Small and medium-scale biorefineries are processing facilities designed to produce a portfolio of value-added products with applications in different productive sectors. The Territory of the Southern Coast (TSC) of Bahia in Brazil has a high potential to provide agricultural and forest biomass for these bioindustries. This study focuses on quantifying the biomass of key agricultural crops in the TSC from 1999 to 2019, utilizing data from the Municipal Agricultural Production (MAP) survey conducted by the Brazilian Institute of Geography and Statistics (IBGE). The biomass is subsequently categorized based on its applications in pharmaceutical and other industries, employing the Classification and Regression Tree (CART) algorithm, specifically using the Gini Index. Thus, our results reveal a noteworthy trend over 20 years through a time series analysis. For example, banana production (1.3 Mt) surpassed cocoa production (1.1 Mt) despite cocoa cultivation covering a vast 5.8 million hectares expanse compared to the smaller banana footprint. Cocoa and cassava are significant contributors, representing 41.95% and 30.51% of the total raw material, collectively constituting 72.46% of the TSC biomass. In addition, coffee biomass has been profiled as a raw material with potential applications across various industries, while bananas are oriented towards supplying pharmaceutical inputs. Forest species also have the potential for use in the pharmaceutical industry. In conclusion, small and medium-scale biorefineries can help increase agricultural and forest biomass use to provide inputs for various industries and guarantee positive social impacts for the population.
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http://dx.doi.org/10.1007/s11356-025-35886-7 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Federal University of Southern Bahia - UFSB, Itabuna, Bahia, Brazil.
Small and medium-scale biorefineries are processing facilities designed to produce a portfolio of value-added products with applications in different productive sectors. The Territory of the Southern Coast (TSC) of Bahia in Brazil has a high potential to provide agricultural and forest biomass for these bioindustries. This study focuses on quantifying the biomass of key agricultural crops in the TSC from 1999 to 2019, utilizing data from the Municipal Agricultural Production (MAP) survey conducted by the Brazilian Institute of Geography and Statistics (IBGE).
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 100101, China.
Human activity recognition by radar sensors plays an important role in healthcare and smart homes. However, labeling a large number of radar datasets is difficult and time-consuming, and it is difficult for models trained on insufficient labeled data to obtain exact classification results. In this paper, we propose a multiscale residual weighted classification network with large-scale, medium-scale, and small-scale residual networks.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China.
The carbon emissions of three typical processes (AAO, MSBR, and oxidation ditch) were systematically analyzed from the perspective of the whole wastewater treatment process based on the annual data of eleven urban small and medium-scale WWTPs in the year 2022, and the effects of different influent characteristics (TP, TN, BOD, COD, influent volume, and COD/TN) on the carbon emissions were studied by using the partial least squares structural equation modeling (PLS-SEM) method. The results showed that indirect carbon emissions dominated the total carbon emissions of small and medium-scale WWTPs (69.5%), and carbon emissions from electricity consumption were the largest source (43.
View Article and Find Full Text PDFBioinformatics
December 2024
Chemical and Biochemical Process Technology and Control (BioTeC+), KU Leuven, 9000 Gent, Belgium.
Motivation: Analysis of metabolic networks through extreme rays such as extreme pathways and elementary flux modes has been shown to be effective for many applications. However, due to the combinatorial explosion of candidate vectors, their enumeration is currently limited to small- and medium-scale networks (typically <200 reactions). Partial enumeration of the extreme rays is shown to be possible, but either relies on generating them one-by-one or by implementing a sampling step in the enumeration algorithms.
View Article and Find Full Text PDFHeliyon
August 2024
Tecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501, Monterrey, 64849, N.L., Mexico.
Dual-chamber microbial fuel cells (DC-MFC) are devices that can be used to generate electricity through the degradation of substrates. In this study, the performance of DC-MFC with novel electrode materials is evaluated under different external resistance using a hydrochloric acid solution as catholyte. Hydrophilic-treated graphene was used as the electrode material, DuPont Nafion 117 was used as the proton exchange membrane and domestic wastewater served as the substrate.
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