Literature DB >> 15782966

Separation and quantification of beer carbohydrates by high-performance liquid chromatography with evaporative light scattering detection.

Luciana C Nogueira1, Filipe Silva, Isabel M P L V O Ferreira, L C Trugo.   

Abstract

An HPLC method with an evaporative light scattering detector was optimized and validated for quantification of carbohydrates in beer. The chromatographic separation was achieved using a Spherisorb NH2, 5 microm chromatographic column and gradient elution with acetonitrile/water. The determinations were performed in the linear range of 0.05-5.0 g/L for fructose, 0.05-5.0 g/L for glucose, 0.05-15.0 g/L for maltose, 0.05-10.0 g/L for maltotriose, and 0.05-5.0 g/L for maltotetraose. The detection limits were 0.005 g/L for fructose, 0.008 g/L for glucose, and 0.01 g/L for maltose, maltotriose, and maltotetraose. The reliability of the method in terms of precision and accuracy was evaluated in three beer matrices, low alcohol beer, 6% alcohol beer, and beer made with part of adjuncts (4.5% alcohol). Relative standard deviations (RSDs) ranged between 1.59 and 5.95% (n = 10), and recoveries ranged between 94 and 98.4%.

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Year:  2005        PMID: 15782966     DOI: 10.1016/j.chroma.2004.12.074

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  4 in total

1.  Dual polarity accurate mass calibration for electrospray ionization and matrix-assisted laser desorption/ionization mass spectrometry using maltooligosaccharides.

Authors:  Brian H Clowers; Eric D Dodds; Richard R Seipert; Carlito B Lebrilla
Journal:  Anal Biochem       Date:  2008-07-16       Impact factor: 3.365

2.  Cocoa pulp in beer production: Applicability and fermentative process performance.

Authors:  Cassiane da Silva Oliveira Nunes; Giovani Brandão Mafra de Carvalho; Marília Lordêlo Cardoso da Silva; Gervásio Paulo da Silva; Bruna Aparecida Souza Machado; Ana Paula Trovatti Uetanabaro
Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

3.  Prediction of Total Soluble Solids and pH of Strawberry Fruits Using RGB, HSV and HSL Colour Spaces and Machine Learning Models.

Authors:  Jayanta Kumar Basak; Bolappa Gamage Kaushalya Madhavi; Bhola Paudel; Na Eun Kim; Hyeon Tae Kim
Journal:  Foods       Date:  2022-07-13

4.  Erosive and cariogenicity potential of pediatric drugs: study of physicochemical parameters.

Authors:  Alidianne Fábia C Xavier; Eline F F Moura; Waldeneide F Azevedo; Fernando F Vieira; Mauro H N G Abreu; Alessandro L Cavalcanti
Journal:  BMC Oral Health       Date:  2013-12-10       Impact factor: 2.757

  4 in total

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