Literature DB >> 19132745

Monitoring of biomass composition from microbiological sources by means of FT-IR spectroscopy.

Arthur M A Pistorius1, Willem J DeGrip, Tatjana A Egorova-Zachernyuk.   

Abstract

An FT-IR spectroscopic method was developed for the simultaneous quantitative analysis of biomacromolecular components in biomass, originating from various microbiological sources. For the determination of protein, lipid and carbohydrate content, creatine phosphokinase, egg phosphatidyl choline and starch hydrolysate were chosen as external standards. This selection was based on spectral similarity and ease of availability. Protein content was based on the area under the amide II band profile around 1,545 cm(-1). Because of the heterogeneous lipid composition in the different species, lipid content was determined using integration over the C-H stretching vibrational population between 2,984 and 2,780 cm(-1). Carbohydrate content was determined using integration over a C-O and C-O-C stretching band area between 1,180 and 1,133 cm(-1). Linear regression analysis provided three calibration lines, according to which biomasses from ten species were analyzed. This approach showed good intra-batch reproducibility. With this method we could demonstrate good reproducibility between batches of the same species with similar growth conditions while large differences in biomass composition were observed between the various species. Protein content as determined by FT-IR spectroscopy compared well with the results obtained from elemental analysis. Copyright 2008 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19132745     DOI: 10.1002/bit.22220

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  15 in total

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8.  Fourier Transform Infrared (FTIR) Spectroscopic Analyses of Microbiological Samples and Biogenic Selenium Nanoparticles of Microbial Origin: Sample Preparation Effects.

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9.  Surveillance of C-allocation in microalgal cells.

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Journal:  Metabolites       Date:  2014-06-19

10.  Development of a univariate membrane-based mid-infrared method for protein quantitation and total lipid content analysis of biological samples.

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Journal:  J Anal Methods Chem       Date:  2014-10-13       Impact factor: 2.193

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