收藏切换
The prediction of baicalin content in the extraction process of Scutellaria baicalensis by near-infrared spectroscopy combined with different variable selection methods
收藏切换
PDF
Xue-song LIU1, Si-yu ZHANG1, Man-qian ZHAO2, Jun WANG3, Ye-rui LI3, Jun DAI2, Chuan-zhen TENG2, Xiao KE2, Yong CHEN1, Yong-jiang WU1, *
Acta Pharmaceutica Sinica | 2019, 54(1) : 138 - 143
Less
收藏切换
Acta Pharmaceutica Sinica | 2019, 54(1): 138-143
ORIGINAL ARTICLES
The prediction of baicalin content in the extraction process of Scutellaria baicalensis by near-infrared spectroscopy combined with different variable selection methods
Full
Xue-song LIU1, Si-yu ZHANG1, Man-qian ZHAO2, Jun WANG3, Ye-rui LI3, Jun DAI2, Chuan-zhen TENG2, Xiao KE2, Yong CHEN1, Yong-jiang WU1, *
Affiliations
  • 1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
  • 2. Chengdu Kanghong Pharmaceutical Group Co., Ltd., Chengdu 610036, China
  • 3. Suzhou ZeDaXingBang Pharmaceutical Co., Ltd., Suzhou 215000, China
Published: 2019-01-12 doi: 10.16438/j.0513-4870.2018-0712
Outline
收藏切换

Near-infrared spectroscopy (NIRS) combined with chemometrics can achieve rapid detection in process analysis. After variable selection, the redundant information is effectively removed and the characteristic variables related to the response values are selected. Compared with global model, the complexity is significantly reduced and the prediction accuracy is also improved. In this study, near-infrared spectroscopy analysis combined with different variable selection methods was applied to achieve the rapid detection of baicalin in the extraction process of Scutellaria baicalensis. Data sets were divided based on sample set portioning based on joint x-y distance (SPXY) method. Competitive adaptive weighted resampling method (CARS), random frog (RF) and successive projections algorithm (SPA) were applied to variable selection. Partial least squares (PLS) models were constructed based on above three methods, and the prediction results were compared. After CARS, RF and SPA method, 92, 10 and 17 variables were screened out respectively. According to the performance of the models, CARS method is found to be more effective and suitable than RF and SPA. Furthermore, the characteristic variables selected by CARS method have a better correspondence with the chemical structure of baicalin. The root mean square error (RMSEC) of the calibration set and the root mean square error (RMSEP) of the prediction set are 0.528 2 and 0.720 2 respectively. Compared with the global PLS model, the correlation coefficient of the calibration set (Rc) is increased to 0.979 9 from 0.917 0, and the relative standard errors of prediction (RSEP) is reduced to 5.59% from 10.58%.

near infrared spectroscopy  /  variable selection  /  baicalin  /  competitive adaptive reweighted sampling method  /  random frog  /  successive projections algorithm  /  partial least squares
Xue-song LIU, Si-yu ZHANG, Man-qian ZHAO, Jun WANG, Ye-rui LI, Jun DAI, Chuan-zhen TENG, Xiao KE, Yong CHEN, Yong-jiang WU. The prediction of baicalin content in the extraction process of Scutellaria baicalensis by near-infrared spectroscopy combined with different variable selection methods[J]. Acta Pharmaceutica Sinica, 2019 , 54 (1) : 138 -143 . DOI: 10.16438/j.0513-4870.2018-0712
Year 2019 volume 54 Issue 1
PDF
127
50
Cite this Article
BibTeX
Article Info
doi: 10.16438/j.0513-4870.2018-0712
  • Receive Date:2018-08-06
  • Online Date:2026-01-26
  • Published:2019-01-12
Article Data
Affiliations
History
  • Received:2018-08-06
  • Revised:2018-10-31
Funding
Affiliations
    1. College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
    2. Chengdu Kanghong Pharmaceutical Group Co., Ltd., Chengdu 610036, China
    3. Suzhou ZeDaXingBang Pharmaceutical Co., Ltd., Suzhou 215000, China
References
Share
https://castjournals.cast.org.cn/joweb/yxxb/EN/10.16438/j.0513-4870.2018-0712
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT