Chemometric-assisted surface-enhanced Raman spectroscopy for metformin determination using gold nanoparticles as substrate

Rafael C Castro; David S M Ribeiro; João L M Santos; Cláudia Nunes; Salette Reis; Ricardo N M J Páscoa

doi:10.1016/j.saa.2022.122118

Chemometric-assisted surface-enhanced Raman spectroscopy for metformin determination using gold nanoparticles as substrate

Spectrochim Acta A Mol Biomol Spectrosc. 2023 Feb 15;287(Pt 2):122118. doi: 10.1016/j.saa.2022.122118. Epub 2022 Nov 14.

Authors

Rafael C Castro¹, David S M Ribeiro², João L M Santos³, Cláudia Nunes¹, Salette Reis¹, Ricardo N M J Páscoa⁴

Affiliations

¹ LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira n ° 228, 4050-313 Porto, Portugal.
² LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira n ° 228, 4050-313 Porto, Portugal. Electronic address: dsmribeiro@gmail.com.
³ LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira n ° 228, 4050-313 Porto, Portugal. Electronic address: joaolms@ff.up.pt.
⁴ LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira n ° 228, 4050-313 Porto, Portugal. Electronic address: rnpascoa@ff.up.pt.

PMID: 36401918
DOI: 10.1016/j.saa.2022.122118

Abstract

A fast, simple, and reliable method for determination of metformin was developed by coupling surface-enhanced Raman spectroscopy (SERS) with chemometric methods. This relayed on the utilization of a portable Raman spectrometer and of citrate stabilized gold nanoparticles (AuNPs) as substrate, to carry out the measurement of SERS scattering signals, thus assuring improved sensitivity. The obtained datasets were analysed using principal component analysis (PCA) and partial least squares (PLS) regression. Upon optimization of the PLS model, in terms of latent variables, spectral region and pre-processing techniques, RMSECV and R²_CV values of 0.42 mg/L and 0.94, respectively, were obtained. The optimized PLS regression model was further validated with the projection of commercial pharmaceutical samples, providing good results in terms of R²_P (0.97), RE (4.54 %) and analytical sensitivity (2.13 mg/L).

Keywords: Chemometrics; Gold nanoparticles; Metformin; Quality control; Surface-enhanced Raman spectroscopy.

MeSH terms

Chemometrics
Gold
Metal Nanoparticles*
Metformin*
Spectrum Analysis, Raman

Substances

Gold
Metformin