Browsing by Author "Kormoker, Tapos"

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Bioavailability and Toxicity of Heavy Metals and Microplastics in Shellfish (Meretrix Lyrata) a Preliminary Study in the Bay of Bengal
(Elsevier, 2024-08-15) Hossain, Md. Yeamin; Uddin, Minhaz; Kormoker, Tapos; Rahman, Md. Ashekur; Haque, Md. Kamrul; Rahman, Md. Naimur; Tasmin, Rumana; Samad, Md. Abdus; Siddique, Md. Abu Bakar; Rahman, M. Safiur
Microplastics (MPs) and heavy metals (HMs) pollution pose significant environmental threats by accumulating in marine species, leading to potential health risks for marine life and humans consuming contaminated seafood. However, limited research has been conducted on the bioavailability and toxicity of MPs and HMs in the marine biota of the Bay of Bengal, Bangladesh. In this study, the bioavailability of some HMs (i.e., Ni, Pb, Cd, and Cr) and MPs in a common marine shellfish (Meretrix lyrata) of the Bay of Bengal having nutritional and economic importance, and their human health risks due to the consumption of M. lyrata mussels has been evaluated. The mean concentrations of Ni, Pb, Cd, and Cr in the samples were determined spectrophotometrically and found as 5.54, 45.65, 0.51, and 33.51 mg/kg, respectively, which are higher than the maximum permissible limit set by different national and international entities. This study revealed that the hazard index values for all samples were greater than unity, which indicated that the cumulative effect of all selected heavy metals may pose substantial health hazards. The target cancer risk for Pb and Ni was also significant (i.e., TR > 1.0E-04). On the other hand, MPs (mainly polyvinyl chloride and polyethylene) of different colors (7-8) and shapes (6.53-330 μm) were detected in 50% of the total studied samples, which is alarming and will result in a potential health risk due to the consumption of the mussels. Therefore, the consumer should be careful to eat this selected mussel (M. lyrata) in their regular meal and the concerned authority should take proper steps to protect this natural species from heavy metal and MPs contamination.
Future Changes of Summer Monsoon Rainfall and Temperature Over Bangladesh Using 27 CMIP6 Models
(Informa UK Limited, 2023-11-27) Bhattacharjee, Arnob; Hassan, S. M. Quamrul; Hazra, Papri; Kormoker, Tapos; Islam, Shahana; Alam, Edris; Islam, Md Kamrul; Islam, Abu Reza Md. Towfiqul
This research aims to investigate the future changes in summer monsoon rainfall and temperature in Bangladesh. The study revealed that INM-CM5-0 is the best model for projecting temperature, while BCC-CSM2-MR is the best model for projecting rainfall over Bangladesh. Using data from a large ensemble of 27 models from CMIP6, the study examined the rainfall and temperature change projections of Bangladesh during the twenty first century relative to the reference period (1981–2014) under SSP2–4.5 and SSP5–8.5. Under SSP2-4.5 and SSP5-8.5, the multi-model ensemble monsoon mean rainfall over Bangladesh will fluctuate between 40 and 260 mm and 100 and 900 mm, respectively. In most parts of the country’s north, northeastern, and western regions, the projected changes in spatial patterns of monsoon rainfall indicate an increase in rainfall. The projected temperature indicated that Bangladesh’s northwest and west-central areas could face the most significant rise in temperatures, surpassing 3.8 °C under SSP5-8.5.
Heavy Metals in Popularly Sold Branded Cigarettes in Bangladesh and Associated Health Hazards from Inhalation Exposure
(Springer Nature, 2023-08-29) Hasan, Mehedi; Hossain, Md Moazzem; Abrarin, Shaifa; Kormoker, Tapos; Billah, Md Masum; Bhuiyan, Md Khurshid Alam; Akbor, Md Ahedul; Salam, Sayed M A; Khan, Rahat; Naher, Kamrun; Salam, Mohammed Abdus; Ali, Mir Mohammad; Rahman, Md Mostafizur; Emran, Talha Bin; Mahmoud, Z.; Khandaker, Mayeen Uddin; Siddique, Md Abu Bakar
Tobacco products are widely recognized as a major contributor to death. Cigarette smoke contains several toxic chemicals including heavy metals particulate causing high health risks. However, limited information has been available on the health risks associated with the heavy metals in cigarettes commonly sold in the Bangladeshi market. This study evaluated the concentrations and potential health risks posed by ten concerned heavy metals in ten widely consumed cigarette brands in Bangladesh using an atomic absorption spectrometer. The concentration (mg/kg) ranges of heavy metals Pb, Cd, Cr, As, Co, Ni, Mn, Fe, Cu, and Zn vary between 0.46–1.05, 0.55–1.03, 0.80–1.2, 0.22–0.40, 0.46–0.78, 2.59–3.03, 436.8–762.7, 115.8–184.4, 146.6–217.7, and 34.0–42.7, respectively. We assume that the heavy metals content among cigarette brands is varied due to the differences in the source of tobacco they use for cigarette preparation. The carcinogenic risks posed by heavy metals follow the order of Cr > Co > Cd > As > Ni > Pb, while the non-carcinogenic risks for Cu, Zn, Fe, and Mn were greater than unity (HQ > 1), except for Fe. The existence of toxic heavy metals in cigarette tobacco may thus introduce noticeable non-carcinogenic and carcinogenic health impacts accompanying inhalation exposure. This study provides the first comprehensive report so far on heavy metal concentration and associated health risks in branded cigarettes commonly sold in Bangladesh. Hence, this data and the information provided can serve as a baseline as well as a reference for future research and have potential implications for policy and legislation in Bangladesh.
