Development of one-class classification method for identifying healthy T.granosa from those contaminated with uncertain heavy metals by LIBS  

作　　者：Zhonghao Xie Xi’an Feng Xiao Chen Guangzao Huang Xiaojing Chen Limin Li Wen Shi Chengxi Jiang Shuwen Yu 

机构地区：[1]School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an 710072,China [2]Wenzhou Institute of Industry&Science,Wenzhou 325035,Zhejiang,China [3]College of Electrical and Electronic Engineering,Wenzhou University,Wenzhou 325035,Zhejiang,China [4]Information Technology Center,Wenzhou University,Wenzhou 325035,Zhejiang,China

出　　处：《International Journal of Agricultural and Biological Engineering》2023年第4期200-205,共6页国际农业与生物工程学报（英文）

基　　金：supported by the Zhejiang Natural Science Foundation of China(Grant No.LY21C200001,LY20F030019);National Natural Science Foundation of China(Grant No.62105245,62071386);Wenzhou Major Scientific and Technological Innovation Projects of China(Grant No.ZG2021029,ZY2021027);the Wenzhou Science and Technology Bureau General Project(Grant No.S2020011).

摘　　要：Laser-induced breakdown spectroscopy(LIBS)can be used for the rapid detection of heavy metal contamination of Tegillarca granosa(T.granosa),but an appropriate classification model needs to be constructed.In the one-class classification method,only target samples are needed in training process to achieve the recognition of abnormal samples,which is suitable for rapid identification of healthy T.granosa from those contaminated with uncertain heavy metals.The construction of a one-class classification model for heavy metal detection in T.granosa by LIBS has faced the problem of high-dimension and small samples.To solve this problem,a novel one-class classification method was proposed in this study.Here,the principal component scores and the intensity of the residual spectrum were combined as extracted features.Then,a one-class classifier based on Mahalanobis distance using the extracted features was constructed and its threshold was set by leave-one-out crossvalidation.The sensitivity,specificity and accuracy of the proposed method were reached to 1,0.9333 and 0.9667 respectively,which are superior to the previously reported methods.

关 键 词：laser-induced breakdown spectroscopy Heavy metal contamination Tegillarca granosa one-class classification 

分 类 号：X53[环境科学与工程—环境工程]