质谱检测数据的自动化定量分析方法、系统、设备、介质及程序产品

By automating the construction and screening of standard curves for mass spectrometry detection data, the problem of instability in quantitative results caused by reliance on manual operation in existing technologies has been solved, achieving efficient and stable quantitative analysis of mass spectrometry detection data.

CN122016992BActive Publication Date: 2026-07-17SHANGHAI BIOTREE

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI BIOTREE
Filing Date
2026-04-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the construction of standard curves for mass spectrometry detection data relies on manual operation and lacks an adaptive optimization mechanism, resulting in poor stability and consistency of quantitative results.

Method used

By using automated quantitative analysis methods, mass spectrometry detection data is obtained, at least two candidate standard curves are constructed, target standard curves are screened using multidimensional evaluation indicators, and internal standard data is automatically switched to reconstruct the curve when preset conditions are not met, thus forming a closed-loop optimization mechanism.

Benefits of technology

It enables adaptive selection of standard curves without human intervention, improves the stability and consistency of quantitative results, reduces the intensity of manual operation, and enhances data processing efficiency.

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Abstract

本申请提供一种质谱检测数据的自动化定量分析方法、系统、设备、介质及程序产品,方法包括:获取混合标准样本的质谱检测数据并基于质谱检测数据确定目标分析物的响应信号;基于响应信号构建至少两条用于描述目标分析物的响应信号与其浓度之间对应关系的候选标准曲线;基于至少一个评价指标对候选标准曲线进行筛选,以确定满足预设条件的目标标准曲线;在候选标准曲线不满足预设条件时,自动切换内标数据,重新构建候选标准曲线并执行筛选,直至获得目标标准曲线;基于目标标准曲线对待分析样本进行定量浓度计算,以得到目标分析物的定量分析结果。本申请实现了质谱检测数据定量分析的全流程自动化处理,降低了人工操作强度并提升数据处理效率。
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