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Quantification of Schizophyllan directly from the fermented broth by ATR-FTIR and PLS regression


Non-destructive methods that allow the quantification of bioproducts in a simple and quick way during fermentation are extremely desirable from a practical point of view. Therefore, a 9-day fermentation experiment with Schizophyllum commune was carried out to investigate the possibility of using ATR-FTIR to quantify the Schizophyllan biopolymer (SPG) directly from the culture medium. On each day, aliquots of the fermentation were taken, and the cell-free supernatant was analyzed by ATR-FTIR. The main objective of this step was to evaluate whether the FTIR would be able to detect the appearance of specific peaks related to the production of SPG. The results of the PCA analysis showed that there was a reasonable separation of the days through the FTIR spectra. Then PCA-LDA was applied to the same dataset, which confirmed the formation of groups for each day of fermentation. After which, a calibration and test set was developed. Through a matrix generated by an experimental design with 2-factor and 5 levels, 25 samples were created with variations in the concentration of the culture medium and SPG. The ATR-FTIR spectra of this data set was modeled using PLS regression with backward selection of predictors. The results revealed that the amount of SPG produced can be quantified directly in the culture medium with excellent precision with R2CV = 0.951, R2P = 0.970, RMECV = 0.205 g, RMSEP = 0.170 g, RPDcv = 4.53 and RPDp = 5.88. The traditional method to quantify SPG is time consuming, requires several steps and uses solvents. In contrast, the method proposed in this work is a viable, faster, and a simpler alternative, which does not use reagents and does not require extensive pre-treatment of the samples.

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Article information

21 Aug 2020
11 Oct 2020
First published
12 Oct 2020

Anal. Methods, 2020, Accepted Manuscript
Article type

Quantification of Schizophyllan directly from the fermented broth by ATR-FTIR and PLS regression

F. R. P. Mansoldo, V. D. S. Cardoso , A. Neves Junior, S. Cedrola, V. Maricato, M. D. S. S. Rosa and A. B. Vermelho, Anal. Methods, 2020, Accepted Manuscript , DOI: 10.1039/D0AY01585G

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