Rapid Determination of Active Components Inradix Isatidis Based on Near Infrared Spectroscopy and Chemometrics

2021 ◽  
Vol 11 (02) ◽  
pp. 63-68
Author(s):  
铭 贾
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Active Components

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.

Rapid Determination of Fungicide Contaminated on Tomato Surfaces Using the DESIR-NIR: A System for ppm-order Concentration

2005 ◽  
Vol 13 (3) ◽  
pp. 169-175 ◽  
Author(s):  
Innapa Saranwong ◽  
Sumio Kawano
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Satisfactory Result ◽  
Filter Paper ◽  
Near Infrared ◽  
Rapid Determination ◽  
Petri Dish ◽  
Fruit Weight ◽  
Dry Extract

A system for rapid fungicide determination using near infrared spectroscopy was developed using the dry-extract system for infrared (DESIR) technique. Glass microfibre filter paper was used as the substrate. Fungicide solutions were prepared by dissolving the commercial dichlofluanid-carrying fungicide, Euparen, into acetone at concentrations of 2 ppm to 90 ppm of the active ingredient. Some techniques for adding the fungicide solutions onto the filter paper were examined. It was found that by adding 2 mL of the fungicide solution to the filter paper held in an identical size Petri dish made of polysyrene, a sufficiently accurate calibration result with SEP of 6.58 ppm could be obtained. In the following step, the technique was applied to the determination of fungicide on tomato surfaces. The fungicide was extracted from the fruit by washing with acetone. Then, the acetone solution was used for the DESIR embedding instead of the fungicide solution in the first experiment. A satisfactory result, with an SEP of 7.89 ppm for the washed solution that was equivalent to approximately 1.58 ppm per gram fruit weight, could be obtained.

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