作者: Felicia N. Ihunegbo , Michael Madsen , Kim H. Esbensen , Jens Bo Holm-Nielsen , Maths Halstensen
DOI: 10.1016/J.CHEMOLAB.2011.10.009
关键词:
摘要: article i nfo Dry matter is an important process control parameter in the bioconversion application field. Acoustic chemo- metrics, as a Process Analytical Technology (PAT) modality for quantitative characterisation of dry complex bioslurry systems (biogas fermentation), has not been successful despite several earlier dedicated attempts. A full-scale feasibility study based on standard addition experiments involving natural plant bio- mass was conducted using multivariate calibration (Partial Least Squares Regression, PLS-R) acoustic sig- natures against content (total solids, TS). Prediction performance optimised implementation evaluated independent test set validation, with estimates accuracy (slope predicted vs. reference values) and precision (squared correlation coefficient, r 2 ) 0.94 0.97 respective- ly, RMSEP 0.32% w/w (RMSEPrel=3.86%) range 5.8-10.8% matter. Based these excellent prediction measures, it concluded that chemometrics come age full grown PAT approach on-line monitoring (TS) bioslurry, promising potential other biomass processing industries well.