Publications by authors named "Qing-fan Meng"

In this paper, four species of Haliday, Li & Li, , Li & Li, , Li & Li, , and Li & Li, , are described as new to science; four species, Szelényi, Graham, Yefremova & Kriskovich, and (Förster) are reported from China for the first time; and the male of is reported for the first time in the world. A key to all known species of the genus in China is provided.

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Paclitaxel is known as one of the most effective anticancer drugs. Near Infrared Spectroscopy (NIRS), a rapid, precise and non-destructive approach of analysis, has been widely used for qualitative and quantitative detection. The present study aims to analyze the plasma paclitaxel concentration with NIRS.

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Jia-Yuan-Qing pill (JYQP) composed of Latreille, Corydalis Rhizoma and Radix Cynanchi Paniculati at a ratio of 9:7:7 has been found to be an effective analgesic agent. The present study aimed to evaluate the safety, addictive potential and anti-cancer pain activity of JYQP in a rat model. During the 6-month chronic toxicity test, no significant changes in general behavior, defecation, postural abnormalities, dietary or water intake or blood biochemical parameters were observed in male and female rats.

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Partial least squares (PLS) and radial basis function neural network (RBFNN) combined with near infrared spectros- copy (NIR) were applied to develop models for cordycepic acid, polysaccharide and adenosine analysis in Paecilomyces hepialid fermentation mycelium. The developed models possess well generalization and predictive ability which can be applied for crude drugs and related productions determination. During the experiment, 214 Paecilomyces hepialid mycelium samples were obtained via chemical mutagenesis combined with submerged fermentation.

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Microspheres have been developed as drug carriers in controlled drug delivery systems for years. In our present study, near infrared spectroscopy (NIRS) is applied to analyze the particle size and drug loading rate in risperidone poly(d,l-lactide-co-glycolide) (PLGA) microspheres. Various batches of risperidone PLGA microspheres were designed and prepared successfully.

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This is a systemic review of plants used traditionally for neuroendocrinological diseases related to hypothalamus-pitutary-adrenal (HPA) and hypothalamus-pitutary-gland (HPG) axis. By searching from PubMed literature search system (1950-2013), Medline (1950-2013) and CNKI (China Journals of Full-text database; 1989-2013), 105 papers met the inclusion criteria were displayed in this review. 96 herbal drugs were classified into two parts which include hormones mainly related to HPA and HPG axis.

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The analgesic activity of Porcellio laevis Latreille, Rhizoma Corydalis, and Radix Cynanchi Paniculati have been reported in recent years. A new formula named Jia-Yuan-Qing pill (JYQP) is therefore created by combining the three herbs at 9:7:7 ratio according to traditional Chinese theories. The present study aims to evaluate the effect of JYQP as a novel painkiller in various models.

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The preparation and investigation of sustained-release risperidone-encapsulated microspheres using erodible poly(D, L-lactide-co-glycolide) (PLGA) of lower molecular weight were performed and compared to that of commercial Risperdal Consta™ for the treatment of schizophrenia. The research included screening and optimizing of suitable commercial polymers of lower molecular weight PLGA50/50 or the blends of these PLGA polymers to prepare microspheres with zero-order release kinetics properties. Solvent evaporation method was applied here while studies of the risperidone loaded microsphere were carried out on its drug encapsulation capacity, morphology, particle size, as well as in vitro release profiles.

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A calibration model (WT-RBFNN) combination of wavelet transform (WT) and radial basis function neural network (RBFNN) was proposed for synchronous and rapid determination of rifampicin and isoniazide in Rifampicin and Isoniazide tablets by near infrared reflectance spectroscopy (NIRS). The approximation coefficients were used for input data in RBFNN. The network parameters including the number of hidden layer neurons and spread constant (SC) were investigated.

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Article Synopsis
  • The study aimed to improve the extraction process for polysaccharides from the mycelium of Marasmius androsaceus.
  • Researchers used single factor tests and response surface methodology (RSM) with SAS software to determine optimal extraction conditions.
  • The best results were achieved at 78°C for 1.5 hours with a water to material ratio of 36:1, yielding a polysaccharide extraction rate of 11.59%.
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