SYSTEMATIC REVIEW article

Front. Environ. Sci., 08 August 2024

Sec. Toxicology, Pollution and the Environment

Volume 12 - 2024 | https://doi.org/10.3389/fenvs.2024.1425286

A systematic review on heavy metals contamination in Bangladeshi vegetables and their associated health risks

  • 1. Institute of Nutrition and Food Science, University of Dhaka, Dhaka, Bangladesh

  • 2. Bangladesh Institute of Social Research (BISR) Trust, Dhaka, Bangladesh

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Abstract

This systematic review aimed to identify the heavy metal contents of Bangladeshi vegetables and evaluate the subsequent health hazards of these heavy metals. Relevant studies were obtained from systematic searches of electronic databases. Average (mean) concentrations of Arsenic (AS), Lead (Pb), Cadmium (Cd), Chromium (Cr), Manganese (Mn), Nickel (Ni), Zinc (Zn), and Copper (Cu) in the vegetables were calculated on a fresh-weight basis. The health hazards associated with these metals’ intake were assessed using estimated daily intake (EDI) and carcinogenic and noncarcinogenic risks were measured as the target cancer risk (TR), target hazard quotient (THQ), and hazard index (HI). The results showed that the mean concentration of As, Pb, Cd, Cr, Mn, Ni, Zn, and Cu was 0.02–0.45, Not detectable (ND)-9.45, 0.00–0.51, 0.05–2.19, 0.28–43.43, Not detectable (ND)-5.80, 2.005–175.77, and 0.20–23.85 mg/kg of fresh vegetables respectively. The concentrations of As, Pb, and Cd were higher than the maximum allowable concentration (MAC) in the vegetables. However, all the metals were consumed daily in amounts below the maximum tolerable daily intake (MTDI) for all vegetables. THQ values for all metals except As and Pb were below the safety level (THQ <1) in all the vegetables. Potential non-carcinogenic risk (THQ >1) was posed by As and Pb in some vegetables like cabbage, string bean, bottle gourd, green papaya, sponge gourd, etc. The TR levels of As, Cd, Cr, and Ni were higher than the acceptable levels (10−4) for most vegetables, suggesting that long-term exposure to these toxic metals may raise the risk of developing various malignancies, including stomach and lung cancer. An integrated approach is required to address the contamination burden to preserve the health of the consumers.

1 Introduction

The exposure of humans to heavy metals is a multifaceted issue, manifesting through various pathways that encompass inhalation of contaminated air, drinking of contaminated water, and the consumption of food items contaminated with toxic metals. These heavy metals find their way into the environment through an array of sources, including atmospheric deposition, vehicular emissions, the application of metallo-pesticides or herbicides, phosphate-based fertilizers, industrial discharges, effluents, as well as sewage and sludge pollution (Wilson and Pyatt, 2007; Zhang et al., 2013; Zhang et al., 2017; Rai et al., 2019). Consequently, these metals make their way into the soil and water, particularly in regions where contamination is prevalent. This accumulation occurs through two predominant routes: the soil-root-crop pathway and the water-root-crop pathway, resulting in the incorporation of heavy metals into the food chain, impacting both animal and human consumption (Zhang et al., 2013; Zhang et al., 2017; Rai et al., 2019).

Trace metals are known to play diverse roles in human health, encompassing both favorable and detrimental effects, and they are categorized into three groups: toxic metals such as arsenic, cadmium, lead, mercury, and nickel; metals that are likely essential like vanadium; and essential metals, which include copper, zinc, iron, manganese, selenium, and cobalt (Baruthio, 1992; Uriu-Adams and Keen, 2005; Godt et al., 2006; Plum et al., 2010; Hong et al., 2014; Nakhaee et al., 2019). It is worth noting that even the latter two categories of metals have been associated with adverse health effects when consumed in excessive amounts. In recent years, food safety has become a critical global public health concern, primarily due to the escalating risks posed by various biological, microbial, and chemical hazards including toxic heavy metals present in foods (D’Mello, 2003). Individuals who have been exposed to foods containing excessive levels of toxic or hazardous metals over an extended period face a heightened risk of developing severe health issues, including cancer, cardiovascular diseases, liver impairments, and renal damage (Uriu-Adams and Keen, 2005; Godt et al., 2006; Hong et al., 2014; Nakhaee et al., 2019). Recognizing the potential risks, the World Health Organization (WHO) and the Food and Agriculture Organization (FAO) have put forth recommendations establishing safe limits for heavy metal concentrations in water, fruits, vegetables, and various other food products (FAO/WHO, 2011). Consumption of heavy metals beyond these recommended Maximum allowable concentrations (MAC) through food consumption can significantly jeopardize human health and wellbeing (Uriu-Adams and Keen, 2005; Godt et al., 2006; Hong et al., 2014; Nakhaee et al., 2019).

Heavy metal exposure through dietary intake has emerged as a pressing global concern, as mounting evidence underscores the presence of elevated concentrations of diverse toxic metals in a range of food products, including water, fish, rice, fruits, vegetables, and other foodstuffs (Simon, 2016; Onakpa et al., 2018; Nkwunonwo et al., 2020; Sharma and Nagpal, 2020; Bahiru and Yegrem, 2021; Mengistu, 2021). Hazard quotient assessment in various studies has shown that consumption of contaminated vegetables can be toxic to both adults and children. A recent study on the heavy metal content of vegetables available in Bangladesh has revealed a concerning finding, with elevated levels of Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, and Pb surpassing the established safety limits in the majority of cases (Abu Rayhan Khan and Hosna, 2021). Similarly, Islam et al. (Islam et al., 2018), reported that As, Pb, Cd, and Cr contamination in river water, river sediments, soil, rice, fish, and vegetables exceeded the maximum allowable limits in many instances. Thus, intake of heavy metals beyond the MAC through consuming different foods can result in adverse health effects and substantially impact the overall health of the Bangladeshi population.

Different vegetables are grown all year round in Bangladesh and the average per capita daily intake of vegetables is 201.9 g (Bangladesh Bureau of Statistics (BBS), 2022). In the past decade, numerous studies have been conducted in Bangladesh to assess the presence of heavy metals in vegetables. Several reviews have addressed heavy metal content in soil, water, rice, and food items (Islam et al., 2018; Sarker et al., 2022), and a few focused on heavy metal content in vegetables in Bangladesh (Islam et al., 2018; Abu Rayhan Khan and Hosna, 2021). However, none of the studies estimated the health risks of humans related to heavy metals. Therefore, comprehensive information encompassing the heavy metal contamination of commonly consumed vegetables in Bangladesh and estimation of subsequent health risks upon consumption of vegetables is required. Thus, this systematic review aimed to identify the heavy metal contents in Bangladesh’s vegetables and estimated the carcinogenic and non-carcinogenic health risks of these heavy metals due to intake of these vegetables.

