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Dr Jajati Mandal's Outputs (56)

Utilizing nano zero-valent iron impregnated biochar for removal of hexavalent chromium from water: An assessment through Box-Behnken optimization, kinetics, and isotherm studies (2025)
Journal Article

The current study focuses on synthesizing an ecofriendly biochar-supported nano zero-valent iron (nZVI) and evaluating its efficacy in removing hexavalent chromium [Cr(VI)] from aquatic systems under different experimental conditions. The study ident... Read More about Utilizing nano zero-valent iron impregnated biochar for removal of hexavalent chromium from water: An assessment through Box-Behnken optimization, kinetics, and isotherm studies.

A Multifaceted Approach Assessing Heavy Metal Contamination and Health Risk in Tea Garden Soils: Insight Through Hot-Spot Analysis and Machine Learning Techniques (2025)
Journal Article

Tea is globally esteemed for its economic worth and health benefits, yet heavy metal (HMs) pollution in tea garden soil poses a severe threat to the environment. Implementing multimodal statistical approach, the current study has provided insight int... Read More about A Multifaceted Approach Assessing Heavy Metal Contamination and Health Risk in Tea Garden Soils: Insight Through Hot-Spot Analysis and Machine Learning Techniques.

A review and meta-analysis of the efficacy of arbuscular mycorrhizal fungi in remediating toxic metals in mine-affected soils (2025)
Journal Article
Banerjee, S., Mandal, J., Sarkar, D., Datta, R., & Bhattacharyya, P. (2025). A review and meta-analysis of the efficacy of arbuscular mycorrhizal fungi in remediating toxic metals in mine-affected soils. Frontiers in Environmental Science, 12, 1532169. https://doi.org/10.3389/fenvs.2024.1532169

Mines are natural reservoirs of various minerals, metals, and metalloids. Several heavy metals (HMs), such as Pb, Cd, Cr, Cu, and Ni, are major anthropogenic pollutants that cause severe environmental pollution. The accumulation of these toxic HMs in... Read More about A review and meta-analysis of the efficacy of arbuscular mycorrhizal fungi in remediating toxic metals in mine-affected soils.

Soil stressors on ecophysiology of bauxite mine impacted soil: heavy metal-acidity- organic matter nexus (2024)
Journal Article

Soil ecophysiology is adversely affected by various environmental hazards, particularly in mining regions. While there has been substantial research on the effects of coal, mica, copper (Cu), and manganese (Mn) mining, on soil quality, the impact of... Read More about Soil stressors on ecophysiology of bauxite mine impacted soil: heavy metal-acidity- organic matter nexus.

Soil stressors on ecophysiology of bauxite mine impacted soil: heavy metal-acidity- organic matter nexus (2024)
Journal Article

Soil ecophysiology is adversely affected by various environmental hazards, particularly in mining regions. While there has been substantial research on the effects of coal, mica, copper (Cu), and manganese (Mn) mining, on soil quality, the impact of... Read More about Soil stressors on ecophysiology of bauxite mine impacted soil: heavy metal-acidity- organic matter nexus.

Reversing the tide of trouble: harnessing invasive water hyacinth biochar to mitigate groundwater fluoride contamination (2024)
Journal Article
Mandal, J. (2024). Reversing the tide of trouble: harnessing invasive water hyacinth biochar to mitigate groundwater fluoride contamination. Biomass Conversion and Biorefinery, https://doi.org/10.1007/s13399-024-06310-w

Fluoride, a geogenic contaminant, has gained significant global attention due to its adverse health effect. Currently available technologies for its removal are often expensive and inaccessible to many communities. Biochar, a cost-efficient and susta... Read More about Reversing the tide of trouble: harnessing invasive water hyacinth biochar to mitigate groundwater fluoride contamination.

A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System (2024)
Presentation / Conference
Mandal, J., & Wood, M. (2024, October). A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System. Presented at 9th International Congress Arsenic in the Environment (As2024), Bhubaneswar, India

Arsenic (As) contamination in soil and water is a significant environmental issue that poses severe risks to human health. Despite extensive research, addressing this challenge remains complex due to its diverse source and behavior in different envir... Read More about A Retrieval-Augmented Generation Based Tool to address Arsenic Contamination in Agricultural System.

Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics (2024)
Journal Article
Mandal, J. (2024). Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics. Exposure and Health, https://doi.org/10.1007/s12403-024-00670-4

We assessed the effect of biochar and water regimes on arsenic (As) accumulation in popular rice cultivars. These management practises altered the bioavailability of As, Si, P, and S in the soil, which in turn modulate the expression of associated As... Read More about Impact of Biochar and Water Regimes on Arsenic Transfer and Uptake in Rice: Insights into Transporter Behaviour and Soil–Plant Dynamics.

