Hang Pan, Yan Zhao, Chuping Zhang, Huijuan Zhang, Liye Zhu, Mengyuan Wang, Jidong Liu, Zhiyang Xu, Wenting Pan, Xinlong Yan, Tianrui Zhai, Yijian Jiang, Yinzhou Yan
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引用次数: 0
Abstract
The challenge to ultrasensitive surface-enhanced Raman spectroscopy (SERS) has to trade off the detection sensitivity and storage stability for the sophisticated SERS substrates. The tunable surface wettability is hence critical to switch the capture mode for detection and protection state for antifouling storage. However, surface-wettability-tunable substrates generally require reversible electric-, light-, temperature- or pH-sensitive properties to regulate the substrate nanostructures and chemical properties, for which complicated operation procedures are inevitable. Here, an elastomeric fluorophlogopite SERS substrate composed of a hierarchical micropillar-nanostructure array is reported by femtosecond(fs)-laser nanofabrication. The wettability of the substrate is reversibly tuned by mechanical strain from the free superhydrophobic surface (156°) in Cassie state to the compressive hydrophilic one (76°) in Wenzel state. The wettability-controllable surface facilitates to capture of target molecules for limit of detection down to 0.1fM@5 µL with the enhancement factor of 2.46 × 1012 for Rhodamine 6G, of which the standard deviation is 7.8%, indicating good homogeneity. The developed elastomeric SERS substrate not only demonstrates the anti-pollution for long-term storage but also provides a simple way to switch the surface wettability for ultrasensitive Raman detection, holding promise for ultrasensitive clinical and biological SERS in future.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.