Design of composite chitosan/algae/zeolite by freeze- or air-drying: A comparative adsorbent analysis for optimized removal of brilliant green dye.

A bio-composite material was developed that contains chitosan, food-grade algae, and zeolite for the removal of brilliant green (BG) dye. The synthesized bio-composite was dried via two different methods (air-drying; AD, and freeze-drying; FD). The physicochemical characterization of air-dried chitosan-algae-zeolite (Cs-Alg-Zl-AD) and freeze-dried chitosan-algae-zeolite (Cs-Alg-Zl-FD) were investigated by spectroscopy (FTIR, SEM-EDX, and XPS), diffraction (XRD), surface charge via pH, specific surface area (SSA) and elemental analyses.

Novel Insights into Cr(VI)-Induced Rhamnolipid Production and Gene Expression in RW9 for Potential Bioremediation.

Rhamnolipid (RL) is renowned for its efficacy in bioremediating several types of organic and metal contaminants. Nevertheless, there has been a scarcity of studies specifically examining the relationship between this substance and metals, especially in terms of their impact on RL formation and the underlying interaction processes. This study addresses this gap by investigating the RL mechanism in Cr (VI) remediation and evaluating its effect on RL production in RW9.

Activated biochar production from young coconut waste (Cocos nucifera) as bioadsorbent: a pathway through Artificial Neural Network (ANN) optimization.

This pioneering work explores the immense potential of young coconut waste, a continuously marginalized residue of the food and beverage industry, to serve as an indispensable feedstock in the production of biochar. Through an examination of the key carbonization factors that include time, temperature, and concentrations of the activating agent, KOH, the outcomes offer relevant insights that could be leveraged to maximize biochar production for tailored applications. This study stands out for its innovative use of Artificial Neural Network (ANN) approaches for predictive modeling.

Insights into bacterial community metatranscriptome and metabolome in river water influenced by palm oil mill effluent final discharge.

Aims: This study aimed to investigate the effect of palm oil mill effluent (POME) final discharge on the active bacterial composition, gene expression, and metabolite profiles in the receiving rivers to establish a foundation for identifying potential biomarkers for monitoring POME pollution in rivers.

Methods And Results: The POME final discharge, upstream (unpolluted by POME), and downstream (effluent receiving point) parts of the rivers from two sites were physicochemically characterized. The taxonomic and gene profiles were then evaluated using de novo metatranscriptomics, while the metabolites were detected using qualitative metabolomics.

Advancement of Metatranscriptomics towards Productive Agriculture and Sustainable Environment: A Review.

While chemical fertilisers and pesticides indeed enhance agricultural productivity, their excessive usage has been detrimental to environmental health. In addressing this matter, the use of environmental microbiomes has been greatly favoured as a 'greener' alternative to these inorganic chemicals' application. Challenged by a significant proportion of unidentified microbiomes with unknown ecological functions, advanced high throughput metatranscriptomics is prudent to overcome the technological limitations in unfolding the previously undiscovered functional profiles of the beneficial microbiomes.

Effect of oil palm biomass cellulosic content on nanopore structure and adsorption capacity of biochar.

The influence of biomass cellulosic content on biochar nanopore structure and adsorption capacity in aqueous phase was scarcely reported. Commercial cellulose (100% cellulose), oil palm frond (39.5% cellulose), and palm kernel shell (20.

The use of e-cigarettes among university students in Malaysia.

Introduction: E-cigarette use is an emerging phenomenon with increasing recognition and acceptance globally. This study aims to create a profile of e-cigarette users among university students in Malaysia.

Methods: The study was conducted using a cross-sectional research involving six universities in Malaysia.

Identification and characterization of Burkholderia multivorans CCA53.

Objective: A lignin-degrading bacterium, Burkholderia sp. CCA53, was previously isolated from leaf soil. The purpose of this study was to determine phenotypic and biochemical features of Burkholderia sp.

Draft Genome Sequence of Burkholderia sp. Strain CCA53, Isolated from Leaf Soil.

Burkholderia sp. strain CCA53 was isolated from leaf soil collected in Higashi-Hiroshima City in Hiroshima Prefecture, Japan. Here, we present a draft genome sequence of this strain, which consists of a total of 4 contigs containing 6,647,893 bp, with a G+C content of 67.

A review of norms and normative multiagent systems.

Norms and normative multiagent systems have become the subjects of interest for many researchers. Such interest is caused by the need for agents to exploit the norms in enhancing their performance in a community. The term norm is used to characterize the behaviours of community members.

Influence of pretreated activated sludge for electricity generation in microbial fuel cell application.

Influence of different pretreated sludge for electricity generation in microbial fuel cells (MFCs) was investigated in this study. Pre-treatment has shown significant improvement in MFC electricity productivity especially from microwave treated sludge. Higher COD reduction in the MFC has been revealed from microwave treated sludge with 55% for total and 85% for soluble COD, respectively.