PFAS Adsorption on Water Treatment Residues (2024)
Presentation / Conference
Mandal, J. (2024, September). PFAS Adsorption on Water Treatment Residues. Presented at International Conference on Emerging Trends in Water Treatment 2024, Mikkeli, Finland

Per- and polyfluoroalkyl substances (PFAS) represent a family of emerging persistent organic pollutants. In the face of the escalating global challenge of PFAS contamination in water, this study focuses on the removal of, three PFAS viz. perfluorooct... Read More about PFAS Adsorption on Water Treatment Residues.

Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics. (2024)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics. Environmental Geochemistry and Health, 46(10), 400. https://doi.org/10.1007/s10653-024-02177-y

The contribution of mica mining activities to fluoride (F ) contamination in groundwater has been chased in this study. For the purpose, groundwater samples (n = 40, replicated thrice) were collected during the post-monsoons (September-October) from... Read More about Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics..

Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics (2024)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics. Environmental Geochemistry and Health, 46, Article 400. https://doi.org/10.1007/s10653-024-02177-y

The contribution of mica mining activities to fluoride (F-) contamination in groundwater has been chased in this study. For the purpose, groundwater samples (n=40, replicated thrice) were collected during the post-monsoons (September-October) from a... Read More about Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics.

Assessing groundwater fluoride contamination scenario in West Bengal, India: A combined approach using meta-analysis, current research, and health risk evaluation (2024)
Journal Article

The present study was initiated by the findings of a comprehensive systematic review and meta-analysis, which synthesized all available literature on the patterns and trends of groundwater fluoride (F−) contamination in West Bengal,... Read More about Assessing groundwater fluoride contamination scenario in West Bengal, India: A combined approach using meta-analysis, current research, and health risk evaluation.

Degradation and residue dynamics of fluazinam in diverse indian soil types and water pH conditions: a comprehensive study using kinetic models (2024)
Journal Article
Mukhopadhyay, S., Mandal, J., Kanrar, B., Chatterjee, D., Bhattacharyya, A., & Majumder, S. (in press). Degradation and residue dynamics of fluazinam in diverse indian soil types and water pH conditions: a comprehensive study using kinetic models. Frontiers in Environmental Science, 12, 1394847. https://doi.org/10.3389/fenvs.2024.1394847

Fluazinam a promising fungicide, is not yet registered in India. Consequently it is important to study the dissipation of its specific formulation in Indian soil and water. This study focuses on the degradation and residue dynamics of Fluazinam (40%... Read More about Degradation and residue dynamics of fluazinam in diverse indian soil types and water pH conditions: a comprehensive study using kinetic models.

Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches (2024)
Journal Article
Kumar, S., Banerjee, S., Ghosh, S., Majumder, S., Mandal, J., Roy, P. K., & Bhattacharyya, P. (2024). Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches. Frontiers of Environmental Science and Engineering, 18(5), https://doi.org/10.1007/s11783-024-1820-7

The present study assesses the concentration, probabilistic risk, source classification, and dietary risk arising from heavy metal (HMs) pollution in agricultural soils affected by coal mining in eastern part
of India. Analyses of soil and rice plan... Read More about Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches.

The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems. (2024)
Journal Article

Nanomaterials in the food industry are used as food additives, and the main function of these food additives is to improve food qualities including texture, flavor, color, consistency, preservation, and nutrient bioavailability. This review aims to p... Read More about The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems..

Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils (2024)
Journal Article
Mandal, J., Sharma, P. K., Mondal, D., Wood, M. D., Hutchinson, S. M., Kirby, J., & Srivastava, P. (2024). Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils. Current Pollution Reports, 10(1), 105-118. https://doi.org/10.1007/s40726-023-00288-1

Purpose of Review: The purpose of this review is to evaluate the effectiveness of biochar in immobilizing arsenic (As) in contaminated paddy soils and its impact on As availability and bioaccumulation in rice, as well as rice plant biomass. Recent Fi... Read More about Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils.

From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. (2023)
Journal Article

Fluoride (F ) contamination of groundwater is a prevalent environmental issue threatening public health worldwide and in India. This study targets an investigation into spatial distribution and contamination sources of fluoride in Dhanbad, India, to... Read More about From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination..

Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics (2023)
Journal Article


The present study depicts the true failed scenario of the arsenic (As) removal units (ARU) in West Bengal by evaluating their treated water quality. Annual As removal efficiency of the 12 studied ARUs range between 35.2% and 82.6%.... Read More about Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics.

Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. (2023)
Journal Article

Arsenic (As) is a well-known human carcinogen, and the consumption of rice is the main pathway for the South Asian people. The study evaluated the impact of the amendments involving CaSiO , SiO nanoparticles, silica solubilizing bacteria (SSB), and... Read More about Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment..