Literature DB >> 14995097

Quality evaluation of sugar beet (Beta vulgaris) by near-infrared spectroscopy.

Yves Roggo1, Ludovic Duponchel, Jean-Pierre Huvenne.   

Abstract

The legal method (polarimetric measurement) for the determination of sucrose content and the wet chemical analysis for the quality control of sugar beet uses lead acetate. Because heavy metals are pollutants, the law could forbid their use in the future. Therefore, near-infrared spectroscopy (NIRS) was evaluated as a procedure to replace these methods. However, there are alternatives to lead clarification, such as the use of aluminum salts, which have been applied at many sugar companies. The real advantage of NIRS is in speed and ease of analysis. The aim of this study was to determine simultaneously the concentration of several components which define the industrial quality of beets. The first objective was the determination of sucrose content, which determines the sugar beet price. The standard error of prediction (SEP) was low: 0.11 g of sucrose/100 g of fresh beet. NIRS was also able to determine other beet quality parameters: brix, marc, glucose, nitrogen, sodium, potassium, sugar in molasses (i.e. sucrose in molasses), and juice purity. The results concerning brix, marc, sugar in molasses, and juice purity were satisfactory. NIRS accuracy was lower for the other parameters. Nevertheless, RPD (ratio standard deviation of concentration/SEP) and RER (ratio concentration range/SEP ratio) show that NIRS might be used for the sample screening on nitrogen, potassium, sodium, and glucose content.

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Year:  2004        PMID: 14995097     DOI: 10.1021/jf0347214

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  A new high-throughput assay for determining soluble sugar in sorghum internode-extracted juice.

Authors:  Yin Li; Rushabh Mehta; Joachim Messing
Journal:  Planta       Date:  2018-06-11       Impact factor: 4.116

2.  Field Detection of Rhizoctonia Root Rot in Sugar Beet by Near Infrared Spectrometry.

Authors:  Leilane C Barreto; Rosa Martínez-Arias; Axel Schechert
Journal:  Sensors (Basel)       Date:  2021-12-02       Impact factor: 3.576

  2 in total

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