{"title":"Ultrasensitive, self-calibrating cortisol immunosensor enabled by dual-modal CuMOF-PEI@AuNPs@HRP immunoreceptor.","authors":"Xinyi Wang, Minghao Wang, Wenbin Zhang, Dewang Yan, Liubing Kong, Gaofeng Wang","doi":"10.1016/j.talanta.2026.130164","DOIUrl":null,"url":null,"abstract":"<p><p>Accurate cortisol monitoring is essential for stress assessment and health management, yet reliable quantification remains challenging because signal fluctuations and matrix effects can compromise the performance of conventional single-mode immunosensors. Herein, we developed a fluorescence-colorimetric (FL-CL) dual-modal immunosensor based on a CuMOF-PEI@AuNPs@HRP (CPA) immunoreceptor for cortisol determination. The integrated sensing architecture generates correlated fluorescence and colorimetric responses from the same recognition event, which are combined through a normalized dual-signal output to improve calibration reliability. Under optimized conditions, the proposed sensor exhibited a detection limit of 0.22 ng/mL and a linear range of 3.1-200 ng/mL, covering physiologically relevant cortisol concentrations in saliva. Compared with single-modal assays and commercial kits, the proposed platform demonstrates enhanced sensitivity, improved correlation, good stability, and batch reproducibility. By integrating signal amplification, dual-modal readout, and simplified immunoreceptor fabrication within a single sensing platform, this work provides a reliable strategy for cortisol monitoring and offers potential for extension to other biomarker detection systems.</p>","PeriodicalId":435,"journal":{"name":"Talanta","volume":"310 ","pages":"130164"},"PeriodicalIF":6.7000,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Talanta","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.talanta.2026.130164","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate cortisol monitoring is essential for stress assessment and health management, yet reliable quantification remains challenging because signal fluctuations and matrix effects can compromise the performance of conventional single-mode immunosensors. Herein, we developed a fluorescence-colorimetric (FL-CL) dual-modal immunosensor based on a CuMOF-PEI@AuNPs@HRP (CPA) immunoreceptor for cortisol determination. The integrated sensing architecture generates correlated fluorescence and colorimetric responses from the same recognition event, which are combined through a normalized dual-signal output to improve calibration reliability. Under optimized conditions, the proposed sensor exhibited a detection limit of 0.22 ng/mL and a linear range of 3.1-200 ng/mL, covering physiologically relevant cortisol concentrations in saliva. Compared with single-modal assays and commercial kits, the proposed platform demonstrates enhanced sensitivity, improved correlation, good stability, and batch reproducibility. By integrating signal amplification, dual-modal readout, and simplified immunoreceptor fabrication within a single sensing platform, this work provides a reliable strategy for cortisol monitoring and offers potential for extension to other biomarker detection systems.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.