resonance (SPR) biosensor design based on a BK7-ZnTe-Ag-Fe₂O₃-BlueP/WS₂ multilayer structure. To analyze the proposed SPR structure, both the finite element method (FEM) and the transfer matrix method (TMM) employed. The optimal architecture utilizes ZnTe (12 nm) for plasmonic coupling and light confinement, Ag (40 nm) for enhanced plasmonic sensitivity, Fe₂O₃ (3 nm) for interaction with the surface and stability and a BlueP/WS₂ monolayer for enhanced evanescent field and signal response. This proposed biosensor possesses maximum angular sensitivity of 444 (Degree/RIU), FWHM of 4.63 (Degree), figure of merit (FOM) of 95.80 and quality factor (QF) of 95.83 (1/RIU), with particularly good detection of the ring stage of malaria infection. Comparative studies with other sensor configurations reveal considerable enhancement in sensitivity and detection accuracy. High linearity of performance parameters with refractive index changes verifies the strength and reliability of the sensor for real-time malaria detection. The optimized SPR biosensor represents a low-cost, scalable platform for malaria detection at an early stage and can be extended to other biomedical applications, particularly in resource-limited settings.

疟疾仍然是一个突出的全球卫生问题，特别是在面临耐药疟原虫菌株和气候引起的传播扩大的区域。为了满足快速灵敏诊断设备的需求，本研究提出了一种基于BK7-ZnTe-Ag-Fe2O3-BlueP/WS2多层结构的创新表面等离子体共振（SPR）生物传感器设计。采用有限元法（FEM）和传递矩阵法（TMM）对SPR结构进行分析。最佳结构利用ZnTe （12 nm）用于等离子体耦合和光约束，Ag （40 nm）用于增强等离子体灵敏度，Fe2O3 （3 nm）用于与表面相互作用和稳定性，BlueP/WS2单层用于增强倏逝场和信号响应。该传感器的最大角灵敏度为444（度/RIU）， FWHM为4.63（度），优值图（FOM）为95.80，质量因子（QF）为95.83 (1/RIU)，对疟疾感染的环期检测效果特别好。与其他传感器配置的比较研究表明，在灵敏度和检测精度方面有相当大的提高。性能参数随折射率变化呈高度线性关系，验证了传感器实时检测疟疾的强度和可靠性。优化后的SPR生物传感器是一种低成本、可扩展的疟疾早期检测平台，可扩展到其他生物医学应用，特别是在资源有限的环境中。

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引用次数: 0

Recent advances and future outlooks towards engineered materials and interfaces for PFAS sensing PFAS传感工程材料和接口的最新进展和未来展望

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-24 DOI: 10.1016/j.biosx.2025.100706

Aman Kumar , Akshay Kumar , Sonam Kumari , Nitin Kumar Singhal , Giovanna Marrazza , Sandeep Kumar

Per- and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants associated with significant health risks, necessitating sensitive and reliable detection methods across varied matrices. Conventional techniques like liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) provide high sensitivity and specificity but are hampered by their complexity, cost, and limited field applicability. This review critically surveys recent advancements in PFAS sensing, focusing on engineered nanomaterial-based sensors and their integration into practical devices. We categorize sensing materials by structural characteristics, emphasizing nanomaterials functionalized with specific recognition elements to improve selectivity. The review also explores hybrid sensor platforms combining multiple detection modalities. Further, we discuss the role of artificial intelligence and machine learning techniques in enhancing sensor selectivity, data processing, and adaptability to complex environmental samples. Real-world validation studies are analyzed, highlighting sensor performance in matrices including drinking water, serum, and soil, emphasizing strategies to mitigate matrix interferences such as antifouling coatings and sample pretreatment. Challenges in sensor reproducibility, miniaturization, and regulatory compliance for field deployment are also examined. Overall, we provide a comprehensive outlook on the materials innovation, mechanistic understanding, and data-driven approaches that underpin the development of smart, portable PFAS sensors. These advances promise to bridge gaps between laboratory research and real-world applications, supporting regulatory monitoring and environmental protection efforts with scalable, cost-effective sensing solutions.

