目的 建立不同厂家和品牌油漆稀释剂的鉴别方法。方法 利用超快速气相色谱-电子鼻分析（E-Nose）技术对37种油漆稀释剂样本进行分析,采用主成分分析（principal component analysis,PCA）方法进行数据处理并建立样本识别模型。结果 通过超快速气相色谱-电子鼻分析技术,可实现不同厂家和品牌油漆稀释剂的鉴别。结论 为火灾现场油漆稀释剂鉴别提供了一种有效的分析手段。
Abstract
Objective Establishing a method to identify different brands of paint thinner. Methods Thirty-seven samples of paint thinner were analyzed through fingerprinting by ultra-fast GC coupling electronic nose (E-nose), with the resultant data being processed by PCA (principal component analysis) statistical analysis and one recognition model thereby being brought forth. Results Ultra-fast GC coupling E-nose can identify paint thinners produced from different factories. Conclusions An effective method has been established for tracing the source of paint thinner in fire site.
关键词
油漆稀释剂 /
电子鼻 /
主成分分析
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Key words
paint thinner /
E-nose /
PCA
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参考文献
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脚注
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基金
浙江省分析测试科技计划项目（NO.2016C37002）
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