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Novel NIR Spectroscopy Correlation Approach to Amino Acid Analysis of Soybean Proteins for Composition Improvements. (v.3)
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  • Published: 16 August 2011

Novel NIR Spectroscopy Correlation Approach to Amino Acid Analysis of Soybean Proteins for Composition Improvements. (v.3)

  • Valentin Prisecaru MS1 &
  • I. Baianu Prof.2 

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Abstract

Amino acid NIR calibrations were developed in our Physical Chemistry of Foods Laboratory of the University of Illinois at Urbana for three selected amino acid groups that include essential amino acids for identified soybean accessions. Conventional “wet chemistry” analytical methods are time-consuming and costly. As a result, soybean breeders and researchers have an imperative need to utilize faster and less expensive methods. NIR Spectroscopy is a rapid and inexpensive method for composition analysis for academia and industry. Recent advancements in instrumentation design, such as the application of the Diode Array (DA) technique and the Fourier Transform (FT) IR and NIR techniques, have significantly improved overall instrument performance and advancement in the field of grain analysis.Novel results are presented for amino acid calibrations for US soybean accessions relevant to the food and agricultural industry.

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Authors and Affiliations

  1. University of Illinois at Urbana, NPRE and FSHN Departments, Urbana, IL, 61801, USA

    Valentin Prisecaru MS

  2. FSHN & NPRE Departments, University of Illinois at Urbana https://www.nature.com/nature

    I. Baianu Prof.

Authors
  1. Valentin Prisecaru MS
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  2. I. Baianu Prof.
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Correspondence to I. Baianu Prof..

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Prisecaru, V., Baianu, I. Novel NIR Spectroscopy Correlation Approach to Amino Acid Analysis of Soybean Proteins for Composition Improvements. (v.3). Nat Prec (2011). https://doi.org/10.1038/npre.2011.6231.3

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  • Received: 16 August 2011

  • Accepted: 16 August 2011

  • Published: 16 August 2011

  • DOI: https://doi.org/10.1038/npre.2011.6231.3

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Keywords

  • amino acids
  • NIRS calibrations
  • soy proteins
  • soybean composition analysis
  • FT-NIRS
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