结合ASAP-MS和质谱相似性和二进制代码,用于78种食用花的快速和智能身份验证
Qian Meng1, Jianqing Zhang2, Xiaolan Li2
1National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road #501, Shanghai 201203, China; Shanghai University of Traditional Chinese Medicine, Cailun Road 1200, Shanghai 201203, China.
Food chemistry
|October 20, 2023
概括
本研究介绍了一种使用大气压固体分析探测器 (ASAP) 快速方法来验证食用花的真实性. 该技术在识别78种可食用的花朵方面实现了100%的准确性,为食品安全提供了高通量解决方案.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 准确验证食用花的真实性对于食品安全和质量控制至关重要.
- 传统的认证方法可能是耗时和劳动密集的.
- 需要开发快速,高通量方法来进行大规模的食品样本分析.
研究的目的:
- 开发和验证使用质谱仪对食用花的快速和智能认证方法.
- 建立一个质谱 (MS) 数据库,用于食用花的认证.
- 评估开发的高通量分析方法的有效性.
主要方法:
- 使用大气压固体分析探测器 (ASAP) 快速获取质谱数据 (每样本1-2分钟).
- 创建了一个质谱 (MS) 数据库,来自451批78种食用花的数据库.
- 开发了一种基于选定的离子及其存在/缺失以及MS相似度得分的二进制序列识别方法.
主要成果:
- 通过两种不同的基于MS的方法,成功识别了所有78个食用花样,准确度为100%.
- 生成的二进制序列ID,包括292个正和399个负离子用于认证.
- 实现了高通量分析,证明了该方法对大型食品样本集的可扩展性.
结论:
- 该ASAP-MS方法提供了一个快速,准确和自动化的方法,用于食用花的认证.
- 开发的二进制代码相似性方法为食品样本识别提供了强大的工具.
- 这种高通量认证策略对食品安全和质量保证有重大影响.
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