Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate
Joint Authors
Zhang, Wei
Song, Hang
Lu, Jing
Liu, Wen
Nie, Lirong
Yao, Shun
Source
International Journal of Analytical Chemistry
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Online near-infrared spectroscopy was used as a process analysis technique in the synthesis of 2-chloropropionate for the first time.
Then, the partial least squares regression (PLSR) quantitative model of the product solution concentration was established and optimized.
Correlation coefficient (R2) of partial least squares regression (PLSR) calibration model was 0.9944, and the root mean square error of correction (RMSEC) was 0.018105 mol/L.
These values of PLSR and RMSEC could prove that the quantitative calibration model had good performance.
Moreover, the root mean square error of prediction (RMSEP) of validation set was 0.036429 mol/L.
The results were very similar to those of offline gas chromatographic analysis, which could prove the method was valid.
American Psychological Association (APA)
Zhang, Wei& Song, Hang& Lu, Jing& Liu, Wen& Nie, Lirong& Yao, Shun. 2015. Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate. International Journal of Analytical Chemistry،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1064401
Modern Language Association (MLA)
Zhang, Wei…[et al.]. Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate. International Journal of Analytical Chemistry No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1064401
American Medical Association (AMA)
Zhang, Wei& Song, Hang& Lu, Jing& Liu, Wen& Nie, Lirong& Yao, Shun. Online NIR Analysis and Prediction Model for Synthesis Process of Ethyl 2-Chloropropionate. International Journal of Analytical Chemistry. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1064401
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1064401