2020
DOI: 10.1016/j.measurement.2020.107895
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Fungal fermentation inducing improved nutritional qualities associated with altered secondary protein structure of soybean meal determined by FTIR spectroscopy

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Cited by 71 publications
(45 citation statements)
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“…In general, PLSR results (Table 2) showed that the model explained 99.99, 95.00, 98.00 and 98.00 % of total variance for crude protein, total tannin, phytic acid and lactic acid, respectively with a high regression coefficient of determination (R 2 = 0.99; P <0.0001). These high R 2 values were also obtained from the similar studies with sunflower meal and fermented soybean meal Yasar et al, 2020). Previously, Ferrao and Davanzo (2005) reported high R 2 values of 0.98-0.99 for predicting protein and ash content of wheat and Mahesar et al (2010) accurately and precisely predicted the total trans fat content of cereal-based foods with the R 2 values of 0.9991 using a part of whole data during validation was used as independent data set in PLSR model, exactly the same model used in our study.…”
Section: Figuresupporting
confidence: 74%
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“…In general, PLSR results (Table 2) showed that the model explained 99.99, 95.00, 98.00 and 98.00 % of total variance for crude protein, total tannin, phytic acid and lactic acid, respectively with a high regression coefficient of determination (R 2 = 0.99; P <0.0001). These high R 2 values were also obtained from the similar studies with sunflower meal and fermented soybean meal Yasar et al, 2020). Previously, Ferrao and Davanzo (2005) reported high R 2 values of 0.98-0.99 for predicting protein and ash content of wheat and Mahesar et al (2010) accurately and precisely predicted the total trans fat content of cereal-based foods with the R 2 values of 0.9991 using a part of whole data during validation was used as independent data set in PLSR model, exactly the same model used in our study.…”
Section: Figuresupporting
confidence: 74%
“…In order to improve the method's precision and accuracy the data treatments of baseline correction, normalisation and multiplicative scatter correction of original IR spectra (Figure 1) before it's generation of second derivate were made Yasar et al, 2020). In the model, second derivate of absorbance peaks (a.u) at every 4 cm -1 intervals over a range of 1500 to 1700 cm -1 , 650-1850 cm -1 , 800-1400 cm -1 and 1000-1900 cm -1 was used to predict crude protein, total tannin, phytic acid and lactic acid, respectively.…”
Section: Prediction Of Chemical Contents By Plsr Combined Ftir-atr Spectroscopy Plrs Model Used Was Based On Following Equationmentioning
confidence: 99%
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“…e results for the changes in secondary protein components are entirely in parallel with the results of the present study, whereby the RC content increased and α-helix concentration decreased. However, the extent of this shift in this study was greater than that in the study by Wang et al [39] and Yasar et al [14]. Consequently, the effects of bacterial fermentation on secondary protein components were more beneficial than those of industrial food processes involving extreme heating and pressure treatment conditions, such as cooking, extrusion, and pelleting [40].…”
Section: Influence Of Wks Fermentation On the Secondary Proteincontrasting
confidence: 62%
“…FTIR spectra of the unfermented and fermented samples were determined using an FTIR spectrometer (Shimadzu, IRAffinity-1S, Kyoto, Japan) following the method described by Yasar et al [14]. e FTIR spectra were measured between 400 and 4,000 1/cm at an interval of 4 1/cm.…”
Section: Fourier Transform Infrared Spectroscopy (Ftir)mentioning
confidence: 99%