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A novel approach to determine leucomalachite green and malachite green in fish fillets with surface‐enhanced Raman spectroscopy (SERS) and multivariate analyses
Author(s) -
Zhang Yuanyuan,
Lai Keqiang,
Zhou Jinglie,
Wang Xichang,
Rasco Barbara A.,
Huang Yiqun
Publication year - 2012
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.4050
Subject(s) - malachite green , partial least squares regression , extraction (chemistry) , chromatography , chemistry , principal component analysis , metabolite , detection limit , surface enhanced raman spectroscopy , raman spectroscopy , fish <actinopterygii> , food science , mathematics , biology , fishery , biochemistry , statistics , raman scattering , organic chemistry , adsorption , optics , physics
The use of illegal fish drugs, such as malachite green (MG) in aquaculture has raised growing concerns over the safety of aquatic food products, and sensitive and rapid methods for detection of these drugs in fish muscle are much needed. Simplified extraction methods coupled with surface‐enhanced Raman spectroscopy were used for analysis of MG and its metabolite leucomalachite green (LMG) in tilapia fillets containing 0–50 ng g −1 LMG or MG. Principal component analysis and partial least squares (PLS) regression were used for spectral data analyses. High sensitivity (MG or LMG could be detected at 1–2 ng g −1 levels) and PLS models with good predictability [root mean square error of validation (RMSEV) = 1.97–2.21 ng g −1 , R 2 = 0.984–0.988] were possible with suitable sample extraction methods. The simplest extraction method developed provided an RMSEV of 9.32 ng g −1 and R 2 of 0.788, and although this was not ideal, detection of MG and LMG at 5 ng g −1 level with this method could reduce sample throughput time and provide for faster detection of LMG and MG. Copyright © 2012 John Wiley & Sons, Ltd.