Identification of green tea varieties and fast quantification of total polyphenols by near-infrared spectroscopy and ultraviolet-visible spectroscopy with chemometric algorithms

2015 ◽  
Vol 7 (2) ◽  
pp. 787-792 ◽  
Author(s):  
Xi Wang ◽  
Jianhua Huang ◽  
Wei Fan ◽  
Hongmei Lu
Keyword(s):  
Infrared Spectroscopy ◽  
Green Tea ◽  
Near Infrared ◽  
Rapid Determination ◽  
Visible Spectroscopy ◽  
Total Polyphenols ◽  
Chemometric Algorithms ◽  
Classification Of Varieties

An approach was proposed to simultaneously solve the classification of varieties and rapid determination of the TPC in green tea.

The rapid determination of total polyphenols content and antioxidant activity in Dendrobium officinale using near-infrared spectroscopy

2016 ◽  
Vol 8 (23) ◽  
pp. 4584-4589 ◽  
Author(s):  
Longhui Ma ◽  
Zhimin Zhang ◽  
Xingbing Zhao ◽  
Sufeng Zhang ◽  
Hongmei Lu
Keyword(s):  
Antioxidant Activity ◽  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Nir Spectroscopy ◽  
Dendrobium Officinale ◽  
Chemometric Methods ◽  
Total Polyphenols ◽  
Rapid Quantification

NIR spectroscopy coupled with chemometric methods for rapid quantification of total polyphenols content and antioxidant activity inDendrobium officinale.

Rapid determination of Panax ginseng by near-infrared spectroscopy

2013 ◽  
Vol 5 (23) ◽  
pp. 6715 ◽  
Author(s):  
Bu Haibo ◽  
Nie Lixing ◽  
Wang Dan ◽  
Yuan Shaoxiong ◽  
Li Shan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Panax Ginseng ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination

Rapid determination of the chemical compositions of peanut seed (Arachis hypogaea.) Using portable near-infrared spectroscopy

2020 ◽  
Vol 110 ◽  
pp. 103138
Author(s):  
Muhammad Bilal ◽  
Zou Xiaobo ◽  
Muhmmad Arslan ◽  
Haroon Elrasheid Tahir ◽  
Muhammad Azam ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Arachis Hypogaea ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Chemical Compositions ◽  
Peanut Seed

A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali

2019 ◽  
Vol 28 (1) ◽  
pp. 10-17
Author(s):  
Xuesong Liu ◽  
Siyu Zhang ◽  
Leting Si ◽  
Zhonglin Lin ◽  
Chunyan Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Radix Astragali ◽  
Astragaloside Iv ◽  
Active Components ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Models

Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.

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