Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 3, 28 April 2023
Open
Access | Article
Comparison of meat nutritions and flavor between Chinese Yanbian yellow cattle and Simmental cattle
* Author to whom correspondence should be addressed.
Abstract
This research explored the difference between Chinese Yanbian yellow Beef and Simmental Beef in nutrients, meat quality and flavor, aimed at providing a basis for the development of Chinese Yanbian yellow cattle resources. Eight Chinese Yanbian yellow cattle and eight Simmental cattle were selected in this experiment. All the experimental cattle were fenced to 30 months of age under the same feeding conditions and slaughtered to determine the quality and flavor substance content of beef. The results showed that the contents of crude protein, ether extract and various amino acids in Chinese Yanbian yellow beef were significantly higher than those in Simmental beef (P<0.05). The shear force of Chinese Yanbian yellow beef was significantly lower than that of Simmental beef (P<0.05). The results of Gas chromatography. mass spectrometry (GC-MS) also showed that the kinds of flavor substances in Chinese Yanbian yellow beef were more than those in Simmental beef. In conclusion, the nutritional level and flavor of Chinese Yanbian yellow beef are better than those of Simmental beef. In conclusion, the nutritional level and flavor of Chinese Yanbian yellow beef are better than those of Simmental beef.
Keywords
Chinese Yanbian yellow cattle, Simmental cattle, meat quality, nutrition content, flavor
References
1. Vahmani P, Ponnampalam E N, Kraft J, et al. Bioactivity and health effects of ruminant meatlip-ids. Invited review[J]. Meat Sci, 2020, l65:108114.
2. H Y Xu 1, J Shao 1, B Z Yin, et al. Bovine bta-microRNA-1271 Promotes Preadipocyte Differentiation by Targeting Activation Transcription Factor 3[J] . Biochemistry (Mosc), 2020,85(7):749-757.
3. Michael P Heaton, Timothy P L Smith, Derek M Bickhart, et al. A Reference Genome Assembly of Simmental Cattle, Bos taurus taurus[J]. Journal of Heredity, 2021 ,112(2):184- 191.
4. Xiaoyu Yin, Yichao Lv, Rongxin Wen, et al. Characterization of selected Harbin red sausages on the basis of their flavour profiles using HS-SPME-GC/MS combined with electronic nose and electronic tongue[J]. Meat Sci, 2021,172:108345.
5. Mónica Bueno, Virginia C Resconi, M Mar Campo, et al. Development of a robust HS-SPME- GC-MS method for the analysis of solid food samples. Analysis of volatile compounds in fresh raw beef of differing lipid oxidation degrees[J]. Food Chem,2019 ,281:49-56.
6. Guoshun Chen, Yingyu Su, Lianghong He, et al. Analysis of volatile compounds in pork from four different pig breeds using headspace solid-phase micro-extraction/gas chromatography- mass spectrometry[J]. Food Sci Nutr,2019 ,7(4):1261-1273.
7. J.F. Hocquette, F. Gondret, E. Ba´eza, et al. Pethick,Intramuscular fat content in meat-producing animals: development, genetic and nutritional control, and identification of putative markers[J]. Animal, 2010,4:303–319.
8. Zilin Yu, Hongrui Jiang, Rongcan Guo, et al. Taste, umami-enhance effect and amino acid sequence of peptides separated from silkworm pupa hydrolysate[J]. Food Res Int. 2018 ,108:144-150.
9. Zhangcheng Liang, Xiaozi Lin, Zhigang He, et al. Amino acid and microbial community dynamics during the fermentation of Hong Qu glutinous rice wine[J]. Food Microbiol. 2020 Sep;90:103467.
10. Hye Jin Lee, Min Jung Lee, Yun-Jeong Choi, et al. Free Amino Acid and Volatile Compound Profiles of Jeotgal Alternatives and Its Application to Kimchi[J]. Foods,2021,10(2):423.
11. Xiaoxiao Feng, Yufei Hua. The precursors of C8 alcohols from soybean: Purification, distribution and hydrolysis properties of glycosidically bound volatiles[J]. J Food Sci, 2022 ,87(1):178-192.
12. Guoshun Chen, Yingyu Su, Lianghong He, et al. Analysis of volatile compounds in pork from four different pig breeds using headspace solid-phase micro-extraction/gas chromatography- mass spectrometry[J]. Food Sci Nutr,2019,7(4):1261-1273.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Biological Engineering and Medical Science (ICBioMed 2022), Part I
- ISBN (Print)
- 978-1-915371-25-6
- ISBN (Online)
- 978-1-915371-26-3
- Published Date
- 28 April 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/3/20220165
- Copyright
- 28 April 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited