Primary Constitution and Proximal Analysis of Three Fabaceae by the Thermogravimetric and Chemical Methods for Their Potential Use as Bioenergy

The standard methods for determining the basic chemical composition of wood are well-established, but include processes that demand a great deal of time and diverse chemical reagents. TGA and DTG analyses, in contrast, offer precise results in less time. This study was designed to identify the primary components and results of the proximal analysis of wood from three species –Acacia farnesiana, A. pennatula and Albizia plurijuga—using TGA with deconvolution of the DTG curve and a chemical method. Higher heating value (HHV) was determined using a bomb calorimeter and mathematical models. Elemental organic and inorganic analyses were conducted. No statistically significant differences appeared in the results of the TGA-DTG and chemical methods for the wood in terms of cellulose, lignin, and volatile material content. Results were especially accurate in the samples of A. pennatula and A. plurijuga for hemicelluloses, extractives, and moisture. Regarding HHV, the wood of A. plurijuga showed no statistically significant differences between the bomb calorimeter test, calculations as a function of chemical composition, or the proximal analysis. Elemental organic results were C = 43.76–46.65%; H = 6.70–6.95%; O = 46.06–48.95%; N = 0.21–0.42%; and S = 0.06–0.11%. For the inorganic fraction we identified 18 elements in the ash. We conclude that the TGA-DTG method made it possible to obtain results in a short time with no need for the numerous reagents that chemical processes require. Findings suggest that in the absence of a bomb calorimeter, the best model for calculating HHV is proximal analysis.

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Journal
Processes
Published
2025-12-03
DOI
https://doi.org/10.3390/pr13123907
Primary Topic
Wood Treatment and Properties
Type
article
Field-Weighted Citation Impact
0.00

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article

Primary Constitution and Proximal Analysis of Three Fabaceae by the Thermogravimetric and Chemical Methods for Their Potential Use as Bioenergy

Víctor M. Ruiz-García, Jorge Víctor Alcaráz Vera, Luis Fernando Pintor-Ibarra, José Guadalupe Rutiaga-Quiñones et al.
Processes
Wood Treatment and Properties
article

Primary Constitution and Proximal Analysis of Three Fabaceae by the Thermogravimetric and Chemical Methods for Their Potential Use as Bioenergy

Víctor M. Ruiz-García, Jorge Víctor Alcaráz Vera, Luis Fernando Pintor-Ibarra, José Guadalupe Rutiaga-Quiñones, Oswaldo Moreno-Anguiano, Rafael Herrera‐Bucio, José Juan Alvarado-Flores
article en

Abstract

The standard methods for determining the basic chemical composition of wood are well-established, but include processes that demand a great deal of time and diverse chemical reagents. TGA and DTG analyses, in contrast, offer precise results in less time. This study was designed to identify the primary components and results of the proximal analysis of wood from three species –Acacia farnesiana, A. pennatula and Albizia plurijuga—using TGA with deconvolution of the DTG curve and a chemical method. Higher heating value (HHV) was determined using a bomb calorimeter and mathematical models. Elemental organic and inorganic analyses were conducted. No statistically significant differences appeared in the results of the TGA-DTG and chemical methods for the wood in terms of cellulose, lignin, and volatile material content. Results were especially accurate in the samples of A. pennatula and A. plurijuga for hemicelluloses, extractives, and moisture. Regarding HHV, the wood of A. plurijuga showed no statistically significant differences between the bomb calorimeter test, calculations as a function of chemical composition, or the proximal analysis. Elemental organic results were C = 43.76–46.65%; H = 6.70–6.95%; O = 46.06–48.95%; N = 0.21–0.42%; and S = 0.06–0.11%. For the inorganic fraction we identified 18 elements in the ash. We conclude that the TGA-DTG method made it possible to obtain results in a short time with no need for the numerous reagents that chemical processes require. Findings suggest that in the absence of a bomb calorimeter, the best model for calculating HHV is proximal analysis.

ProcessesVol. 13(12)
Universidad Michoacana de San Nicolás de Hidalgo (MX), Universidad Nacional Autónoma de México (MX)
Universidad Michoacana de San Nicolás de Hidalgo
Openalex Percentile: Top 59%
Wood Treatment and Properties
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