2 Methods and materials

2.1 Search strategy

The original articles were identified through systematic searches of two electronic databases: PubMed and Google Scholar. The search strategy to find relevant articles was as follows: PubMed: ((heavy metals OR trace elements OR trace minerals OR toxic metals) AND (fruit OR vegetable OR food) AND Bangladesh) and Google Scholar: allintitle: Bangladesh fruit OR vegetable OR “heavy metals” OR “trace elements” OR “trace minerals” OR “toxic metals.” Moreover, manual Google searching was done to get additional articles relevant to this study. The literature search was conducted in August - September 2022. Two authors independently searched the literature with the same search strategy.

2.2 Eligibility criteria

The following inclusion criteria were used to select the pertinent studies: 1) study design: cross-sectional study, 2) study area: different areas in Bangladesh 3) language: articles published in English, 4) sample: research articles on vegetables 5) issues with publication: original research articles of peer-reviewed journals, 6) reporting data: articles reported the quantitative content of heavy metals in vegetables on fresh weight basis.

2.3 Study selection

All the articles obtained from systematic and manual database searches were exported to Rayyan, an online tool that helps in the initial screening of the abstracts and titles. The Rayyan was used to find and eliminate duplicate articles. After screening the titles and abstract, the articles were removed which were not relevant to the review. Then, the full text of the articles was evaluated for relevance to the study by comparing them to the eligibility requirements. To reduce selection bias, two authors independently reviewed the identified articles based on the eligibility criteria, and if any discrepancies were raised between these two authors regarding the study selection a third author was consulted to resolve the issue.

2.4 Data extraction and reporting

Relevant data (the author, year of publication, study area, study design, name of sample, description of the sample, analytical methods, quality assurance method, and heavy metal contents) were extracted from the included articles based on a predetermined data extraction form, using Microsoft Excel 2016. The extracted data were presented in the form of a table and text.

2.5 Assessment of the outcome

This systematic review aimed to determine the contents and public health significance of different heavy metals in various vegetables of Bangladesh. The concentration of each heavy metal (mean ± standard deviation, minimum - maximum) was presented for each vegetable. The public health risk of different heavy metals was assessed in terms of estimated daily intake (EDI), target hazard quotient (THQ), and carcinogenic risk (TR) (USEPA, 2023).

2.5.1 Estimated daily intake (EDI) of heavy metals

The EDI of heavy metal was calculated using the mean concentrations of heavy metal in various vegetables (on a fresh weight basis), average daily consumption of vegetables, and body weight. The following formula was applied to calculate the respective EDI for each heavy metal (Eq. 1).where FIR is the daily food consumption rate for adult residents (g/person/day), C is the mean concentration of heavy metal in the vegetable sample (mg/kg fresh weight) and BW is the body weight. In Bangladesh, the daily vegetable consumption rate for an adult of 65 kg (ICMR-NIN, 2020) was an average of 116.9 g leafy vegetables, 95.1 g non-leafy vegetables, 69.7 g potato, 30.2 g onion, and 8.6 g green chili on a fresh weight basis (Shaheen et al., 2021; Bangladesh Bureau of Statistics (BBS), 2022).

2.5.2 Target hazard quotient (THQ)

The following equation (Eq. 2) was used for estimating the THQ.where EFr is the exposure frequency (365 days/year); ED means the exposure duration (70 years) equivalent to the average lifetime for a man in Bangladesh; FIR is the food ingestion rate (g/person/day); C is the metal concentration in vegetable samples (mg/kg fresh weight); BW is the average body weight (adult, 65 kg), and AT is the averaging time for non-carcinogens (365 days/year number of exposure years, assuming 70 years). RfD is the oral reference dose (mg/kg/day); RfDs are 0.001, 0.0003, 0.0035, 1.5, 0.02, 0.3, 0.04, and 0.14 mg/kg body weight/day for Cd, As, Pb, Cr, Ni, Zn, Cu, and Mn, respectively (USEPA, 2023). The RfDs denote an estimate of the daily exposure to which the human population may be continually exposed over a lifetime without an appreciable risk of deleterious effects. If the THQ is less than 1, the exposed population is unlikely to experience obvious adverse effects. If the THQ is found to be equal to or higher than 1, there is a potential health risk (Wang et al., 2005), and related interventions and protective measures should be taken.

2.5.3 Combined risk of multiple metals

It has been reported that exposure to two or more pollutants may result in additive and/or interactive effects. The total THQ (TTHQ) of heavy metals for individual fruit was treated as the mathematical sum of each metal’s THQ value (Eq. 3):

Based on the Guidelines for Health Risk Assessment of Chemical Mixtures of USEPA, a hazard index (HI) has been formulated as Eq. 4 to assess the overall potential for noncarcinogenic effects from more than one heavy metal.

2.5.4 Carcinogenic risk

The following equation (Eq. 5) was used for estimating the target cancer risk (lifetime cancer risk).where TR represents the risk of cancer over a lifetime; EFr is the exposure frequency (365 days/year); ED is the exposure duration (70 years) equivalent to the average lifetime for man in Bangladesh; FIR is the food ingestion rate (g/person/day); C is the concentration of metal in vegetable samples (mg/kg fresh weight); BW is the body weight (65 kg for an adult) and AT is the averaging time for non-carcinogens (365 days/year × number of exposure years, assuming 70 years); CSFo is the oral carcinogenic slope factor from the Integrated Risk Information System database, which was 1.5, 6.1, 0.41, 0.91 and 0.0085 mg/kg/day for As, Cd, Cr, Ni, and Pb respectively (USEPA, 2023).

3 Results and discussion

The present systematic review provides an overview of heavy metal concentrations present in Bangladeshi vegetables. The review includes 24 research articles that estimated the heavy metals concentration of vegetables collected from different places in Bangladesh. It provides information on concentrations of eight heavy metals (As, Pb, Cd, Cr, Mn, Ni, Zn, and Cu) in 43 varieties of vegetables. The study also assessed the health risks associated with the consumption of these vegetables covering both carcinogenic and non-carcinogenic risks.

3.1 Study selection

A total of 1444 studies were identified through a systematic search in PubMed, and Google Scholar using a predefined search strategy (Figure 1). In addition, 14 articles were identified through a manual search on Google. After an initial screening, 130 identified duplicate articles were excluded and the titles and abstracts of the remaining 1328 articles were screened. After screening the titles and abstracts, 1239 articles were excluded. Then, the available full text of 81 articles was assessed against the eligibility criteria to evaluate their relevance to this review. Finally, 24 eligible studies that reported the concentration of heavy metals in vegetables on a fresh-weight basis in Bangladesh were selected for this systematic review.

FIGURE 1

3.2 Characteristics of the included studies

A total of 24 studies were included in this review to determine heavy metal concentrations in Bangladeshi vegetables. Among the 24 selected studies, 9 studies were conducted in Dhaka city and its adjacent districts such as Savar and Gazipur. These studies covered locations including local markets, river-adjacent sites, and industrial areas. Four studies were conducted in Rajshahi and Bogra districts, and 8 were in the southern regions of Bangladesh covering districts such as Kushtia, Bagerhat, Pabna, Jhenaidah, Patuakhali, and Narshingdi. Apart from these, 2 studies covered different ecological zones and markets of the whole country. Out of 24 studies, 14 studies used the edible parts of the vegetables as sample for analyzing metal concentration. Twelve studies used Inductively coupled plasma mass spectrometer (ICP-MS) as the instrument for sample analysis and other studies used atomic absorption spectrometer and its different types such as Flame atomic absorption spectroscopy (FAAS), Cold vapor atomic absorption spectrometer (CVAAS), and Hydride generation atomic absorption spectrometer (HGAAS). Almost all the studies (n = 19) conducted different quality assurance methods such as using internal quality controls, certified reference materials, blanks, calibration curves, and running accuracy and precision analysis (Table 1).

TABLE 1

Food descriptionLocationSample nameSample size descriptionMethod of analysisQuality assurance methodReferences
Edible parts30 agro-ecological zones of BangladeshBrinjal, Bean, Carrot, Green chilli, Onion, Potato, TomatoSamples of 7 different vegetablesICP-MSIQCs and CRMShaheen et al. (2016)
Edible partsBogra districtBean, Cauliflower, Spinach, Brinjal, Tomato, Potato, Onion, Carrot, Chilli, Bottle gourd, Cucumber, Green Banana, Bitter gourd130 samples of 13 different vegetablesICP-MSIQCsIslam et al. (2016)
UnclearBogra districtBrinjal, Tomato, Potato, Onion, Carrot, Chilli, Bottle gourd, Cucumber64 samples of 8 different vegetablesICP-MSIQCsIslam et al. (2014b)
UnclearRiver adjacent areas of Dhaka cityBrinjal, Bottle gourd, Pumpkin, Tomato50 samples of 4 different vegetablesICP-MSIQCsIslam et al. (2015c)
UnclearBogra DistrictCauliflower, Potato, Chilli3 different vegetablesICP-MSCRMIslam et al. (2015d)
Edible partsShaheb Bazar of Rajshahi CityPotato, Pointed gourd, Bitter gourd, Okra, Tesla gourd, Sweet gourd, Brinjal, Red amaranth, Onion, Radish12 different vegetablesAASNot reportedSaha and Zaman (2013)
Edible partsIndustrial area of Dhaka cityTomato, Bottle gourd, Brinjal, Pumpkin, Green amaranth, Red amaranth, Chilli, Banana48 samples of 8 different vegetablesICP-MSIQCs and CRMIslam and Hoque (2014)
Edible partsKushtia districtCarrot, Potato, Brinjal, Tomato, Bean, Green Papaya, Cauliflower, Spinach8 different vegetablesAASAnalytical grade chemical reagents and various metal stock solutionsIslam et al. (2017a)
UnclearDhaka and Faridpur regionBrinjal, Malabar spinach, Pointed gourd, Potato, Tomato, Bottle gourd, Yardlong bean, Pumpkin, Red amaranth, Green amaranth10 different vegetablesAASStandard reference materials (NBS-SRM 1573) were used for evaluation of accuracy and precision of the methodHaque et al. (2021)
Edible partsBagerhat d istrictRed spinach, Spinach, Cauliflower, Sweet gourd, Kholrabi, Radish6 different leafy, fruit, and root vegetablesAASNot reportedHossain et al. (2021)
UnclearGazipur industrial areaGourd spinach, Bottle Gourd, Pumpkin, Pumpkin spinach, Tomato, Red spinach7 different vegetablesICP-MSNot reportedAhmed et al. (2019)
UnclearTangail districtSponge gourd, Bitter gourd, Papaya, Okra, Bean, Brinjal, Chilli, Bottle gourd, Cucumber, Indian spinach10 different vegetablesICP-MSNot reportedProshad et al. (2020)
UnclearPabna districtPotato, Red amaranth, Spinach amaranth, Carrot, Cabbage, Tomato, Brinjal9 different vegetablesFAAS, ZAAS, CVAAS, and HGAASBlanks, calibration curves, lowest of detection (LOD), and SRMRC and A (2015)
Edible partsNarsingdi districtWatercress, Alligator weed, Red amaranth, Spinach, Cauliflower, Eggplant72 samples of 6 different vegetablesAASCoefficient of determination (R2), LOD, and accuracy and precision analysisLaboni et al. (2022)
UnclearDifferent city markets in BangladeshDhekishak, Helencha, Kalmishak, Patshak, Shapla stem5 different wild vegetablesAAS, FAAS, and UV spectrophotometerNot reportedMohammed Abdus Satter et al. (2016)
Edible partsPatuakhali districtBrinjal, Bottle gourd, Bean, Chilli, Carrot, Green amaranth, Onion, Pumpkin, Potato, Red amaranth, Tomato12 different vegetablesICP-MSCalibration curves, coefficient of determination (R2), and IQC.Islam et al. (2017b)
Edible partsLocal markets of DhakaBitter melon, Carrot, Cauliflower, Potato, Tomato, Onion, Sweet gourd, Cucumber, Brinjal, Red amaranth, Arum, Malabar spinach, Okra
String bean, Bean
5 different fruits and 15 different vegetablesAASAccuracy and precision analysisRahman and Islam (2019)
Edible partsSavar, DhakaJute, Red amaranth, Zucchuni, Okra, Stem amaranth5 different vegetablesAASIQCsAl Amin et al. (2020)
UnclearJhenaidah districtTomato, Bean, Brinjal, Cabbage, Spinach, Cauliflower, Potato, Radish160 samples of 8 different vegetablesAASAccuracy and precision analysisIslam et al. (2018c)
Edible partsPatuakhali districtBrinjal, Green amaranth, Red amaranth, Bottle gourd, Tomato, Pumpkin, Chili, Carrot, Bean, Onion, Potato12 different vegetablesICP-MSIQCsIslam et al. (2015e)
Edible partsSavar, DhakaRed amaranth, Radish, Bottle gourd, Indian spinach (green), Green papaya, Pointed gourd, Stem, Amaranth leaf, Jute leaf, Coriander27 samples of 9 different vegetablesAASCertified reference standards (CRS)Hossain et al. (2015)
UnclearJhenaidah and Kushtia districtsBottle gourd, Chili, Potato, Cucumber, Danta shak, Red amaranth, Drumstick leaf, Okra, Indian spinach, Bean, Papaya, Brinjal, Carrot130 samples of 13 different vegetablesICP-MSIQCs and CRMsKormoker et al. (2021)
Edible partsIndustrial area of Dhaka cityBrinjal, Bottle gourd, Pumpkin, Tomato144 samples of 4 different vegetablesICP-MSIQCs and CRMsIslam et al. (2014a)
Edible partsSavar, DhakaRed amaranth, Radish, Bottle gourd, Indian spinach, Green papaya, Pointed gourd, Stem amaranth leaf, Jute leaf, Coriander27 samples of 9 different vegetablesAASCRMsAbdullah and Ahsan (2016)

