Molecular basis of processing-induced changes in protein structure in relation to intestinal digestion in yellow and green type pea (Pisum sativum L.): A molecular spectroscopic analysis

Yu, Gloria Qingyu; Warkentin, Thomas D.; Niu, Zhiyuan; Khan, Nazir Ahmad; Yu, Peiqiang

doi:10.1016/j.saa.2015.06.050

Cited by 29 publications

(22 citation statements)

References 27 publications

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“…Prominent absorbance peaks and troughs occurred at the same characteristic wavelengths across all samples, which agreed with current literature [15][16][17][18][19][20]. Visually, peaks relating to lipids were slightly higher for the husk samples compared to endosperm measurements.…”

Section: Features Of the Mid-infrared Spectrasupporting

confidence: 89%

“…Peaks relating to carbohydrates appeared higher for the starchy endosperm samples. The broad peak between 3500 and 3000 cm -1 is predominantly due to stretching vibrations of hydroxyl groups (O-H) of water [15][16][17][18][19][20]. Peaks between 3000 and 2700 cm -1 related to asymmetric (2917 cm -1 ) and symmetric (2859 cm -1 ) vibration of C-H bonds of aliphatic CH 2 groups of the fatty acid backbone.…”

Section: Features Of the Mid-infrared Spectramentioning

confidence: 99%

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Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

Gordon

Chapman

Power

et al. 2019

Journal of Cereal Science

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Mid-infrared spectroscopy coupled with chemometrics was used to identify spectral differences in malt barley associated with region (e.g. rainfall, temperature and sunlight). The observed differences in the MIR spectra confirmed that different environmental conditions of the region they are grown, explain or modulate changes in the chemical composition of the grain. Principal component analysis (PCA) was performed to identify underlying patterns and correlations in the data set. Partial least squares (PLS) regression with cross-validation was applied to develop models to predict the regions using the weather variables, the MIR fingerprint region and a combination of both. The PLS model with the combined data predicted the growing location with the standard error of cross-validation (SECV) of 3.38%, an R 2 value of 0.53, a slope of 0.52 and a bias of 0.23. The exploratory approach demonstrated the usefulness of chemometrics to identify differences and similarities based on the MIR spectra. The results provided a solid foundation for hypothesising the overall degree of biochemical similarity and or difference among the samples and a quantifiable method to screen samples for further analysis.

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Section: Features Of the Mid-infrared Spectrasupporting

confidence: 89%

Section: Features Of the Mid-infrared Spectramentioning

confidence: 99%

Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

Gordon

Chapman

Power

et al. 2019

Journal of Cereal Science

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“…Except for soluble carbohydrates, most polysaccharides are slowly degraded in the rumen. In addition, the beta sheet structure of protein is resistant to rumen degradation because of its resistance to microbes and enzymes . This negative relationship between beta sheet and protein degradation could partially explain the negative correlation between beta sheet and DM degradation.…”

Section: Resultscontrasting

confidence: 52%

“…In addition, the beta sheet structure of protein is resistant to rumen degradation because of its resistance to microbes and enzymes. 24 This negative relationship between beta sheet and protein degradation could partially explain the negative correlation between beta sheet and DM degradation. Both alpha helix and beta sheet were reported to relate negatively to DM degradation in barley and distillers dried grains with solubles (DDGS), although coefficients were not significant.…”

Section: Correlations Between Spectra Parameters and Nutrition Profilmentioning

confidence: 99%

Effects of silencing TT8 and HB12 on in vitro nutrients degradation and VFA production in relation to molecular structures of alfalfa (Medicago sativa)

Lei

Hannoufa

Wang³

et al. 2019

J Sci Food Agric

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BACKGROUND Transparent Testa8 (TT8) and Homeobox12 (HB12) are two transcriptional factors in plant phenylpropanoid pathways and were reported to be positively related to lignin content. Alfalfa with silenced TT8 (TT8i) and HB12 (HB12i) was therefore generated using the RNA interference (RNAi) technique. Although lignin was found to be high in HB12i, such gene‐silencing of alfalfa resulted in nutrient profiles that might be suitable for grazing. To extend the nutritional evaluation of transformed alfalfa, ground samples of 11 HB12i, 5 TT8i and 4 wild type (WT) were incubated in rumen fluid : buffer solution for 0, 2, 4, 8, 12, 24 and 48 h at 39 °C. Dry matter (DM) and neutral detergent fiber (NDF) degradations at each time point, and production of volatile fatty acids (VFA) at 4, 12, 24 and 48 h were analyzed, as well as degradation and production kinetics. The correlations and regressions between nutritive profiles and attenuated total reflection Fourier transform infrared (ATR‐FTIR) spectral parameters were determined. RESULTS Both transformed genotypes had lower DM degradation and HB12i had lower VFA production compared with WT. Structural carbohydrate (STC) parameters were found to be negatively correlated with DM degradation and VFA production. The kinetics of DM degradation and VFA production were predicted from spectral parameters with good estimation power. CONCLUSION Silencing of HB12 and TT8 affected fermentation characteristics of alfalfa and some fermentation characteristics were predictable from spectral parameters using ATR‐FTIR spectroscopy. © 2019 Society of Chemical Industry

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“…Content and composition of feed and the physical structure of protein molecule both affect the protein utilization in animals. Yu et al [11] reported that ruminal degradation characteristics and post-ruminal protein availability were affected by the intrinsic molecular structure of the feed protein. Understanding protein digestibility and utilization through protein intrinsic molecular structures could be a potential method to replace the traditional chemical analysis and animal trials.…”

Section: Introductionmentioning

confidence: 99%

Using advanced vibrational molecular spectroscopy to detect moist heating induced protein structure changes in cool-climate adapted barley grain

et al. 2020

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Different techniques have been applied in feed processing to improve ruminal degradation and nutrient utilization in ruminant. There are limited studies investigating how moist heating process impacts barley protein utilization and internal molecular structures. The objectives of this study were to investigate: 1) how moist heating affects barley protein chemical profiles and Cornell Net Carbohydrate and Protein System (CNCPS) subfractions, in situ rumen degradation parameters, and predicted intestinal protein supply and feed milk value; 2) how moist heating affects protein molecular spectral features; and 3) the relationship between protein molecular structure spectral features and protein chemical profiles and metabolic characteristics. The barley variety CDC cowboy samples collected from the research farm during two consecutive years were used. Half of each sample was kept as raw and the other half underwent moist heating. The advanced molecular spectroscopy (attenuated total reflectance-fourier transform infrared, ATR-FTIR) was used to detect the barley protein molecular structure spectral features. It was found that moist heating decreased the fractions of soluble protein and increased the moderately degradable protein and ingestible protein fractions. This further resulted in the changes of in situ rumen degradation parameters and intestinal protein digestion characteristics. The protein molecular structure spectral features detected by using ATR-FTIR spectroscopy can be used as potential predictors for protein related chemical and metabolic parameters.

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Molecular basis of processing-induced changes in protein structure in relation to intestinal digestion in yellow and green type pea (Pisum sativum L.): A molecular spectroscopic analysis

Cited by 29 publications

References 27 publications

Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

Mid-infrared spectroscopy coupled with chemometrics to identify spectral variability in Australian barley samples from different production regions

Effects of silencing TT8 and HB12 on in vitro nutrients degradation and VFA production in relation to molecular structures of alfalfa (Medicago sativa)

Using advanced vibrational molecular spectroscopy to detect moist heating induced protein structure changes in cool-climate adapted barley grain

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