Biosensors and Bioelectronics: X最新文献_第7页

Fluorescence sensing platform based on graphene oxide nucleic acid interaction for detecting mercury ions, bisphenol A, and target DNA 基于氧化石墨烯核酸相互作用的荧光传感平台，用于检测汞离子、双酚A和靶DNA

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-28 DOI: 10.1016/j.biosx.2025.100662

Xiangyu Xu, Yinan Guo, Xiong Zhou, Shuai Xu, Heng Xu

A multifunctional fluorescence sensing platform based on graphene oxide (GO) was developed to meet the rapid detection needs of environmental pollutants. Three specific mechanisms were employed to achieve highly sensitive detection. One was to use the T-Hg2+ - T structure to induce the dissociation of double stranded DNA from GO surface, achieving Hg2+ detection with a linear range of 100–1500 nM and a detection limit of 0.110 μ M. The second method was to release the trigger chain through the dissociation of bisphenol A (BPA) adapter complementary chain complex, combined with GO fluorescence quenching characteristics to detect BPA, with a detection limit of 0.5035 μ g/mL. The third method used Exo III enzyme to cleave double stranded DNA for signal amplification, combined with GO differential adsorption detection of nucleic acid fragments to detect target DNA, corresponding to a linear range of 0.01–0.4 nM and a detection limit of 11.2 pM. The spiked recovery rates of the three methods in wastewater/serum samples were 96.82 %–107.49 %, with a relative standard deviation of<3.47 %. The above research method combined nucleic acid recognition characteristics with GO signal regulation function through modular design, providing a new strategy for on-site detection of environmental pollutants.

为满足环境污染物的快速检测需求，研制了一种基于氧化石墨烯（GO）的多功能荧光传感平台。采用三种特定的机制来实现高灵敏度的检测。一种是利用T-Hg2+ - T结构诱导氧化石墨烯表面双链DNA解离，实现Hg2+检测，线性范围为100-1500 nM，检出限为0.110 μ m。二种方法是通过双酚a （BPA）接合互补链络合物解离释放触发链，结合氧化石墨烯荧光猝灭特性检测BPA，检出限为0.5035 μ g/mL。第三种方法利用Exo III酶裂解双链DNA进行信号扩增，结合GO差分吸附核酸片段检测靶DNA，对应线性范围为0.01 ~ 0.4 nM，检出限为11.2 pM。3种方法在废水/血清样品中的加标回收率为96.82% ~ 107.49%，相对标准偏差为3.47%。上述研究方法通过模块化设计将核酸识别特性与GO信号调节功能相结合，为环境污染物的现场检测提供了一种新的策略。

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引用次数: 0

Hydrogel-based multiplexed high-risk human papillomavirus DNA/RNA detection for cervical cancer screening 基于水凝胶的多重高危人乳头瘤病毒DNA/RNA检测用于宫颈癌筛查

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-28 DOI: 10.1016/j.biosx.2025.100664

Morteza Azizi , Jae-Sang Hong , Joshua Spitzberg , Ralph Weissleder , Cesar M. Castro , Hyungsoon Im

Rapid triaging of high-risk human papillomavirus (HPV) infections, especially in resource-limited regions, can reduce cervical cancer deaths by identifying high-risk patients and minimizing pathology bottlenecks and overtreatment. Here, we developed a simple, rapid method for parallel detection of HPV DNA and RNA subtypes associated with a high risk of developing cervical cancer. Specifically, we applied loop-mediated isothermal nucleic acid amplification (LAMP) in a hydrogel-based platform (LAMPGel) for HPV DNA or RNA detection using distinct hydrogel chambers within a single chip. The LAMPGel platform locally restricts single HPV gDNA or mRNA strands with a LAMP cocktail, which is then distributed within a thin hydrogel to locally form single fluorescent spots after a short isothermal incubation of <30 min. Detecting and counting these spots identifies HPV infection, viral load, and, more importantly, RNA expression as a predictive marker for cervical cancer development. LAMPGel is a sensitive, specific, easy-to-use, and rapid method for a point-of-care (POC) platform for potential applications in low- and middle-income countries once the technology is further validated with clinical samples in those settings. Furthermore, it could find broader applications in POC nucleic acid assays.