Characteristics of the included studies (n = 24).

Abbreviation: ICP-MS, inductively coupled plasma mass spectrometer; AAS, atomic absorption spectrometer; CVAAS, cold vapor atomic absorption spectrometer; HGAAS, hydride generation atomic absorption spectrometer; IQCs, Internal Quality Controls.

3.3 Metal concentration in vegetable samples

The concentration of heavy metals in the vegetable samples is presented in Table 2. In this study, the As concentration of vegetables ranged from 0.02 to 0.45 mg/kg where the lowest content was found in string beans and the highest in coriander. Another study conducted in the 30 agroecological zones of Bangladesh reported As content in beans as 0.018 mg/kg (Shaheen et al., 2016). Almost all the vegetables, except radish, sweet gourd, tesla gourd, and jute leaf had As content above its maximum allowable concentration (MAC) (0.1 mg/kg). In a study, the mean As concentration varied from 0.13 mg/kg to 0.52 mg/kg among different vegetables (Islam et al., 2016). Conversely, another study reported a lower mean concentration of As in the vegetables which was 0.05 mg/kg (Rahman et al., 2013). Arsenic (As) is one of the harmful heavy metals and a global public health concern. This ubiquitous metal is found in food, water, and the environment as a contaminant and is notoriously known as the “king of poisons”. Arsenic exposure affects the majority of the human body organs and hamper vital body systems such as cardiovascular systems, renal systems, reproductive systems, respiratory systems, and nervous systems (Rahman et al., 2018; Rahaman et al., 2021; Shaji et al., 2021). In Bangladesh, arsenic-contaminated drinking water is regarded as one of the significant public health threats (Rahman et al., 2018). Recent studies established that arsenic contamination in groundwater has been found in 62 districts out of 64 districts of the country (Ahmad et al., 2018). This contaminated groundwater is often used in the cultivation of food crops leaving staple crops and other foodstuffs contaminated with As. Among the contaminated foodstuffs rice and vegetables are the most common sources of As for the Bangladeshi population (Ahmed et al., 2016). Moreover, fertilizers, pesticides, industrial waste, etc. also contribute to the As pollution in the water leading to penetrating the food chain of humans. Limited use of chemical fertilizers, and proper management of industrial waste might help in resolving As contamination in Bangladesh.

