Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate
Joint Authors
Mao, Chao
Cheng, Yu
Wu, Juan
Zhang, Wenli
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-24
Country of Publication
Egypt
No. of Pages
10
Abstract EN
Principal component analysis (PCA) was used to cluster the possible amino acid compositions of antioxidant peptides in potato protein hydrolysate (PPH).
The antioxidant peptides exhibiting high ABTS+• scavenging capacity were isolated with the procedure of ultrafiltration, gel filtration, and preparative RP-HPLC and identified by UPLC-MS/MS.
Phe, Tyr, and His were shown to group together with ABTS+• scavenging capacity in component matrix plot.
Three prominent peptides, namely, Phe-Tyr, Tyr-Phe-Glu, and Pro-Pro-His-Tyr-Phe, which matched the sequence of patatin and were made up of Phe and Tyr, were identified.
The peptide Tyr-Phe-Glu demonstrated antioxidant activity against Caco-2 cell oxidation induced by H2O2.
The results suggested that multivariate analysis could be used to predict the amino acid compositions of antioxidant peptides.
American Psychological Association (APA)
Wu, Juan& Mao, Chao& Zhang, Wenli& Cheng, Yu. 2020. Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate. Journal of Food Quality،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1185006
Modern Language Association (MLA)
Wu, Juan…[et al.]. Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate. Journal of Food Quality No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1185006
American Medical Association (AMA)
Wu, Juan& Mao, Chao& Zhang, Wenli& Cheng, Yu. Prediction and Identification of Antioxidant Peptides in Potato Protein Hydrolysate. Journal of Food Quality. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1185006
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185006