2013
DOI: 10.1016/j.biortech.2012.10.044
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Predicting the biochemical methane potential of wide range of organic substrates by near infrared spectroscopy

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Cited by 45 publications
(38 citation statements)
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“…However, Galassi et al (2010) did not observe a significant influence of supplementation of the diet with a mixture of 20% of wheat bran and 4% of sugar beet pulp on ammonia emissions and Triolo et al (2011) reported a high negative correlation (r=-0.952; p<0.001) between lignin content in the manure VS and its biochemical methane potential. Moreover, Bindelle et al (2009) demonstrated that the substitution of sugar beet pulp with a source of insoluble fibre, as oat hulls, decreased the synthesis of bacterial protein in the gut and the ratio faecal N:urinary N to levels similar or lower than those reached with the standard non sup- ally high which confirms the findings of other studies (Malley et al, 2002;Saeys et al, 2005;Ye et al, 2005;Sørensen et al, 2007) on the usefulness of this methodology to predict main chemical components of fresh slurry and the biochemical CH 4 potential in a range of organic substrates (Doublet et al, 2013;Triolo et al, 2014). The poor prediction for pH could be related to internal correlations to organic compounds giving no true correlations between pH and spectra absorbance peaks (Huang et al, 2007).…”
Section: Effects Of Dietary N Concentrationsupporting
confidence: 72%
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“…However, Galassi et al (2010) did not observe a significant influence of supplementation of the diet with a mixture of 20% of wheat bran and 4% of sugar beet pulp on ammonia emissions and Triolo et al (2011) reported a high negative correlation (r=-0.952; p<0.001) between lignin content in the manure VS and its biochemical methane potential. Moreover, Bindelle et al (2009) demonstrated that the substitution of sugar beet pulp with a source of insoluble fibre, as oat hulls, decreased the synthesis of bacterial protein in the gut and the ratio faecal N:urinary N to levels similar or lower than those reached with the standard non sup- ally high which confirms the findings of other studies (Malley et al, 2002;Saeys et al, 2005;Ye et al, 2005;Sørensen et al, 2007) on the usefulness of this methodology to predict main chemical components of fresh slurry and the biochemical CH 4 potential in a range of organic substrates (Doublet et al, 2013;Triolo et al, 2014). The poor prediction for pH could be related to internal correlations to organic compounds giving no true correlations between pH and spectra absorbance peaks (Huang et al, 2007).…”
Section: Effects Of Dietary N Concentrationsupporting
confidence: 72%
“…They have recently been applied for pig slurry analyses, and useful and accurate NIRS calibrations have been obtained for dry matter, ammonia N, total N and C (Malley et al, 2002;Saeys et al, 2005;Ye et al, 2005;Sørensen et al, 2007). Predicting methane potential emission using NIRS has also been recently a focus of interest to optimize anaerobic co-digestion processes (Doublet et al, 2013;Triolo et al, 2014). These calibrations need to be checked and updated periodically because of changes induced by variations in the slurry composition, but calibration maintenance, instrument validation, etc.…”
Section: Introductionmentioning
confidence: 99%
“…NIRS is a spectroscopic method using the infrared region of the electromagnetic spectrum (800-2500 nm) (Doublet et al, 2013). Generally, tedious experimental procedures are followed to measure chemical compositions such as carbon, nitrogen, lignin, cellulose and hemicelluloses of plants and batch test anaerobic digestion is initiated to measure the biogas potentials (Doublet et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…NIRS is a spectroscopic method using the infrared region of the electromagnetic spectrum (800-2500 nm) (Doublet et al, 2013). Generally, tedious experimental procedures are followed to measure chemical compositions such as carbon, nitrogen, lignin, cellulose and hemicelluloses of plants and batch test anaerobic digestion is initiated to measure the biogas potentials (Doublet et al, 2013). These laboratory tests are time consuming (the biogas batch test typically takes 30-90 days) and requires sample preparation which contrast to NIRS, as the latter requires no sample preparation and is a fast and easy method (Kandel et al, 2013a;Krapf et al, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…The NIR-based prediction models provide an indirect fast, inexpensive, and simple way to predict the BMPs of various feedstocks (Godin et al, 2015). The method has been used for estimating the BMP of meadow grasses (Raju et al, 2011), fibrous plant biomasses (Triolo et al, 2014), numerous organic substrates (Lesteur et al, 2011;Doublet et al, 2013), and Miscanthus giganteus, switch grass, spelt straw, fibre sorghum, tall fescue, and fibre corn (Godin et al, 2015). However, before the NIR is operated, many barriers need to be overcome, especially with respect to uncertainty due to the poor standard error of laboratory of the reference method (Ward, 2016).…”
Section: Near-infrared Spectroscopymentioning
confidence: 99%