对高危人乳头瘤病毒（HPV）感染进行快速分诊，特别是在资源有限的地区，可以通过识别高危患者和尽量减少病理瓶颈和过度治疗来减少宫颈癌死亡。在这里，我们开发了一种简单、快速的方法，用于平行检测与宫颈癌高风险相关的HPV DNA和RNA亚型。具体来说，我们在基于水凝胶的平台（LAMP）中应用环介导的等温核酸扩增（LAMP），在单个芯片中使用不同的水凝胶腔进行HPV DNA或RNA检测。LAMPGel平台用LAMP鸡尾酒局部限制单个HPV gDNA或mRNA链，然后将其分布在薄水凝胶中，在30分钟的短暂等温孵卵后局部形成单个荧光点。检测和计数这些斑点可识别HPV感染，病毒载量，更重要的是，RNA表达作为宫颈癌发展的预测标志物。LAMPGel是一种灵敏、特异、易于使用和快速的方法，可用于医疗点（POC）平台，一旦该技术在这些国家的临床样本中得到进一步验证，就有可能在这些国家得到应用。此外，它在POC核酸分析中有更广泛的应用前景。

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引用次数: 0

Optimization of a portable ligand-free optical spectroscopy method for SARS-CoV-2 protein detection 便携式无配体光学光谱法检测SARS-CoV-2蛋白的优化

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-28 DOI: 10.1016/j.biosx.2025.100663

Fatin Hamimi Mustafa , Nik Yusnoraini Yusof , Mawaddah Mohd Azlan , Fariza Hanim Suhailin , Chan Yean Yean , Nik Mohd Noor Nik Zuraina , Mohd Zulkifli Salleh , Hironaga Uchida , Irneza Ismail , Rosline Hassan , Raja Kamarulzaman Raja Ibrahim , Mohd Adzir Mahdi

The rapid spread of COVID-19 has underscored the need for fast, portable, and reliable diagnostic tools. Conventional techniques such as polymerase chain reaction and emerging biosensors like surface plasmon resonance require complex procedures for ligand development and immobilization, which often involve probes, antibodies, or aptamers. This study proposes a ligand-free detection strategy based on optical spectroscopy for the rapid identification of the SARS-CoV-2 protein. The detection workflow includes two key phases: optimization and clinical validation. In the optimization phase, transmittance spectral measurements were conducted on SARS-CoV-2 protein to determine the optimal wavelength within the ultraviolet–visible–near infrared range (200–1100 nm). The most effective fiber configuration was also evaluated using three combinations of transmitter–receiver fiber diameters: 600–400 μm, 600–100 μm, and 200–400 μm. The optimal detection parameters were identified as 275 nm for wavelength and 600–400 μm for fiber configuration. Specificity testing confirmed complete discrimination between SARS-CoV-2 protein and other proteins, including SARS-CoV and rBmSXP, with 100 % specificity. Subsequently, clinical validation was conducted on 21 patients using the optimized parameters. Optical spectroscopy measurements were compared with real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR), yielding a correlation coefficient of 0.6038 with statistical significance (p < 0.01). These findings demonstrate the potential of portable, ligand-free optical spectroscopy for rapid SARS-CoV-2 detection at the point of care.

COVID-19的迅速蔓延凸显了对快速、便携和可靠诊断工具的需求。传统的技术，如聚合酶链反应和新兴的生物传感器，如表面等离子体共振，需要复杂的配体开发和固定程序，通常涉及探针，抗体或适体。本研究提出了一种基于光谱学的无配体检测策略，用于快速鉴定SARS-CoV-2蛋白。检测工作流程包括两个关键阶段：优化和临床验证。在优化阶段，对SARS-CoV-2蛋白进行透光光谱测量，确定其在紫外-可见-近红外（200-1100 nm）范围内的最佳波长。通过收发光纤直径的三种组合：600-400 μm、600-100 μm和200-400 μm，对最有效的光纤配置进行了评估。最佳检测参数为波长为275 nm，光纤结构为600 ~ 400 μm。特异性检测证实SARS-CoV-2蛋白与其他蛋白（包括SARS-CoV和rBmSXP）完全区分，特异性为100%。随后，采用优化后的参数对21例患者进行临床验证。光谱学测量值与实时定量逆转录聚合酶链反应（RT-qPCR）进行比较，相关系数为0.6038，具有统计学意义(p <；0.01)。这些发现证明了便携式、无配体光学光谱技术在护理点快速检测SARS-CoV-2的潜力。