TABLE 2

English nameScientific nameMean ± SD (Min-Max)References
AsPbCdCrMnNiZnCu
Bottle gourdLagenariasiceraria0.24 ± 0.96 (ND-0.83)1.76 ± 0.63 (ND-10.02)0.15 ± 0.07 (0.01–0.43)0.98 ± 0.25 (ND-3.34)12.233.28 ± 1.83 (0.07–8.05)175.77 ± 2.79 (3.08–659.45)4.81 ± 1.76 (0.68–10.42)Islam et al. (2014a),Islam et al. (2014b),Islam and Hoque (2014),Islam et al. (2015c),Islam et al. (2015e),Hossain et al. (2015),Abdullah and Ahsan (2016),Islam et al. (2016),Islam et al. (2017b),Ahmed et al. (2019),Proshad et al. (2020),Haque et al. (2021),Kormoker et al. (2021)
BeanPhaseolus vulgaris0.18 ± 0.05 (0.02–0.52)0.61 ± 0.69 (0.06–1.3)0.14 ± 0.92 (0.01–0.29)0.98 ± 0.41 (0.20–2.1)11.29 ± 1.17 (2.71–28.35)1.23 ± 0.84 (0.42–2.05)16.07 ± 2.5 (4.57–28)2.35 ± 1.33 (0.72–6.06)Islam et al. (2015e),Islam et al. (2016),Shaheen et al. (2016),Islam et al. (2017a),Islam et al. (2017b),Islam et al. (2018c),Rahman and Islam (2019),Proshad et al. (2020),Kormoker et al. (2021)
Bitter melonMomordica charantia0.15 ± 0.03 (0.02–0.28)0.64 ± 0.15 (0.31–1.02)0.08 ± 0.03 (0.004–0.18)1.04 ± 0.55 (0.09–3.01)1.61 ± 0.0040.71 ± 0.46 (0.01–1.88)5.38 (2.00–2.39)2.20 ± 0.92Saha and Zaman (2013),Islam et al. (2016),Rahman and Islam (2019),Proshad et al. (2020)
BrinjalSolanum melongena0.11 ± 0.05 (ND-0.29)0.46 ± 0.29 (0.01–1.76)0.20 ± 0.09 (ND-0.42)0.83 ± 0.62 (0.14–3.32)4.65 ± 1.09 (0.45–13.75)2.23 ± 1.52 (ND-4.52)12.72 ± 2.04 (0.57–26.03)7.01 ± 2.74 (0.54–17.04)Saha and Zaman (2013),Islam et al. (2015e),Haque et al. (2021),Kormoker et al. (2021),Laboni et al. (2022)
CabbageBrassica oleracea0.31 ± 0.06 (ND-0.31)0.19 ± 0.02 (0.12–0.26)0.51 ± 0.04 (ND-0.51)0.50 ± 0.013.55 ± 0.59 (0.99–6.1)ND20.33 ± 2.76 (2.65–38)-RC and A (2015),Islam et al. (2018c)
CarrotDaucus carota0.15 ± 0.07 (ND-0.26)0.51 ± 0.45 (0.03–1.1)0.11 ± 0.07 (ND-0.13)0.67 ± 0.27 (ND-0.82)3.45 ± 0.42 (1.26–6.99)0.76 ± 2.15 (ND-1.5)10.82 ± 1.75 (0.07–39.58)1.86 ± 0.83 (0.71–2.76)Islam et al. (2014b),Islam et al. (2015e),RC and A (2015),Islam et al. (2016),Shaheen et al. (2016),Islam et al. (2017a),Islam et al. (2017b),Rahman and Islam (2019),Kormoker et al. (2021)
CauliflowerBrassica oleracea var botrytis0.11 ± 0.03 (0.05–0.16)0.75 ± 2.37 (0.06–3.5)0.12 ± 0.03 (0.004–0.34)0.36 ± 0.32 (0.06–0.27)3.39 ± 0.4 (3.3–3.47)0.76 ± 0.88 (0.08–1.5)13.78 ± 1.43 (2.22–21.09)7.73 ± 7.0 (0.19–13)Islam et al. (2015d),Islam et al. (2016),Islam et al. (2017a),Islam et al. (2018c),Rahman and Islam (2019),Hossain et al. (2021),Laboni et al. (2022)
CucumCucumis sativus0.18 ± 0.09 (0.11–0.29)0.40 ± 0.13 (0.21–0.77)0.09 ± 0.08 (0.01–0.22)0.48 ± 0.13 (0.02–0.86)-0.27 ± 0.06 (0.006–0.62)2.651.17 ± 0.36 (0.59–1.51)Islam et al. (2014b),Islam et al. (2016),Rahman and Islam (2019),Proshad et al. (2020),Kormoker et al. (2021)
Green papayaCarica papaya0.26 ± 0.17 (0.11–0.37)0.44 ± 0.28 (ND-0.56)0.14 ± 0.21 (0.13–0.14)0.82 ± 0.33 (ND-1.45)3.99 ± 0.421.18 ± 0.48 (0.09–2.63)17.39 ± 1.571.49 ± 0.54 (0.43–2.55)Hossain et al. (2015),Abdullah and Ahsan (2016),Islam et al. (2017a),Proshad et al. (2020),Kormoker et al. (2021)
OkraAbelmuschus esculentus0.12 ± 0.05 (0.02–0.26)0.75 ± 0.36 (0.33–1.39)0.16 ± 0.06 (0.004–0.41)1.12 ± 0.61 (0.10–2.85)0.73 ± 01.36 ± 1.11 (0.11–3.75)-1.05 ± 0.5 (0.45–1.66)Saha and Zaman (2013),Rahman and Islam (2019),Al Amin et al. (2020),Proshad et al. (2020),Kormoker et al. (2021)
Pointed gourdTrichossanthes dioica0.11 ± 0.002 (0.003–0.29)0.66 ± 0.02 (0.003–1.41)0.12 ± 0.002 (0.03–0.21)0.30 ± 0.01 (0.29–0.32)0.76 ± 0.0040.19 ± 0.0711.562.51Saha and Zaman (2013),Hossain et al. (2015),Abdullah and Ahsan (2016),Haque et al. (2021)
PumpkinCucurbita maxima0.15 ± 0.5 (0.02–0.3)1.65 ± 0.39 (0.2–8.38)0.11 ± 0.06 (0.01–0.37)0.87 ± 0.41 (0.62–1.45)5.253.80 ± 2.57 (2.1–5.82)81.84 ± 4.39 (15.8–183.61)6.10 ± 2.42 (2.05–11.44)Islam et al. (2014a),Islam and Hoque (2014),Islam et al. (2015c),Islam et al. (2015e),Islam et al. (2017b),Ahmed et al. (2019),Haque et al. (2021)
RadishRaphanus sativus L0.07 ± 0.05 (0.02–0.17)0.69 ± 0.03 (0.02–2.17)0.17 ± 0.02 (0.03–0.25)2.19 ± 0.010.69 ± 0.21
0.41–0.97
0.82 ± 0.11118.50 ± 3.51
2–18.50
0.69Saha and Zaman (2013),Hossain et al. (2015),Abdullah and Ahsan (2016),Islam et al. (2018c),Hossain et al. (2021)
TomatoSolanumlycopersicum0.15 ± 0.30 (ND-0.34)1.04 ± 0.22 (0.005–4.13)0.14 ± 0.04 (ND-0.37)0.83 ± 0.31 (0.37–1.81)6.58 ± 0.63 (1.41–16.32)0.93 ± 0.60 (0.13–2.13)100.73 ± 2.97 (1.95–662.39)6.82 ± 1.93 (1.6–17.5)Islam et al. (2014a),Islam et al. (2014b),Islam and Hoque (2014),Islam et al. (2015c),Islam et al. (2015e),RC and A (2015),Islam et al. (2016),Shaheen et al. (2016),Islam et al. (2017a),Islam et al. (2017b),Islam et al. (2018c),Ahmed et al. (2019),Rahman and Islam (2019),Haque et al. (2021)
Sweet gourdCukurbita pepo0.07 ± 0.1 (0.02–0.12)1.10 ± 0.09 (0.17–2.17)0.10 ± 0.01 (0.002–0.21)0.22 ± 0.1 (0.03–0.39)0.28 ± 0.010.05 ± 0.0115.4923.85Saha and Zaman (2013),Rahman and Islam (2019),Hossain et al. (2021)
BananaMusa acuminata0.11 ± 0.0 (0.01–0.2)0.07 ± 0.02 (0.03–0.11)0.07 ± 0.01 (0.05–0.08)0.67 ± 0.34 (0.06–1.27)-4.64 ± 1.98 (0.06–9.21)39.25 ± 7.19 (3.04–75.46)14.77 ± 4.21 (0.14–29.39)Islam and Hoque (2014),Islam et al. (2016)
Shapla stemNymphaea stellata-0.04 ± 0.03-0.32 ± 0.6-0.16 ± 0.22.05 ± 1.31.00 ± 1.1Mohammed Abdus Satter et al. (2016)
Sponge gourdLuffa cylindrical0.39 ± 1.240.08 ± 0.110.26 ± 1.060.69 ± 1.23-0.89 ± 2.46-0.30 ± 0.73Proshad et al. (2020)
String beanVigna sesquipedalis0.45 ± 0.1 (0.18–0.72)0.66 ± 0.1 (0.46–0.87)0.15 ± 0.01 (0.004–0.29)0.27 ± 0.1-0.16 ± 0.0221.542.69Rahman and Islam (2019),Haque et al. (2021)
Tesla gourdMomordica dioica0.03 ± 00.37 ± 0.0020.22 ± 0.030.33 ± 01.20 ± 0.01---Saha and Zaman (2013)
ZucchuniLuffa aegyptiaca-3.36 ± 0.50.04 ± 0.011.84 ± 0.63----Al Amin et al. (2020)
Stem amaranthAmaranthus lividus-1.95 ± 1.450.04 ± 0.011.68 ± 0.27----Al Amin et al. (2020)
Gourd SpinachLagenaria siceraria0.307.820.171.8843.432.53147.754.33Ahmed et al. (2019)
Pumpkin spinachCucurbita maxima0.223.040.110.7919.252.3463.444.75Ahmed et al. (2019)
CorianderCoriandrum sativum L0.02 ± 0.01ND-1.18 ± 0.01-0.98 ± 0.07--Hossain et al. (2015),Abdullah and Ahsan (2016)
Green amaranthAmaranthushybridus0.22 ± 0.11 (0.15–0.33)1.72 ± 0.38 (0.15–0.53)0.36 ± 0.22 (1.2–2.54)1.79 ± 0.28 (1.3–2.28)-3.39 ± 0.66 (2.46–4.5)51.75 ± 7.48 (25.04–78.45)6.61 ± 0.44 (2.9–15.6)Islam and Hoque (2014),Islam et al. (2015e),Islam et al. (2017b),Haque et al. (2021)
Indian spinachBasella alba0.10 ± 0.02 (ND-0.13)0.09 ± 0.02 (ND-0.12)0.09 ± 0.03 (0.007–0.16)0.15 ± 0.07 (ND-0.21)-0.34 ± 0.07 (0.14–0.58)-0.32 ± 0.15 (0.21–0.44)Hossain et al. (2015),Abdullah and Ahsan (2016),Proshad et al. (2020),Kormoker et al. (2021)
Jute leafCorchorus capsularies0.08 ± 0.040.27 ± 0.26 (0.03–0.7)0.04 ± 0.0051.04 ± 0.33 (0.29–2.18)-0.59 ± 0.15 (1.06–0.12)14.70 ± 1.50.20 ± 0.4Hossain et al. (2015),Abdullah and Ahsan (2016),Mohammed Abdus Satter et al. (2016),Al Amin et al. (2020)
Red amaranthAmaranthus gangeticus L0.14 ± 0.09 (ND-0.28)9.45 ± 0.56 (ND-103.58)0.24 ± 0.21 (ND-0.84)1.45 ± 0.84 (ND-4.17)6.19 ± 0.02 (0.79–5.72)2.82 ± 1.83 (0.12–7.59)63.16 ± 7.0 (7.79–170.22)5.76 ± 1.67 (0.22–19.35)Saha and Zaman (2013),Islam and Hoque (2014),Islam et al. (2015e),Hossain et al. (2015),RC and A (2015),Abdullah and Ahsan (2016),Islam et al. (2017b),Ahmed et al. (2019),Rahman and Islam (2019),Al Amin et al. (2020),Haque et al. (2021),Hossain et al. (2021),Kormoker et al. (2021),Laboni et al. (2022)
SpinachSpinacia oleracea0.31 ± 0.08 (0.13–0.43)0.40 ± 0.05 (0.15–1.02)0.22 ± 0.03 (0.03–0.48)0.32 ± 0.01 (0.15–0.49)6.70 ± 0.63 (6.49–6.9)1.31 ± 0.23 (0.09–2.53)21.89 ± 3.64 (1.72–40)6.64 (1.67–6.64)Islam et al. (2016),Islam et al. (2017a),Islam et al. (2018c),Hossain et al. (2021),Laboni et al. (2022)
Alligator weedAlternanthera philoxeroides-0.18 ± 0.050.05 ± 0.010.05 ± 0.02-1.72 ± 1.64--Laboni et al. (2022)
ArumColocasia esculenta0.11 ± 0.040.08 ± 0.020.00 ± 0.0010.23 ± 0.1-0.20 ± 0.05--Rahman and Islam (2019)
DhekishakDryopteris filix-mas-0.09 ± 0.06-0.60 ± 0.04-0.41 ± 0.032.20 ± 0.213.12 ± 1.3Mohammed Abdus Satter et al. (2016)
Drumstick leafMoringa oleifera0.13 ± 0.030.40 ± 0.20.07 ± 0.010.18 ± 0.07-1.16 ± 0.58-0.70 ± 0.32Kormoker et al. (2021)
HelenchaEnhydra fluctuans-0.13 ± 0.04-0.95 ± 0.7-0.43 ± 0.25.43 ± 21.64 ± 0.6Mohammed Abdus Satter et al. (2016)
KalmishakIpomoea aquatica-0.08 ± 0.03-0.41 ± 0.4-0.38 ± 0.35.10 ± 0.80.60 ± 0.4Mohammed Abdus Satter et al. (2016)
Malabar spinachBasella alba0.22 ± 0.01 (0.03–0.41)0.52 ± 0.06 (0.15–0.9)0.40 ± 0.001 (0.006–0.79)0.46 ± 0.3-0.01 ± 0.0129.833.47(Rahman and Islam, 2019; Haque et al., 2021)
Spinach amaranthAmaranthus lividus0.14 ± 0.03 (ND-0.14)0.98 ± 0.14 (0.002–1.60)0.05 ± 0.01 (ND-0.05)0.60 ± 0.3 (ND-0.85)5.28 ± 0.060.45 ± 0.09 (0.35–0.68)8.49 ± 1.170.36 ± 0.08(Hossain et al., 2015; RC and A, 2015; Abdullah and Ahsan, 2016; Kormoker et al., 2021)
Watercress-0.38 ± 0.070.06 ± 0.010.24 ± 0.11-5.80 ± 0.83--Laboni et al. (2022)
PotatoSolanum tuberosum0.20 ± 3.23 (ND-0.92)0.61 ± 0.92 (0.007–1.5)0.20 ± 0.23 (ND-0.45)0.69 ± 0.53 (ND-1.71)2.72 ± 0.59 (1.22–6.93)0.96 ± 1.62 (ND-2.1)16.84 ± 2.99 (2.49–42.98)3.88 ± 5.11 (0.68–12)(Saha and Zaman, 2013; Islam et al., 2014b; Islam et al., 2015d; Islam et al., 2015e; RC and A, 2015; Islam et al., 2016; Shaheen et al., 2016; Islam et al., 2017a; Islam et al., 2017b; Islam et al., 2018c; Rahman and Islam, 2019; Haque et al., 2021; Kormoker et al., 2021)
OnionAllium cepa0.13 ± 0.06 (0.008–0.27)0.63 ± 0.32 (0.03–2.07)0.16 ± 0.26 (0.02–0.29)0.67 ± 0.23 (0.52–1.1)6.85 ± 1.05 (1.69–12.02)0.56 ± 1.00 (0.10–0.92)2.89 ± 0.13 (2.34–3.45)2.68 ± 1.58 (1.7–3.63)(Saha and Zaman, 2013; Islam et al., 2014b; Islam et al., 2015e; Islam et al., 2016; Shaheen et al., 2016; Islam et al., 2017b; Rahman and Islam, 2019)
ChilliCapcicum frutescens0.19 ± 0.26 (0.004–0.34)0.73 ± 0.95 (0.01–0.42)0.15 ± 0.29 (0.006–2.81)0.91 ± 0.39 (0.49–2.08)16.95 ± 1.251.94 ± 1.55 (0.35–4.76)12.56 ± 2.24 (1.97–33.29)7.03 ± 6.95 (0.87–24.18)(Islam et al., 2014b; Islam and Hoque, 2014; Islam et al., 2015d; Islam et al., 2015e; Islam et al., 2016; Shaheen et al., 2016; Islam et al., 2017b; Proshad et al., 2020; Kormoker et al., 2021)
MAC0.10.050.12.3-1040-FAO/WHO (2011)

