{"title":"Fluid Domain-Limited Ag Nanoparticles on Janus Fabric for SERS-Based Label-Free Sweat Detection","authors":"Jiaji Hou, , , Fengyan Ge*, , , Haixia Jiang, , , Weiguang Liu, , , Chaofan Li, , and , Xin Yan, ","doi":"10.1021/acssensors.5c03396","DOIUrl":null,"url":null,"abstract":"<p >Flexible wearable biosensors enable dynamic tracking of biomarkers in sweat through noninvasive sampling. Surface-enhanced Raman spectroscopy (SERS) utilizes the “fingerprint” vibrations of molecular vibration spectra to simultaneously analyze multiple substances, facilitating the identification of complex analytes. In this study, we integrated a Janus fabric with efficient wearable moisture management properties with silver (Ag) nanoparticles to develop an SERS sensor for human sweat detection. The hydrophobic side of the Janus fabric was designed to contact the skin, while hydrophobic patterns were printed on the opposite side to enable the efficient enrichment of target molecules. Rapid sweat transport was achieved through a combination of a hydrophilic–hydrophobic interfacial design. The moisture management capability and SERS enhancement mechanism of the platform were further explained through simulation. Moreover, the platform demonstrated the successful detection of real human sweat samples. This work is expected not only to provide a novel approach for the fabrication and preparation of the SERS active fabric with excellent performance but also to promote the theoretical basis and technical support for the research of textile on rapid detection in highly diluted biochemical samples.</p>","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"10 10","pages":"8140–8150"},"PeriodicalIF":9.1000,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssensors.5c03396","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Flexible wearable biosensors enable dynamic tracking of biomarkers in sweat through noninvasive sampling. Surface-enhanced Raman spectroscopy (SERS) utilizes the “fingerprint” vibrations of molecular vibration spectra to simultaneously analyze multiple substances, facilitating the identification of complex analytes. In this study, we integrated a Janus fabric with efficient wearable moisture management properties with silver (Ag) nanoparticles to develop an SERS sensor for human sweat detection. The hydrophobic side of the Janus fabric was designed to contact the skin, while hydrophobic patterns were printed on the opposite side to enable the efficient enrichment of target molecules. Rapid sweat transport was achieved through a combination of a hydrophilic–hydrophobic interfacial design. The moisture management capability and SERS enhancement mechanism of the platform were further explained through simulation. Moreover, the platform demonstrated the successful detection of real human sweat samples. This work is expected not only to provide a novel approach for the fabrication and preparation of the SERS active fabric with excellent performance but also to promote the theoretical basis and technical support for the research of textile on rapid detection in highly diluted biochemical samples.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.