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引用次数: 0

Molecular imprinting and nanomaterial synergy for lactate detection 乳酸检测的分子印迹和纳米材料协同作用

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-25 DOI: 10.1016/j.biosx.2025.100659

Christopher Animashaun , Gymama Slaughter

Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. This review provides a critical, comprehensive analysis of recent advances in MIP-based lactate sensing, with particular emphasis on hybrid systems that integrate conductive nanomaterials including gold and silver nanoparticles, laser-induced graphene, and reduced graphene oxide. These synergistic combinations leverage enhanced surface area, electrical conductivity, and molecular recognition to improve sensor sensitivity, selectivity, and long-term operational stability. Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing imprinting sensitivity and electron transfer efficiency. Application areas span real-time lactate monitoring in wearable health devices to environmental surveillance in complex matrices. Despite significant progress, challenges related to reproducibility, template removal efficiency, fouling resistance, and scalable manufacturing persist. The review concludes by outlining future directions, including integration into flexible and paper-based platforms, and the development of smart, implantable systems. With continued innovation, MIP-based lactate sensors are poised to become essential components in next-generation point-of-care diagnostics and environmental monitoring technologies.

基于分子印迹聚合物（MIP）的电化学传感器已经成为有前途的非酶平台，用于选择性和稳定地检测临床和环境相关的生物标志物。这篇综述对基于mip的乳酸传感技术的最新进展进行了批判性的全面分析，特别强调了将导电纳米材料（包括金纳米颗粒和银纳米颗粒）、激光诱导石墨烯和还原氧化石墨烯集成在一起的混合系统。这些协同组合利用增强的表面积、电导率和分子识别来提高传感器的灵敏度、选择性和长期运行稳定性。关键的制造策略，如电聚合，绿色纳米材料合成和表面印迹，严格审查其在优化印迹灵敏度和电子转移效率方面的作用。应用领域涵盖可穿戴健康设备的实时乳酸监测到复杂矩阵的环境监测。尽管取得了重大进展，但与可重复性、模板去除效率、抗结垢性和可扩展制造相关的挑战仍然存在。该综述最后概述了未来的发展方向，包括集成到灵活的纸质平台，以及开发智能的可植入系统。随着不断创新，基于mip的乳酸传感器将成为下一代即时诊断和环境监测技术的重要组成部分。

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引用次数: 0

Dry-printed carbon nanotube film based electrochemical immunosensor for total testosterone detection 基于干印碳纳米管薄膜的总睾酮检测电化学免疫传感器

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-25 DOI: 10.1016/j.biosx.2025.100660

Narender Kumar Joon, Jane Besong-Ndika, Elisa Mikkonen, Ville Rajala, Samuel Dulay, Ilkka Varjos

Testosterone (TST), a critical hormone for male health, requires precise monitoring due to the significant adverse effects of both deficiency and excess, including reproductive dysfunction, mood alterations, and metabolic imbalances. This study reports a novel electrochemical biosensor designed for rapid and sensitive point-of-care (POC) detection of total TST in serum samples. The sensing platform utilizes a cost-effective, roll-to-roll processed carbon nanotube (CNT) film as a scaffold. To create the biorecognition layer, bovine serum albumin-testosterone conjugate (BSA TST) was uniformly immobilized into the CNT film using an automated liquid dispensing system, enabling high-throughput and reproducible sensor fabrication. The biosensor employs a competitive immunoassay principle, where TST in the sample competes with immobilized BSA TST for the binding sites of antibody against TST horse-radish peroxidase conjugate (AbHRP). Amperometry at −0.2 V vs. Ag/AgCl ink was used to monitor affinity reaction upon addition of H₂O₂ with 3,3′,5,5′-Tetramethylbenzidine (TMB) redox mediator yielding a dynamic range of 82–1080 ng/dL. Limit of detection (LOD) and limit of quantification (LOQ) of 12.7 and 82 ng/dL were achieved respectively. Validation in spiked human serum demonstrated excellent performance, with quantifiable results aligning well with the established physiological range of TST in healthy males (186–1180 ng/dL), highlighting the potential of this biosensor for clinical applications.

