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Compositional Analysis of Date Pit Using Thermal Gravimetric Analysis

Date pits have shown promising future in its use as an additive for water-based drilling fluids. This application accounts for a shift in the research interest to elucidate the composition of the Date pits. The cognizance of its elemental composition and chemical component would aid in on-going rese...

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Bibliographic Details
Published in:Waste and biomass valorization 2022-12, Vol.13 (12), p.4669-4683
Main Authors: Mohammed, Kazeem A., Adewole, Jimoh K.
Format: Article
Language:English
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Summary:Date pits have shown promising future in its use as an additive for water-based drilling fluids. This application accounts for a shift in the research interest to elucidate the composition of the Date pits. The cognizance of its elemental composition and chemical component would aid in on-going research on its use as water-based drilling fluids additive. Herein, we developed a protocol for rapid lignocellulosic compositional analysis of date pits. The protocol is basically a gravimetric method which requires no expensive equipment. The protocol combines proximate, ultimate and compositional analysis. For the compositional analysis, the moisture content was determined to be 7.00 ± 0.8%, 9.35 ± 1.3% extractives, 38.95 ± 0.7% hemicellulose, 18.35 ± 0.8% lignin, 25.11 ± 1.5% cellulose and 1.24 ± 0.2% Ash. The proximate analysis gave 5.80 ± 0.3% moisture, 8.07 ± 1.8% volatile matter, 84.7 ± 2.2% fixed carbon and 1.44 ± 0.2% ash. The ultimate analysis shows 57.75% Carbon, 4.91% Hydrogen, 29.65% Oxygen and 7.69% Nitrogen (by difference). Values of E a obtained using iso-conversional TGA models ranges between 140.5 and 318 kJ/mol and are well within the range for the pyrolysis of lignin, cellulose and hemicellulose, which further confirmed the main constituents of the Dates pit. The TG compositional analysis result were used to confirm the accuracy of our protocol by employing F-test to determine the significant differences between the analytical results of which all the F calculated values obtained were significantly lower than F values obtained from the F-distribution table at 95% confidence level (an indication that null hypothesis can be accepted). Therefore, it can be concluded that there are no significant differences between the analytical results. Hence, the methods can be used for rapid analysis of other lignocellulosic biomass with the aim of obtaining a better understanding of their structure-properties relationship with respect to their performance in oilfield applications. Graphical Abstract
ISSN:1877-2641
1877-265X
DOI:10.1007/s12649-022-01780-3