Application of near-infrared spectroscopy in quality control and determination of adulteration of african essential oils

2006 ◽  
Vol 17 (2) ◽  
pp. 121-128 ◽  
Author(s):  
Hector R. Juliani ◽  
Jeremy Kapteyn ◽  
Dayton Jones ◽  
AdolFIna R. Koroch ◽  
Mingfu Wang ◽  
...  
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Essential Oils ◽  
Near Infrared Spectroscopy ◽  
Near Infrared

scholarly journals Rapid and simultaneous determination of moisture and berberine content in Coptidis Rhizoma and Phellodendri Chinensis Cortex by near-infrared spectroscopy and chemometrics

2019 ◽  
Vol 13 (02) ◽  
pp. 2050006
Author(s):  
Siyu Zhang ◽  
Ming Chen ◽  
Yong Chen ◽  
Wei Xiao ◽  
Yerui Li ◽  
...  
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Simultaneous Determination ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Global Model ◽  
Projection Algorithm ◽  
Global Models ◽  
Coptidis Rhizoma

Coptidis Rhizoma (Chinese: Huanglian) and Phellodendri Chinensis Cortex (Chinese: Huangbo) are widely used Traditional Chinese Medicine, and often used in combination because of their similar pharmacological effects in clinical practice. However, the quality control methods of the two drugs are different and complicated, which is time consuming and laborious in practical application. In this paper, rapid and simultaneous determination of moisture and berberine in Coptidis Rhizoma (CR) and Phellodendri Chinensis Cortex (PC) was realized by near-infrared spectroscopy (NIRs) combined with global models. Competitive adaptive reweighted sampling (CARS) and successive projection algorithm (SPA) method were applied for variable selection. Principal component analysis (PCA) and partial least squares regression method (PLSR) were applied for qualitative and quantitative analysis, respectively. The characteristic variables of berberine showed similarity and consistency in distribution, providing basis for the global models. For moisture content, the global model had relative standard error of prediction set (RSEP) value of 3.04% and 2.53% for CR and PC, respectively. For berberine content, the global model had RSEP value of 5.41% and 3.97% for CR and PC, respectively. These results indicated the global models based on CARS-PLS method achieved satisfactory prediction for moisture and berberine content, improving the determination efficiency. Furthermore, the greater range and larger number of samples enhanced the reliance of the global model. The NIRs combined with global models could be a powerful tool for quality control of CR and PC.

Near-Infrared Spectroscopy in Saffron Quality Control:  Determination of Chemical Composition and Geographical Origin

2005 ◽  
Vol 53 (24) ◽  
pp. 9337-9341 ◽  
Author(s):  
Amaya Zalacain ◽  
Stella A. Ordoudi ◽  
Eva M. Díaz-Plaza ◽  
Manuel Carmona ◽  
Inmaculada Blázquez ◽  
...  
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Geographical Origin

Near Infrared Spectroscopy Used in Purification and Determination of Pharmaceutical Cocrystal

2013 ◽  
Vol 41 (12) ◽  
pp. 1928
Author(s):  
Zong-Liang CHI ◽  
Miao-Miao WANG ◽  
Xiao-Dong CONG ◽  
Shao-Guang LIU ◽  
Bao-Chang CAI
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Pharmaceutical Cocrystal
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