Quantification of fructo-oligosaccharides based on the evaluation of oligomer ratios using an artificial neural network

Onofrejová, Lucia; Farková, Marta; Preisler, Jan

doi:10.1016/j.aca.2009.02.034

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…On the other hand, HPLC with PAD or refractive index (RI) detector have also been used to identify and quantify glucose, fructose, sucrose, and FOS derivatives kestose, nystose, and 1-fructofuranosylnystose in fermentative media ( 16 , 23 , 25 , 26 , 37 ), revealing to be a suitable routine technique considering their high levels present in fermentation samples. Other techniques have also been proposed and successfully applied for FOS detection, identification, and/or quantification, namely nuclear magnetic resonance, fluorophore-assisted carbohydrate electrophoresis, matrix-assisted desorption/ionization time-of-flight MS, or even using HPLC coupled with electrospray ionization tandem MS ( 19 , 38 , 39 ). Even so, these last techniques are not commonly used since they are technically demanding ( 19 ) and far beyond the economic capacity of the majority of FOS producers.…”

Section: Introductionmentioning

confidence: 99%

Dietary Sugars Analysis: Quantification of Fructooligossacharides during Fermentation by HPLC-RI Method

et al. 2014

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In this work, a simple chromatographic method is proposed and in-house validated for the quantification of total and individual fructooligossacharides (e.g., 1-kestose, nystose, and 1F-fructofuranosylnystose). It was shown that a high-performance liquid chromatography with refractive index detector could be used to monitor the dynamic of fructooligossacharides production via sucrose fermentation using Aspergillus aculeatus. This analytical technique may be easily implemented at laboratorial or industrial scale for fructooligossacharides mass-production monitoring allowing also controlling the main substrate (sucrose) and the secondary by-products (glucose and fructose). The proposed chromatographic method had a satisfactory intra- and inter-day variability (in general, with a relative standard deviation lower than 5%), high sensitivity for each sugar (usually, with a relative error lower than 5%), and low detection (lower than 0.06 ± 0.04 g/L) and quantification (lower than 0.2 ± 0.1 g/L) limits. The correct quantification of fructooligossacharides in fermentative media may allow a more precise nutritional formulation of new functional foods, since it is reported that different fructooligossacharides exhibit different biological activities and effects.

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Section: Introductionmentioning

confidence: 99%

Dietary Sugars Analysis: Quantification of Fructooligossacharides during Fermentation by HPLC-RI Method

et al. 2014

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“…A method for the quantification of fructo‐oligosaccharides using MALDI TOF MS with DHB as the matrix, has been developed with the fructan, raftilose, a partially hydrolyzed inulin with a degree of polymeration 2–7 as the test compound (Onofrejov , Farkov , & Preisler, ). Nystose ( 2/11 ), which is chemically identical to the raftilose tetramer, was used as the internal standard.…”

Section: Quantificationmentioning

confidence: 99%

Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2009–2010

Harvey

2014

Mass Spectrometry Reviews

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This review is the sixth update of the original article published in 1999 on the application of MALDI mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2010. General aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, arrays and fragmentation are covered in the first part of the review and applications to various structural typed constitutes the remainder. The main groups of compound that are discussed in this section are oligo and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals. Many of these applications are presented in tabular form. Also discussed are medical and industrial applications of the technique, studies of enzyme reactions and applications to chemical synthesis.

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Neural Networks

Olivieri¹,

Allegrini²

2018

Reference Module in Chemistry, Molecular Sciences and Chemical Engineering

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Quantification of fructo-oligosaccharides based on the evaluation of oligomer ratios using an artificial neural network

Cited by 6 publications

References 21 publications

Dietary Sugars Analysis: Quantification of Fructooligossacharides during Fermentation by HPLC-RI Method

Dietary Sugars Analysis: Quantification of Fructooligossacharides during Fermentation by HPLC-RI Method

Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2009–2010

Neural Networks

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