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A predictive toolset for the identification of effective li..:
Achinivu, Ezinne C.
;
Mohan, Mood
;
Choudhary, Hemant
...
Green Chemistry. 23 (2021) 18 - p. 7269-7289 , 2021
Link:
https://doi.org/10.1039/d1gc01186c
RT Journal T1
A predictive toolset for the identification of effective lignocellulosic pretreatment solvents: a case study of solvents tailored for lignin extraction
UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d1gc01186c&Exemplar=1&LAN=DE A1 Achinivu, Ezinne C. A1 Mohan, Mood A1 Choudhary, Hemant A1 Das, Lalitendu A1 Huang, Kaixuan A1 Magurudeniya, Harsha D. A1 Pidatala, Venkataramana R. A1 George, Anthe A1 Simmons, Blake A. A1 Gladden, John M. PB Royal Society of Chemistry (RSC) YR 2021 SN 1463-9262 SN 1463-9270 JF Green Chemistry VO 23 IS 18 SP 7269 OP 7289 LK http://dx.doi.org/https://doi.org/10.1039/d1gc01186c DO https://doi.org/10.1039/d1gc01186c SF ELIB - SuUB Bremen
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