Abstract
Surface-enhanced Raman scattering (SERS) is a powerful and sensitive technique for the detection of fingerprint signals of molecules and for the investigation of a series of surface chemical reactions. Many studies introduced quantitative applications of SERS in various fields, and several SERS methods have been implemented for each specific application, ranging in performance characteristics, analytes used, instruments, and analytical matrices. In general, very few methods have been validated according to international guidelines. As a consequence, the application of SERS in highly regulated environments is still considered risky, and the perception of a poorly reproducible and insufficiently robust analytical technique has persistently retarded its routine implementation. Collaborative trials are a type of interlaboratory study (ILS) frequently performed to ascertain the quality of a single analytical method. The idea of an ILS of quantification with SERS arose within the framework of Working Group 1 (WG1) of the EU COST Action BM1401 Raman4Clinics in an effort to overcome the problematic perception of quantitative SERS methods. Here, we report the first interlaboratory SERS study ever conducted, involving 15 laboratories and 44 researchers. In this study, we tried to define a methodology to assess the reproducibility and trueness of a quantitative SERS method and to compare different methods. In our opinion, this is a first important step toward a "standardization" process of SERS protocols, not proposed by a single laboratory but by a larger community.
Original language | English |
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Pages (from-to) | 4053-4064 |
Number of pages | 12 |
Journal | Analytical Chemistry |
Volume | 92 |
Issue number | 5 |
Early online date | 11 Feb 2020 |
DOIs | |
Publication status | Published - 3 Mar 2020 |
Funding
This article is based upon work from EU COST Action Raman4Clinics – Raman-based applications for clinical diagnostics (BM1401), supported by COST (European Cooperation in Science and Technology) – www.cost.eu . The authors would like to thank the COST Action Grant Holder, the Leibniz Institute of Photonic Technology, and in particular Prof. Jürgen Popp (as the Grant Holder Scientific Representative) and Gabriele Hamm for the help and support in the organization of the Raman4Clinics events related to the present study. S.F. acknowledges support from IRCCS Burlo Garofolo, Trieste. L.A.B.C. and M.P.M.M. acknowledge the Portuguese Foundation for Science and Technology (Project UID/Multi/00070/2019). C.N, A.C., and F.G. acknowledge the Piedmont Region, Italy in the frame of the projects POR FESR “DEFLECT” (ID nr 10808-178675264) and “Food Drug Free” (ID nr 12866-2074-64512). T.R. acknowledges that his work was financially supported by the Danish National Research Foundation (Project DNRF122) and Villum Fonden (Grant No. 9301).
Keywords
- surface-enhanced Raman scattering
- SERS
- interlaboratory study
- standardization
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Dataset for Surface Enhanced Raman Spectroscopy for quantitative analysis: results of a large-scale European multi-instrument interlaboratory study
Fornasaro, S. (Creator), Alsamad, F. (Contributor), Baia, M. (Contributor), Batista De Carvalho, L. A. E. (Contributor), Beleites, C. (Contributor), Byrne, H. J. (Contributor), Chiadò, A. (Contributor), Chis, M. (Contributor), Chisanga, M. (Contributor), Daniel, A. (Contributor), Dybas, J. (Contributor), Eppe, G. (Contributor), Falgayrac, G. (Contributor), Faulds, K. (Contributor), Gebavi, H. (Contributor), Giorgis, F. (Contributor), Goodacre, R. (Contributor), Graham, D. (Contributor), La Manna, P. (Contributor), Laing, S. (Contributor), Litti, L. (Contributor), Lyng, F. M. (Contributor), Malek, K. (Contributor), Malherbe, C. (Contributor), Marques, M. P. M. (Contributor), Meneghetti, M. (Contributor), Mitri, E. (Contributor), Mohaček-Grošev, V. (Contributor), Morasso, C. (Contributor), Muhamadali, H. (Contributor), Musto, P. (Contributor), Novara, C. (Contributor), Pannico, M. (Contributor), Penel, G. (Contributor), Piot, O. (Contributor), Rindzevicius, T. (Contributor), Rusu, E. A. (Contributor), Schmidt, M. S. (Contributor), Sergo, V. (Contributor), Sockalingum, G. D. (Contributor), Untereiner, V. (Contributor), Vanna, R. (Contributor), Wiercigroch, E. (Contributor) & Bonifacio, A. (Contributor), Zenodo, 11 May 2023
Dataset