Petroleum Research Today is a free monthly online journal that collates and summarizes the latest research about Petroleum, including details on crude oil, extraction, chemistry, pollution. | ||||||||
|
On-line near infrared monitoring of glycerol-boosted anaerobic digestion processes: evaluation of process analytical technologies.Holm-Nielsen JB, Lomborg CJ, Oleskowicz-Popiel P, Esbensen KH Applied Chemometrics, Analytical Chemistry, Acoustic Chemometrics, Applied Biotechnology, Bioenergy and Sampling Research Group, Esbjerg Institute of Technology, Aalborg University, Niels Bohrs Vej 8, 6700 Esbjerg, Denmark. jhn@aaue.dk A study of NIR as a tool for process monitoring of thermophilic anaerobic digestion boosted by glycerol has been carried out, aiming at developing simple and robust Process Analytical Technology modalities for on-line surveillance in full scale biogas plants. Three 5 L laboratory fermenters equipped with on-line NIR sensor and special sampling stations were used as a basis for chemometric multivariate calibration. NIR characterisation using Transflexive Embedded Near Infra-Red Sensor (TENIRS) equipment integrated into an external recurrent loop on the fermentation reactors, allows for representative sampling, of the highly heterogeneous fermentation bio slurries. Glycerol is an important by-product from the increasing European bio-diesel production. Glycerol addition can boost biogas yields, if not exceeding a limiting 5-7 g L(-1) concentration inside the fermenter-further increase can cause strong imbalance in the anaerobic digestion process. A secondary objective was to evaluate the effect of addition of glycerol, in a spiking experiment which introduced increasing organic overloading as monitored by volatile fatty acids (VFA) levels. High correlation between on-line NIR determinations of glycerol and VFA contents has been documented. Chemometric regression models (PLS) between glycerol and NIR spectra needed no outlier removals and only one PLS-component was required. Test set validation resulted in excellent measures of prediction performance, precision: r(2) = 0.96 and accuracy = 1.04, slope of predicted versus reference fitting. Similar prediction statistics for acetic acid, iso-butanoic acid and total VFA proves that process NIR spectroscopy is able to quantify all pertinent levels of both volatile fatty acids and glycerol. Published 24 December 2007 in Biotechnol Bioeng, 99(2): 302-13.
© 2005-2008 Petroleum Research Today. All Rights Reserved. |
| ||||||