Layer-Wise Physicochemical and Elemental Distribution in an Urban River Water, Bangladesh: Potential Pollution, Sources, and Human Health Risk Assessment
(The Royal Society of Chemistry, 2023-08-03) Kormoker, Tapos; Islam, Md. Saiful; Siddique, Md. Abu Bakar; Kumar, Sazal; Phoungthong, Khamphe; Kabir, Md Humayun; Iqubal, Kazi Farhed; Kumar, Rakesh; Alij, Mir Mohammad; Islam, Abu Reza Md. Towfiqul
Buriganga is an economically important river located around the industrialized urban area of Dhaka City, Bangladesh. In this study, 17 water quality parameters (electrical conductivity, pH, total suspended solids, temperature, F−, Cl−, SO42−, Cr, Ni, As, Cd, Hg, Cu, Pb, Fe, Mn, and Zn) of surface and deep waters of the Buriganga River were measured to assess the water quality, pollution level, elemental sources, and their potential ecological and human health risks. Comparing the concentrations of the analyzed parameters with the permissible standards, it was indicated that the water in Buriganga is unsafe for residential and recreational uses. Principal component and correlation analysis revealed that point and diffuse sources, such as the combustion of lubricant oils, fuel additives, exhaust fumes from vehicles, domestic wastewater, and inorganic fertilizers from agricultural fields, control the water quality. Regardless of depth, a higher degree of contamination and ecological risk was observed during the dry season, indicating a higher content of heavy metals in river water, which might impact the ecological balance in the future. Through ingestion, the hazard quotient (HQ) of As, Cd, Pb, and Hg and the hazard index (HI) values were higher than the risk threshold (HQ > 1). Total HI values for children in both residential and recreational water were higher than those for adults (1.04 × 101 and 1.73 × 100 for surface and deep water, respectively), indicating that children are more sensitive to elemental contamination. Total carcinogenic risks of Cr and As due to exposure to water were higher than the standard limit (>1.0 × 10−4), which indicated possible cancer risks to the inhabitants around the river. Therefore, regular monitoring of river water quality and sustainable management could be implemented to recover the polluted river water and keep it pollution-free in the future. © 2023 RSC.
The past to the current advances in the synthesis and applications of silica nanoparticles
(Scopus, 2024-12) Ragib, Abdullah Al; Chakma, Rupesh; Wang, Junzheng; Alanazi, Yousef Mohammed; Harbawi, Mohanad El-; Arish, Gulshan Akter; Islam, Tariqul; Siddique, Md. Abu Bakar; Islam, Abu Reza Md. Towfiqul; Kormoker, Tapos
To deal with different important and updated applications like biomedical, pharmaceutical, industrial, agricultural, environmental, food, cosmetics, and even water purification, the synthetic approaches of solid silica nanoparticles (SSiNPs) and its porous variant mesoporous silica nanoparticles (MSiNPs) become a matter of attention. The outstanding non-toxic nature and exceptional properties like bio-mobilizability, easy surface modifiability, stability, micro or meso pore structure, volume, and high surface area make them versatile contributors and potential candidates in human civilization. This review article comprises a brief summarization of the synthesis of SiNPs chemically as well as through a green approach along with its noteworthy characteristics in which it is clearly shown how the functional molecules change the particle size and shape for multiple purposes. This article mainly focuses greatly effective all conventional chemical and green approaches of both silica nanoparticles (SiNPs) and MSiNPs (a total of 21 synthesis techniques). Also, the newly modified methods are cited in this review paper along with challenges and prospects. One of the most important discussions regarding sustainable, reliable, and eco-friendly (green) synthesis techniques and their available sources, advantages, and principles are mentioned in this paper. Finally, several relevant recent applications by many researchers are also noted with possible research in the industrial, chemical, agricultural, and biomedical life-related sectors. This review will help the researchers to gain the necessary information in perfect order which can be applied in the near future to invent and modify new methods on a bigger scale.
