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Volumn 1, Issue 1, 2016, Pages 96-100

Online quantitative mass spectrometry for the rapid adaptive optimisation of automated flow reactors

(10) Holmes, Nicholas a Akien, Geoffrey R a,b Savage, Robert J D a Stanetty, Christian c Baxendale, Ian R c Blacker, A John a Taylor, Brian A d Woodward, Robert L d Meadows, Rebecca E d Bourne, Richard A a,d

a UNIVERSITY OF LEEDS (United Kingdom)

b LANCASTER UNIVERSITY (United Kingdom)

c DURHAM UNIVERSITY (United Kingdom)

d ASTRAZENECA (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84979286008 PISSN: None EISSN: 20589883 Source Type: Journal
DOI: 10.1039/c5re00083a Document Type: Article

Times cited : (109)

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- DoE models were analysed and optimised using MODDE v10.1.1 (Umetrics)
- DoE models were analysed and optimised using MODDE v10.1.1 (Umetrics)

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