Cited by 83

The DOI matches its Crossref record.

The Carcinogenic and Non-Carcinogenic Health Risks of Metal(oid)s Bioaccumulation in Leafy Vegetables: A Consumption Advisory

Alsafran, Mohammed, Usman, Kamal, Rizwan, Muhammad, Ahmed, Talaat, Al Jabri, Hareb·2021·Frontiers in Environmental Science

Abstract

High levels of metal(oid)s in soil or food pose a severe health risk to humans. The potential toxicants find their way into the living systems via the food chain, following bioaccumulation in edible plants, including leafy vegetables grown in or irrigated with contaminated soil or water, respectively. The current study determines the levels of vanadium (V), chromium (Cr), nickel (Ni), copper (Cu), arsenic (As), lead (Pb), and cadmium (Cd) in leafy vegetables (rocca, coriander, and parsley) grown in different open irrigated farms in Qatar and investigates their potential human health risks (carcinogenic and noncarcinogenic). The mean concentrations of V, Cr, Ni, Cu, As, Cd, and Pb in rocca are 17.09, 6.41, 1.70, 13.04, 14.72, 0.90, and 6.36 mg/kg, respectively; in coriander are 15.91, 6.03, 1.38, 15.30, 16.86, 0.43, and 5.00 mg/kg, respectively; and in parsley are 16.25, 6.26, 2.19, 17.97, 16.60, 0.51, and 5.46 mg/kg, respectively. The mean levels of V, Cr, As, Cd, and Pb were observed to be higher than the recommended World Health Organization (WHO)/Food and Agriculture Organization (FAO) values. The target hazard quotient (THQ) values of Cu and As were found to be greater than 1 for the adult population. For the two elements (i.e., Cu and As), the THQ varied from 1.03 to 1.42 and 1.17 to 1.44 in men. In women, the values ranged from 1.20 to 1.65 and 1.35 to 1.55, for Cu and As, respectively. The hazard index (HI) of rocca, coriander, and parsley was 3.99, 4.10, and 4.43, respectively, in men, 4.64, 4.76, and 5.14, respectively, among women. The carcinogenic risk (CR) of Cr, Ni, and As ranged from 7.16 × 10−4 to 7.61 × 10−4, 5.57 × 10−4 to 8.85 × 10−4, and 5.24 × 10−3 to 6.01 × 10−3, respectively, in men. In women, it ranged from 8.31 × 10−4 to 8.83 × 10−4, 6.47 × 10−4 to 1.03 × 10−3, and 6.09 × 10−3 to 6.97 × 10−3, respectively, in all vegetables. In crux, the consumption of rocca, coriander, and parsley grown in selected farms in Qatar poses a major health risk (both noncarcinogenic and carcinogenic) to the consumer. As a result, we recommend that vegetables grown in the studied areas be closely monitored to protect consumer health.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fenvs.2021.742269

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • HI < 1 has no evident health consequence; HI > 1.0 suggests a health risk; HI > 10 causes significant chronic health problems.

    “Here, HI < 1 has no evident health consequence.HI > 1.0 suggests a health risk.HI > 10 causes significant chronic health problems.”

    From Assessment of heavy metals accumulation by vegetables irrigated with different stages of textile wastewater for evaluation of food and health risk (2024) · cites this paper as Alsafran et al., 2021

    Section 2.5.2 (Hazard Index) says HI < 1 has no apparent health impact and HI > 1 indicates the possibility of an adverse effect. It says HI > 10 has been linked to severe chronic health impacts, but does not say that it causes them; the claim overstates that relationship. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 58

  1. Adimalla, 2020, Heavy metals contamination in urban surface soils of Medak province, India, and its risk assessment and spatial distribution, Environ. Geochem. Health, 42, 59, 10.1007/s10653-019-00270-1 · DOI
  2. Al-Sulaiti, 2017, An assessment of the natural radioactivity distribution and radiation hazard in soil samples from Qatar using high-resolution gamma-ray spectrometry, Radiat. Phys. Chem., 140, 132, 10.1016/j.radphyschem.2017.05.001 · DOI
  3. Al-Thani, 2020, Phytoremediation of polluted soils and waters by native Qatari plants: future perspectives, Environ. Pollut., 259, 113694, 10.1016/j.envpol.2019.113694 · DOI · Paper page
  4. Alam, 2003, Arsenic and heavy metal contamination of vegetables grown in Samta village, Bangladesh, Sci. total Environ., 308, 83, 10.1016/s0048-9697(02)00651-4 · DOI
  5. Alsafran, 2021, Ecological and Health Risks Assessment of Potentially Toxic Metals and Metalloids Contaminants: A Case Study of Agricultural Soils in Qatar, Toxics, 9, 35, 10.3390/toxics9020035 · DOI
  6. Arora, 2008, Heavy metal accumulation in vegetables irrigated with water from different sources, Food Chem., 111, 811, 10.1016/j.foodchem.2008.04.049 · DOI · Paper page
  7. Baghaie, 2019, The potential risk of heavy metals on human health due to the daily consumption of vegetables, Environ. Health Eng. Manag., 6, 11, 10.15171/ehem.2019.02 · DOI
  8. Bian, 2016, Health risk assessment of heavy metals in soil-plant system amended with biogas slurry in Taihu basin, China, Environ. Sci. Pollut. Res., 23, 16955, 10.1007/s11356-016-6712-3 · DOI
  9. Bigdeli, 2008, Investigation of metals accumulation in some vegetables irrigated with waste water in Shahre Rey-Iran and toxicological implications, Am. Eurasian J. Agric. Environ. Sci., 4, 86
  10. Chang, 2014, Accumulation of heavy metals in leaf vegetables from agricultural soils and associated potential health risks in the Pearl River Delta, South China, Environ. Monit. Assess., 186, 1547, 10.1007/s10661-013-3472-0 · DOI
  11. Cheng, 2010, Lead (Pb) Isotopic Fingerprinting and its Applications in Lead Pollution Studies in China: A Review, Environ. Pollut., 158, 1134, 10.1016/j.envpol.2009.12.028 · DOI
  12. Cheng, 2015, Potential human health risks from toxic metals via mangrove snail consumption and their ecological risk assessments in the habitat sediment from Peninsular Malaysia, Chemosphere, 135, 156, 10.1016/j.chemosphere.2015.04.013 · DOI
  13. Delbari, 2014, Accumulation of heavy metals in vegetables grown along national high ways-a case study of Tehran-Iran, Inter. J. Eng. Sci. Inv, 3, 77
  14. 2011, Food Standards programme Codex committee on contaminants in foods Food, 1
  15. Fourniadis, 2010, Geotechnical characterization of the simsima limestone (Doha, Qatar), 273, 10.1061/41105(378)38 · DOI
  16. Gebeyehu, 2020, Levels of heavy metals in soil and vegetables and associated health risks in Mojo area, Ethiopia, PloS one, 15, e0227883, 10.1371/journal.pone.0227883 · DOI
  17. Gupta, 2021, Evaluating heavy metals contamination in soil and vegetables in the region of North India: Levels, transfer and potential human health risk analysis, Environ. Toxicol. Pharmacol., 82, 103563, 10.1016/j.etap.2020.103563 · DOI
  18. Gupta, 2019, Trace elements in soil-vegetables interface: Translocation, bioaccumulation, toxicity and amelioration - A review, Sci. Total Environ., 651, 2927, 10.1016/j.scitotenv.2018.10.047 · DOI
  19. Haji, 2016, Water Quality Assessment and Apportionment of Pollution Sources Using APCS-MLR and PMF Receptor Modeling Techniques in Three Major Rivers of South Florida, Sci. Total Environ., 1552, 10.1016/j.scitotenv.2016.06.046 · DOI
  20. Hu, 2013, Application of Stochastic Models in Identification and Apportionment of Heavy Metal Pollution Sources in the Surface Soils of a Large-Scale Region, Environ. Sci. Technol., 47, 3752, 10.1021/es304310k · DOI