Heavy metal content in vegetables (mg/kg of fresh edible weight) of Bangladesh.

ND: not detected; MAC: maximum allowable concentration.

a

The heavy metal content found below the detection level was not included in the mean calculation.

Pb was present in all the vegetable samples and the lowest content of Pb was found in coriander (0.02 mg/kg) whereas the highest content of Pb was found in red amaranth (9.45 mg/kg). On the other hand, a study conducted in the 9 industrial areas of Dhaka city found the highest concentration of Pb in bottle gourd (2.2 mg/kg) (Islam et al., 2014a). Another study on vegetables in the Chapai Nawabganj district reported the Pb concentration of the samples in the range of 3E-05 to 7E-04 mg/kg (Islam et al., 2015a). Though the MAC of Pb is 0.05 mg/kg, except for corriander and shapla stem all the vegetable samples exceeded this permissible limit. Pb, a highly toxic element, poses harmful toxic effects to many organs of the human body. This heavy metal can be ingested in the body through air, food, water, and through the skin. Exposure to Pb can cause serious effects leading to neurological, respiratory, cardiovascular, and urinary disorders. Moreover, Pb could disrupt the oxidant-antioxidant system of the body and can cause oxidative imbalance and inflammatory mechanisms (Balali-Mood et al., 2021). Pb toxicity can adversely affect children resulting in poor brain development and intelligence outcomes (Kiran and Sharma, 2022). Among the many sources of Pb, chemical fertilizers, pesticides, industrial waste, municipal waste, traffic, etc. substantially contaminate the air, and water with Pb which then comes to the food chain (vegetables, rice, fruits, etc.) to the human body. To secure public health the possible sources of these hazardous metals should be monitored and controlled.

Among the vegetable samples, arum (0.0 mg/kg) had the lowest concentration of Cd followed by stem amaranth, jute leaves, and zucchini. On the other hand, the highest Cd concentration was found in cabbage (0.51 mg/kg) which was above its maximum permissible limit (0.1 mg/kg). In a review study on heavy metals concentration of vegetables, the authors reported Cd level in the range of 0.01–0.74 mg/kg with a mean concentration of 0.16 mg/kg (Abu Rayhan Khan and Hosna, 2021). Several other studies conducted in Dhaka reported Cd concentrations in vegetables as 0.008–0.056 mg/kg (Shaheen et al., 2016), 0.001–1.6 mg/kg (Islam et al., 2015b), and 0.23–0.51 mg/kg (Islam et al., 2018). People who get exposed to high levels of Cd may develop symptoms of kidney disease, hypertension, prostatic lesions, and bone fractures. This heavy metal can be ingested in the human body through air, water, soil, contaminated food, and even through smoking (Balali-Mood et al., 2021). Apart from these sources, another major source of Cd is occupational exposure which can occur in alloy, battery, glass, and electroplating industries.

In this study, Cr was also found in all the vegetable samples. The maximum and minimum levels of Cr were found in radish (2.19 mg/kg) and alligator weed (0.05 mg/kg), respectively. Similarly, a study reported the highest concentration of Cr in radish (4.14 mg/kg) which was relatively higher than our study’s finding (Abdullah and Ahsan, 2016). The differences in the results can be due to the nature of the studies as the present study is a review and another is original research conducted in the industrial areas of Dhaka city. When compared to the WHO/FAO standards the present study found Cr concentrations in all vegetable samples below the maximum permissible value (2.3 mg/kg). Though Cr is less toxic than other heavy metals its bioaccumulation in the body can develop several cancers including kidney, bone, lungs, and larynx (Fang et al., 2014). According to a study by Islam et al. (2018) highlighted industrial and municipal waste as the sources of Cr in Bangladesh (Islam et al., 2018). Controlled regulations, monitoring, and management of industrial and municipal waste might contribute to reducing Cr contamination to the environment and foodstuffs.

Manganese, the most abundant heavy metals, can be found in different oxidation states in nature. In the present study, the lowest and highest levels of Mn were observed in tesla gourd (1.20 mg/kg) and gourd spinach (43.43 mg/kg). These results were congruent with other study findings which also reported gourd spinach as the highest Mn containing vegetable (Ahmed et al., 2019). Previous studies found Mn concentration in the range of 2.01–6.49 mg/kg (Islam et al., 2017), 1.36–8.12 mg/kg (Saha and Zaman, 2013), and 0.99–5.72 mg/kg (RC and A, 2015). Although there is little evidence regarding the MAC of Mn in vegetables chronic overexposure to Mn can affect the nervous system (Miah et al., 2020).

Nickel is a minor essential metal, but it is toxic at higher concentrations. In the vegetable samples, the Ni concentration varied in the range of 0.01–4.64 mg/kg with the lowest in malabar spinach and the highest in banana. Conversely, banana was found to be the lowest source of Ni concentration in another study (Shaheen et al., 2016). A previous study detected Ni concentration in the range of 0.072–1.069 mg/kg which was quite lower than the present study findings. The study also identified bottle gourd having the highest Ni concentration (Hossain et al., 2015). All the vegetable samples contained Ni concentration below its MAC of 10 mg/kg of fresh weight. However, different results were observed in another study where Ni content in vegetables crossed the standard safe limit (Abu Rayhan Khan and Hosna, 2021). Although Ni can be found in smaller amounts in the environment it can cause a wide range of diseases namely pulmonary diseases, lung inflammation, fibrosis, and epigenetic effects (Kiran and Sharma, 2022).

