Multivariate Analysis of Industrial Biorefinery Processes: Strategy for Improved Process Understanding with Case Studies in Fatty Acid Production
Author(s) -
Pieter Nachtergaele,
Joris Thybaut,
Steven De Meester,
David Drijvers,
Wouter Saeys,
Jo Dewulf
Publication year - 2020
Publication title -
industrial and engineering chemistry research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.878
H-Index - 221
eISSN - 1520-5045
pISSN - 0888-5885
DOI - 10.1021/acs.iecr.0c00515
Subject(s) - biorefinery , raw material , partial least squares regression , multivariate statistics , process engineering , process (computing) , pulp and paper industry , environmental science , biochemical engineering , computer science , microbiology and biotechnology , chemistry , mathematics , engineering , statistics , organic chemistry , biology , operating system
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