Determining sucrose and glucose levels in dual‐purpose sorghum stalks by Fourier transform near infrared (FT‐NIR) spectroscopy. (3rd March 2014)

• Record Type: Journal Article
• Authors: Chen, Shih‐Fang; Danao, Mary‐Grace C; Singh, Vijay; Brown, Patrick J
• Is Part Of: Journal of the science of food and agriculture. Volume 94:Number 12(2014:Sep. 15)
• Page Start: 2569
• Page End: 2576
• Publication Date: 2014-03-03
• Subjects: Food -- Periodicals; Agriculture -- Periodicals; 664
• DOI: 10.1002/jsfa.6606
• Languages: English
• ISSNs: 0022-5142

Abstract

<abstract abstract-type="main" id="jsfa6606-abs-0001"> <title>Abstract</title> <sec id="jsfa6606-sec-0001" sec-type="section"> <title>BACKGROUND</title> <p id="jsfa6606-para-0001">Sorghum is an advanced biomass feedstock from which grain, sugar and stover can be used for biofuel production. Determinations of specific sugar contents in sorghum stalks help to make strategic decisions during plant breeding, processing, storage and optimization of fermentation conditions. In this study, Fourier transform near infrared (FT‐NIR) spectroscopy was used as a relatively fast, low‐cost, high‐throughput assay to predict sucrose and glucose levels in stalks of 40 dwarf grain sorghum inbreds.</p> </sec> <sec id="jsfa6606-sec-0002" sec-type="section"> <title>RESULTS</title> <p id="jsfa6606-para-0002">The diffuse reflection spectra were pretreated with multiplicative scatter correction (MSC) and first‐derivative Savitzy–Golay (SG‐1). Calibrated models were developed by partial least squares regression (PLSR) analysis. Martens' uncertainty test was used to determine the most effective spectral region. The PLSR model for stalk sucrose content was built on 380 significant wavenumbers in the 4000–6999 cm<sup>−1</sup> range. The model was based on four factors and had RPD = 2.40, RMSEP = 1.77 and <italic>R</italic><sup>2</sup> = 0.81. Similarly, the model for stalk glucose was built using 4000–9000 cm<sup>−1</sup> and six factors, with RPD = 2.45, RMSEP = 0.73 and <italic>R</italic><sup>2</sup> = 0.81.</p> </sec> <sec id="jsfa6606-sec-0003" sec-type="section"> <title>CONCLUSION</title> <p id="jsfa6606-para-0003">PLSR models were developed based on FT‐NIR spectra coupled with multivariate data analysis to provide a quick and low‐cost estimate of specific sugar contents in grain sorghum stalks. This sugar information helps decision making for sorghum‐based biomass processing and storage strategies. © 2014 Society of Chemical Industry</p> </sec> </abstract>