睾酮（TST）是一种对男性健康至关重要的激素，由于缺乏和过量的显著不利影响，包括生殖功能障碍、情绪改变和代谢失衡，需要精确监测。本研究报道了一种新型电化学生物传感器，用于快速、灵敏的即时（POC）检测血清样本中的总TST。该传感平台采用了一种具有成本效益的、卷对卷加工的碳纳米管（CNT）薄膜作为支架。为了制造生物识别层，使用自动液体分配系统将牛血清白蛋白-睾酮偶联物（BSA TST）均匀固定在碳纳米管薄膜中，实现高通量和可重复的传感器制造。该生物传感器采用竞争性免疫测定原理，其中样品中的TST与固定化的BSA TST竞争抗TST马萝卜过氧化物酶偶联物（AbHRP）抗体的结合位点。采用−0.2 V对Ag/AgCl墨水的电流法监测H2O2与3,3 ',5,5 ' -四甲基联苯胺（TMB）氧化还原介质的亲和反应，动态范围为82-1080 ng/dL。检测限为12.7 ng/dL，定量限为82 ng/dL。在加标人血清中的验证显示出优异的性能，可量化的结果与健康男性TST的既定生理范围（186-1180 ng/dL）非常吻合，突出了该生物传感器在临床应用中的潜力。

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引用次数: 0

Advanced analysis of fully-printed organic transistors platform for multi-ion detection in sweat 汗液中多离子检测全印刷有机晶体管平台的先进分析

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-25 DOI: 10.1016/j.biosx.2025.100661

Silvia Demuru , Jaemin Kim , Ilya Kiselev , Guillaume Joël Jeanneret-Grosjean , Brince Paul Kunnel , Min Liu , Xi Chen , Mathieu Saubade , Celine Lafaye , Shih-Chii Liu , Danick Briand

引用次数: 0

Feasibility study of a smart insole with triboelectric energy harvesters for early flatfoot detection 带摩擦电能量采集器的智能鞋垫早期平足检测的可行性研究

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-07 DOI: 10.1016/j.biosx.2025.100649

Mohammad Alghamaz, Leila Donyaparastlivari, Alwathiqbellah Ibrahim, Nelson Fumo

This study introduces a self-powered smart insole system designed for real-time monitoring of foot health, with a specific focus on detecting flatfoot conditions. The insole integrates multiple identical triboelectric energy harvesters strategically positioned to capture electrical signals generated from ground reaction forces during daily activities such as walking, jogging, and running. Proof-of-concept testing was conducted on a single participant under two conditions: a healthy foot and a simulated flatfoot created by reducing the medial arch height by approximately 70%. In the healthy foot trials, the system demonstrated consistent and reliable performance, with negligible electrical output from the medial arch sensor due to minimal ground contact in this region. In contrast, the simulated flatfoot condition produced a significant increase in voltage output from the medial arch sensor, successfully identifying the abnormal foot mechanics associated with arch collapse. Additionally, a neural network was implemented to classify healthy and flatfoot conditions from the collected data, achieving an accuracy of 86% and a precision of 96%, demonstrating the feasibility of machine learning integration for automated flatfoot detection. Overall, the findings validate the smart insole’s capability as a promising tool for continuous foot health monitoring, early diagnosis of flatfoot, and future applications in personalized rehabilitation and preventative care.

本研究介绍了一种自供电智能鞋垫系统，旨在实时监测足部健康，特别关注检测平足状况。鞋垫集成了多个相同的摩擦电能量收集器，策略性地定位于捕获日常活动（如散步，慢跑和跑步）中地面反作用力产生的电信号。在两种情况下对单个参与者进行了概念验证测试：健康足和通过将内侧足弓高度降低约70%而产生的模拟扁平足。在健康足部试验中，该系统表现出一致和可靠的性能，由于该区域最小的地面接触，内侧足弓传感器的电输出可以忽略不计。相比之下，在模拟的平足条件下，内侧足弓传感器输出的电压显著增加，成功地识别出与足弓塌陷相关的异常足部力学。此外，利用神经网络从收集的数据中对健康和平底足进行分类，准确率分别为86%和96%，证明了机器学习集成用于自动平底足检测的可行性。总的来说，研究结果验证了智能鞋垫作为一种有前途的工具的能力，可以持续监测足部健康，早期诊断扁平足，以及未来在个性化康复和预防性护理中的应用。

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引用次数: 0

Triple-mode point-of-care diagnostics for high-risk human papillomavirus in urine 尿中高危人乳头瘤病毒的三模式即时诊断

