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http://krishi.icar.gov.in/jspui/handle/123456789/13053
Title: | DEVELOPMENT OF MULTIVARIATE REGRESSION MODEL FOR QUANTIFICATION OF PROXIMATE CONTENT IN VIGNA RADIATA USING FOURIER TRANSFORM –NIR SPECTROSCOPY |
Other Titles: | Not Available |
Authors: | R. Pandiselvam |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | Central Plantation Crops Research Institute (CPCRI) |
Published/ Complete Date: | 2016-04-01 |
Project Code: | Not Available |
Keywords: | FT-NIR Green gram Composition |
Publisher: | Not Available |
Citation: | Pandiselvam, R., Sunoj, S. and Uma, D., 2016. Development of Multivariate Regression Model for Quantification of Proximate Content in Vigna Radiata Using Fourier Transform–NIR Spectroscopy. |
Series/Report no.: | Not Available; |
Abstract/Description: | The Fourier Transform Near Infrared (FT-NIR) absorbance spectra (12800-3600 cm-1) of 222 green gram samples was used to build calibration models for the determination of the content of protein, fat and carbohydrate. The samples that comprised the dataset had an average composition of 22.18% of protein, 1.30% fat, and 50.72% carbohydrate. Multivariate regression was used to develop the quantitative models for protein, fat and carbohydrate compounds. The root mean square error of cross validation (RMSECV) was 0.191 (R2 = 91.52) for protein, 0.0271 (R2 = 88.54) for fat and 0.765 (R2 = 93.62) for carbohydrate. A fast, simple and accurate method to quantify the proximate content of green gram was developed by using FT-NIR spectroscopy. The results showed that FT-NIR spectroscopy could support chemical analysis methods. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Scientific Journal Agricultural Engineering |
Volume No.: | Not Available |
Page Number: | 61-70 |
Name of the Division/Regional Station: | Physiology, Biochemistry and Post Harvest Technology Division |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/13053 |
Appears in Collections: | HS-CPCRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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DEVELOPMENT OF MULTIVARIATE REGRESSION MODEL FOR QUANTIFICATION OF PROXIMATE CONTENT.pdf | 372.96 kB | Adobe PDF | View/Open |
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