Paper
18 November 2019 A novel calibration transfer method of NIR spectra to identify ultra-low concentration of pesticide residues
Chaowei Zhuang, Jingtao Fan, Jing Zhang, Bin Gao, Qionghai Dai
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Abstract
Conventional chemical methods to detect pesticide residue are complex, and need professional instruments as well as much time. NIR spectral analysis provides an effective way for pesticide residue detection because of simple operation, rapid analysis and non-destruction of samples. However, conventional calibration models are only effective after spectra were measured, and different models are needed for different instruments. In this study, we propose a novel calibration transfer method by using sequential forward selection to transfer calibration models between different crops and instruments. The calibration model built by master instrument can identify three kinds of pesticide including Chlorothalonil, Chlorpyrifos and Buprofezin. Spectra obtained by slave instrument can also be predicted by the models with the method. The experiment results show that the prediction accuracies increased from 50% up to 80% by using our method.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chaowei Zhuang, Jingtao Fan, Jing Zhang, Bin Gao, and Qionghai Dai "A novel calibration transfer method of NIR spectra to identify ultra-low concentration of pesticide residues", Proc. SPIE 11189, Optical Metrology and Inspection for Industrial Applications VI, 1118916 (18 November 2019); https://doi.org/10.1117/12.2534019
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KEYWORDS
Calibration

Instrument modeling

Near infrared

Chemical analysis

Statistical analysis

Safety

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