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Volume 42 Issue 1
Jan.  2024
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Article Navigation >  ENVIRONMENTAL ENGINEERING  > 2024  >  42(1): 235-242
ZENG Shaogeng, LIU Yao, LIU Zhongyan. DETECTION OF MUSSELS CONTAMINATED WITH CADMIUM BASED ON NEAR-INFRARED SPECTROSCOPY AND LSPTSVM[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(1): 235-242. doi: 10.13205/j.hjgc.202401030
Citation: ZENG Shaogeng, LIU Yao, LIU Zhongyan. DETECTION OF MUSSELS CONTAMINATED WITH CADMIUM BASED ON NEAR-INFRARED SPECTROSCOPY AND LSPTSVM[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(1): 235-242. doi: 10.13205/j.hjgc.202401030
shu

DETECTION OF MUSSELS CONTAMINATED WITH CADMIUM BASED ON NEAR-INFRARED SPECTROSCOPY AND LSPTSVM

doi: 10.13205/j.hjgc.202401030

  • 1. School of Computer and Intelligence Education, Lingnan Normal University, Zhanjiang 524048, China;

  • 2. School of Electronic and Electrical Engineering, Lingnan Normal University, Zhanjiang 524048, China

  • Received Date: 2023-02-07
    Available Online: 2024-04-29
    Abstract
  • Heavy metal contamination of shellfish has become an urgent problem of marine food safety, among which cadmium is one of the important contamination sources. The consumption of mussels contaminated with heavy metal cadmium is a serious health hazard. A non-destructive and rapid detection method for mussels contaminated with cadmium based on near-infrared reflectance spectroscopy was researched in this study. By collecting spectral data of normal and cadmium-contaminated mussels in the range of 950~1700 nm, a detection model based on the least squares projection twin support vector machine(LSPTSVM) was constructed. The parameters of the model and the number of orthogonal projection axes were optimized to obtain the best detection performance. The accuracy of the proposed LSPTSVM model achieved 99.50% for detecting cadmium-contaminated mussels, which was superior to other twin support vector machine models. The LSPTSVM model was suitable for the datasets with small samples. In the case that it was difficult to obtain many cadmium-contaminated training samples, the LSPTSVM model had better robustness than other models. The results showed that near-infrared spectroscopy combined with the LSPTSVM model can realize the detection of cadmium-contaminated mussels, which provides a new method for quality evaluation and safety detection of shellfish.
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