Journal
CHINESE CHEMICAL LETTERS
Volume 24, Issue 7, Pages 639-642Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cclet.2013.04.019
Keywords
NIR and MIR spectroscopy; Partial least-squares discriminant analysis; Different concocted processing herbal pieces
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Funding
- National Natural Science Foundation of China [21205145, 21276006, 21036009]
- State Key Laboratory of Chemo/Biosensing and Chemometrics of Hunan University [201111]
- Special Fund for Basic Scientific Research of Central Colleges, South-Central University for Nationalities [CZZ10005, CZQ11012]
- 'Five-twelfth' National Science and Technology Support Program [2012BAI27B00]
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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. (C) 2013 Tian-Ming Yang and Yuan-Bin She. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.
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