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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:1, January, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(1): 773-782
DOI: https://doi.org/10.20546/ijcmas.2018.701.094


Comparative Efficiency of Conventional and NIR Based Technique for Proximate Composition of Pigeon Pea, Soybean and Rice Cultivars
Susheel Singh*, Sweta Patel, Nitesh Litoria, Kelvin Gandhi, Priti Faldu and K.G. Patel
Food Quality Testing Laboratory, N.M. College of Agriculture, Navsari Agricultural University, Navsari-396 450, Gujarat, India
*Corresponding author
Abstract:

Proximate composition of food crops is an essential and inevitable tool to identify their ability to suffice the nutritional security of society. Creating database for the key components of biochemical composition is also an essential step to categorized food crops on nutritional supplanting capacity. Conventionally, for the biochemical characterization was performed with tedious and time consuming proximate and wet methods which did not match with current analytical requirements viz., quick, easy cheap, effective rugged and accurate. Near Infrared (NIR) spectroscopy expected to fulfill the above mention characters. Therefore, a study was performed to determine the analytical efficiency of traditional as well as NIR spectroscopic methods to determine Protein, fiber and oil contentfrom31, 25 and 17 commonly available cultivars of soybean, rice and pigeon pea, respectively. A NIR spectrophotometer (Instalab7200) was standardized with different varieties of above crops as per the protocol. The analytical results obtained with NIR spectroscopic technique was significantly correlated with those from conventional method with high degree of repeatability (% RSD≈10) in results, cost effectiveness and speed of analysis. The outcome of this work indicates that NIR spectroscopy has potential to serve as an accurate and rapid alternative method for quantifying the common biochemical components of different cultivars of soybean, rice and pigeon pea with acceptable accuracy, precision and reproducibility.


Keywords: Near Infrared (NIR) spectroscopy, Protein, Fiber, Oil, Soybean, Rice, Pigeon pea

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How to cite this article:

Susheel Singh, Sweta Patel, Nitesh Litoria, Kelvin Gandhi, Priti Faldu and Patel, K.G. 2018. Comparative Efficiency of Conventional and NIR Based Technique for Proximate Composition of Pigeon Pea, Soybean and Rice Cultivars.Int.J.Curr.Microbiol.App.Sci. 7(1): 773-782. doi: https://doi.org/10.20546/ijcmas.2018.701.094
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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