Investigating Molecular Structures of Bio-Fuel and Bio-Oil Seeds as Predictors To Estimate Protein Bioavailability for Ruminants by Advanced Nondestructive Vibrational Molecular Spectroscopy

Ban, Yajing; Prates, Luciana L.; Yu, Peiqiang

doi:10.1021/acs.jafc.7b02239

Cited by 8 publications

(14 citation statements)

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“…Yu and Samadi [37] found that the ratio of α-helix to β-sheet was altered by the moist heating of soybean and canola seeds. The alteration in the ratio of α-helix to β-sheet by thermal treatment was also reported by [38]. The changes in the secondary structure of the protein are possibly related to the denaturation of α-helix and β-sheet during thermal treatment.…”

Section: Discussionsupporting

confidence: 63%

Interactive association between processing induced molecular structure changes and nutrient delivery on a molecular basis, revealed by cutting-edge vibrational biomolecular spectroscopy

Ismael

Guevara-Oquendo

Refat

et al. 2019

J Animal Sci Biotechnol

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BackgroundThis study was conducted to determine protein molecular structure profiles and quantify the relationship between protein structural features and protein metabolism and bioavailability of blend pelleted products (BPP) based on co-products (canola or carinata) from processing with different proportions of pulse pea screenings and lignosulfonate chemical compound.MethodThe protein molecular structures were determined using the non-invasive advanced vibrational molecular spectroscopy (ATR-FT/IR) in terms of chemical structure and biofunctional groups of amides (I and II), α-helix and β-sheet.ResultsThe results showed that increasing the level of the co-products in BPP significantly increased the spectral intensity of the amide area and amide height. The products exhibited similar protein secondary α-helix to β-sheet ratio. The protein molecular structure profiles (amides I and II, α-helix to β-sheet) were highly associated with protein degradation kinetics and intestinal digestion. In conclusion, the non-invasive vibrational molecular spectroscopy (ATR-FT/IR) could be used to detect inherent structural make-up characteristics in BPP.ConclusionThe molecular structural features related to protein biopolymer were highly associated with protein utilization and metabolism.Electronic supplementary materialThe online version of this article (10.1186/s40104-019-0384-z) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 63%

Interactive association between processing induced molecular structure changes and nutrient delivery on a molecular basis, revealed by cutting-edge vibrational biomolecular spectroscopy

Ismael

Guevara-Oquendo

Refat

et al. 2019

J Animal Sci Biotechnol

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“…However, there was an inconsistency in the wavenumber of the second TC peak, either ca. ~1100 cm −1 or ~1075, in published studies [ 10 , 15 , 18 , 19 , 20 ]. This inconsistency indicates that there were individual peaks at these two wavenumbers; however, one of them might have overlapped with other peaks because of the feature of FTIR spectra [ 21 ].…”

Section: Resultsmentioning

confidence: 99%

Molecular Structural Changes in Alfalfa Detected by ATR-FTIR Spectroscopy in Response to Silencing of TT8 and HB12 Genes

Lei

Hannoufa

Christensen

et al. 2018

IJMS

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This study investigated the spectral changes in alfalfa molecular structures induced by silencing of Transparent Testa 8 (TT8) and Homeobox 12 (HB12) genes with univariate and multivariate analyses. TT8-silenced (TT8i), HB12-silenced (HB12i) and wild type (WT) alfalfa were grown in a greenhouse under normal conditions and were harvested at early-to-mid vegetative stage. Samples were free-dried and grounded through 0.02 mm sieve for spectra collections with attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy. Afterwards, both univariate and multivariate analyses were conducted on amide, carbohydrate and lipid regions. Univariate results showed that silencing of TT8 and HB12 genes affected peak heights of most total carbohydrate (TC) and structural carbohydrate (STC), and structural carbohydrate area (STCA) in carbohydrate regions; and β-sheet height, amide areas, and ratios of amide I/II and α-helix/β-sheet in amide region; and symmetric CH2 (SyCH2), asymmetric CH2 (AsCH2) and (a)symmetric CH2 and CH3 area (ASCCA) in the lipid region. Multivariate analysis showed that both hierarchy cluster analysis (HCA) and principal component analysis (PCA) clearly separated WT from transgenic plants in all carbohydrate regions and (a)symmetric CH2 and CH3 (ASCC) lipid region. In the amide region, PCA separated WT, TT8i and HB12i into different groups, while HCA clustered WT into a separate group. In conclusion, silencing of TT8 and HB12 affected intrinsic molecular structures of both amide and carbohydrate profiles in alfalfa, and multivariate analyses successfully distinguished gene-silenced alfalfa from its parental WT control.