  21. Huang, 2015, An Integrated Approach to Assess Heavy Metal Source Apportionment in Peri-Urban Agricultural Soils, J. Hazard. Mater., 299, 540, 10.1016/j.jhazmat.2015.07.041 · DOI
  22. Hussain, 2020, Health risks of heavy metal exposure and microbial contamination through consumption of vegetables irrigated with treated wastewater at Dubai, UAE, Environ. Sci. Pollut. Res., 27, 11213, 10.1007/s11356-019-07522-8 · DOI
  23. Ihedioha, 2017, Ecological and human health risk assessment of heavy metal contamination in soil of a municipal solid waste dump in Uyo, Nigeria, Environ. Geochem. Health, 39, 497, 10.1007/s10653-016-9830-4 · DOI
  24. Ismail, 2014, Heavy metals in vegetables and respective soils irrigated by canal, municipal waste and tube well waters, Food Additives & Contaminants: B, 7, 213, 10.1080/19393210.2014.888783 · DOI
  25. Ji, 2018, Heavy metal accumulation, risk assessment and integrated biomarker responses of local vegetables: A case study along the Le'an river, Chemosphere, 199, 361, 10.1016/j.chemosphere.2018.02.045 · DOI
  26. Kaiser, 1974, Little jiffy, mark IV, Educ. Psychol. Meas., 34, 111, 10.1177/001316447403400115 · DOI · Paper page
  27. Kananke, 2014, Heavy metal contamination in green leafy vegetables collected from selected market sites of Piliyandala area, Colombo District, Sri Lanka, Ajfst, 2, 139, 10.12691/ajfst-2-5-1 · DOI
  28. Khan, 2013, Human health risk from heavy metal via food crops consumption with wastewater irrigation practices in Pakistan, Chemosphere, 93, 2230, 10.1016/j.chemosphere.2013.07.067 · DOI
  29. Khan, 2018, Assessment of trace metal and metalloid accumulation and human health risk from vegetables consumption through spinach and coriander specimens irrigated with wastewater, Bull. Environ. Contam. Toxicol., 101, 787, 10.1007/s00128-018-2448-8 · DOI
  30. Khezerlou, 2020, Assessment of heavy metal contamination and the probabilistic risk via salad vegetable consumption in Tabriz, Iran, Biol. Trace Elem. Res., 1, 10.1007/s12011-020-02365-8 · DOI
  31. Kolluru, 2019, Profiling of differentially expressed genes in cadmium-induced prostate carcinogenesis, Toxicol. Appl. Pharmacol., 375, 57, 10.1016/j.taap.2019.05.008 · DOI
  32. Lu, 2012, Multivariate and Geostatistical Analyses of the Spatial Distribution and Origin of Heavy Metals in the Agricultural Soils in Shunyi, Beijing, China, Sci. total Environ., 425, 66, 10.1016/j.scitotenv.2012.03.003 · DOI
  33. Luo, 2011, Heavy metal contamination in soils and vegetables near an e-waste processing site, south China, J. Hazard. Mater., 186, 481, 10.1016/j.jhazmat.2010.11.024 · DOI
  34. Mapanda, 2005, The Effect of Long-Term Irrigation Using Wastewater on Heavy Metal Contents of Soils Under Vegetables in Harare, Zimbabwe, Agric. Ecosyst. Environ., 107, 151, 10.1016/j.agee.2004.11.005 · DOI
  35. Peng, 2016, Digital mapping of toxic metals in Qatari soils using remote sensing and ancillary data, Remote Sensing, 8, 1003, 10.3390/rs8121003 · DOI
  36. Qu, 2013, Source Apportionment of Heavy Metals in Soils Using Multivariate Statistics and Geostatistics, Pedosphere, 23, 437, 10.1016/S1002-0160(13)60036-3 · DOI
  37. Quispe, 2021, Health risk assessment of heavy metals (Hg, Pb, Cd, Cr and as) via consumption of vegetables cultured in agricultural sites in Arequipa, Peru, Chem. Data Collections, 33, 100723, 10.1016/j.cdc.2021.100723 · DOI
  38. Rahmdel, 2018, Heavy metals (Pb, Cd, Cu, Zn, Ni, Co) in leafy vegetables collected from production sites: their potential health risk to the general population in Shiraz, Iran, Environ. Monit. Assess., 190, 650, 10.1007/s10661-018-7042-3 · DOI
  39. Satarug, 2003, A global perspective on cadmium pollution and toxicity in non-occupationally exposed population, Toxicol. Lett., 137, 65, 10.1016/s0378-4274(02)00381-8 · DOI
