Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment

[1] Alvarez-Berrios MP(2018)Effect of the surface charge of silica nanoparticles on oil recovery: wettability alteration of sandstone cores and imbibition experiments Int Nano Lett 8 181-188

[2] Aponte-Reyes LM(2018)Bioaccumulation and translocation of heavy metals in mangrove rhizosphere sediments to tissues of Avicenia marina – a field study from tropical mangrove forest Environ Nanotechnol Monit Manag 10 272-279

[3] Aponte-Cruz LM(2017)The journey of arsenic from soil to grain in rice Front Plant Sci 8 1007-32

[4] Loman-Cortes P(2001)Random forests Machine Learning 45 5-370

[5] Vivero-Escoto JL(2011)Chronic arsenic toxicity: studies in West Bengal, India Kaohsiung J Med Sci 27 360-155

[6] Arumugam G(2016)Arsenic accumulation in rice: consequences of rice genotypes and management practices to reduce human health risk Environ Int 96 139-4278

[7] Rajendran R(2023)Arsenic cleanup goals in soil-water-rice-human continuum: interplay of amendments J Soil Sci Plant Nutr 23 4267-371

[8] Ganesan A(2022)Impact of soil amendment regimes on arsenic exposure to human through rice: risk assessment and prediction for remediation Expos Health 15 355-448

[9] Sethu R(2021)Risk assessment of arsenic toxicity through groundwater-soil-rice system in Maldah district, Bengal Delta Basin, India Arch Environ Contam Toxicol 81 438-591

[10] Awasthi S(2021)The mechanistic pathways of arsenic transport in rice cultivars: soil to mouth Environ Res 204 111942-1713

[1] Alvarez-Berrios MP(2018)Effect of the surface charge of silica nanoparticles on oil recovery: wettability alteration of sandstone cores and imbibition experiments Int Nano Lett 8 181-188

[2] Aponte-Reyes LM(2018)Bioaccumulation and translocation of heavy metals in mangrove rhizosphere sediments to tissues of Avicenia marina – a field study from tropical mangrove forest Environ Nanotechnol Monit Manag 10 272-279

[3] Aponte-Cruz LM(2017)The journey of arsenic from soil to grain in rice Front Plant Sci 8 1007-32

[4] Loman-Cortes P(2001)Random forests Machine Learning 45 5-370

[5] Vivero-Escoto JL(2011)Chronic arsenic toxicity: studies in West Bengal, India Kaohsiung J Med Sci 27 360-155

[6] Arumugam G(2016)Arsenic accumulation in rice: consequences of rice genotypes and management practices to reduce human health risk Environ Int 96 139-4278

[7] Rajendran R(2023)Arsenic cleanup goals in soil-water-rice-human continuum: interplay of amendments J Soil Sci Plant Nutr 23 4267-371

[8] Ganesan A(2022)Impact of soil amendment regimes on arsenic exposure to human through rice: risk assessment and prediction for remediation Expos Health 15 355-448

[9] Sethu R(2021)Risk assessment of arsenic toxicity through groundwater-soil-rice system in Maldah district, Bengal Delta Basin, India Arch Environ Contam Toxicol 81 438-591

[10] Awasthi S(2021)The mechanistic pathways of arsenic transport in rice cultivars: soil to mouth Environ Res 204 111942-1713