Evaluation of the moisture content of Jatropha curcas kernels and the heating value of the oil-extracted residue using near-infrared spectroscopy

2015 ◽  
Vol 130 ◽  
pp. 52-59 ◽  
Author(s):  
Jetsada Posom ◽  
Panmanas Sirisomboon
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Jatropha Curcas ◽  
Near Infrared ◽  
Heating Value

Evaluation of the higher heating value, volatile matter, fixed carbon and ash content of ground bamboo using near infrared spectroscopy

2017 ◽  
Vol 25 (5) ◽  
pp. 301-310 ◽  
Author(s):  
Jetsada Posom ◽  
Panmanas Sirisomboon
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Model Development ◽  
Volatile Matter ◽  
Ash Content ◽  
Least Squares Regression ◽  
Fixed Carbon ◽  
Bomb Calorimetry ◽  
Heating Value

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.

Effect of Diet Composition on the Determination of Ash and Moisture Content in Solid Cattle Manure Using Visible and Near-Infrared Spectroscopy

2011 ◽  
Vol 65 (9) ◽  
pp. 1056-1061 ◽  
Author(s):  
Sharon L. P. Sakirkin ◽  
Cristine L. S. Morgan ◽  
James C. MacDonald ◽  
Brent W. Auvermann
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Diet Composition ◽  
Near Infrared ◽  
Cattle Manure

scholarly journals Fast analysis of high heating value and elemental compositions of sorghum biomass using near-infrared spectroscopy

Energy ◽  
2017 ◽  
Vol 118 ◽  
pp. 1353-1360 ◽  
Author(s):  
Ke Zhang ◽  
Ling Zhou ◽  
Michael Brady ◽  
Feng Xu ◽  
Jianming Yu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Fast Analysis ◽  
Heating Value ◽  
Elemental Compositions ◽  
High Heating Value ◽  
High Heating

In-Line Multipoint Near-Infrared Spectroscopy for Moisture Content Quantification during Freeze-Drying

2013 ◽  
Vol 85 (4) ◽  
pp. 2377-2384 ◽  
Author(s):  
Ari Kauppinen ◽  
Maunu Toiviainen ◽  
Ossi Korhonen ◽  
Jaakko Aaltonen ◽  
Kristiina Järvinen ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Freeze Drying ◽  
Near Infrared
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