全氟烷基和多氟烷基物质（PFAS）是广泛存在的环境污染物，与重大健康风险相关，需要在各种基质中采用敏感和可靠的检测方法。液相色谱-串联质谱（LC-MS/MS）和气相色谱-质谱（GC-MS）等传统技术具有高灵敏度和特异性，但由于其复杂性、成本和有限的现场适用性而受到阻碍。本文综述了PFAS传感的最新进展，重点是基于工程纳米材料的传感器及其在实际设备中的集成。我们根据结构特征对传感材料进行分类，强调具有特定识别元素的功能化纳米材料以提高选择性。本文还探讨了结合多种检测方式的混合传感器平台。此外，我们还讨论了人工智能和机器学习技术在增强传感器选择性、数据处理和对复杂环境样本的适应性方面的作用。分析了实际验证研究，强调了传感器在包括饮用水、血清和土壤在内的基质中的性能，强调了减轻基质干扰的策略，如防污涂层和样品预处理。还研究了传感器再现性、小型化和现场部署的法规遵从性方面的挑战。总的来说，我们提供了一个全面的展望材料创新，机制的理解，和数据驱动的方法，支持智能，便携式PFAS传感器的发展。这些进步有望弥合实验室研究与实际应用之间的差距，通过可扩展的、具有成本效益的传感解决方案支持监管监测和环境保护工作。

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引用次数: 0

Illuminating mitochondrial metabolism with genetically encoded fluorescent indicators 用基因编码荧光指示器照亮线粒体代谢

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-23 DOI: 10.1016/j.biosx.2025.100705

C. Aburto , A. Pinilla , F. Carrera-Arenas , A. San Martín

Mitochondria are recognized as dynamic metabolic hubs that integrate bioenergetic, biosynthetic and signaling functions well beyond ATP production. Their matrix hosts the Krebs cycle, fatty acid β-oxidation, and key branches of amino-acid metabolism, while also supporting heme synthesis, the urea cycle, calcium handling and redox homeostasis. Dissecting these intertwined pathways demands tools that can report metabolite dynamics in situ, where native ion gradients and macromolecular crowding are preserved. Genetically encoded fluorescent indicators are protein-based indicators whose spectroscopic properties shift upon binding the target metabolite. Because they are genetically encoded, these fluorescent indicators can be expressed in specific cell types and targeted to subcellular compartments, allowing real-time, non-invasive tracking of metabolic dynamics in living systems. This systematic review surveys the state-of-the-art in mitochondrial GEFIs, cataloguing fluorescent indicators for monocarboxylates, Krebs-cycle intermediates, amino acids, redox cofactors and energy nucleotides. Additionally, we outline core design principles, summarize strategies that ensure efficient targeting into the mitochondrial matrix, and discuss challenges for their correct application. By charting current capabilities and knowledge gaps, this review aims to guide the next generation of mitochondrial GEFIs and to accelerate quantitative mapping of metabolic networks at subcellular resolution.

线粒体是公认的动态代谢中心，它整合了生物能量、生物合成和信号功能，远远超出了ATP的产生。它们的基质承载克雷布斯循环、脂肪酸β氧化和氨基酸代谢的关键分支，同时也支持血红素合成、尿素循环、钙处理和氧化还原稳态。解剖这些相互交织的途径需要能够原位报告代谢物动力学的工具，其中天然离子梯度和大分子拥挤被保留。基因编码的荧光指示剂是基于蛋白质的指示剂，其光谱特性在与目标代谢物结合时发生变化。由于它们是遗传编码的，这些荧光指示器可以在特定的细胞类型中表达，并针对亚细胞区室，从而实现对生命系统代谢动力学的实时、无创跟踪。本系统综述调查了线粒体gefi的最新进展，对单羧酸、克雷布斯循环中间体、氨基酸、氧化还原辅助因子和能量核苷酸的荧光指标进行了分类。此外，我们概述了核心设计原则，总结了确保有效靶向线粒体基质的策略，并讨论了其正确应用的挑战。通过绘制当前的能力和知识差距，本综述旨在指导下一代线粒体gefi，并加速亚细胞分辨率代谢网络的定量制图。

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引用次数: 0

Nanopot V1.0: A point of care electrochemical sensor prototype device for precise detection of tacrolimus in transplant patients nanoot V1.0：用于移植患者他克莫司精确检测的护理点电化学传感器原型装置

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-23 DOI: 10.1016/j.biosx.2025.100708

K. Niyas , K.R. Anitha , Muhammad Salmun , P. Abdul Rasheed

A miniaturized electrochemical sensor device prototype (NanoPot V1.0) encompasses with a portable potentiostat was developed for precise detection of tacrolimus, which is a critical immunosuppressant drug used for prevention of organ rejection in transplant patients. The developed NanoPot V1.0 prototype device combines a LMP91000 analog front-end with a ESP8266 microcontroller on a compact circuit board, along with a cylindrical well comprising of three electrode system with carbon cloth as working electrode. Notably, the chronoamperometric results from NanoPot V1.0 prototype device were very similar to those from a regular conventional CH Instruments potentiostat, which proved that the developed prototype device is accurate and reliable. The electrochemical behaviour of tacrolimus using NanoPot V1.0 prototype device was evaluated across a concentration range of 5–50 nM, which comes under clinically relevant levels. The prototype device showed excellent linearity with a detection limit comparable to standard laboratory equipment with excellent linearity (R² = 0.99) in tacrolimus quantification. Hence, this NanoPot V1.0 prototype device is bridging the gap between sophisticated laboratory-grade instruments and portable point-of-care (PoC) devices. This work represents a significant step towards developing a portable, sensitive, low-cost, and reliable PoC device for tacrolimus monitoring. This combination of miniaturized hardware and optimized electrochemical methods offers promising potential for PoC applications in transplant medicine and other broader bioanalytical fields.

