Publications by authors named "M Sazzadur Rahman"

Heavy metal contamination in industrial-agricultural regions poses global challenges, yet comprehensive risk assessment models addressing both ecological and human health impacts are scarce. This study introduces a novel multi-compartmental risk assessment framework applied to the Saldha River region of Gazipur, Bangladesh, a rapidly industrialising area experiencing significant environmental stress. Here, we analysed eight heavy metals (Cr, Pb, Cu, Fe, Mn, Zn, Ni, and Cd) in soil, wastewater, and plant samples (spinach, wild rice, and nut grass) via atomic absorption spectrophotometry (AAS).

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The complex fatty acid (FA) composition of the edible portion of American oysters () presents a significant analytical challenge to complete characterization. Here, we employed solvent-mediated covalent adduct chemical ionization to enable comprehensive characterization of its FA composition, with isotope ratio mass spectrometry for initial measurements of FA C signatures. Unusual polymethylene-interrupted (PMI) polyunsaturates were unequivocally identified, with 22:2(7,15) dominating at 5.

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A Bangladesh village rice parboiling plant was used to investigate how to improve essential elements and B-vitamin content of rice, while reducing the toxicants arsenic and cadmium, and potential bacterial pathogens. A 2 -factorial experiment was conducted where husked and de-husked rice was parboiled at different pre-parboiling soaking times, pre-parboiling soaking temperatures, parboiled through either boiling or steaming, and parboiled for 2 different times. Three rice cultivars were used.

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Introduction: Globally, smoking causes several health risks, burdening public health and economic productivity. Evaluating employees' smoking cessation tendencies is crucial for companies and the nation. Therefore, this study examines the relationship between sociodemographic factors and three key determinants of smoking cessation: health literacy, decision balance, and self-efficacy among company employees.

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The present study successfully removed heavy metals from industrial effluent using nanochitosan-coated cotton fiber (NCCF) crosslinked with citric acid, demonstrating the potential of advanced technologies in removing heavy metals from large amounts of wastewater caused by the world's unchecked population growth and widespread industrialization that has caused pollution. Structural, morphological, and thermal properties of NCCF were determined. Results revealed that the nanochitosan component improves the adsorption capacity of cotton fiber (CF) through the increased surface area and porosity of NCCF.

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