Inorganic Elements in Tuber of Chinese Herbal Medicine Radix Pseudostellariae from Guizhou Province

By analyzing the contents of inorganic elements in Radix Pseudostellariae from Guizhou Province, the aim was to assess the present quality of Radix Pseu- dostellariae, set limited standards of heavy metals, establish element fingerprints, and find out the characteristic elements. ICP-MS was used to measure the content of inorganic elements and map the element fingerprints. Additionally, WM/T2-2004 was applied to evaluate the quality of heavy metal elements, and the characteristic elements were determined by principal component analysis. The results showed that the contents of inorganic elements in Radix Pseudostellariae were between 0.057 and 959 mg/kg with the coefficients of variation ranging from 0.134 to 1.478, and the contents of Cd, As, Pb, and Hg were below the Standard of WM/T2-2004 in 90% of Radix Pseudostellariae. The standard limits of heavy metals in Radix Pseu- dostellariae were Cr≤6.5 mg/kg, Cu≤10 mg/kg, As≤2.0 mg /kg, Cd≤0.3 mg/kg, Hg≤0.15 mg/kg, and Pb≤4.0 mg/kg. The features of the inorganic eJements finger- prints could provide theoretical basis of identifying the quality of Radix Pseudostel- lariae and distinguishing Radix Pseudostellariae from other Chinese herbal medicines. The characteristic inorganic elements of Radix Pseudostellariae were found to be Cd, Cu, Co, Zn, Fe, Ca, Mg, and AI. Radix Pseudostellariae from Guizhou Province contained abundant inorganic elements, and the contents of heavy metals were below the evaluation criterion. The study provided a reference for the future development of the limiting values of heaw metals in Radix Pseudostellariae.

Construction of Inorganic Elemental Fingerprint and Multivariate Statistical Analysis of Marine Traditional Chinese Medicine Meretricis concha from Rushan Bay

Meretricis concha is a kind of marine traditional Chinese medicine(TCM), and has been commonly used for the treatment of asthma and scald burns. In order to investigate the relationship between the inorganic elemental fingerprint and the geographical origin identification of Meretricis concha, the elemental contents of M. concha from five sampling points in Rushan Bay have been determined by means of inductively coupled plasma optical emission spectrometry(ICP-OES). Based on the contents of 14 inorganic elements(Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Se, and Zn), the inorganic elemental fingerprint which well reflects the elemental characteristics was constructed. All the data from the five sampling points were discriminated with accuracy through hierarchical cluster analysis(HCA) and principle component analysis(PCA), indicating that a four-factor model which could explain approximately 80% of the detection data was established, and the elements Al, As, Cd, Cu, Ni and Pb could be viewed as the characteristic elements. This investigation suggests that the inorganic elemental fingerprint combined with multivariate statistical analysis is a promising method for verifying the geographical origin of M. concha, and this strategy should be valuable for the authenticity discrimination of some marine TCM.

Inorganic Elemental Determinations of Marine Traditional Chinese Medicine Meretricis concha from Jiaozhou Bay:The construction of Inorganic Elemental Fingerprint Based on Chemometric Analysis

The goal of this paper is to explore the relationship between the inorganic elemental fingerprint and the geographical origin identification ofMeretricis concha, which is a commonly used marine traditional Chinese medicine （TCM） for the treatment of asthma and scald bums. For that, the inorganic elemental contents ofMeretricis 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 （A1, 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 ap- proximately 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 investi- gation suggested that the inorganic elemental fingerprint based on the combination of the measured elemental content and chemom- etric analysis is a promising approach for verifying the geographical origin ofMeretricis concha, and this strategy should be valuable for the authenticity discrimination of some marine TCM.

Study on Elemental Fingerprint of Traditional Marine Chinese Medicine Oysters from Jiaozhou Bay,China

In order to investigate the relationship between the trace elements and the characteristics of the oysters, we analyzed the trace elements present in the germplasm of oysters from different producing areas in the Jiaozhou Bay. The element fingerprints were established to reflect the elemental characteristics of the oysters. Concentration patterns of the elements were deciphered by principle component analysis (PCA) and hierarchical cluster analysis (HCA). The six regions were discriminated with accuracy using HCA and PCA based on the concentration of 16 trace elements. The elements were viewed as characteristic elements of the oysters and the fingerprints of these elements could be used to distinguish the quality of the oysters.

Characterization of mineral element fingerprints under soilcrop systems in eastern and western rice-producing areas of Jilin Province,China

To assess the indicative function of the fingerprint characteristics of mineral elements for small agricultural producing areas,20 sets of soil surface samples and corresponding rice samples were collected from Songyuan and Hunchun of Jilin Province,China.Forty-six mineral elements of brown rice,soil,and rice husk were examined by inductively coupled plasma mass spectrometry.Ten characteristic elements(Li,Ag,Y,Bi,U,Eu,Er,Rb,Mo and As)were identified via multivariate statistics(Variance importance value analysis and rank sum test in SPSS and SIMCA software packages).The correlation of mineral elements in brown rice,soil,and rice husks of the two sample areas was analyzed and regression analysis models of characteristic mineral elements in brown rice were developed.The results indicate that a correlation exists among brown rice,soil,and rice husks in the same area,and the correlation tests using selected elements showed that all correlation coefficients were 0.65 or above.Differences in brown rice were found between different regions.Consequently,brown rice producing areas can be distinguished by the fingerprint characteristics of mineral elements.

Research progress on the origin traceability of edible oils

The origin traceability of edible oil is an effective way to protect the legitimate rights and interests of producers and consumers.This review briefly summarizes research progress on origin traceability technologies for edible oils including stable isotope ratio mass spectrometry,mineral element fingerprint analysis,organic component fingerprint analysis,near-infrared spectroscopy,nuclear magnetic resonance technology and biochemical analysis.Moreover,the development trends in edible oil origin traceability technology were proposed.