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Automatic identification peaks in chromatographic fingerprints based on fuzzy matching

机译:基于模糊匹配的色谱指纹图谱自动识别峰

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摘要

Aiming at the problem of retention time shift in chromatographic fingerprints of herbal medicine, a method for automatic identification peaks based on fuzzy matching was proposed, which extracted features according to relative retention factor, introduced the principles of “maximal matching degree” and “beyond threshold value”. The method was successfully applied in the experiment on the 28 chromatographic fingerprints of different batches of Exocarpium Citrus Grandis. The results showed that the scheme could avoid the shortcomings of previous algorithms, such as requirement for expertise and complex operations, and provided a new idea for rapid, effective identification common peaks and extraction common pattern without manual supervision.
机译:针对草药色谱指纹图谱中保留时间偏移的问题,提出了一种基于模糊匹配的峰自动识别方法,根据相对保留因子提取特征,介绍了“最大匹配度”和“超过阈值”的原理。价值”。该方法已成功应用于不同批次外果皮的28个色谱指纹图谱。结果表明,该方案可以避免以往算法的缺点,如需要专业知识和操作复杂等缺点,为无需人工监督即可快速,有效地识别常用峰和提取常用模式提供了新思路。

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