Chemometric analysis and NIR spectroscopy to evaluate odorous impact during the composting of different raw materials
作者： M Toledo , MC Gutiérrez , JA Siles , J García-Olmo , MA Martín
DOI: 10.1016/J.JCLEPRO.2017.08.163
关键词:
摘要: This study evaluated odor generated during the first stage of composting process in a dynamic respirometer using different raw materials such as organic fraction municipal solid waste (OFMSW), mixture this with orange peel (OFMSW-OPW), sewage sludge bulking agent (SL) and strawberry extrudate, fish waste, (SFWSL). The combination near infrared reflectance (NIR) spectroscopy chemometric analysis is proposed to correlate chemical composition operational variables each material process. temperature, respirometric index (DRI), airflow (Q), concentration (OC) emission rate (OER) were monitored. Adequate linear correlations obtained between temperature DRI for compostable substrate within confidence interval 10% 30%. Operational statistically analyzed by principal component 87% total variance explained from which substrates clearly grouped. Near provided material, was found be an advantageous technique predict relationship emissions absorption bands. Odor also predicted multivariate regression, being most influential variables.
elsevier.com
sci-hub.se 参考文章(35)
James Reeves, Jerome J. Workman, Charlotte Ann Roberts, Near-infrared spectroscopy in agriculture ,(2004)
Luca Alibardi, Raffaello Cossu, Composition variability of the organic fraction of municipal solid waste and effects on hydrogen and methane production potentials Waste Management. ,vol. 36, pp. 147- 155 ,(2015) , 10.1016/J.WASMAN.2014.11.019
Eui-Cheol Shin, Brian D. Craft, Ronald B. Pegg, R. Dixon Phillips, Ronald R. Eitenmiller, Chemometric approach to fatty acid profiles in Runner-type peanut cultivars by principal component analysis (PCA) Food Chemistry. ,vol. 119, pp. 1262- 1270 ,(2010) , 10.1016/J.FOODCHEM.2009.07.058
MA Martín, JA Siles, AF Chica, A Martín, None, Biomethanization of orange peel waste Bioresource Technology. ,vol. 101, pp. 8993- 8999 ,(2010) , 10.1016/J.BIORTECH.2010.06.133
A. M. C. DAVIES, A. GRANT, Review: Near infra‐red analysis of food International Journal of Food Science and Technology. ,vol. 22, pp. 191- 207 ,(2007) , 10.1111/J.1365-2621.1987.TB00479.X
Remy Albrecht, Richard Joffre, Raphaël Gros, Jean Le Petit, Gérard Terrom, Claude Périssol, Efficiency of near-infrared reflectance spectroscopy to assess and predict the stage of transformation of organic matter in the composting process. Bioresource Technology. ,vol. 99, pp. 448- 455 ,(2008) , 10.1016/J.BIORTECH.2006.12.019
S. Sivakesava, J. Irudayaraj, Rapid Determination of Tetracycline in Milk by FT-MIR and FT-NIR Spectroscopy Journal of Dairy Science. ,vol. 85, pp. 487- 493 ,(2002) , 10.3168/JDS.S0022-0302(02)74099-X
I GONZALEZMARTIN, N ALVAREZGARCIA, J GONZALEZCABRERA, Near-infrared spectroscopy (NIRS) with a fibre-optic probe for the prediction of the amino acid composition in animal feeds Talanta. ,vol. 69, pp. 706- 710 ,(2006) , 10.1016/J.TALANTA.2005.11.015
A. Vergnoux, M. Guiliano, Y. Le Dréau, J. Kister, N. Dupuy, P. Doumenq, Monitoring of the evolution of an industrial compost and prediction of some compost properties by NIR spectroscopy Science of The Total Environment. ,vol. 407, pp. 2390- 2403 ,(2009) , 10.1016/J.SCITOTENV.2008.12.033
Daniel Cozzolino, A. Chree, J. R. Scaife, Ian Murray, Usefulness of near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species. Journal of Agricultural and Food Chemistry. ,vol. 53, pp. 4459- 4463 ,(2005) , 10.1021/JF050303I