Rapid recognition of Chinese herbal pieces of Areca catechu by different concocted processes using Fourier transform mid-infrared and near-infrared spectroscopy combined with partial least-squares discriminant analysis |
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| Authors: | Hai-Yan Fua Dong-Chen Huanga Tian-Ming Yanga Yuan-Bin Sheb Hao Zhanga a Third Class Laboratory About Ethno-medicine of State Administration of Traditional Chinese Medicine College of Pharmacy South-Central University for Nationalities Wuhan China b |
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| Institution: | Key Laboratory of Catalysis and Materials Science of the State Ethnic Affairs Commission & Ministry of Education,College of Chemistry and Materials Science, South-Central University for Nationalities,Wuhan 430074,China |
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| Abstract: | Rapid and sensitive recognition of herbal pieces according to different concocted processing is crucial to quality control and pharmaceutical effect. Near-infrared (NIR) and mid-infrared (MIR) technology combined with supervised pattern recognition based on partial least-squares discriminant analysis (PLSDA) was attempted to classify and recognize six different concocted processing pieces of 600 Areca catechu L. samples and the influence of fingerprint information preprocessing methods on recognition performance was also investigated in this work. Recognition rates of 99.24%, 100% and 99.49% for original fingerprint, multiple scatter correct (MSC) fingerprint and second derivative (2nd derivative) fingerprint of NIR spectra were achieved by PLSDA models, respectively. Meanwhile, a perfect recognition rate of 100% was obtained for the above three fingerprint models of MIR spectra. In conclusion, PLSDA can rapidly and effectively extract otherness of fingerprint information from NIR and MIR spectra to identify different concocted herbal pieces of A. catechu. |
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| Keywords: | NIR and MIR spectroscopy Partial least-squares discriminant analysis Different concocted processing herbal pieces |
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