Label free detection of multiple trace antibiotics with SERS substrates and independent components analysis

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dc.contributor.authorLimwichean, Saksorn
dc.contributor.authorLeung, Wipawanee
dc.contributor.authorSataporncha, Pemika
dc.contributor.authorHoungkamhang, Nongluck
dc.contributor.authorNimittrakoolchai, On Uma
dc.contributor.authorSaekow, Bunpot
dc.contributor.authorPogfay, Tawee
dc.contributor.authorSomboonsaksri, Pacharamon
dc.contributor.authorChia, Jia Yi
dc.contributor.authorBotta, Raju
dc.contributor.authorHorprathum, Mati
dc.contributor.authorPorntheeraphat, Supanit
dc.contributor.authorNuntawong, Noppadon
dc.date.accessioned2026-08-06T10:41:56Z
dc.date.available2026-08-06T10:41:56Z
dc.date.issued2023-07-05
dc.description.abstractSurface enhanced Raman spectroscopy (SERS) has been widely studied and recognized as a powerful label-free technique for trace chemical analysis. However, its drawback in simultaneously identifying several molecular species has greatly limited its real-world applications. In this work, we reported a combination between SERS and independent component analysis (ICA) to detect several trace antibiotics which are commonly used in aquacultures, including malachite green, furazolidone, furaltadone hydrochloride, nitrofurantoin, and nitrofurazone. The analysis results indicate that the ICA method is highly effective in decomposing the measured SERS spectra. The target antibiotics could be precisely identified when the number of components and the sign of each independent component loading were properly optimized. With SERS substrates, the optimized ICA can identify trace molecules in a mixture at a concentration of 10<sup>−6</sup> M achieving the correlation values to the reference molecular spectra of 71–98%. Furthermore, measurement results obtained from a real-world sample demonstration could also be recognized as an important basis to suggest this method is promising for monitoring antibiotics in a real aquatic environment.
dc.identifier.citationSpectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 295, 2023
dc.identifier.doi10.1016/j.saa.2023.122584
dc.identifier.issn13861425
dc.identifier.other2-s2.0-85149848488
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/14537
dc.sourceSpectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
dc.subjectAntibiotics
dc.subjectIndependent Component Analysis
dc.subjectMultianalyte detection
dc.subjectRaman Spectroscopy
dc.subjectSurface-enhanced Raman spectroscopy
dc.titleLabel free detection of multiple trace antibiotics with SERS substrates and independent components analysis
dc.typeArticle

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