一种微型电化学传感器装置原型（NanoPot V1.0）包含一个便携式恒电位器，用于精确检测他克莫司，他克莫司是一种用于预防移植患者器官排斥的关键免疫抑制药物。开发的NanoPot V1.0原型装置将LMP91000模拟前端与ESP8266微控制器结合在紧凑的电路板上，以及由三电极系统组成的圆柱形井，碳布作为工作电极。值得注意的是，nanoot V1.0原型装置的计时安培结果与常规CH Instruments电位器的计时安培结果非常相似，证明了所开发的原型装置的准确性和可靠性。使用NanoPot V1.0原型装置在5-50 nM的浓度范围内评估他克莫司的电化学行为，该浓度范围处于临床相关水平。该装置在他克莫司定量中线性良好，检出限与线性良好的标准实验室设备相当（R2 = 0.99）。因此，这个NanoPot V1.0原型设备正在弥合复杂的实验室级仪器和便携式护理点（PoC）设备之间的差距。这项工作是朝着开发一种便携式、灵敏、低成本和可靠的他克莫司监测PoC设备迈出的重要一步。这种小型化硬件和优化的电化学方法的结合为PoC在移植医学和其他更广泛的生物分析领域的应用提供了广阔的潜力。

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引用次数: 0

Electrochemical and MEMS-based biosensors for quantifying ALDH1A1 expression and activity in non-small cell lung cancer cell lines 电化学和mems生物传感器定量ALDH1A1在非小细胞肺癌细胞系中的表达和活性

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-10-21 DOI: 10.1016/j.biosx.2025.100703

Ali I.M. Ibrahim , Worood H. Ismail , Alaa M. Hammad , Osama H. Abusara , Khaldoon Al-Qawasmeh , Abass Al-Momany , Abdel Qader Al Bawab , Raed Shadfan , Alwathiqbellah Ibrahim

Aldehyde dehydrogenase 1A1 (ALDH1A1) is a key biomarker in cancer cells, associated with cancer stem cell properties and drug resistance. Quantifying and analyzing ALDH1A1 activity in cancer cells can provide crucial insights into cancer progression and mechanisms of resistance to treatment. This study explores the application of biosensors in detecting and measuring ALDH1A1 levels in two non-small cell lung cancer cell lines (NSCLC) (A549 and NCI-H1299) and assessing enzyme activity. We used advanced biosensor technology to evaluate enzyme expression in cell lines tested and their functional activity using specific substrates and cofactors of ALDH1A1 compared to their exposure to a known inhibitor. Our results demonstrate that biosensor-based assays can accurately measure ALDH1A1 expression and functional activity, distinguishing between different cancer cell populations. In addition, a complementary theoretical MEMS-based cantilever biosensor model was developed that shows predictable resonance frequency shifts with binding to ALDH1A1, thus providing a predictive framework for quantitative diagnostics and sensor optimization. These biosensors offer high sensitivity, specificity, and real-time monitoring capabilities, providing a valuable tool to understand the role of ALDH1A1 in cancer biology, developing targeted therapies, and improving clinical outcomes.

醛脱氢酶1A1 （ALDH1A1）是肿瘤细胞的关键生物标志物，与肿瘤干细胞特性和耐药性相关。量化和分析癌细胞中的ALDH1A1活性可以为癌症进展和耐药机制提供重要的见解。本研究探讨了生物传感器在两种非小细胞肺癌细胞系（A549和NCI-H1299）中检测和测量ALDH1A1水平并评估酶活性的应用。我们使用先进的生物传感器技术来评估测试细胞系中酶的表达，以及它们使用特定底物和ALDH1A1辅因子时的功能活性，并将其暴露于已知抑制剂进行比较。我们的研究结果表明，基于生物传感器的检测可以准确地测量ALDH1A1的表达和功能活性，从而区分不同的癌细胞群。此外，研究人员还开发了一个互补的基于mems的悬臂式生物传感器理论模型，该模型显示了与ALDH1A1结合的可预测共振频移，从而为定量诊断和传感器优化提供了预测框架。这些生物传感器具有高灵敏度、特异性和实时监测能力，为了解ALDH1A1在癌症生物学中的作用、开发靶向治疗和改善临床结果提供了有价值的工具。

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引用次数: 0