ABSTRACT
Object To study the HPLC fingerprints and establish a sensitive and specific method for controlling the quality of Radix Paeoniae Rubra (RPR) Methods The HPLC method was applied for quality assessment of RPR All 18 samples collected from different places were determined A Hypersil C 18 column (200 mm?4 6 mm, 5 ?m) was used with the mobile phase being acetonitril 0 025 mol/L H 3PO 4: THF (9 5∶90 5∶1 25), flow rate being 0 8 mL/min, detecting wavelength being 254 nm, the column temperature being at room temperture Results This method had a good repeatability and reproducibility, and the ratio of peaks' area of different habitat samples were different Conclusion The method is suitable to differentiate RPR form different sources conveniently, and can be used as a quality control method for this herb
ABSTRACT
Objective With generalization and steadiness,a new evaluation model by Integrating Non Linear Features extraction algorithm with artificial neural networks(ANN) used for pattern recognition of quality control of Radix Paeoniae Alba was proposed in this paper.Methods The HPLC data from 29 samples with different quality were proceeded with nonlinear kernel principal component analysis(KPCA) and an improved Back propagation algorithm of ANN.The extract characteristics was fed into BP neural networks as input elements for pattern recognition.In the meantime,the processing data,the optimal numbers of hidden layers,the numbers of hidden nodes,excitation functions,and over-fitting,etc. were discussed wholly so that standardization networks was designed without jamming.Results As recognition ratio was 100%,the pattern recognition of quality control of Radix Paeoniae Alba was established successfully by trained networks and predicted results.Conclusion Integrating KPCA algorithm with ANN for pattern recognition of quality control of Radix Paeoniae Alba has been proved to be available.
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Objective To study the toxicokinetics of phthalates in male rabbits. Methods Concentrations of DEHP or DBP in plasma of 6 healthy male rabbits were determined by RP-HPLC after constant rate infusion of 0.5 g/kg DEHP or DBP(IV). The toxicokinetic parameters were computed by 3P87 program. Results The toxicokinetic model of DEHP and DBP were both first-order elimination and two-compartment model with constant rate infusion. The main toxicokinetic parameters of DEHP were as follows: distribution phose t1/2(?)=0.101 h; elimination phase t1/2(?)=12.701 h; CLs=0.013 g?kg-1?h-1. The main toxicokinetic parameters of DBP were as follows: t1/2(?)=0.441 h; t1/2(?)=31.311 h; CLs=0.021 g?kg-1?h-1. Conclusion DEHP and DBP were both first order elmination and two-compartment medol with constand rate intusion(IV). DEHP and DBP could be rapidly eliminated in male rabbits.
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Objective To explore the kinds and levels of phthalates leaching from disposable plastic products. Methods Samples of peritoneal dialysis solution, blood preservative solution, infusion instruments, preservative film, disposable plastic bags and water in plastic bottles were analyzed for phthalates by RP-HPLC after liquid-liquid extraction and/ or solid phase extraction. Results Di(2-ethylhexyl) phthalate (DEHP) was leached from all medical instruments, the maximum level of which reached 77.51?g/ L. Di-n-butyl phthalate was leached from disposable plastic bags, the level of which reached 91.45?g/ kg. Phthalates were not found in samples of preservative film and water in plastic bottles. Conclusion As DEHP leaching from the medical instruments might directly enter the human body, attention should be paid to its health hazards.