Paper
15 November 2011 Near-infrared microscopy imaging for quantitative analysis of active component in counterfeit imidacloprid
Yue Huang, Jinli Cao, Shengfeng Ye, Jia Duan, Lijun Wu, Qianqian Li, Shungeng Min
Author Affiliations +
Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351W (2011) https://doi.org/10.1117/12.917593
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China
Abstract
Near-infrared (NIR) imaging systems simultaneously record spectral and spatial information. Near-infrared imaging was applied to the identification of imidacloprid in both artificially mixed samples and commercial formulation in this study. The distributions of technical imidacloprid and additive in the heterogeneous counterfeit were obtained by the relationship imaging (RI) mode. Furthermore a series of samples which consisted of different contents of uniformly distributed imidacloprid were prepared and three data cubes were generated at each content. Extracted spectra from those images were imported to establish the partial least squares model. The model's results were: R2 99.21%, RMSEC 0.0306, RMSECV 0.0183, RMSECV/mean value 0.0348 and RSEP 0.0784. The prediction relative error of commercial formulation is 0.0680, indicating the predicted value was correlated to the real content. Lastly the chemical value reconstruction image of imidacloprid formulation products was calculated by MATLAB program. NIR microscopy imaging manifests herein its potential in qualitatively identifying the active component in counterfeit pesticide and quantifying the active component in scanned image.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Huang, Jinli Cao, Shengfeng Ye, Jia Duan, Lijun Wu, Qianqian Li, and Shungeng Min "Near-infrared microscopy imaging for quantitative analysis of active component in counterfeit imidacloprid", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351W (15 November 2011); https://doi.org/10.1117/12.917593
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KEYWORDS
Calibration

Near infrared

Absorbance

Microscopy

Imaging spectroscopy

Statistical modeling

Quantitative analysis

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