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Sample Class Prediction (SCP) models are powerful tools that can use mass spectrometry data from highly complex samples to identify differences in sample classes.
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本文使用帶高靈敏的Extractor EI 離子源的Agilent 5977A 系列GC/MSD，利用非目標(biāo)化合物分析和統(tǒng)計(jì)工具，對(duì)化合物進(jìn)行分析，以區(qū)分五種不同品牌的威士忌。
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