2021
DOI: 10.1021/acsami.1c08712
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Highly Sensitive and Reproducible SERS Substrates Based on Ordered Micropyramid Array and Silver Nanoparticles

Abstract: The construction of a highly sensitive and reproducible surface-enhanced Raman scattering (SERS) substrate is the key factor that restricts its practical application. In this paper, a three-dimensional (3D) SERS substrate based on ordered micropyramid array and silver nanoparticles (MPA/AgNPs 3D-SERS) was constructed using the roll-to-plate embossing technology and a hydrothermal method, which provided an efficient and low-cost preparation process for the SERS substrate. Using rhodamine 6G (R6G) as a probe mol… Show more

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Cited by 115 publications
(70 citation statements)
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“…First, the main problem is in measuring Raman spectra and applying this method for the quantitative analysis of a substance is associated with the inhomogeneous distribution of “hot spots” on the surface of the substrate, which contributes to significant changes in the reproducibility of the SERS signal. This problem of the preparation of SERS-active substrates is described by many authors who offer their solutions [ 218 , 219 , 220 ]; however, it has not yet been possible to develop a fundamentally new scheme for the fabrication of nanocomposite materials with the ideally uniform distribution of hot spots. Moreover, much attention needs to be paid to the study of a wider range of molecules of different origins, which find their application in life science [ 221 ].…”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%
“…First, the main problem is in measuring Raman spectra and applying this method for the quantitative analysis of a substance is associated with the inhomogeneous distribution of “hot spots” on the surface of the substrate, which contributes to significant changes in the reproducibility of the SERS signal. This problem of the preparation of SERS-active substrates is described by many authors who offer their solutions [ 218 , 219 , 220 ]; however, it has not yet been possible to develop a fundamentally new scheme for the fabrication of nanocomposite materials with the ideally uniform distribution of hot spots. Moreover, much attention needs to be paid to the study of a wider range of molecules of different origins, which find their application in life science [ 221 ].…”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%
“…The Surface‐enhancement Raman scattering (SERS) has developed rapidly in recent years, [ 1–3 ] which could significantly enlarge the signal of conventional Raman test, achieve trace detection, and even single‐molecule detection. [ 4 ] Because of its unique fingerprint peak characteristics, non‐destructive testing, fast response, and other advantages, [ 5,6 ] it is widely used in environmental monitoring, [ 7,8 ] food safety, [ 9–11 ] biomedicine, and other fields. [ 12–14 ]…”
Section: Introductionmentioning
confidence: 99%
“…
enlarge the signal of conventional Raman test, achieve trace detection, and even single-molecule detection. [4] Because of its unique fingerprint peak characteristics, non-destructive testing, fast response, and other advantages, [5,6] it is widely used in environmental monitoring, [7,8] food safety, [9][10][11] biomedicine, and other fields. [12][13][14] So far, there is no clear theoretical model that can explain the complex SERS phenomenon.However, electromagnetic enhancement (EM) and chemical enhancement (CM) are two kinds of SERS mechanisms that are generally accepted by the academic community.
…”
mentioning
confidence: 99%
“…Metallic nanoparticles (MNPs), in particular, are commonly used to create SERS-active substrates due to their confined localized SPR (LSPR) upon wavelength-specific light excitation [ 16 ]. Despite the multiple advantages offered by MNP-based SERS substrates, including their low cost and ease of fabrication, reproducibility still remains a challenge [ 17 , 18 ]. The nanoplasmonic capabilities of nanohole arrays (NHAs) have been theoretically predicted and demonstrated through FDTD simulations [ 19 , 20 ] and experimentation [ 3 , 21 ].…”
Section: Introductionmentioning
confidence: 99%