Laghrissi Ayoub, Rubahn Horst-Günter, Fiutowski Jacek
Mads Clausen Institute, NanoSYD, University of Southern Denmark (SDU), Alsion 2, 6400 Sønderborg, Denmark.
ACS Omega. 2025 Aug 19;10(34):38474-38479. doi: 10.1021/acsomega.5c02016. eCollection 2025 Sep 2.
Detection of micro- and nanoplastic particles at extremely low concentrations in complex matrices is a critical goal in environmental science and regulatory frameworks. Surface-enhanced Raman spectroscopy (SERS) offers unique advantages for detecting molecular species in such mixtures, relying solely on their characteristic fingerprints. However, its application for plastic particles has been constrained due to weak analyte-substrate interactions. Here, we demonstrate a fabrication proof of concept where gold nanoparticles are synthesized directly onto polystyrene (PS) beads, creating hybrid bead structures specifically designed as substrate-free digital SERS (dSERS). This approach allows direct optical detection of the bead fingerprint, highlighting the interplay between bead fabrication and detection. Based on these findings, we anticipate that substrate-free dSERS will emerge as the method of choice for reliable and ultrasensitive detection of a wide range of analytes, laying the groundwork for a "facial recognition-like" approach to plastic identification.
在复杂基质中检测极低浓度的微塑料和纳米塑料颗粒是环境科学和监管框架中的一个关键目标。表面增强拉曼光谱(SERS)在检测此类混合物中的分子种类方面具有独特优势,仅依靠其特征指纹即可。然而,由于分析物与底物之间的相互作用较弱,其在塑料颗粒检测中的应用受到了限制。在此,我们展示了一个制造概念验证,即金纳米颗粒直接合成在聚苯乙烯(PS)珠上,创建了专门设计为无底物数字SERS(dSERS)的混合珠结构。这种方法允许直接光学检测珠子指纹,突出了珠子制造与检测之间的相互作用。基于这些发现,我们预计无底物dSERS将成为可靠且超灵敏检测各种分析物的首选方法,为塑料识别的“面部识别式”方法奠定基础。