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-07 DOI: 10.1016/j.biosx.2025.100658

Duc Anh Thai , Jing Liu , Angel Gutierrez Ruiz , Yuqian Zhang , Marina Walther-Antonio , Yuguang Liu

Human papillomavirus (HPV) screening is crucial for early diagnosis and prevention of cervical cancer, yet fast and convenient HPV detection remains challenging, especially in resource-limited areas. Herein, we developed a nucleic acid test named SSMG-LAMP, which combined loop-mediated isothermal amplification (LAMP) with an engineered DNA indicator (SYBR Safe – Malachite Green) for the point-of-care diagnosis of high-risk HPV strains (HPV 16 and 18) in urine. The assay can be completed within 45 min, including DNA extraction, SSMG-LAMP reaction, and signal readout using a simple, portable system. This system enabled the triple-mode detection of DNA targets using colorimetry, fluorometry, and electrochemistry, and can detect as low as 10 copies μL⁻¹ HPV DNA. As a preliminary validation, we used SSMG-LAMP for a blind test of 16 clinical urine samples to detect HPV 16 and 18, and results showed a sensitivity of >80 % and specificity of up to 96.2 %, with a 95 % confidence interval. This triple-mode HPV detection strategy holds potential for point-of-care cervical cancer screening in low-resource settings.

人乳头瘤病毒（HPV）筛查对于宫颈癌的早期诊断和预防至关重要，但快速方便的HPV检测仍然具有挑战性，特别是在资源有限的地区。在此，我们开发了一种名为SSMG-LAMP的核酸检测方法，将环介导的等温扩增（LAMP）与工程DNA指示剂（SYBR Safe -孔雀石绿）相结合，用于尿中高危HPV毒株（HPV 16和18）的即时诊断。该分析可在45分钟内完成，包括DNA提取、SSMG-LAMP反应和信号读取，使用简单的便携式系统。该系统能够使用比色法、荧光法和电化学对DNA靶标进行三模式检测，并且可以检测低至10拷贝μL−1的HPV DNA。作为初步验证，我们使用SSMG-LAMP对16份临床尿液样本进行盲检，检测HPV 16和18，结果显示敏感性为80%，特异性高达96.2%，置信区间为95%。这种三模式HPV检测策略在低资源环境中具有即时宫颈癌筛查的潜力。

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引用次数: 0

Electrochemical immunosensors targeting hormonal biomarkers for polycystic ovary syndrome: Recent advances and analytical bottlenecks 针对多囊卵巢综合征激素生物标志物的电化学免疫传感器：最新进展和分析瓶颈

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-05 DOI: 10.1016/j.biosx.2025.100657

Aniket Nandi , Samuel W. Gillespie , S. Nick Ice , Divyanshi Thakur , Yash Kumar Gaur , Kamal Singh , Kalicharan Sharma

Polycystic Ovary Syndrome (PCOS) is a multifactorial endocrine disorder affecting up to 13 % of women of reproductive age, with nearly 70 % remaining undiagnosed due to the limitations of conventional diagnostic methods. These traditional approaches, based on imaging, hormonal assays, and symptom evaluation, are often delayed, nonspecific, and unsuitable for large-scale screening. Recent advances in electrochemical biosensors targeting hormonal biomarkers such as Anti-Müllerian Hormone (AMH), Sex Hormone-Binding Globulin (SHBG), and Follicle-Stimulating Hormone (FSH) offer a promising alternative for rapid, sensitive, and cost-effective PCOS diagnosis. This review critically evaluates electrochemical biosensor technologies developed in last five years for the detection of PCOS, discussing material choices, electrode fabrication strategies, signal transduction techniques (EIS, DPV, CV), and their analytical performance. Key limitations in analytical design, clinical validation, and commercialization are identified, including challenges with multiplexed detection, stability in real biological matrices, and scalability. Finally, solution strategies and future research directions are proposed to bridge the gap between laboratory innovation and real-world point-of-care diagnostic tools for PCOS.

