羟脯氨酸
明胶
色谱法
单变量
化学
主成分分析
假阳性悖论
生物化学
多元统计
计算机科学
数学
人工智能
统计
作者
Mohd Hafis Yuswan,Nurul Hanani A. Jalil,Haslina Mohamad,Shamsidah Keso,Nurhidayatul Asma Mohamad,Tengku Shahrul Tengku Md. Yusoff,Nor Falahiah Ismail,Yanty Noorzianna Abdul Manaf,Amalia Mohd Hashim,Mohd Nasir Mohd Desa,Yus Aniza Yusof,Shuhaimi Mustafa
出处
期刊:Food Chemistry
[Elsevier]
日期:2021-02-01
卷期号:337: 127762-127762
被引量:34
标识
DOI:10.1016/j.foodchem.2020.127762
摘要
Gelatin and collagen are considered halal-critical ingredients as they are typically derived from either bovine or porcine animals. Current analytical methods for determining the sources of gelatin and collagen suffer from limitations in terms of robustness and false positives in peptide matching. Thus, the aim of this study was to investigate the utility of monitoring hydroxyproline, a signature amino acid for gelatin and collagen, for identifying potentially haram foodstuffs. To determine the hydroxyproline profiles among animal- and plant-based samples, one-way univariate analysis of variance followed by pair-wise comparison was used to establish statistical significance. Multivariate chemometric analysis through principal component analysis revealed a discrete distribution pattern among 59 samples due to hydroxyproline variability. Finally, inter- and intra-laboratory comparisons demonstrated the validity and robustness of hydroxyproline determination according to ISO 17025. Thus, this preliminary identification technique will aid the identification of potentially haram foodstuffs.
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