通过数字化和化学预处理提高HPTLC对蔓越补充剂的分析可重复性
Mengliang Zhang1, Jianghao Sun2, Elizabeth Corwin3
1Department of Chemistry and Biochemistry, Ohio University, Athens, OH, 45701.
Journal of AOAC International
|June 30, 2025
概括
数字化高性能薄层染色学 (HPTLC) 和化学测量方法的应用显著降低了植物补充剂分析的可变性. 这提高了可复制性和准确性,以可靠地控制食补充剂的质量.
科学领域:
- 分析化学 分析化学
- 化学测量 化学测量 化学测量
- 植物学分析 植物学分析
背景情况:
- 高性能薄层染色学 (HPTLC) 对于植物补充剂的质量控制至关重要.
- 传统的HPTLC解释存在主观性和板间变异性,限制了可重现性.
研究的目的:
- 通过数字化和化学计量预处理,提高HPTLC的可复制性和分析效用.
- 通过使用先进的分析技术,提高蔓越饮食补充剂的质量评估.
主要方法:
- 标准化HPTLC协议适用于各种蔓越补充剂.
- 染色图的数字化具有多个衍生和成像条件.
- 化学测量预处理包括规范化,保留因子 (RF) 调整,PCA和ANOVA-PCA.
主要成果:
- 数字化和预处理工作流显著降低了板块变化率 (23%至11%).
- 保持因子 (RF) 调整增加了样本类型变异 (59%至79%),改善了分类.
- 来自多种条件的综合数据增强了化学指纹和PCA聚类.
结论:
- 数字化HPTLC与化学计量预处理实现了植物指纹的现代化,提高了可复制性和可解释性.
- 这种方法支持植物产品的强有力的质量控制,促进数据透明度和可重复使用性.
- 化学测量分析有助于基于数据的质量评估,并提高样品分类的准确性.
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