在植物样本中识别和定量确定有毒抗代谢物L-canavanine的HPTLC方法
Maria Victoria Castelli1, Gina Rustichelli Millán2, Juan Ignacio Poo2
1Farmacognosia, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, CONICET, Suipacha 531, Rosario 2002LRK, Santa Fe, Argentina.
Food chemistry
|January 31, 2026
概括
一种新的高性能薄层染色学 (HPTLC) 方法准确量化了植物食品中的L-canavanine. 这种经过验证的技术对于分析可食豆类和料中的L-canavanine具有成本效益.
科学领域:
- 分析化学 分析化学
- 植物科学 植物科学
- 食品科学 食品科学 食品科学
背景情况:
- 在豆类中发现的氨酸类似物L-Canavanine具有抗代谢和有毒性.
- 准确量化L-canavanine对于评估食品安全和潜在的健康影响至关重要.
- 现有的分析方法可能缺乏常规分析所需的简单性,选择性或成本效益.
研究的目的:
- 开发和验证一种简单,选择性和成本效益高的高性能薄层染色学 (HPTLC) 方法.
- 为了使可靠的识别和量化L-canavanine在各种植物衍生的矩阵.
- 确保该方法适用于食品和料样本的常规分析.
主要方法:
- 在使用乙醇-28%氧化移动相的凝板上进行色谱分离.
- 用ninhydrin进行后染色学衍生.
- 密度计检测在500nm,根据ICH Q2和R2指南进行验证.
主要成果:
- 在50.0-400.0 ng/band.band.范围内,HPTLC方法表现出良好的线性.
- 达到的检测极限 (16.3 ng) 和量化极限 (49.5 ng) 表示高灵敏度.
- 在L-canavanine和L-arginine之间观察到出色的染色分辨率.
结论:
- 开发的HPTLC方法是L-canavanine分析的验证,可靠和成本效益高的工具.
- 该方法适用于常规量化料,食品矩阵和食用豆类.
- 这有助于更好地评估农产品中L-canavanine的含量.
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