The study evaluated the effectiveness of air biofiltration in rendering plants. The biofilter material comprised compost soil (40%) and peat (40%) mixed up with coconut fiber (medium A) and oak bark (medium B). During biofiltration average VOCs reduction reached 88.4% for medium A and 89.7% for medium B. A positive relationship of aldehyde reduction from material humidity (r = 0.502; α<0.05) was also noted. Other biomaterial parameters did not affect the treatment efficiency.
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World J Microbiol Biotechnol
January 2025
Institute of Chemical Technology - Vietnam Academy of Science and Technology, 1A TL29 Street, Thanh Loc Ward, District 12, Ho Chi Minh City, Vietnam.
This study demonstrated a novel approach to accurately estimate 5-day biochemical oxygen demand (BOD) in textile wastewater using a microbial consortium from food processing wastewater fixed on coconut fibers. Although glucose-glutamic acid (GGA) has been widely known as the most preferred substrates for microbial respiration, its calibration surprisingly resulted in an overestimation of BOD in textile wastewater due to its lower utilization rate compared to that of textile wastewater. After being adapted with a new nutrient environment composed of GGA and textile wastewater, the adapted packed-bed bioreactors (PBBRs) was capable of accurate estimation of BOD in textile wastewater using GGA standard solution.
View Article and Find Full Text PDFLangmuir
January 2025
Center for Environmental Process Engineering, Department of Chemical Engineering and Polymer Science, Shahjalal University of Science and Technology, Sylhet 3114, Bangladesh.
Precise prediction of adsorption in a multicomponent system is vital for successful design of dye-contaminated industrial wastewater treatment processes. The present work looks for the reason behind the failure of the competitive Langmuir model (CLM) to describe adsorption in such systems, while the Langmuir model (LM) successfully describes the process for a single dye solution. With that end, derivations of LM and CLM have been revisited, and a criterion for the universality of active sites has been defined.
View Article and Find Full Text PDFSci Rep
December 2024
Civil Engineering Department, Kampala International University, Kampala, Uganda.
The present research incorporates five AI methods to enhance and forecast the characteristics of building envelopes. In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB), Artificial Neural Networks (ANN), and Random Forest (RF) machine learning method for optimization and predicting the mechanical properties of natural fiber addition incorporated with construction and demolition waste (CDW) as replacement of Fine Aggregate in Paver blocks. In this study, factors considered were cement content, natural fine aggregate, CDW, and coconut fibre, while the resulting measure was the machinal properties of the paver blocks.
View Article and Find Full Text PDFFood Sci Nutr
December 2024
Department of Food Science and Technology, Science and Research Branch Islamic Azad University Tehran Iran.
Coconut endosperm residue is a rich dietary fiber resource; however, its hydration properties are poor. To enhance the functionality and applications of coconut endosperm residue dietary fiber (CERDF) in the food industry, ultrasound, cellulase, and hemicellulase hydrolysis combined with carboxymethylation or phosphate crosslinking have been used. The impact of the modified CERDFs on egg white protein gel (EWPG) was also studied.
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