环境样品中亚老哥尔种类的量化甄别

Quantitative Screening of Asian Gore Types in Environmental Samples

运用点积匹配模型,对环境样品中7类多氯联苯(ARs)类型进行量化匹配运算,并对匹配结果进行实验验证。依据点积模型对特征库进行匹配搜索运算,为描述最佳匹配定义了3种统计量:主匹配因子(NetMF)、正向匹配因子(FwdMF)和逆向匹配因子(RevMF);为使标准组分特征库更具适用性,阐述了界定每类ARs的特征组分,讨论了模型参数选择应考虑的要素。基于标准特征组分谱库,对标准品、加标样品和实际样品的数据进行匹配搜索运算,对算法模型的可靠性进行了有效验证。

The dot product matching model is used to perform quantitative matching operations on 7 types of polychlorinated biphenyls(ARs)in environmental samples,and the matching results are verified by experiments.According to the dot product model,the feature database is matched and searched,and three statistics are defined to describe the best match:the main matching facto(r NetMF),the forward matching factor(FwdMF)and the reverse matching factor(RevMF);it is the standard component The feature library is more applicable,expounding the feature components that define each type of ARs,and discussing the factors that should be considered in the selection of model parameters.Based on the standard characteristic component library,the data of standard products,spiked samples and actual samples are matched and searched to effectively verify the reliability of the algorithm model.