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“…Several studies (Theodoridou et al, 2013b;Cheng et al, 2014;Ban et al, 2017) rereported the relationship between spectral feature collected from different spectroscopic techniques DRIFT, Synchrotron IMS, ATR-FTIR molecular spectroscopy and nutrition. However, there was no systematic relationship study in canola seeds and meal in a large scale.…”

Section: A C C E P T E D a R T I C L Ementioning

confidence: 99%

“…As an alternative to time consuming wet laboratory analysis, different infrared spectroscopy methods have gained space in animal nutrition [2,3]. Spectroscopy is being used because it studies matters though its interaction with light quickly and without damaging the sample.…”

Section: Introductionmentioning

confidence: 99%

“…The attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) analyzes the interaction of matter with infrared light on the mid-infrared region (ca. 4000 to 800 cm -1 ) in a quick and non-destructive manner [2]. This is different from the wet analyses that use chemicals and procedures that can damage structures and alter the composition and digestibility of feeds [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Quantitation of relationship and development of nutrient prediction with vibrational molecular structure spectral profiles of feedstocks and co-products from canola bio-oil processing

Oliveira

2023

Anim Biosci

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Background and ObjectiveConventional methods for laboratory analysis are reliable but require excessive labor, time, chemicals, and amounts of samples. For these reasons, alternative methods have been explored. ATR/FTIR spectroscopy is technique that analyzes samples simply by shooting a bright light and measuring the absorbance at the mid-infrared range. This program aimed to reveal the association of feed intrinsic molecular structure with nutrient supply to animals from canola feedstocks and co-products from bio-oil processing. The special objective of this study was to quantify the relationship between molecular spectral feature and nutrient availability and develop nutrient prediction equation with vibrational molecular structure spectral profiles. MethodThe samples of feedstock (canola oil seeds) and co-products (meals and pellets) from different bio-oil processing plants in different countries: Canada (CA) and China (CH) were submitted to this molecular spectroscopic technique and their protein and carbohydrate related molecular spectral features were associated with the nutritional results obtained through the conventional methods of analyses for chemical and nutrient profiles, rumen degradable and intestinal digestible parameters. The procedure CORR was used at SAS 9.4 to determine the strength of the The STCA (ca. 1487.8 -1190.8 cm -1 ) was the carbohydrate structure that was most significant when related to various carbohydrate parameters of canola meals (P<0.05, r>0.50). And TCA (ca.1198.5 -934.3 cm -1 ) was most significant when studying the various carbohydrate parameters of canola seeds (P<0.05, r>0.50). The spectral amide structures (ca. 1721.2 -1480.1 cm -1 ) were related to a few chemical and nutrient profiles, CNCPS fractions, truly absorbable nutrient supply based on DVE/OEB, and NRC systems, and intestinal in vitro protein-related parameters in coproducts (canola meals). Besides the spectral amide structures, α-helix height (ca. 1650.8 -1643.1 cm -1 ) and β-sheet height (ca. 1633.4 -1625.7 cm -1), and the ratio between them have shown to be related to many protein-related parameters in feedstock (canola oil seeds). Multi-regression analysis resulted in moderate to high R 2 values for some protein related equations for feedstock (canola seeds). Protein related equations for canola meals and carbohydrate related equations for canola meals and seeds resulted in weak R 2 and low P values (P<0.05). ConclusionThe ATR/FTIR vibrational molecular spectroscopy can be a useful resource to predict carbohydrate and protein-relates nutritional aspects of canola seeds and meals based on certain carbohydrate and protein spectral features inherent to canola seeds and meals.

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Investigating Molecular Structures of Bio-Fuel and Bio-Oil Seeds as Predictors To Estimate Protein Bioavailability for Ruminants by Advanced Nondestructive Vibrational Molecular Spectroscopy

Cited by 8 publications

References 38 publications

Interactive association between processing induced molecular structure changes and nutrient delivery on a molecular basis, revealed by cutting-edge vibrational biomolecular spectroscopy

Interactive association between processing induced molecular structure changes and nutrient delivery on a molecular basis, revealed by cutting-edge vibrational biomolecular spectroscopy

Molecular Structural Changes in Alfalfa Detected by ATR-FTIR Spectroscopy in Response to Silencing of TT8 and HB12 Genes

Quantitation of relationship and development of nutrient prediction with vibrational molecular structure spectral profiles of feedstocks and co-products from canola bio-oil processing

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