Use of near infrared spectroscopy in online-monitoring of feeding substrate quality in anaerobic digestion

2011 ◽  
Vol 102 (7) ◽  
pp. 4688-4696 ◽  
Author(s):  
H. Fabian Jacobi ◽  
Christian R. Moschner ◽  
Eberhard Hartung
2015 ◽  
Vol 194 ◽  
pp. 1-9 ◽  
Author(s):  
Madalena V. Cruz ◽  
Mafalda Cruz Sarraguça ◽  
Filomena Freitas ◽  
João Almeida Lopes ◽  
Maria A.M. Reis

2009 ◽  
Vol 60 (2) ◽  
pp. 339-346 ◽  
Author(s):  
H. Fabian Jacobi ◽  
Christian R. Moschner ◽  
Eberhard Hartung

Recently biogas production from agricultural sources has rapidly developed. Therefore the demands on biogas plants to optimise the efficiency of the anaerobic digestion (AD) process have grown immensely. At present there is no online-supervision tool available to monitor the AD process, but costly and time-consuming chemical analyses are necessary. The possibility to use near-infrared spectroscopy (NIRS) in order to track relevant process parameters like total volatile fatty acids (VFA), acetic acid and propionic acid was investigated in the present research project. A NIR-sensor was integrated into a full-scale 1 MW biogas plant and NIR-spectra of the fermenter contents were recorded semi-continuously for 500 days. Weekly samples were taken and analysed for the above mentioned parameters. Calibration models were calculated, capable of following these parameters: VFA (r2=0.94), acetic acid (r2=0.69), propionic acid (r2=0.89).


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Xiaodong Zhang ◽  
Long Chen ◽  
Yu Bai ◽  
Keli Chen

Near-infrared spectroscopy has been widely used in qualitative and quantitative analysis and online monitoring in the production process of traditional Chinese medicines. The aim was to establish a fast determination model of zinc oxide (ZnO) content in calcined calamine and to explore methods through judging the end point of calamine calcination. Eight batches of calamine samples sourced from hydrozincite with different sizes and textures were calcined at different temperatures. During the calcination process, ZnO contents, X-ray diffraction (XRD) patterns, and near-infrared spectra of the samples were used to analyze their changes rules. The model of determining ZnO content of calcined calamine was established to use near-infrared spectroscopy based on the partial least squares (PLS) regression algorithm. In addition, this paper summarized the change rules of calamine in calcination according to XRD patterns, using the “K value” quantitative method to define the characteristic T value. When the T value was equal to 1.00 (100%), that is to say, the calamine sample was completely calcined. Then, matching the near-infrared spectroscopy data with the T value and establishing the T value analysis model using the PLS algorithm were performed. Through cross and independent validation and evaluation, it was proved that the two models were very effective and had strong predictive abilities. Finally, the purpose of the online monitoring of the calcination process and controlling the quality of the calcined calamine was achieved.


2004 ◽  
Vol 9 (3) ◽  
pp. 553 ◽  
Author(s):  
Peter Snoer Jensen ◽  
Jimmy Bak ◽  
Søren Ladefoged ◽  
Stefan Andersson-Engels ◽  
Lennart Friis-Hansen

2005 ◽  
Vol 41 (3) ◽  
pp. 535-545 ◽  
Author(s):  
Fabio H. Florenzano ◽  
Pascal Enohnyaket ◽  
Vanessa Fleming ◽  
Wayne F. Reed

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