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具有本征拉曼信号的仿生表面增强 Raman 散射基底用于农药残留的交互式 SERS 检测。

Bioinspired surface-enhanced Raman scattering substrate with intrinsic Raman signal for the interactive SERS detection of pesticides residues.

机构信息

Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo, Zhejiang 315211, PR. China.

Department of Food Science and Engineering, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, Zhejiang 315832, PR China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2022 Apr 5;270:120800. doi: 10.1016/j.saa.2021.120800. Epub 2021 Dec 25.

Abstract

Although biomimetic surface enhanced Raman scattering (SERS) substrate which makes use of naturally existing raw materials have been fully utilized, it remains challenging to achieve credible quantitative detection. Herein, nanoimprint technology was exploited to engineer internal standard (IS) enabled quantitative flexible biomimetic SERS substrates, in which polydimethylsiloxane (PDMS) with intrinsic Raman signal was utilized as a tool to reversely duplicate surface structures from different agriculture products and then deposited with Ag nanoparticles. The resultant four kinds of biomimetic SERS substrates with different surface geometries all permit highly sensitive assay with enhancement factors (EFs) of about 10 in both drop-dry and in situ SERS detection modes. Moreover, the quantitative degree in the SERS detection was effectively corrected based on the IS strategy. Finally, an ingenious interactive in situ SERS detection was conducted. Interestingly, the maximum recovery rate was achieved when the template food was used as target surface compared with other foods, indicating the significance of manufacturing the highly conformed SERS-active structure from the surface to be tested. The proposed quantitative biomimetic SERS substrate is expected to be widely used in the field of biochemical supervision.

摘要

尽管利用天然存在的原材料的仿生表面增强拉曼散射 (SERS) 基底已经得到充分利用,但实现可靠的定量检测仍然具有挑战性。在此,利用纳米压印技术对内部标准 (IS) 启用的定量柔性仿生 SERS 基底进行了工程设计,其中具有固有拉曼信号的聚二甲基硅氧烷 (PDMS) 被用作从不同农产品表面反向复制结构的工具,然后沉积 Ag 纳米粒子。所得的四种具有不同表面几何形状的仿生 SERS 基底都允许在滴干和原位 SERS 检测模式下以约 10 的增强因子 (EF) 进行高灵敏度检测。此外,通过 IS 策略有效地校正了 SERS 检测的定量程度。最后,进行了巧妙的交互式原位 SERS 检测。有趣的是,与其他食物相比,当将模板食物用作目标表面时,达到了最大回收率,表明从待检测表面制造高度一致的 SERS 活性结构的重要性。所提出的定量仿生 SERS 基底有望在生化监测领域得到广泛应用。

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