scholarly journals Water up-take in fuel pellets studied by Dynamic Vapour Sorption (DVS) analysis and its potential role in self-heating during storage

2018 ◽  
Vol 77 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Calle Nilsson ◽  
Henrik Ramebäck ◽  
Callum Hill ◽  
Mehrdad Arshadi
Keyword(s):  
Potential Role ◽  
Self Heating ◽  
Vapour Sorption ◽  
Fuel Pellets ◽  
Dynamic Vapour Sorption

scholarly journals Quantifying the hygroscopic properties of cyclodextrin containing aerosol for drug delivery to the lungs

2020 ◽  
Vol 22 (20) ◽  
pp. 11327-11336
Author(s):  
C. P. F. Day ◽  
A. Miloserdov ◽  
K. Wildish-Jones ◽  
E. Pearson ◽  
A. E. Carruthers
Keyword(s):  
Drug Delivery ◽  
Growth Factor ◽  
Hygroscopic Growth ◽  
Vapour Sorption ◽  
Hygroscopic Properties ◽  
Dynamic Vapour Sorption

The hygroscopic growth factor for individual aqueous 2-hydroxypropyl β-cyclodextrin droplets has been measured and compared with dynamic vapour sorption measurements.

45S5 bioactive glass reactivity by dynamic vapour sorption

2016 ◽  
Vol 432 ◽  
pp. 47-52 ◽  
Author(s):  
Shiva Naseri ◽  
William C. Lepry ◽  
Wei Li ◽  
Kristian E. Waters ◽  
Aldo R. Boccaccini ◽  
...  
Keyword(s):  
Bioactive Glass ◽  
Vapour Sorption ◽  
Dynamic Vapour Sorption

Sorption behaviour of torrefied wood and charcoal determined by dynamic vapour sorption

2015 ◽  
Vol 50 (23) ◽  
pp. 7673-7680 ◽  
Author(s):  
Maija Kymäläinen ◽  
Lauri Rautkari ◽  
Callum A. S. Hill
Keyword(s):  
Sorption Behaviour ◽  
Vapour Sorption ◽  
Dynamic Vapour Sorption

scholarly journals Erratum to: Sorption behaviour of torrefied wood and charcoal determined by dynamic vapour sorption

2015 ◽  
Vol 51 (2) ◽  
pp. 1161-1161 ◽  
Author(s):  
Maija Kymäläinen ◽  
Lauri Rautkari ◽  
Callum A. S. Hill
Keyword(s):  
Sorption Behaviour ◽  
Vapour Sorption ◽  
Dynamic Vapour Sorption

scholarly journals NARX Neural Network Modelling of Mushroom Dynamic Vapour Sorption Kinetics

2016 ◽  
Vol 49 (16) ◽  
pp. 305-310 ◽  
Author(s):  
Dimitrios Argyropoulos ◽  
Dimitris S. Paraforos ◽  
Rainer Alex ◽  
Hans W. Griepentrog ◽  
Joachim Müller
Keyword(s):  
Neural Network ◽  
Sorption Kinetics ◽  
Network Modelling ◽  
Neural Network Modelling ◽  
Vapour Sorption ◽  
Dynamic Vapour Sorption ◽  
Narx Neural Network

scholarly journals Dynamic vapour sorption protocols for the quantification of accessible hydroxyl groups in wood

Holzforschung ◽  
2020 ◽  
Vol 74 (4) ◽  
pp. 412-419 ◽  
Author(s):  
Tuuli Uimonen ◽  
Saara Hautamäki ◽  
Michael Altgen ◽  
Maija Kymäläinen ◽  
Lauri Rautkari
Keyword(s):  
Moisture Content ◽  
Inclusion Compounds ◽  
Deuterium Oxide ◽  
Rate Of Change ◽  
Hydroxyl Groups ◽  
Sample Mass ◽  
Vapour Sorption ◽  
Dynamic Vapour Sorption ◽  
Measurement Protocol ◽  
The Impact

AbstractThis study investigated several key parameters of deuterium exchange measurements in a dynamic vapour sorption apparatus to optimise the measurement protocol for hydroxyl (OH) group accessibility determination. The impact of changing the sample mass, the deuterium oxide (D2O) vapour exposure time and the rate of change in moisture content (dm dt−1) during the drying steps on the measured OH group accessibility were analysed. A sample mass of more than 10 mg, an exposure to D2O vapour of at least 10 h and a dm dt−1 of 0.0005% min−1 over a 10-min period during the drying steps gave the most reliable results. We also investigated the necessity of adding a method stage that eliminates the effect of inclusion compounds (ICs). The addition of an initial drying and wetting stage enabled the release of entrapped solvents.

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