Literature DB >> 20594396

Relationship of protein molecular structure to metabolisable proteins in different types of dried distillers grains with solubles: a novel approach.

Peiqiang Yu1, Waldo G Nuez-Ortín.   

Abstract

To date, there has been no study of protein molecular structures affected by bioethanol processing in relation to protein nutritive values of the new co-products of bioethanol production. The objective of the present study was to investigate the relationship between protein molecular structures (in terms of protein α-helix and β-sheet spectral intensity and their ratio and amide I to amide II spectral intensity and their ratio) and protein rumen degradation kinetics (rate and extent), estimated protein intestinal digestibility and total truly absorbed protein in small intestine (metabolisable protein) in different types of dried distillers grains with solubles (DDGS), such as wheat DDGS, maize DDGS and blend DDGS (wheat:maize = 70:30). The protein molecular structures of the different types of DDGS affected by processing were identified using diffuse reflectance IR Fourier transform spectroscopy. The results showed that the protein structure α-helix to β-sheet ratio in the DDGS had a strongly negative correlation with estimated intestinal digestibility of ruminally undegraded protein (%dRUP, R - 0.95, P = 0.04), tended to have a significant correlation with the protein PC subfraction (which was undegradable and contained proteins associated with lignin and tannins and heat-damaged proteins) (R 0.91, P = 0.09) and had no correlation (P>0.10) with rumen degradation kinetics (rate and extent), total intestinally absorbed protein supply and degraded protein balance. However, the protein amide I to amide II ratio in the DDGS had a strongly positive correlation with soluble crude protein (CP) (R 0.99, P < 0.01), protein PA subfraction (which was instantaneously solubilised at time zero) (R 0.99, P < 0.01), protein PB2 subfraction (which was intermediately degradable) (R - 0.95, P = 0.04) and total digestible CP (R 0.95, P = 0.04). The amide I to amide II ratio also had strongly negative correlations with ruminally undegraded protein (%RUP: R - 0.96, P = 0.03) and the degraded protein balance (OEB: R - 0.97, P = 0.02), but had no correlation (P>0.10) with the total intestinally absorbed protein supply. Multiple regression results show that the protein structure α-helix to β-sheet ratio was a better predictor of %dRUP with R² 0.92. The amide I to II ratio was a better predictor of the degraded protein balance with R² 0.93 in the DDGS. In conclusion, the changes in the protein molecular structure α-helix to β-sheet ratio and the amide I to amide II ratio during bioethanol processing (either due to fermentation processing or due to heat drying) were highly associated with estimated protein intestinal digestibility and degraded protein balance, but were not associated with total intestinally absorbed protein supply from the DDGS to dairy cattle. The present study indicates that a potential novel method could be developed based on the protein molecular structure parameters to improve the estimation of protein value after a validation in a large-scale in vivo study is done.

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Year:  2010        PMID: 20594396     DOI: 10.1017/S0007114510002539

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  14 in total

1.  Detecting molecular features of spectra mainly associated with structural and non-structural carbohydrates in co-products from bioEthanol production using DRIFT with uni- and multivariate molecular spectral analyses.

Authors:  Peiqiang Yu; Daalkhaijav Damiran; Arash Azarfar; Zhiyuan Niu
Journal:  Int J Mol Sci       Date:  2011-03-17       Impact factor: 5.923

Review 2.  The protein fraction from wheat-based dried distiller's grain with solubles (DDGS): extraction and valorization.

Authors:  M F Villegas-Torres; J M Ward; G J Lye
Journal:  N Biotechnol       Date:  2015-01-30       Impact factor: 5.079

3.  Protein structures among bio-ethanol co-products and its relationships with ruminal and intestinal availability of protein in dairy cattle.

Authors:  Arash Azarfar; Arjan Jonker; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2013-08-15       Impact factor: 5.923

4.  Structural changes on a molecular basis of canola meal by conditioning temperature and time during pelleting process in relation to physiochemical (energy and protein) properties relevant to ruminants.

Authors:  Xuewei Huang; Huihua Zhang; Peiqiang Yu
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

Review 5.  The Use of Gene Modification and Advanced Molecular Structure Analyses towards Improving Alfalfa Forage.

Authors:  Yaogeng Lei; Abdelali Hannoufa; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2017-01-29       Impact factor: 5.923

6.  Board-invited review: Sensitivity and responses of functional groups to feed processing methods on a molecular basis.

Authors:  Peiqiang Yu
Journal:  J Anim Sci Biotechnol       Date:  2012-12-10

7.  Using synchrotron radiation-based infrared microspectroscopy to reveal microchemical structure characterization: frost damaged wheat vs. normal wheat.

Authors:  Hangshu Xin; Xuewei Zhang; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2013-08-14       Impact factor: 5.923

8.  Relationship between Molecular Structure Characteristics of Feed Proteins and Protein In vitro Digestibility and Solubility.

Authors:  Mingmei Bai; Guixin Qin; Zewei Sun; Guohui Long
Journal:  Asian-Australas J Anim Sci       Date:  2015-11-11       Impact factor: 2.509

9.  Using vibrational infrared biomolecular spectroscopy to detect heat-induced changes of molecular structure in relation to nutrient availability of prairie whole oat grains on a molecular basis.

Authors:  M D Mostafizar Rahman; Katerina Theodoridou; Peiqiang Yu
Journal:  J Anim Sci Biotechnol       Date:  2016-09-09

Review 10.  The Role of Proanthocyanidins Complex in Structure and Nutrition Interaction in Alfalfa Forage.

Authors:  Arjan Jonker; Peiqiang Yu
Journal:  Int J Mol Sci       Date:  2016-05-23       Impact factor: 5.923

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