No abstract

The fruit of corni (Cornus officinalis Sieb.) was analyzed by ultra-performance liquid chromatography with a photodiode array detector (UPLC-PDA) and method validation for 3 major components which are morroniside, loganin, and cornuside. The optimal extraction condition for sum of 3 components was carried out response surface methodology (RSM). Experimental factors were designated by RSM and a central composite design (CCD). The suitability of the experimental model was verified by analysis of variance (ANOVA), and the regression coefficient was calculated as 0.6994. The maximum predicted value for the sum of the yields of the 3 major components was 1.555% with an extraction temperature of 70 o C and an extraction time of 38 min in 64% ethanol. Under these conditions, the actual value was detected to 1.527% (±0.034).

A quantitative method using ultra performance liquid chromatography with a photodiode array detector (UPLC-PDA) was established for the analysis of 2 major plant metabolites: β-asarone and α-asarone from Acorus gramineus, A. tatarinowii, A. calamus and Anemone altaica, and their contents are compared with other herbs of Acorus species. The method was validated according to the International Conference on harmonization (ICH) guideline for validation of analytical procedures with respect to precision, accuracy, and linearity. The average content of β-asarone in Acorus gramineus was significantly higher than that in others, with the second highest concentration observed in A. tatarinowii, and only a trace amounts found in A. calamus and Anemone altaica. In contrast, the average content of α-asarone in A. calamus was the highest, followed by that in Acorus gramineus and A. tatarinowii. principle component analysis (PCA) confirmed that β-asarone and α-asarone content differed among the species. These results suggest that this UPLC-PDA method can be considered as good quality control criteria for Acorus gramineus.

In order to optimize the extraction conditions of continentalic acid, the main compound from Aralia continentalis root, we developed a model using the response surface methodology. The continentalic acid yield was analyzed and quantified by high-performance liquid chromatography coupled with UV detection. The extraction solvent, temperature, and time the three main factors for ultrasound-assisted extraction were optimized using the central composite design. Analysis of variance showed a good model fit (R (2) = 0.9323). The maximum extraction of continentalic acid obtained experimentally was 1.0138 % under an extraction temperature of 33 °C and extraction time of 28 min when 100 % ethanol was used as the solvent. The experimental value was in good agreement (the yield 1.0103 %) with those predicted values. The results clearly showed that quality by statistical design could be effectively applied to optimize extraction of continentalic acid.

Objectives : A quantitative method using high performance liquid chromatography with a photodiode array detector(HPLC-PDA) was established for the quantitative analysis of the four main compound and pattern analysis to classification Piiellia ternate, P. pedatisecta and Typhonium flagelliforme. Methods : The analytical procedure for the determination of P. ternata, together with the known main compounds uracil, uridine, guanosine and adenosine was established. Optimum HPLC-PDA separation of these P. ternata was possible on Luna C18(2) column material, using water and acetonitrile as mobile phase. The method was validated according to regulatory guidelines. In addition, this assay method were analyzed for the content of four main compound in P. ternata, P. pedatisecta and T. flagelliforme and by data obtained from