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Near-infrared imaging for quantitative analysis of active component in counterfeit dimethomorph using partial least squares regression

  • Yue Huang EMAIL logo , Shun-Geng Min , Jin-Li Cao , Sheng-Feng Ye and Jia Duan
Published/Copyright: July 27, 2012
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Abstract

Near-infrared (NIR) imaging systems simultaneously record spectral and spatial information. Near-infrared imaging was applied to the identification of (E,Z)-4-(3-(4-chlorophenyl)-3-(3,4-dimethoxyphenyl)acryloyl)morpholine (dimethomorph) in both mixed samples and commercial formulation in this study. The distributions of technical dimethomorph and additive in the heterogeneous counterfeit product were obtained by the relationship imaging (RI) mode. Furthermore, a series of samples which consisted of different contents of uniformly distributed dimethomorph were prepared and three data cubes were generated for each content. The spectra extracted from these images were imported to establish the partial least squares model. The model’s evaluating indicators were: coefficient of determination (R 2) 99.42 %, root mean square error of calibration (RMSEC) 0.02612, root mean square error of cross-validation (RMSECV) 0.01693, RMSECVmean 0.03577, relative standard error of prediction (RSEP) 0.01999, and residual predictive deviation (RPD) 15.14. Relative error of prediction of the commercial formulation was 0.077, indicating the predicted value correlated with the real content. The chemical value reconstruction image of dimethomorph formulation products was calculated by a MATLAB program. NIR microscopy imaging here manifests its potential in identifying the active component in the counterfeit pesticide and quantifying the active component in its scanned image.

[1] Barkshire, I. R., Kenny, P. G., Fletcher, I. W., & Prutton, M. (1996). Quantitative surface microanalysis of samples with extreme topograghy utilising image interpretation by scatter diagrams and principal component analysis. Ultramicroscopy, 63, 193–203. DOI: 10.1016/0304-3991(96)00039-3. http://dx.doi.org/10.1016/0304-3991(96)00039-310.1016/0304-3991(96)00039-3Search in Google Scholar

[2] Clarke, F. (2004). Extracting process-related information from pharmaceutical dosage forms using near infrared microscopy. Vibrational Spectroscopy, 34, 25–35. DOI: 10.1016/j.vibspec.2003.08.005. http://dx.doi.org/10.1016/j.vibspec.2003.08.00510.1016/j.vibspec.2003.08.005Search in Google Scholar

[3] Gendrin, C., Roggo, Y., & Collet, C. (2007). Content uniformity of pharmaceutical solid dosage forms by near infrared hyperspectral imaging: A feasibility study. Talanta, 73, 733–741. DOI: 10.1016/j.talanta.2007.04.054. http://dx.doi.org/10.1016/j.talanta.2007.04.05410.1016/j.talanta.2007.04.054Search in Google Scholar

[4] Hoheisel, M. (2006). Review of medical imaging with emphasis on X-ray detectors. Nuclear Instrument and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 563, 215–224. DOI: 10.1016/j.nima.2006.01.123. http://dx.doi.org/10.1016/j.nima.2006.01.12310.1016/j.nima.2006.01.123Search in Google Scholar

[5] Huang, Y., Wei, D., & Yang, C. (2008). Analysis of thiram, imidacloprid and diniconazole by RP-HPLC. Agrochemicals, 47, 114–115. Search in Google Scholar

[6] Kvalheim, O. M., & Liang, Y. Z. (1992). Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolution. Analytical Chemistry, 64, 936–946. DOI: 10.1021/ac00032a019. http://dx.doi.org/10.1021/ac00032a01910.1021/ac00032a019Search in Google Scholar

[7] Lindberg, N. O., & Gabrielsson, J. (2004). Use of software to facilitate pharmaceutical formulation-experiences from a tablet formulation. Journal of Chemometrics, 18, 133–138. DOI: 10.1002/cem.853. http://dx.doi.org/10.1002/cem.85310.1002/cem.853Search in Google Scholar

[8] Lopes, M. B., & Wolff, J. C. (2009). Investigation into classification/sourcing of suspect counterfeit HeptodinTM tablets by near infrared chemical imaging. Analytica Chimica Acta, 633, 149–155. DOI: 10.1016/j.aca.2008.11.036. http://dx.doi.org/10.1016/j.aca.2008.11.03610.1016/j.aca.2008.11.036Search in Google Scholar

[9] Ma, G., Wang, C., Fan, D., Xing, D., Qian, L., Wang, J., & Liu, S. (2006). Quantitative determination of imidacloprid by infrared absorption spectrometry. Spectroscopy and Spectral Analysis, 26, 434–437. Search in Google Scholar

[10] Rodionova, O. Y., Houmøller, L. P., Pomeranstev, A. L., Geladi, P., Burger, J., Dorofeyev, V. L., & Arzamastsev, A. P. (2005). NIR spectrometry for counterfeit drug detection: A feasibility study. Analytica Chimica Acta, 549, 151–158. DOI: 10.1016/j.aca.2005.06.018. http://dx.doi.org/10.1016/j.aca.2005.06.01810.1016/j.aca.2005.06.018Search in Google Scholar

[11] Roggo, Y., Edmond, A., Chalus, P., & Ulmschneider, M. (2005). Infrared hyperspectral imaging for qualitative analysis of pharmaceutical solid forms. Analytica Chimica Acta, 535, 79–87. DOI: 10.1016/j.aca.2004.12.037. http://dx.doi.org/10.1016/j.aca.2004.12.03710.1016/j.aca.2004.12.037Search in Google Scholar

[12] Sjöblom, J., Svensson, O., Josefson, M., Kullberg, H., & Wold, S. (1998). An evaluation of orthogonal signal correction applied to calibration transfer of near infrared spectra. Chemometric Intelligent Laboratory System, 44, 229–244. DOI: 10.1016/s0169-7439(98)00112-9. http://dx.doi.org/10.1016/S0169-7439(98)00112-910.1016/S0169-7439(98)00112-9Search in Google Scholar

[13] Suutarinen, J., Änäkäi nen, L., & Autio, K. (1998). Comparison of light microscopy and spatially resolved Fourier transform infrared (FT-IR) microscopy in the examination of cell wall components of strawberries. Lebensmittel Wissenschaft Technologie, 31, 595–601. DOI: 10.1006/fstl.1997.0331. http://dx.doi.org/10.1006/fstl.1997.033110.1006/fstl.1997.0331Search in Google Scholar

[14] Wu, W., Walczak, B., Massart, D. L., Heuerding, S., Erni, F., Last, I. R., & Prebble, K. A. (1996). Artificial neural networks in classification of NIR spectral data: Design of the training set. Chemometric Intelligence Laboratory System, 33, 35–46. DOI: 10.1016/0169-7439(95)00077-1. http://dx.doi.org/10.1016/0169-7439(95)00077-110.1016/0169-7439(95)00077-1Search in Google Scholar

[15] Zhang, L., Henson, M. J., & Sekulic, S. S. (2005). Multivariate data analysis for Raman imaging of a model pharmaceutical tablet. Analytica Chimica Acta, 545, 262–278. DOI: 10.1016/j.aca.2005.04.080. http://dx.doi.org/10.1016/j.aca.2005.04.08010.1016/j.aca.2005.04.080Search in Google Scholar

Published Online: 2012-7-27
Published in Print: 2012-11-1

© 2012 Institute of Chemistry, Slovak Academy of Sciences

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