Abstract
The aim of this study was to use the near infrared spectroscopy for predicting the gross calorific value (GCV) and ash content (AC) of recycled sawdust from mushroom cultivation. The wavenumber was in range of 12500-4000 cm-1 with the diffuse reflection mode was used. The NIR models was established using partial least square regression (PLSR) and was validated via using full cross validation. GCV model provided the coefficient of determination (R2), root mean square error of cross validation (RMSECV), ratio of prediction to deviation (RPD), and bias of 0.90, 445 J/g, 3.19 and 4 J/g, respectively. The AC model gave the R2, RMSECV, RPD and bias of 0.83, 1.7000 %wt, 2.44 and 0.0059 %wt, respectively. For prediction of unknow samples, GCV model provided the standard error of prediction (SEP) and bias of 670 J/g and -654 J/g, respectively. The AC model gave the SEP and bias of 1.84 %wt and 0.912 %wt, respectively. The result represented that the GCV and AC model probably used as the rapid method and non-destructive method.
Highlights
Mushroom, one of the most popular and a valuable edible fungus is highly appreciated in human diet because of its delicacy, texture and extreme amounts of proteins, minerals and bioactive compounds [1]
Heating value can be divided into higher heating value (HHV) or gross calorific value (GCV); and lower heating value (LHV) or net calorific value (NHV)
The GCV and ash content (AC) were between 12119-17777 J/g and 1.866-19.034 %wt, respectively
Summary
One of the most popular and a valuable edible fungus is highly appreciated in human diet because of its delicacy, texture and extreme amounts of proteins, minerals and bioactive compounds [1]. The sawdust after mushroom cultivation is often reused to fertilizer, and it is either piled up in fields for a slow degradation. The recycle of these agricultural waste materials may help to improve the regional economies of the country. Biomass are forms of renewable energy directly derived from organic materials such as plants, fastgrowing trees and agricultural residues and waste. Heating value can be divided into higher heating value (HHV) or gross calorific value (GCV); and lower heating value (LHV) or net calorific value (NHV). The bomb calorimeter is instrument for determination of the GCV
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