Health risk assessment of heavy metal contamination in rice cultivation of Eastern India

The study describes the heavy metal content (Pb, Cd, As, Ni, Cu, and Zn) in irrigation water, soil, and rice plants in paddy fields of Sambalpur, Bargarh, and Subarnapur districts in Western Odisha, Eastern India. The heavy metals were analyzed by inductively coupled plasma optical emission spectroscopy. The soils in the experimental paddy fields had higher heavy metal contents than the soils in the nearby control field. Except for Cd, all heavy metal concentrations in soils were below the recommended limits of the national and international standards. All the heavy metal contents (except Pb and Cu) in the grain and straw were above the acceptable limit set by Indian standards. The relative heavy metal order for the soil-to-grain bioaccumulation factor was Zn > Ni > As > Pb > Cu > Cd. The bioaccumulation factor of all heavy metals (apart from Cd) was greater than 1, indicating that rice grain accumulates Zn, Ni, As, Pb, and Cu but absorbs only Cd. All heavy metals (except for Zn and Cu) had a health risk index value greater than 1, suggesting a potential threat to consumers through rice intake. Further, all of these metals (except Pb) have higher cancer risk values than the acceptable limit, indicating a possible cancer risk for consumers. Cd poses a significant risk, both non-carcinogenic and carcinogenic. Therefore, Cd exposure in the soil-rice system requires special consideration and effective regulation to ensure food safety in the study area.

Authors

Institutions

Publication Details

Journal
Discover Environment
Published
2025-10-17
DOI
https://doi.org/10.1007/s44274-025-00348-x
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Health risk assessment of heavy metal contamination in rice cultivation of Eastern India

Chandan Sahu, Brundabana Naik, Abanti Pradhan, Rosismita Bhoi
Discover Environment
Heavy metals in environment
article

Health risk assessment of heavy metal contamination in rice cultivation of Eastern India

Chandan Sahu, Brundabana Naik, Abanti Pradhan, Rosismita Bhoi
article en

Abstract

The study describes the heavy metal content (Pb, Cd, As, Ni, Cu, and Zn) in irrigation water, soil, and rice plants in paddy fields of Sambalpur, Bargarh, and Subarnapur districts in Western Odisha, Eastern India. The heavy metals were analyzed by inductively coupled plasma optical emission spectroscopy. The soils in the experimental paddy fields had higher heavy metal contents than the soils in the nearby control field. Except for Cd, all heavy metal concentrations in soils were below the recommended limits of the national and international standards. All the heavy metal contents (except Pb and Cu) in the grain and straw were above the acceptable limit set by Indian standards. The relative heavy metal order for the soil-to-grain bioaccumulation factor was Zn > Ni > As > Pb > Cu > Cd. The bioaccumulation factor of all heavy metals (apart from Cd) was greater than 1, indicating that rice grain accumulates Zn, Ni, As, Pb, and Cu but absorbs only Cd. All heavy metals (except for Zn and Cu) had a health risk index value greater than 1, suggesting a potential threat to consumers through rice intake. Further, all of these metals (except Pb) have higher cancer risk values than the acceptable limit, indicating a possible cancer risk for consumers. Cd poses a significant risk, both non-carcinogenic and carcinogenic. Therefore, Cd exposure in the soil-rice system requires special consideration and effective regulation to ensure food safety in the study area.

Discover EnvironmentVol. 3(1)
Sambalpur University (IN), Siksha O Anusandhan University (IN)
Openalex Percentile: Top 77%
Heavy metals in environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.