Fourier Transform Infrared (FT-IR) Spectroscopy for discrimination of Rhizoma gastrodiae (Tianma) from different producing areas

Fan, Qirui; Chen, Chao-Yin; Lin, Yuping; Zhang, Chunmei; Liu, Binqiu; Zhao, S. J.

doi:10.1016/j.molstruc.2013.07.039

Cited by 28 publications

(13 citation statements)

References 8 publications

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“…Gastrodia elata and its preparations are one of the health foods approved by National Health Commission of the People's Republic of China, and have prominently therapeutic effect in the clinical application. However, due to the different growth environment and cultivation methods, the differences of active components in Gastrodia elata are noticeable, which results in disparities in quality and physiological efficacy . Moreover, the samples from different habitats are extremely similar in shape and difficult to distinguish accurately by the naked eye.…”

Section: Introductionmentioning

confidence: 99%

Accurate discrimination of Gastrodia elata from different geographical origins using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis

Sun

Zhu

et al. 2019

J of Separation Science

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Gastrodia elata from different geographical origins varies in quality and pharmacological activity. This study focused on the classification and identification of Gastrodia elata from six producing areas using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis. Before recognition analysis, a principal component analysis was applied to ascertain the discrimination possibility with high‐performance liquid chromatography fingerprints. And then, boosting partial least‐squares discriminant analysis and conventional partial least‐squares discriminant analysis were applied in this study. Experimental results indicated that the adaptive iteratively reweighted penalized least‐squares algorithm could eliminate the baseline drift of high‐performance liquid chromatography chromatograms effectively. And compared with partial least‐squares discriminant analysis, the total recognition rates using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis for the calibration sets and prediction sets were improved from 94 to 100% and 86 to 97%, respectively. In conclusion, high‐performance liquid chromatography combined with boosting partial least‐squares discriminant analysis, which has such advantages as effective, specific, accurate, non‐polluting, has an edge for discrimination of traditional Chinese medicine from different geographical origins. And the proposed methodology is a useful tool to classify and identify Gastrodia elata from different geographical origins.

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Section: Introductionmentioning

confidence: 99%

Accurate discrimination of Gastrodia elata from different geographical origins using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis

Sun

Zhu

et al. 2019

J of Separation Science

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“…To ensure the reliability and repeatability of pharmacological research, to understand the bioactivities of medicines, and to enhance product quality control, the whole profiles of herbal medicines need to be determined . Currently, modern chemical, physical, and biological analysis methods are used as common fingerprinting methods in TCM, such as thin‐layer chromatography (TLC), high‐performance liquid chromatography (HPLC), high‐speed counter‐current chromatography (HSCCC), gas chromatography (GC), ultraviolet spectroscopy (UV), Fourier transform infrared spectroscopy (FTIR), near infrared spectroscopy (NIR), mass spectroscopy (MS), nuclear magnetic resonance spectroscopy (NMR), X‐ray diffraction, capillary electrophoresis (CE), and DNA techniques …”

Section: Introductionmentioning

confidence: 99%

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Zhao

Tianjun

Zhang

et al. 2019

Journal of Chemometrics

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Gentiana rigescens is one of the most important traditional Chinese medicines because of its therapeutic effects in protecting the liver and promoting bile discharge, anti‐hypertension, and spasm and pain relief. To enhance quality control, a comprehensive assessment of G. rigescens from different geographic origins by Fourier‐transform infrared (FTIR) in combination with chemometrics was conducted. Through pretreatment by the second derivative, spectrum standard deviation and Monte Carlo uninformative variable elimination (MC‐UVE), the characteristic FTIR spectra were selected and an identification model of the different geographic origins of G. rigescens was built by partial least squares discriminant analysis (PLS‐DA). The validation results showed that the accuracy rates of the model were 100%, 97.22%, and 100% for samples from Yunnan, Guizhou, and Sichuan, respectively. On the basis of the correlation between characteristic spectral points and the contents of swertiamarin, gentiopicroside, sweroside, and loganic acid, quantitative models were established by partial least squares regression (PLSR). The measured and predicted values were not significantly different as assessed through the paired t test (p > 0.05). Additionally, the characteristic spectra were interpreted, and 93 common peaks were selected. FTIR analysis combined with chemometric methods could accurately identify the different geographic origins of G. rigescens and rapidly predict the content of swertiamarin, gentiopicroside, sweroside, and loganic acid, thus providing a comprehensive method of evaluating traditional Chinese medicines.

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“…4,5 Some researchers have studied the carbonyl region changes during the reprocessing and service life of materials with the discovery of a general absorbance increase in carbonyl region. [6][7][8][9] Furthermore, in recent years, FTIR combined with chemometrics techniques has been successfully applied in many fields such as food adulteration, 3,10-14 plants species, and habitats authentication, [15][16][17] yet few publications focus on the discrimination of recycled materials. 18,19 The combination of near infrared spectroscopy and conformity test has been proposed to screen adulteration in polypropylene bottles.…”

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confidence: 99%

Discrimination between virgin and recycled polystyrene containers by Fourier transform infrared spectroscopy and principal component analysis

et al. 2018

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A rapid and reliable method for discriminating virgin and recycled expanded polystyrene (EPS) containers was developed using Fourier transform infrared spectroscopy combined with principal component analysis. Standard normal variate, first and second‐order derivative spectra were compared for the discrimination results. The results show that carbonyl region (1780‐1620 cm−1) spectra using first derivative transformation give the optimum classification results. In addition, the carbonyl compounds in EPS containers were detected to clarify the chemical difference between virgin and recycled containers, with a higher concentration of carbonyl compounds observed in recycled EPS containers. The combination of carbonyl region of Fourier transform infrared spectroscopy with chemometrics proved to be a promising method to discriminate virgin and recycled EPS containers, which could function as an additional tool for quality control of plastics.

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Fourier Transform Infrared (FT-IR) Spectroscopy for discrimination of Rhizoma gastrodiae (Tianma) from different producing areas

Cited by 28 publications

References 8 publications

Accurate discrimination of Gastrodia elata from different geographical origins using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis

Accurate discrimination of Gastrodia elata from different geographical origins using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis

Geographic origin identification and rapid determination of four constituents of Gentiana rigescens by FTIR combined with chemometrics

Discrimination between virgin and recycled polystyrene containers by Fourier transform infrared spectroscopy and principal component analysis

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