多囊卵巢综合征（PCOS）是一种多因素内分泌疾病，影响多达13%的育龄妇女，由于传统诊断方法的限制，近70%的妇女未被诊断出来。这些基于影像学、激素检测和症状评估的传统方法往往是延迟的、非特异性的，不适合大规模筛查。针对激素生物标志物的电化学生物传感器的最新进展，如抗勒氏激素（AMH），性激素结合球蛋白（SHBG）和促卵泡激素（FSH），为快速，敏感和经济的多囊卵巢综合征诊断提供了一个有希望的替代方法。本文综述了近五年来用于PCOS检测的电化学生物传感器技术，讨论了材料选择、电极制造策略、信号转导技术（EIS、DPV、CV）及其分析性能。分析设计、临床验证和商业化的关键限制被确定，包括多重检测的挑战、真实生物基质的稳定性和可扩展性。最后，提出了解决方案策略和未来的研究方向，以弥合实验室创新与现实世界的PCOS即时诊断工具之间的差距。

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引用次数: 0

CIRCA: Circadian inference of rhythmicity using comparative analysis from non-invasive continuous measurements of cortisol and melatonin in passive perspiration CIRCA：利用被动排汗中皮质醇和褪黑激素的无创连续测量的比较分析来推断节律性

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology

Biosensors and Bioelectronics: X

Pub Date : 2025-07-04 DOI: 10.1016/j.biosx.2025.100656

Annapoorna Ramasubramanya , Preeti Singh , Kai-Chun Lin , Shalini Prasad , Sriram Muthukumar

Cortisol and melatonin exhibit distinct circadian rhythms crucial for the regulation of stress and sleep-wake cycles. Precise and continuous evaluation of differential rhythmicity is essential for understanding and managing circadian health; however, current methods using salivary samples are inconvenient for continuous use and dynamic monitoring. In this work, we demonstrate the continuous and dynamic monitoring of cortisol and melatonin using a sweat based wearable sensor based on passive perspiration. Salivary levels mapped with sweat concentrations at sample collection times exhibited strong relationships (Pearson r = 0.92 for cortisol and r = 0.90 for melatonin), and Bland-Altman analysis verified matrix agreement (mean bias close to zero with narrow limits of agreement of −6.09 to 5.94 ng/mL for cortisol and −7.54 to 10.77 pg/mL for melatonin). CircaCompare was used to establish differential rhythmicity, and the results showed two separate peak phases: melatonin at 2AM and cortisol at 8AM when aggregated for all subjects; however, the phases and amplitudes shifted when the results were analyzed by age and by sex validating the dynamic expressions vary by subject and the importance of continuous monitoring of these circadian biomarkers. This study is the first to demonstrate that a passive perspiration based biosensing that continuously measures cortisol and melatonin would help stratify age-related and potentially environment/life-style related changes in hormonal phase and amplitude expression of the circadian biomarkers. Our research establishes sweat as an effective alternative to saliva for endocrine monitoring, facilitating tailored circadian health management, wearable chronotherapy, and continuous hormonal diagnostics.

皮质醇和褪黑激素表现出独特的昼夜节律，对调节压力和睡眠-觉醒周期至关重要。精确和连续地评估差异节律对于理解和管理昼夜健康至关重要；然而，目前使用唾液样本的方法不方便连续使用和动态监测。在这项工作中，我们展示了使用基于被动排汗的汗液可穿戴传感器连续动态监测皮质醇和褪黑激素。唾液水平与汗液浓度在样本采集时间的映射显示出很强的相关性（皮质醇的Pearson r = 0.92，褪黑激素的r = 0.90）， Bland-Altman分析验证了矩阵一致性（平均偏差接近于零，皮质醇的一致性范围为- 6.09至5.94 ng/mL，褪黑激素的一致性范围为- 7.54至10.77 pg/mL）。circaccompare被用来建立不同的节律性，结果显示两个不同的峰值阶段：当所有受试者聚集在一起时，褪黑激素在凌晨2点和皮质醇在早上8点；然而，当按年龄和性别分析结果时，相位和振幅发生了变化，验证了动态表达因受试者而异，以及持续监测这些昼夜节律生物标志物的重要性。这项研究首次证明，一种基于被动汗液的生物传感技术可以持续测量皮质醇和褪黑激素，这将有助于分层与年龄相关和潜在的环境/生活方式相关的昼夜节律生物标志物的激素阶段和振幅表达的变化。我们的研究确立了汗液作为内分泌监测的有效替代唾液，促进量身定制的昼夜健康管理，可穿戴计时疗法和持续的激素诊断。

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引用次数: 0