构建内部图书馆与NIST/NIJ DART-MS数据解释工具一起使用
Arun S Moorthy1, Christany Liggins2, J Tyler Davidson2
1Department of Forensic Science, Trent University, Peterborough, ON K9L 0G2, Canada.
Journal of the American Society for Mass Spectrometry
|December 17, 2025
概括
两个新的程序简化了为NIST/NIJ DART-MS数据解释工具创建质谱库. 这些工具帮助研究人员建立全面的或较小的内部光谱数据库.
科学领域:
- 分析化学 分析化学
- 法医科学 法医科学 法医科学
- 计算化学的计算化学
背景情况:
- 质谱库对于识别未知化合物,使用实时质谱直接分析 (DART-MS) 等技术至关重要.
- 图书馆建设的现有方法可能是复杂的或计算密集的,这对一些研究人员来说是一个障碍.
- 为了准确分析,NIST/NIJ DART-MS 数据解释工具需要特定的库格式.
研究的目的:
- 介绍两个用户友好的软件程序,旨在构建质谱图书馆.
- 提供与NIST/NIJ DART-MS数据解释工具 (3.22版本) 兼容的工具.
- 为了满足不同的用户需求,从大规模的图书馆生成到更小的内部研究数据库.
主要方法:
- 开发完整数据库构建程序,这是基于现有NIST协议的修改脚本.
- 开发基本数据库构建程序,旨在简化和减少计算要求.
- 实施这些程序以生成符合NIST DART-MS规范的质谱库.
主要成果:
- 成功创建了两个不同的程序,用于质谱图书馆的建设.
- 完整的数据库构建器生成符合NIST DART-MS库构建器规格的库.
- 基本数据库构建器为具有有限计算资源或构建较小库的用户提供了一种简化方法.
结论:
- 提出的项目提供了可访问的解决方案,用于构建用于DART-MS分析的质谱图书馆.
- 研究人员现在可以更容易地创建和管理用于法医和分析应用的光谱数据库.
- 综合和简化工具的可用性提高了DART-MS数据解释的实用性.
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