  40. Shaheen, 2016, Presence of heavy metals in fruits and vegetables: Health risk implications in Bangladesh, Chemosphere, 152, 431, 10.1016/j.chemosphere.2016.02.060 · DOI
  41. Singh, 2010, Risk assessment of heavy metal toxicity through contaminated vegetables from waste water irrigated area of Varanasi, India, Trop. Ecol., 51, 375
  42. Souri, 2018, Elemental Profile of Heavy Metals in Garden cress, Coriander, Lettuce and Spinach, Commonly Cultivated in Kahrizak, South of Tehran- Iran, Open Agric., 3, 32, 10.1515/opag-2018-0004 · DOI
  43. Sun, 2013, Aerosol Composition, Sources and Processes during Wintertime in Beijing, China, Atmos. Chem. Phys., 13, 4577, 10.5194/acp-13-4577-2013 · DOI
  44. Tepanosyan, 2017, Heavy Metals Pollution Levels and Children Health Risk Assessment of Yerevan Kindergartens Soils, Ecotoxicology Environ. Saf., 142, 257, 10.1016/j.ecoenv.2017.04.013 · DOI
  45. Türkdoğan, 2003, Heavy metals in soil, vegetables and fruits in the endemic upper gastrointestinal cancer region of Turkey, Environ. Toxicol. Pharmacol., 13, 175, 10.1016/S1382-6689(02)00156-4 · DOI
  46. Usman, 2020, Lead (Pb) bioaccumulation and antioxidative responses in, Tetraena qataranse. Sci. Rep., 10, 17070, 10.1038/s41598-020-73621-z · DOI
  47. Usman, Comparative Assessment of Toxic Metals Bioaccumulation and the Mechanisms of Chromium (Cr) Tolerance and Uptake in Calotropis Procera, Front. Plant Sci., 11, 883, 10.3389/fpls.2020.00883 · DOI
  48. Usman, 2019, The assessment of cadmium, chromium, copper, and nickel tolerance and bioaccumulation by shrub plant Tetraena qataranse, Sci. Rep., 9, 5658, 10.1038/s41598-019-42029-9 · DOI
  49. Verma, 2020, Distribution, pollution levels, toxicity, and health risk assessment of metals in surface dust from Bhiwadi industrial area in North India, Hum. Ecol. Risk Assess. Int. J., 26, 2091, 10.1080/10807039.2019.1650328 · DOI
  50. Wang, 2015, Using Ensemble Models to Identify and Apportion Heavy Metal Pollution Sources in Agricultural Soils on A Local Scale, Environ. Pollut., 206, 227, 10.1016/j.envpol.2015.06.040 · DOI
  51. 1985, WHO Offset Publication No. 87, 1
  52. Who, 2002, The world Health report 2002: reducing risks, promoting Healthy life
  53. Xiong, 2013, Lotus roots accumulate heavy metals independently from soil in main production regions of China, Scientia Horticulturae, 164, 295, 10.1016/j.scienta.2013.09.013 · DOI
  54. Ying, 2016, Assessment of Heavy Metal Pollution and Human Health Risk in Urban Soils of A Coal Mining City in East China, Hum. Ecol. Risk Assess. Int. J., 22, 1359, 10.1080/10807039.2016.1174924 · DOI
  55. Yuan, 2020, Bioaccumulation and health risk assessment of heavy metals to bivalve species in Daya Bay (South China Sea): Consumption advisory, Mar. Pollut. Bull., 150, 110717, 10.1016/j.marpolbul.2019.110717 · DOI
  56. Zhang, 2008, Assessing Soil Cu Content and Anthropogenic Influences Using Decision Tree Analysis, Environ. Pollut., 156, 1260, 10.1016/j.envpol.2008.03.009 · DOI
  57. Zhang, 2018, Source identification and spatial distribution of arsenic and heavy metals in agricultural soil around Hunan industrial estate by positive matrix factorization model, principle components analysis and geo statistical analysis, Ecotoxicology Environ. Saf., 159, 354, 10.1016/j.ecoenv.2018.04.072 · DOI
  58. Zhuang, 2009, Health risk from heavy metals via consumption of food crops in the vicinity of Dabaoshan mine, South China, Sci. total Environ., 407, 1551, 10.1016/j.scitotenv.2008.10.061 · DOI

Cited by

Sorted by citations

Metadata

Authors
Alsafran, M., Usman, K., Rizwan, M., Ahmed, T., & Al Jabri, H.
Venue
Frontiers in Environmental Science
Published
2021-09-27
Volume
9
ISSN
2296-665X
Cited by
83
References
0

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review