Improvement of Prediction Errors Based on Standardized Infrared Spectra for a Calibration-free Approach

Shojiro Shibayama; Kimito Funatsu

doi:10.1051/matecconf/202133306001

All issues

Volume 333 (2021)

MATEC Web Conf., 333 (2021) 06001

References

Open Access

Issue		MATEC Web Conf. Volume 333, 2021 The 18^th Asian Pacific Confederation of Chemical Engineering Congress (APCChE 2019)


Article Number		06001
Number of page(s)		4
Section		Process Systems Engineering
DOI		https://doi.org/10.1051/matecconf/202133306001
Published online		08 January 2021

K. Muteki, D.O. Blackwood, B. Maranzano, Y. Zhou, Y.A. Liu, K.R. Leeman, and G.L. Reid; “Mixture component prediction using iterative optimization technology (Calibration-Free/Minimum Approach),” Ind. Eng. Chem. Res. 52 12258–12268 (2013). [CrossRef] [Google Scholar]
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S. Shibayama, and K. Funatsu; “Applicability Domains of a Minimal-Calibration Model for Effective Online Monitoring of Pure Components’ Concentrations in the Pharmaceutical Continuous Manufacturing Processes”, 13th Int. Symp. Process Syst., 919–924 (2018). [Google Scholar]

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[1] K. Muteki, D.O. Blackwood, B. Maranzano, Y. Zhou, Y.A. Liu, K.R. Leeman, and G.L. Reid; “Mixture component prediction using iterative optimization technology (Calibration-Free/Minimum Approach),” Ind. Eng. Chem. Res. 52 12258–12268 (2013). [CrossRef] [Google Scholar]

[2] A. de Juan, J. Jaumot, R. Tauler, “Multivariate Curve Resolution (MCR). Solving the mixture analysis problem,” Anal. Methods. 6 4964–4976 (2014). [CrossRef] [Google Scholar]

[3] E. Kriesten, F. Alsmeyer, A. Bardow, W. Marquardt, “Fully automated indirect hard modeling of mixture spectra,” Chemom. Intell. Lab. Syst. 91 181–193 (2008). [CrossRef] [Google Scholar]

[4] H. Kaneko, K. Muteki, and K. Funatsu; “Improvement of iterative optimization technology (for process analytical technology calibration-free/minimum approach) with dimensionality reduction and wavelength selection of spectra,” Chemom. Intell. Lab. Syst. 147 176–184 (2015). [CrossRef] [Google Scholar]

[5] S. Shibayama, H. Kaneko, and K. Funatsu; “Iterative optimization technology combined with wavelength selection based on excess absorption for a process analytical technology calibration-minimum approach,” Chemom. Intell. Lab. Syst. 156 137–147 (2016). [CrossRef] [Google Scholar]

[6] S. Shibayama, H. Kaneko, K. Funatsu, ”Formulation of the excess absorption in infrared spectra by numerical decomposition for effective process monitoring,” Comput. Chem. Eng. 113 86–97 (2018). [CrossRef] [Google Scholar]

[7] S. Shibayama, and K. Funatsu; “Applicability Domains of a Minimal-Calibration Model for Effective Online Monitoring of Pure Components’ Concentrations in the Pharmaceutical Continuous Manufacturing Processes”, 13th Int. Symp. Process Syst., 919–924 (2018). [Google Scholar]