scholarly journals HPLC study on HPLC Characteristic Spectrum of Huoxiang (Herba Agastachis) Eliminating Summer-heat Soft Capsule

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Jing Wang

【摘要】 目的:建立火香消夏软胶囊的HPLC特征谱。方法:在Tech进行色谱分离伴侣C18-ST(5um的,4.6 × 250nm的)柱 由Agilent以1.0mL∙min的流速1260高性能液相色谱仪,洗脱的乙腈和0.05%磷酸中的梯度洗脱- 1个。检测波长设定为270nm。选择橙皮苷作为参考峰,以计算相对保留时间的RSD。还研究了精密度,稳定性和可重复性。这项研究包括来自5个制造商的80个不同样品。结果:建立了火香消暑软胶囊的HPLC特征谱图,在80个样品中具有11个特异的色谱峰。该方法准确,可靠,重现性好,可全面控制火香消暑软胶囊的质量。

1999 ◽  
Vol 23 (1) ◽  
pp. 60-61
Author(s):  
O. I. Kalchenko ◽  
A. V. Solovyov ◽  
J. Lipkowski ◽  
V. I. Kalchenko

Stability constants of the host–guest complexes of 5,17-bis( N-tolyliminomethyl)-25,27-dipropoxycalix[4]arene with benzene derivatives were determined by reversed-phase HPLC in acetonitrile–water solution.


2002 ◽  
Vol 53 (1-3) ◽  
pp. 241-250 ◽  
Author(s):  
Eszter Bakó ◽  
József Deli ◽  
Gyula Tóth

2006 ◽  
Vol 19 (17) ◽  
pp. 4418-4435 ◽  
Author(s):  
Robin T. Clark ◽  
Simon J. Brown ◽  
James M. Murphy

Abstract Changes in extreme daily temperature events are examined using a perturbed physics ensemble of global model simulations under present-day and doubled CO2 climates where ensemble members differ in their representation of various physical processes. Modeling uncertainties are quantified by varying poorly constrained model parameters that control atmospheric processes and feedbacks and analyzing the ensemble spread of simulated changes. In general, uncertainty is up to 50% of projected changes in extreme heat events of the type that occur only once per year. Large changes are seen in distributions of daily maximum temperatures for June, July, and August with significant shifts to warmer conditions. Changes in extremely hot days are shown to be significantly larger than changes in mean values in some regions. The intensity, duration, and frequency of summer heat waves are expected to be substantially greater over all continents. The largest changes are found over Europe, North and South America, and East Asia. Reductions in soil moisture, number of wet days, and nocturnal cooling are identified as significant factors responsible for the changes. Although uncertainty associated with the magnitude of expected changes is large in places, it does not bring into question the sign or nature of the projected changes. Even with the most conservative simulations, hot extreme events are still expected to substantially increase in intensity, duration, and frequency. This ensemble, however, does not represent the full range of uncertainty associated with future projections; for example, the effects of multiple parameter perturbations are neglected, as are the effects of structural changes to the basic nature of the parameterization schemes in the model.


1996 ◽  
Vol 30 (6) ◽  
pp. 421-423 ◽  
Author(s):  
T. L. Kiseleva ◽  
L. N. Frolova ◽  
L. A. Baratova ◽  
A. K. Yus'kovich
Keyword(s):  

1984 ◽  
Vol 7 (12) ◽  
pp. 2493-2506 ◽  
Author(s):  
A. Shalaby ◽  
Zs. BudVári-Bárány ◽  
K. Hankó-Novák ◽  
Gy. Szász

1912 ◽  
Vol 144 (1) ◽  
pp. 143
Author(s):  
EUGEN SCHLESINGER ◽  
LOUIS STARR ◽  
THOMPSON S. WESTCOTT

2010 ◽  
Vol 40 (4) ◽  
pp. 267-306 ◽  
Author(s):  
R. García-Herrera ◽  
J. Díaz ◽  
R. M. Trigo ◽  
J. Luterbacher ◽  
E. M. Fischer
Keyword(s):  

2014 ◽  
Vol 104 (4) ◽  
pp. 387-395 ◽  
Author(s):  
Jay Ram Lamichhane ◽  
Alfredo Fabi ◽  
Leonardo Varvaro

Cytospora canker, caused by the fungus Cytospora corylicola, is present in hazelnut production areas worldwide. The disease is widespread throughout the main production areas of Italy. The causal agent is considered to be a secondary invader of damaged tissue that attacks mainly stressed plants. However, little is known of disease severity and stress factors that predispose plants to infection. In particular, the role of pedoclimatic factors was investigated. Direct survey indicated that disease severity varied across several study sites. Geostatistics showed a strong positive correlation between disease severity index and summer heat (r = 0.80 and 0.91 for July and August, respectively) and strong negative correlation between disease severity index and soil organic matter (r = –0.78). A moderate positive correlation between disease severity index and magnesium/potassium ratio (r = 0.58) and moderate negative correlations between disease severity index and total soil nitrogen (r = –0.53), thermal shock (r = –0.46), and rainfall (r = –0.53) were determined. No significant correlation between disease severity index and soil aluminum (r = –0.35), soil pH (r = –0.01), and plant age (r = –0.38) was found.


Appetite ◽  
1992 ◽  
Vol 19 (2) ◽  
pp. 197 ◽  
Author(s):  
L. Lénárd ◽  
A. Hajnal ◽  
A. Czurkó ◽  
I. Vida ◽  
I. Åbraham ◽  
...  

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