AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home Food Science Article
PDF (8.9 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Publishing Language: Chinese | Open Access

Effects of Antifreeze Peptide Properties on Myofibrillar Proteins in Frozen Surimi Investigated Using Least Absolute Shrinkage and Selection Operator Regression Model

Chengzhi YUAN1,2 , Faxiang WANG1,2, Yiqun HUANG1,2, Jian YU1,2, Yongle LIU1,2, Yi SHI3, Jinhong WU3 ( ), Shaoyun WANG4, Xianghong LI1,2 ( )
School of Food Science and Bioengineering, Changsha University of Science and Technology, Changsha 410114, China
Hunan Food Processing Engineering and Technology Research Center for Aquatic Resources, Changsha 410114, China
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China
Show Author Information

Abstract

In order to investigate the influence of antifreeze peptide properties on its protective effect on myofibrillar proteins in frozen surimi, the present study was conducted to characterize the properties of three antifreeze peptides (sericin peptides, collagen peptides and silver carp hydrolysates), and we analyzed the changing pattern of myofibrillar protein properties under different freezing conditions, and constructed a correlation model between myofibrillar protein properties and frozen storage parameters and antifreeze peptide properties using least absolute shrinkage and selection operator (Lasso) regression. The results showed that all antifreeze peptides used in the study were “hyperactive” antifreeze peptides with thermal hysteresis activity (THA) (> 0.60 ℃ ), low molecular mass (< 10000 Da), high hydrophilicity (θ < 30°), and polar amino acid content of more than 60%; the antifreeze peptides were able to significantly mitigate the negative effects of frozen storage on myofibrillar proteins. The mean content of myofibrillar proteins in frozen surimi with added antifreeze peptides was 50.44-54.47 mg/g, the mean Ca2+-ATPase activity was 1.61-1.67 U/mg, the mean surface hydrophobicity index increased only by 39.91%-42.40% when compared with that of fresh surimi, and the rate of myofibrillar protein denaturation was much lower than that of the control group without antifreeze peptides. The Lasso regression model explained the effects of antifreeze peptide properties on changes in the properties of myofibrillar protein in frozen surimi, demonstrating that antifreeze peptides with lower molecular mass and higher THA contributed to slowing down the decline in myofibrillar protein content, Ca2+-ATPase activity, surface hydrophobicity, and characteristic indexes. The differences in the hydrophilicity/hydrophobicity of antifreeze peptides resulted in differences in their interactions with ice crystals and proteins, and consequently caused different effects on surimi myofibrillar proteins. This study provides a theoretical basis for the application of antifreeze peptides and the quality regulation of surimi products and also provides a direction for the development of novel efficient antifreeze agents.

CLC number: TS254.4 Document code: A Article ID: 1002-6630(2024)13-0008-09

References

【1】
【1】
 
 
Food Science
Pages 8-16

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
YUAN C, WANG F, HUANG Y, et al. Effects of Antifreeze Peptide Properties on Myofibrillar Proteins in Frozen Surimi Investigated Using Least Absolute Shrinkage and Selection Operator Regression Model. Food Science, 2024, 45(13): 8-16. https://doi.org/10.7506/spkx1002-6630-20230912-096

763

Views

9

Downloads

0

Crossref

3

Scopus

2

CSCD

Received: 12 September 2023
Published: 15 July 2024
© Beijing Academy of Food Sciences 2024.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).