Multicomponent Analysis and Chemometrics for Bioprocess Control

2020 ◽  
pp. 293-318
Author(s):  
Steven D. Brown
2017 ◽  
Vol 9 (3) ◽  
pp. 03037-1-03037-6 ◽  
Author(s):  
H. I. Klym ◽  
◽  
A. I. Ivanusa ◽  
Yu. M. Kostiv ◽  
D. O. Chalyy ◽  
...  

1997 ◽  
Vol 30 (5) ◽  
pp. 197-202
Author(s):  
Karl Bayer ◽  
Monika Cserjan ◽  
Eberhard Dürrschmid

1987 ◽  
Vol 139 (1-2) ◽  
pp. 1-20 ◽  
Author(s):  
Miroslav Krs ◽  
Marta Krsová ◽  
Petr Pruner ◽  
Richard Chvojka ◽  
Vladimír Havlíc̆ek

2009 ◽  
Vol 4 ◽  
pp. ACI.S3499 ◽  
Author(s):  
Yotam Gonen ◽  
Giora Rytwo

A Matlab implemented computer code for spectral resolution is presented. The code enables the user to resolve the UV-visible absorption spectrum of a mixture of up to 3 previously known components, to the individual components, thus, evaluating their quantities. The resolving procedure is based on searching the combination of the components which yields the spectrum which is the most similar (minimal RMSE) to the measured spectrum of the mixture. Examples of using the software for pKa value estimation and multicomponent analysis are presented and other implementations are suggested.


Sign in / Sign up

Export Citation Format

Share Document