Using unsupervised machine learning models to drive groundwater chemistry and associated health risks in Indo-Bangla Sundarban region
(Scopus, 2024) Jannat, Jannatun Nahar; Islam, Abu Reza Md Towfiqul; Mia, Md Yousuf; Pal, Subodh Chandra; Biswas, Tanmoy; Jion, Most Mastura Munia Farjana; Islam, Md Saiful; Siddique, Md Abu Bakar; Idris, Abubakr M.; Khan, Rahat; Islam, Aznarul; Kormoker, Tapos; Senapathi, Venkatramanan
Groundwater is an essential resource in the Sundarban regions of India and Bangladesh, but its quality is deteriorating due to anthropogenic impacts. However, the integrated factors affecting groundwater chemistry, source distribution, and health risk are poorly understood along the Indo-Bangla coastal border. The goal of this study is to assess groundwater chemistry, associated driving factors, source contributions, and potential non-carcinogenic health risks (PN-CHR) using unsupervised machine learning models such as a self-organizing map (SOM), positive matrix factorization (PMF), ion ratios, and Monte Carlo simulation. For the Sundarban part of Bangladesh, the SOM clustering approach yielded six clusters, while it yielded five for the Indian Sundarbans. The SOM results showed high correlations among Ca2+, Mg2+, and K+, indicating a common origin. In the Bangladesh Sundarbans, mixed water predominated in all clusters except for cluster 3, whereas in the Indian Sundarbans, Cl−-Na+ and mixed water dominated in clusters 1 and 2, and both water types dominated the remaining clusters. Coupling of SOM, PMF, and ionic ratios identified rock weathering as a driving factor for groundwater chemistry. Clusters 1 and 3 were found to be influenced by mineral dissolution and geogenic inputs (overall contribution of 47.7%), while agricultural and industrial effluents dominated clusters 4 and 5 (contribution of 52.7%) in the Bangladesh Sundarbans. Industrial effluents and agricultural activities were associated with clusters 3, 4, and 5 (contributions of 29.5% and 25.4%, respectively) and geogenic sources (contributions of 23 and 22.1% in clusters 1 and 2) in Indian Sundarbans. The probabilistic health risk assessment showed that NO3− poses a higher PN-CHR risk to human health than F− and As, and that potential risk to children is more evident in the Bangladesh Sundarban area than in the Indian Sundarbans. Local authorities must take urgent action to control NO3− emissions in the Indo-Bangla Sundarbans region.
Using Unsupervised Machine Learning Models To Drive Groundwater Chemistry and Associated Health Risks in Indo-Bangla Sundarban Region
(Elsevier, 2024-03-20) Jannat, Jannatun Nahar; Islam, Abu Reza Md Towfiqul; Mia, Md Yousuf; Pal, Subodh Chandra; Biswas, Tanmoy; Jion, Most Mastura Munia Farjana; Islam, Md Saiful; Siddique, Md Abu Bakar; Idris, Abubakr M.; Khan, Rahat; Islam, Aznarul; Kormoker, Tapos; Senapathi, Venkatramanan
Groundwater is an essential resource in the Sundarban regions of India and Bangladesh, but its quality is deteriorating due to anthropogenic impacts. However, the integrated factors affecting groundwater chemistry, source distribution, and health risk are poorly understood along the Indo-Bangla coastal border. The goal of this study is to assess groundwater chemistry, associated driving factors, source contributions, and potential non-carcinogenic health risks (PN-CHR) using unsupervised machine learning models such as a self-organizing map (SOM), positive matrix factorization (PMF), ion ratios, and Monte Carlo simulation. For the Sundarban part of Bangladesh, the SOM clustering approach yielded six clusters, while it yielded five for the Indian Sundarbans. The SOM results showed high correlations among Ca2+, Mg2+, and K+, indicating a common origin. In the Bangladesh Sundarbans, mixed water predominated in all clusters except for cluster 3, whereas in the Indian Sundarbans, Cl−-Na+ and mixed water dominated in clusters 1 and 2, and both water types dominated the remaining clusters. Coupling of SOM, PMF, and ionic ratios identified rock weathering as a driving factor for groundwater chemistry. Clusters 1 and 3 were found to be influenced by mineral dissolution and geogenic inputs (overall contribution of 47.7%), while agricultural and industrial effluents dominated clusters 4 and 5 (contribution of 52.7%) in the Bangladesh Sundarbans. Industrial effluents and agricultural activities were associated with clusters 3, 4, and 5 (contributions of 29.5% and 25.4%, respectively) and geogenic sources (contributions of 23 and 22.1% in clusters 1 and 2) in Indian Sundarbans. The probabilistic health risk assessment showed that NO3− poses a higher PN-CHR risk to human health than F− and As, and that potential risk to children is more evident in the Bangladesh Sundarban area than in the Indian Sundarbans. Local authorities must take urgent action to control NO3− emissions in the Indo-Bangla Sundarbans region.