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Anim Biosci > Accepted Articles
https://doi.org/10.5713/ab.22.0077    [Accepted] Published online June 30, 2022.
Characterization of Intrinsic Molecular Structure Spectral Profiles from Feedstocks and Co-Products from Canola Bio-Oil Processing: Impacted by Source Origin
Peiqiang Yu1,* 
Department of Animal and Poultry Science, College of Agriculture and Bioresources, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK, S7N 5A8, Canada
Correspondence:  Peiqiang Yu, Tel: +1-306-966-4132, Fax: +1-306-966-4132, Email: peiqiang.yu@usask.ca
Received: 1 March 2022   • Revised: 16 May 2022   • Accepted: 17 June 2022
Abstract
Objective
Feed molecular structures can affect its availability to gastrointestinal enzymes which impacting its digestibility and absorption. The molecular spectroscopy-ATR-FTIR is an advanced technique that measures the absorbance of chemical functional groups on the infrared region that we can identify and quantify molecules and functional groups in a feed. The program aimed to reveal the association of 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 characterize special intrinsic carbohydrate and protein-related molecular structure spectral profile of feedstock and co-products (meal and pellets) from bio-oil processing from two source origins: Canada (CA) and China (CH).
Methods
The samples of feedstock and co-products were obtained from five different companies in each country which arranged by the Canola Council of Canada (CCC). The molecular structure spectral features were analyzed using advanced vibrational molecular spectroscopy -ATR-FTIR. The spectral features that accessed included: 1) protein-related spectral features (Amide I, Amide II, α-helix, β-sheet, and their spectral intensity ratios), 2) carbohydrate-related spectral features (TC1, TC2, TC3,TC4, CEC, STC1, STC2, STC3, STC4, TC and their spectral intensity ratios).
Results
The results showed that significant differences were observed on all vibrationally spectral features related to total carbohydrates, structural carbohydrates, and cellulosic compounds (P<0.05), except spectral features of TC2 and STC1 (P>0.05) of co-products, where CH meals presented higher peaks of these structures than CA. Similarly, it was for the carbohydrate-related molecular structure of canola seeds where different between CA and CH except for STC3 height, CEC and STC areas (P>0.05). The protein-related molecular structures were similar for the canola seeds from both countries. However, CH meals presented higher peaks of amide I, α-helix, and β-sheet heights, α-helix:β-sheet ratio, total amide and amide I areas (P<0.05).

Conclusion

The principal component analysis was able to highly explain over 90% of the variabilities in the carbohydrate and protein structures and was not able to separate the samples from the two countries, indicating feedstock and coproducts interrelationship between CH and CA.
Keywords: Carbohydrate Structures; Canola Bio-Oil Processing; Co-Products; Feedstocks; Mid-Infrared; Molecular Structures; Protein 2nd Structures


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