scholarly journals Measurement of the calorific content of propofol using bomb calorimetry

2020 ◽  
pp. 175114372094068
Author(s):  
David Nesvadba ◽  
Nicole Sime ◽  
Jan Jansen
1978 ◽  
Vol 56 (9) ◽  
pp. 1917-1921 ◽  
Author(s):  
Kim W. Strong ◽  
Graham R. Daborn

Ash, calorific, and carbonate contents were determined monthly for Idotea baltica from Cape Blomidon, N.S. Although changes in calories per gram dry weight (1 cal = 4.1868 J) were correlated with reproductive effort, variations in the ash-free calorific value were difficult to interpret because of considerable changes in ash content. In mature animals, variation in percent ash was apparently associated with gametogenesis but ash variation in immature animals could not be explained. The importance of adequate carbonate corrections in bomb calorimetry is emphasized.


1984 ◽  
Vol 16 (7) ◽  
pp. 661-668 ◽  
Author(s):  
James Bickerton ◽  
Manuel E Minas da Piedade ◽  
Geoffrey Pilcher

Fuel ◽  
1985 ◽  
Vol 64 (1) ◽  
pp. 74-79
Author(s):  
Yingdu Luo ◽  
Yinghua Li
Keyword(s):  

Carbon ◽  
2013 ◽  
Vol 63 ◽  
pp. 324-329 ◽  
Author(s):  
Nikolay B. Cherkasov ◽  
Serguei V. Savilov ◽  
Anton S. Ivanov ◽  
Valery V. Lunin

1961 ◽  
Vol 65 (7) ◽  
pp. 1168-1172 ◽  
Author(s):  
Elliott Greenberg ◽  
Jack L. Settle ◽  
Harold M. Feder ◽  
Ward N. Hubbard

2017 ◽  
Vol 25 (5) ◽  
pp. 301-310 ◽  
Author(s):  
Jetsada Posom ◽  
Panmanas Sirisomboon

This research aimed to determine the higher heating value, volatile matter, fixed carbon and ash content of ground bamboo using Fourier transform near infrared spectroscopy as an alternative to bomb calorimetry and thermogravimetry. Bamboo culms used in this study had circumferences ranging from 16 to 40 cm. Model development was performed using partial least squares regression. The higher heating value, volatile matter, fixed carbon and ash content were predicted with coefficients of determination (r2) of 0.92, 0.82, 0.85 and 0.51; root mean square error of prediction (RMSEP) of 122 J g−1, 1.15%, 1.00% and 0.77%; ratio of the standard deviation to standard error of validation (RPD) of 3.66, 2.55, 2.62 and 1.44; and bias of 14.4 J g−1, −0.43%, 0.03% and −0.11%, respectively. This report shows that near infrared spectroscopy is quite successful in predicting the higher heating value, and is usable with screening for the determination of fixed carbon and volatile matter. For ash content, the method is not recommended. The models should be able to predict the properties of bamboo samples which are suitable for achieving higher efficiency for the biomass conversion process.


1963 ◽  
Vol 67 (11) ◽  
pp. 2388-2390 ◽  
Author(s):  
Edgars Rudzitis ◽  
Harold M. Feder ◽  
Ward N. Hubbard

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