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J. Comput. Sci. Eng.
Vol. 35 (2018) 938-957 |
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Simultaneous
determination of isoflavonoids in huangqi gegen herbal pair
and its markted formulations by RP-HPLC-UV |
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Jianping Deng, Yuanwen Wen, Yifei Wang, Zhiping Wang |
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J. Comput. Sci. Eng.
35 (2018) 938-941¡ªPublished
25 April 2018 |
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Abstract:
A new simple and efficient RP-HPLC-UV method was
developed for the simultaneous analysis of isoflavonoids
in Huangqi Gegen herbal pair and its marketed
formulations. Effective chromatographic separation of
ten active components was achieved on a Kromasil C18
column (4.6¡Á250 mm, i.d.; 5 ¦Ìm) with gradient elution of
methanol and 0.2% formic acid aqueous solution at a flow
rate of 1.0 mL/min in 60 min. Detection was performed at
250nm. The validation of the method included tests of
linearity, sensitivity, precision, repeatability,
stability and accuracy. All calibration curves showed
good linear regression (r>0.999) within test ranges. The
established method showed good precision and accuracy
with overall intra-day and inter-day variations of
0.77-1.81 % and 1.38-2.47 %, and overall recoveries of
96.64-103.96 % for the compounds analyzed. The developed
method was successfully applied for the quantitative
analysis of constituents in Huangqi gegen and its
marketed formulations. |
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Keywords:
Huangqi-gegen herbal pair; Isoflavonoids; HPLC; Marketed
formulations.
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Cluster Analysis
for Dependent Network Sequences |
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Liang Wang, Qi Zhang, Xinmin Li, Shunyao Wu |
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J. Comput. Sci. Eng.
35 (2018) 942-946¡ªPublished
25 April 2018 |
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Abstract:
Dynamic complex network has now become a major field of
research and cluster analysis is a common tool to
extract network structure. Previous articles on network
clustering mostly supposed that observations are
conditionally independent. However, we construct a novel
model which combines the stochastic block model, the
hidden structure in Markov process and the
autoregressive model to relax this assumption. We also
propose relative statistical inference and VEM algorithm
to calculate the parameters iteratively. Finally, the
Monte Carlo simulations are performed well, which shows
the consistency and robustness of the work. |
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Keywords:
Dependent network sequences; Stochastic block models;
Network clustering; Markov chain Monte Carlo;
Variational expectation¨Cmaximization.
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Preparation and
evaluation of thermosensitive diclofenac sodium in-situ gel |
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Jialing Dai, Ruoyu Zhang, Yang Gao, Zichen Li, Guodong Ma,
Yong Sun |
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J. Comput. Sci. Eng.
35 (2018) 947-953¡ªPublished
25 April 2018 |
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Abstract:
Diclofenac sodium (DS), as a good non-steroidal
anti-inflammatory drug, was an excellent drug for
treating acute pain such as arthritis rheumatism.
However, there were many problems in the current
preparations: poor targeting of oral drugs, large toxic
and side effects of drugs, and the therapeutic effect
was not very satisfactory. This study aimed at the above
problems to improve the efficiency of DS: using
poloxamer 407 (P407) and sodium alginate nanoscale
spinning as gel skeleton and DS as model drug to prepare
a thermosensitive in-situ gel for joint cavity
injection. we choose 17% P407 thermosensitive gel (the
gelation temperature was 30.8¡æ, the gelation time was
1min30s) to ensure the gel could be formed at human body
temperature. And it was corrosed completely at the ninth
day. The gelation temperature reduced from 30.8¡æ to 28¡æ
and was still completely corrosed at the ninth day after
17% P407 thermosensitive gel loading DS. We developed
the method of HPLC to determine the content of DS. With
the concentration of sodium alginate increased, the rate
of DS release from the sodium alginate-DS-P407
thermosensitive gel slowed down and the corrosion of
sodium alginate-DS-P407 thermosensitive gel slowed down
too. It was expected to prolong the efficacy of DS in
situ gel in vivo. |
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Keywords:
Thermosensitive in-situ gel; Poloxamer 407; Sodium
alginate; Electro-spinning.
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Anti-hepatocarcinoma effectsof puerarin-nanostructured lipid
carriers against human HepG2 cells |
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Zicong Wu, Zhihui Li, Yifei Wang, Zhiping Wang |
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J. Comput. Sci. Eng.
35 (2018) 954-957¡ªPublished
25 April 2018 |
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Abstract:
Hepatocarcinoma, a malignant cancer, threaten human life
badly. It is a current issue to seek the effective
natural remedy from plant to treat cancer due to the
resistance of the advanced hepatocarcinoma to
chemotherapy. Puerarin (Pue), amajor active ingredient
in the traditional Chinese medicine Gegen, has a
widerange of pharmacological properties and isconsidered
to have anti-hepatocarcinomaeffects. However its low
oral bioavailability restrictsits wide application. In
this report, Pue loaded nanostructured lipidcarriers
(Pue-NLC) was prepared by hot melting and then high
pressure homogenization technique. The in vitro
anti-hepatocarcinoma effects of Pue-NLC relative to
efficacy of bulk Pue were evaluated. The particle size
and zeta potential of Pue-NLC were 191.3 nm and −17.9
mV, respectively. MTT assay showed that
Pue-NLCeffectively inhibited the proliferation of HepG2
cells, and the corresponding IC50 values of Pue-NLC and
bulk Pue were2.98 and 5.73 µg/ml.These results suggest
that the delivery of Pue-NLC is a promising approach for
treating tumors.. |
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Keywords:
Nanostructured lipid carriers; Puerarin; Cytotoxicity;
Antitumor activity; HepG2 cells.
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