[Distribution of bioactive compounds in different tissues of Paeonia lactiflora roots by DESI-MSI and UPLC].

The quality of Paeoniae Radix Alba and Paeoniae Radix Rubra is evaluated by root thickness, and paeoniflorin serves as a common quality indicator of them. However, the correlation between the content of bioactive compounds and the root size is still unclear. Therefore, this study characterized the distribution patterns and content of seven bioactive compounds including paeoniflorin in different tissues of Paeonia lactiflora roots, analyzed the correlation between the root size and the content of bioactive compounds based on the xylem-to-bark ratio, and further determined the index components for quality assessment. Nine samples of fresh P. lactiflora roots were collected from the genuine cultivation area. The distribution of bioactive compounds in different tissues on the cross-section of the root was firstly analyzed by desorption electrospray ionization-mass spectrometry imaging(DESI-MSI). Subsequently, the content of bioactive compounds was determined in the xylems and barks of the roots by UPLC. The compounds with the largest difference between the xylem and the bark were selected by orthogonal partial least squares discriminant analysis(OPLS-DA). The results indicated that paeoniflorin, benzoylpaeoniflorin, oxypaeoniflorin, gallic acid, and 1,2,3,4,6-pentagalloylglucose were significantly accumulated in the xylems, while albiflorin and catechin were mainly distributed in the barks. Paeoniflorin and albiflorin, with the largest differences in the xylem and the bark, had the highest content in the two tissues. The root diameter was positively correlated with paeoniflorin content and negatively correlated with albiflorin content. As isomers with different efficacies, paeoniflorin or albiflorin can be chosen as the quality marker corresponding to specific clinical application to launch quality classification evaluation of multi-functional Chinese medicines.

[Assay of 18 amino acids in Chuanmingshen violaceum roots by pre-column derivative HPLC].

The roots of Chuanmingshen violaceum is a commonly used Chinese herb and food, which contains rich amino acids. However, the kinds and amounts of amino acids are variety in this herb among the geographical location and ecological environment. Therefore, this study firstly developed a new pre-column derived HPLC method to quantify the levels of 18 amino acids in Ch. violaceum roots. Then 24 Ch. violaceum samples were harvested from its main cultivating areas in Sichuan, China. These samples were divided into 4 producing areas based on their geographical sites. The 18 kinds of amino acids were quantified in these sample by the developed method. The differences of these amino acids were further analyzed among these herbal samples and the 4 producing areas by t-test and principal component analysis(PCA). The result indicated the peaks of the 18 kinds of amino acids were separated well in 70 min.The correlation coefficients between peak areas and concentration of these amino acids were more than 0.999 1(n=6). All of their recoveries were in the range of 97.38%-101.3%(n=6).Their detection limit was in the range of 0.003-0.379 µg·mL~(-1).It demonstrates that the developed HPLC method can accurately quantify the amounts of multi-amino acids in this herb. The results of t-test analysis showed the contents of histidine, cystine, leucine, valine, tryptophan, phenylalanine and threonine were significantly different(P<0.05) among the 4 producing areas. But the differences of other amino acids were not significant.The first five factors were extracted by PCA to calculate the comprehensive score. The order of comprehensive score for the 4 producing areas was B(0.603, n=10), C(0.206, n=3), A(-0.283, n=7) and D(-1.167, n=4). The total content of amino acids in Ch. violaceum collected in B producing area was largest(12.5 mg·g~(-1)). It is concluded the Ch. violaceum contains multi-kinds of amino acids. On the basis of amino acid amount, Langzhong city and Cangxi county in Sichuan province(producing area B) is the suitable areas for cultivating Ch. violaceum.

[Determination of common dyes in dyed safflower by near infrared spectroscopy].

Because the red and bright color of corolla is the main indicator for the quality assessment of good safflower,the dyed safflower is sometimes found at the herbal market,what is influence on this herb quality and efficacy. A total of 127 safflower samples was therefore collected from different cultivating areas and herbal markets in China to develop a rapid method to identify the dyed safflower. Near-infrared spectroscopy(NIRS) combined with characteristic identification,high performance liquid chromatography(HPLC),principal component analysis(PCA) and partial least squares regression analysis(PLS) were employed to differentiate safflower from dyed safflower samples,and further quantify the levels of the 6 dyes,i.e. tartrazine,carmine,sunset yellow,azorubine,acid red 73 and orange Ⅱ in the dyed safflower. The results indicated that the 50 safflower samples and 77 dyed safflower samples were located at different regions in PCA cluster diagram by NIR spectra. Tartrazine,carmineand and sunset yellow were found in the 77 dyed safflower samples with the amounts of 0. 60-3. 66,0. 11-1. 37,0. 10-0. 71 mg·g-1,respectively. It indicated that the three dyes were the common and main dyes in the dyed safflower. However,azorubine,acid red 73 and orange Ⅱ were not detected in all herb samples. A total of 62 dyed safflower samples were chosen as calibration samples to develop the model for estimating the amount of dyes in dyed safflower. The estimating accuracy was verified by another 15 dyed safflower samples. The values of tartrazine,carmine and sunset yellow in dyed safflower samples were compared between the NIRS and HPLC methods. Each value of mean absolute difference(MAD) was less than 5%. The correlation coefficients of tartrazine,carmineand and sunset yellow were 0. 970,0. 975,0. 971,respectively. It indicated the data quantified by NIRS and HPLC were consistence. It is concluded that NIRS can not only differentiate safflower from dyed safflower,but also quantify the amount of the dyes. NIRS is suitable for rapidly identify the quality of safflower.