z-logo
open-access-imgOpen Access
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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom