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<p>Surface-enhanced Raman spectroscopy (SERS) was combined with stoichiometric analysis to synthesize a&#xa0;AuNPs@MIL-100 (Fe) SERS substrate. This high-performance, and low-cost metal–organic framework-based SERS nano sensor is&#xa0;capable of detecting malachite green (MG) residues in fish. The minimum detectable&#xa0; concentration of MG in standard solutions is&#xa0;0.1&#xa0;μg/L, while in fish samples, the detection range spanned from 0.003–0.088&#xa0;μg/kg. The partial least squares regression (PLSR) and support vector machine regression (SVR) were applied to model the SERS data, enhancing both the precision and reliability of the detection. The results show that compared with the traditional linear regression and PLSR models, the prediction accuracy of the&#xa0;SVR model is an&#xa0; improvement with higher&#xa0;stability. MG standard solutions and three fish samples can&#xa0; be analysed directly or after simple extraction. This method can be used to detect trace harmful substances in different aquatic products.</p> Graphical Abstract <p></p>

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Rapid determination of malachite green in fish by surface-enhanced Raman spectroscopy combined with MIL-100 (Fe)

  • 期刊论文

  • 发表日期：

    2025年2月24日

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  • Hongyu Han,
  • Yiqun Huang,
  • Junjian Miao,
  • Keqiang Lai

摘要

Surface-enhanced Raman spectroscopy (SERS) was combined with stoichiometric analysis to synthesize a AuNPs@MIL-100 (Fe) SERS substrate. This high-performance, and low-cost metal–organic framework-based SERS nano sensor is capable of detecting malachite green (MG) residues in fish. The minimum detectable  concentration of MG in standard solutions is 0.1 μg/L, while in fish samples, the detection range spanned from 0.003–0.088 μg/kg. The partial least squares regression (PLSR) and support vector machine regression (SVR) were applied to model the SERS data, enhancing both the precision and reliability of the detection. The results show that compared with the traditional linear regression and PLSR models, the prediction accuracy of the SVR model is an  improvement with higher stability. MG standard solutions and three fish samples can  be analysed directly or after simple extraction. This method can be used to detect trace harmful substances in different aquatic products.

Graphical Abstract