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Monitoring of the ester production by near-near infrared thermal lens spectroscopy
[Display omitted] •Thermal lens spectroscopy to monitor transesterification reaction during biodiesel production.•Overtones of O-H and C-H vibrations for monitoring biodiesel production.•Thermo-optical properties for information on the biodiesel production time and quality. Near-near infrared (N-NIR...
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Published in: | Fuel (Guildford) 2019-10, Vol.253, p.1090-1096 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | [Display omitted]
•Thermal lens spectroscopy to monitor transesterification reaction during biodiesel production.•Overtones of O-H and C-H vibrations for monitoring biodiesel production.•Thermo-optical properties for information on the biodiesel production time and quality.
Near-near infrared (N-NIR) Thermal Lens Spectroscopy (TLS) was used to monitor the transesterification reaction during biodiesel production. Fifteen aliquots were extracted from the reaction during 20 min and their thermo-optical properties were measured as a function of the reaction time. A spectroscopic investigation was performed between 855 and 990 nm to identify overtone absorptions bands (markers) to monitor the chemical reaction. The results show that the OH absorption overtone (∼970 nm) from alcohol, which is used in the reaction, is the most appropriated marker to monitor the biodiesel production. The time dependence of the thermo-optical parameter A(dn/dQ), which is the product between the absorption coefficient (A) and the refractive index dependence with the sample deposited heat (dn/dQ), exhibits a very good correlation with the ester production measured by chromatography. Besides, the measured thermal diffusivity values as function of reaction time indicates a strong dependence with the viscosity of the aliquots. It is possible to conclude that the used TLS in the N-NIR region contributes to the optimization of biodiesel production process by indicating the best time to stop the reaction. |
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ISSN: | 0016-2361 1873-7153 |
DOI: | 10.1016/j.fuel.2019.05.097 |