scholarly journals Quantitative Analysis of Six Phenolic Acids in Artemisia capillaris (Yinchen) by HPLC-DAD and Their Transformation Pathways in Decoction Preparation Process

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Fang Tian ◽  
Qun-Jia Ruan ◽  
Ying Zhang ◽  
Hui Cao ◽  
Zhi-Guo Ma ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Drug Efficacy ◽  
Preparation Process ◽  
Analysis Method ◽  
Artemisia Capillaris ◽  
Caffeoylquinic Acid ◽  
Dicaffeoylquinic Acid ◽  
Quantitative Analysis Method ◽  
The Relationship ◽  
Internal Relationships

We aimed to establish a quantitative analysis method of six constituents (5-caffeoylquinic acid, 3-caffeoylquinic acid, 4-caffeoylquinic acid, 1,3-dicaffeoylquinic acid, 3,4-dicaffeoylquinic acid, and 4,5-dicaffeoylquinic acid) in Artemisia capillaris (Yinchen) and its decoction by using HPLC coupled with DAD. Besides, the transformation paths of the six constituents were analyzed in decoction preparation processing. The analytical method was fully validated in terms of linearity, sensitivity, precision, repeatability, and recovery and applied to assess the transformation trend and quantitative analysis of the six constituents in Yinchen decoction. The contents of six constituents varied greatly in Yinchen herb and Yinchen decoction, and there were inextricable internal relationships between them. Presumably 3-caffeoylquinic acid was isomerized to generate 5-caffeoylquinic acid and 4-caffeoylquinic acid. Similarly, 1,3-dicaffeoylquinic acid and 3,4-dicaffeoylquinic acid were produced by isomerization of 4,5-dicaffeoylquinic acid. In conclusion, this study provides a chemical basis for quality control of Yinchen decoction, and the changes of selected markers in decoction could give us some novel perspectives to study the relationship between substances and drug efficacy.

An LIBS quantitative analysis method for alloy steel at high temperature based on transfer learning

2018 ◽  
Vol 33 (7) ◽  
pp. 1184-1195 ◽  
Author(s):  
Jianhong Yang ◽  
Xiaomeng Li ◽  
Huili Lu ◽  
Jinwu Xu ◽  
Haixia Li
Keyword(s):  
High Temperature ◽  
Quantitative Analysis ◽  
Regression Model ◽  
Transfer Learning ◽  
Alloy Steel ◽  
Room Temperature ◽  
Analysis Method ◽  
Quantitative Analysis Method

Information learnt from spectra at room temperature is transferred to assist in building a better regression model at high temperature.

Development of a quantitative analysis method for the 12 marker compounds in Palmijihwang-hwan, a herbal formula, using a reversed-phase C18column and an amino column by HPLC

2014 ◽  
Vol 6 (11) ◽  
pp. 3763-3771 ◽  
Author(s):  
Jung-Hoon Kim ◽  
Hyeun-Kyoo Shin ◽  
Chang-Seob Seo
Keyword(s):  
Quantitative Analysis ◽  
Reversed Phase ◽  
Herbal Formula ◽  
Analysis Method ◽  
Quantitative Analysis Method ◽  
Marker Compounds

The quantification of 12 marker compounds in palmijihwang-hwan using a HPLC-PDA with a reversed-phase C18column and an amino column.

scholarly journals Quantitative Analysis Method for Mumefural in Japanese Apricot Fruit Juice Concentrate

2003 ◽  
Vol 50 (4) ◽  
pp. 188-192 ◽  
Author(s):  
Hiroshi Yada ◽  
Nobuki Gato ◽  
Hidenori Nagatomo ◽  
Yoshihiro Chuda ◽  
Hiroshi Ono ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Fruit Juice ◽  
Analysis Method ◽  
Japanese Apricot ◽  
Quantitative Analysis Method ◽  
Juice Concentrate

scholarly journals MODEL KEPUASAN PELANGGAN: ANALISIS KUALITAS PRODUK DAN KUALITAS LAYANAN TERHADAP CITRA MEREK PADA GIANT CITRA RAYA JAKARTA

2017 ◽  
Vol 21 (3) ◽  
pp. 317
Author(s):  
Agussalim M ◽  
Hapzi Ali
Keyword(s):  
Quantitative Analysis ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Path Analysis ◽  
Hypothesis Testing ◽  
Product Quality ◽  
Brand Image ◽  
Analytical Tool ◽  
Analysis Method ◽  
Quantitative Analysis Method

This study aims to analyze the effect of product quality and service quality on brand image and customer satisfaction either partially or simultaneously on Giant Citra Raya Tangerang. The population of this study is Giant Citra Raya customers which averages 2,070,823 / 12/30 = 5752 per day. The sample in this research using Slovin formula is 152 customers. Quantitative analysis method using path analysis, followed by determination analysis (R Square), partial hypothesis testing (t test) and simultaneous (F test) with alpha 5 percent. Before further analyzed first tested the instrument and test the classical assumption. Analytical tool using SPSS version 21.0 for windows. The result of the research shows that product quality and service quality are partially and simultaneously have positive and significant effect on brand image and customer satisfaction, and brand image has influence to customer satisfaction at Giant Citra Raya Tangerang.

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