The goal of this paper is to explore the relationship between the inorganic elemental fingerprint and the geographical origin identification of Meretricis concha,which is a commonly used marine traditional Chinese medicine(TCM) for the treatment of asthma and scald burns.For that,the inorganic elemental contents of Meretricis concha from five sampling points in Jiaozhou Bay have been determined by means of inductively coupled plasma optical emission spectrometry,and the comparative investigations based on the contents of 14 inorganic elements(Al,As,Cd,Co,Cr,Cu,Fe,Hg,Mn,Mo,Ni,Pb,Se and Zn) of the samples from Jiaozhou Bay and the previous reported Rushan Bay were performed.It has been found that the samples from the two bays are approximately classified into two kinds using hierarchical cluster analysis,and a four-factor model based on principle component analysis could explain approximately 75% of the detection data,also linear discriminant analysis can be used to develop a prediction model to distinguish the samples from Jiaozhou Bay and Rushan Bay with accuracy of about 93%.The results of the present investigation suggested that the inorganic elemental fingerprint based on the combination of the measured elemental content and chemometric analysis is a promising approach for verifying the geographical origin of Meretricis concha,and this strategy should be valuable for the authenticity discrimination of some marine TCM. The goal of this paper is to explore the relationship between the inorganic elemental fingerprint and the geographical origin identification of Meretricis concha, which is commonly used marine traditional Chinese medicine (TCM) for the treatment of asthma and scald burns. For that, the inorganic elemental contents of Meretricis concha from five sampling points in Jiaozhou Bay have been determined by means of inductively coupled plasma optical emission spectrometry, and the comparative investigations based on the contents of 14 inorganic elements (Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Se and Zn) of the samples from Jiaozhou Bay and the previous reported Rushan Bay were performed. It has been found that the samples from the two bays are substantially classified into two kinds using hierarchical cluster analysis, and a four-factor model based on principle component analysis could like about 75% of the detection data, also linear discriminant analysis can be used to develop a prediction model to distinguish the samples from Jiaozhou Bay and Rushan Bay with accuracy of about 93%. The results of the present investigation suggest that the inorganic elemental fingerprint based on the combination of the measured elemental content and chemometric analysis is a promising approach for verifying the geographical origin of Meretricis concha, and this strategy should be valuable for the authenticity of discrimination of some marine TCM.