Reusable, flexible, facile, and economical SERS substrates based on rose petal replicas for pesticide detection

Sammi, Heena; Sardana, Neha

doi:10.1016/j.sna.2023.114638

Cited by 1 publication

(1 citation statement)

References 42 publications

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“…Polydimethylsiloxane (PDMS) is a polymer widely used in the preparation of SERS substrates, which has good flexibility, elasticity, and transmittance. What's more, PDMS can highly reproduce the surface pattern of the template in the replication and transfer technology [21]. Due to the ability of transparent PDMS to bond with curved and rough surfaces, it has been shown to enable in-situ monitoring of chemical information on the surface of cucumbers and apples [22,23].…”

Section: Introductionmentioning

confidence: 99%

Preparation and investigation of high-performance flexible and transparent Ag/PDMS substrate with the bionic structure of cicada wings

He,

Wang,

Luo

et al. 2024

Laser Phys.

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In this study, an efficient, homogeneous, flexible and transparent Ag/Polydimethylsiloxane (PDMS) substrate with an orderly three-dimensional nanopillar structure was proposed. Ag NPs were thermally deposited on the flexible bionic PDMS support obtained by a two-step replication of cicada wings. Scanning electron microscope images reveal when the deposition time was 50 min, Ag NPs of proper size densely covered the entire PDMS nanopillar surface in the Ag-50/PDMS substrate. Both the gaps between the Ag NPs and those between the nanopillars acted as efficient electric field amplifiers. The enhancement factor (EF) of the Ag-50/PDMS substrate was calculated to be 2.89 × 107 by using crystal violet as the probe molecule. The Ag-50/PDMS substrate also exhibited good uniformity and reproducibility with a relative standard deviation of 1.46% and 11.45% respectively. The detection capability of the proposed flexible and transparent Ag-50/PDMS substrate in practical applications was demonstrated by the in-situ detection of 0.1 ppm malachite green on fish surfaces, indicating its great potential in the field of food monitoring.

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Section: Introductionmentioning

confidence: 99%