Evaluating a rapid enzymatic assay vs. ultra-high performance liquid chromatography for free asparagine determination in pea and lentil seeds

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-05-01 Epub Date: 2025-02-04 DOI:10.1016/j.jfca.2025.107333
Amanda G.A. Sá , Zeta Ward , Allegra Crang , Jason Neufeld , Kirstin E. Bett , Thomas D. Warkentin , James D. House
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Abstract

Acrylamide, a class 2 A carcinogen, raises significant food safety concerns. The free amino acid asparagine (ASN) is a precursor of acrylamide formation in foods after high-temperature processing; therefore, accurate measurement of free ASN is essential for risk assessment. This study aimed to compare free ASN determination methods, using a novel rapid enzymatic assay with an established ultra-high-performance liquid chromatography (UHPLC) method, in seeds of field pea (Pisum sativum L.) and lentil (Lens culinaris), important crops and sources of plant-based protein. Quality parameters, such as sensitivity, percentage error, and precision were evaluated. The rapid enzymatic assay demonstrated consistent low percentage error (< 1.7 %) and high precision (CV% < 1.20) compared to the UHPLC technique (error from 4.9 % to 14.8 % and CV% < 0.94). A high Pearson correlation (r > 0.996) between techniques confirmed the enzymatic assay’s reliability for routine asparagine quantification in simple laboratory and industrial settings. These findings support the potential of using a reliable, rapid, and user-friendly technique that eliminates the requirements of sophisticated instrumentation and complex sample preparation for free ASN analysis, and underscore the need for further research on pulse flour to manage acrylamide risks effectively in processed foods.
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快速酶法与超高效液相色谱法测定豌豆和小扁豆种子中游离天冬酰胺的比较
丙烯酰胺是一种2a级致癌物,引起了人们对食品安全的严重担忧。游离氨基酸天冬酰胺(ASN)是高温加工后食品中丙烯酰胺形成的前体;因此,准确测量免费ASN对于风险评估至关重要。本研究旨在比较采用新型快速酶法和已建立的超高效液相色谱(UHPLC)法测定大田豌豆(Pisum sativum L.)和小扁豆(Lens culinaris)种子中游离ASN的方法,这两种作物是重要的植物性蛋白质来源。评估了质量参数,如灵敏度、百分比误差和精度。快速酶分析显示一致的低百分比误差(<;1.7 %),高精度(CV% <;1.20)与UHPLC技术相比(误差从4.9 %到14.8 %,CV% <;0.94)。两种技术之间的高Pearson相关性(r >; 0.996)证实了酶法在简单实验室和工业环境中常规天冬酰胺定量的可靠性。这些发现支持了使用可靠、快速和用户友好的技术的潜力,该技术消除了免费ASN分析对精密仪器和复杂样品制备的要求,并强调了对脉冲面粉进行进一步研究以有效管理加工食品中丙烯酰胺风险的必要性。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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