Vegetable cultivation is increasing because of its health benefit. However, in areas with limited fresh water, irrigation is from industrial and domestic wastewaters. Consumption of crops with high heavy metal content poses concern to health. A comparative analysis was conducted using AAS (Atomic Absorption Spectrophotometer) to determine the concentration of heavy metals in some vegetables irrigated with industrial effluent, domestic wastewater, and water from natural dams in Kano State. The results indicated that for all the sites, Fe and Zn had mean concentrations above the WHO/FAO permissible limits for edible vegetables with ranges 115-4041 mg/kg and 0.00-621 mg/kg. There was no mean significant difference at the p < 0.05 level within all the sites for Fe but, Zn showed significant variations between industrial and natural sites. Cr and Ni had a mean significant difference within all the sites and Ni had mean value below the allowable limit, Cr only had below for natural site. The mean concentration for Mn and Cu were below the permissible limit and there was mean significant difference between natural and domestic sites for Mn but, there was none for Cu. Vegetables cultivated from natural dams were relatively safe from contamination. The results highlight the need for the remediation of heavy metal contamination in irrigation waters from domestic and industrial sources to reduce the associated health hazards in the long run.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.