In the present study, most of the vegetables contained Zn more than its standard allowable limit. The highest content of Zn was found in bottle gourd (175.77 mg/kg) and the lowest content was in shapla stem (2.05 mg/kg). Moreover, the Zn concentration in the bottle gourd was more than 3.5 times higher than its maximum permissible limit. Other studies reported the highest concentration of Zn in tomatoes and the lowest in cauliflower (Islam et al., 2017). A study conducted in the severe As-contaminated area of Bangladesh reported a high median concentration (50 mg/kg) of Zn in the vegetables (Abedin et al., 2021). Zn is a fundamental metal. It is essential for the development and growth of the body as it acts as a co-factor in different enzymatic reactions. Zn toxicity known as Zn toxicosis can lead to liver and kidney failure, anemia, bloody urine, and nausea (Ahmed et al., 2021).

In the case of Cu, the mean concentration varied in the range of 0.20–23.85 mg/kg in the vegetable samples with the highest Cu content present in sweet gourd. The Cu concentration in the vegetables decreased in the following order sweet gourd > banana > cauliflower > chili > tomato where the lowest content was found in jute leaf. The highest mean concentration of Cu was found at 16 mg/kg in brinjal (Islam et al., 2015c). Another study reported the concentration of Cu in the vegetables where the non-leafy vegetables possessed higher concentration in comparison to the leafy vegetables (Abedin et al., 2021). Cu is one of the essential micronutrients that play a significant role in the normal physiological functions of the human body. However, excess Cu exposure can induce toxicity and can cause lung and kidney damage (Ahmed et al., 2021).

Like Bangladesh, different studies from neighboring countries of Bangladesh like India (Gupta et al., 2021; Mawari et al., 2022), and Pakistan (Jehan et al., 2022) also showed various hazardous heavy metal contents in vegetables and other foodstuffs. The concentrations of different heavy metals especially Pd, Cd, and Cr were reported to exceed the safety levels in different vegetables.

3.4 Estimated daily intake of heavy metals

Heavy metals can be transported to humans through air, water, or through food ingestion. Through consuming contaminated vegetables, humans may get exposed to toxic heavy metals which can negatively impact their health. Thus, estimating the EDI of heavy metals from vegetables is an important way to assess the health hazards associated with vegetable consumption. The EDI of the heavy metals and their maximum tolerable daily intake (MTDI) have been reported in Table 3. EDI values of the vegetables were calculated using the mean concentration of each metal and their daily consumption rate. The total EDI of metals from all vegetables were below their MDTI level except for Pb which had the total EDI value of 0.073 in comparison with its MDTI value of 0.021. Total EDI values from all vegetables decreased in the following order: Zn > Mn > Cu > Ni Pb > Cr > Cd > As.

TABLE 3

VegetablesConsumption rate (g/day/person)AsPbCdCrMnNiZnCu
Bottle gourd95.13.5E-040.0032.1E-040.0010.0180.0050.2570.007
Bean95.12.6E-040.0012E-040.0010.0170.0020.0240.003
Bitter melon95.12.1E-040.0011.2E-040.0020.0020.0010.0080.003
Brinjal95.11.6E-046.7E-043E-040.0010.0070.0030.020.01
Cabbage95.14.5E-042.8E-047.5E-047.2E-040.005-0.03-
Carrot95.12.2E-047.5E-041.7E-049.8E-040.0050.0010.0160.003
Cauliflower95.11.7E-040.0011.7E-045.2E-040.0050.0010.020.011
Cucumber95.12.7E-045.8E-041.3E-047.1E-04-4E-040.0040.002
Green papaya95.13.8E-046.4E-042E-040.0010.0060.0020.0250.002
Okra95.11.8E-040.0012.3E-040.0020.0010.002-0.002
Pointed gourd95.11.6E-049.7E-041.8E-044.5E-040.0012.8E-040.0170.004
Pumpkin95.12.3E-040.0021.6E-040.0010.0080.0060.120.009
Radish95.11E-040.0012.5E-040.0030.0010.0010.0270.001
Tomato95.12.3E-040.0022.1E-040.0010.010.0010.1470.01
Sweet gourd95.11.1E-040.0021.4E-043.1E-044.1E-047E-050.0230.035
Banana95.11.5E-041E-049.5E-059.7E-04-0.0070.0570.022
Shapla stem95.1-6.1E-05-4.6E-04-2.3E-040.0030.001
Sponge gourd95.15.7E-041.2E-043.8E-040.001-0.001-4.3E-04
String bean95.16.6E-049.7E-042.2E-044E-04-2.3E-040.0320.004
Tesla gourd95.14.3E-055.4E-043.2E-044.8E-040.002---
Zucchuni95.1-0.0056E-050.003----
Stem amaranth95.1-0.0036.1E-050.002----
Gourd Spinach116.95.3E-040.0143.1E-040.0030.0780.0050.2660.008
Pumpkin spinach116.94E-040.0052E-040.0010.0350.0040.1140.009
Coriander116.93.6E-05--0.002-0.002--
Green amaranth116.94E-040.0036.5E-040.003-0.0070.0930.012
Indian spinach116.91.8E-041.6E-041.5E-042.7E-04-6.1E-04-5.8E-04
Jute leaf116.91.4E-044.8E-047.9E-050.002-0.0010.0263.6E-04
Red amaranth116.92.5E-040.0174.4E-040.0030.0110.0050.1140.01
Spinach116.95.5E-047.2E-044E-045.8E-040.0120.0020.0390.012
Alligator weed116.9-3.2E-049E-059E-05-0.003--
Arum116.92E-041.4E-047.5E-064.1E-04-3.6E-04--
Dhekishak116.9-1.7E-04-0.001-7.4E-040.0040.006
Drumstick leaf116.92.4E-047.2E-041.2E-043.2E-04-0.002-0.001
Helencha116.9-2.3E-04-0.002-7.8E-040.010.003
Kalmishak116.9-1.5E-04-7.3E-04-6.8E-040.0090.001
Malabar spinach116.93.9E-049.4E-047.2E-048.2E-04-2.6E-050.0540.006
Spinach amarantha116.91.3E-048.8E-049.7E-050.0010.0090.0010.0156.4E-04
Watercress116.9-6.8E-041.2E-044.3E-04-0.01--
Potato69.72.1E-046.6E-042.1E-047.4E-040.0030.0010.0180.004
Onion30.26.1E-052.9E-047.4E-053.1E-040.0032.6E-040.0010.001
Chilli8.62.5E-059.7E-052E-051.2E-040.0022.6E-040.0029.3E-04
EDI from all vegetables0.0090.0730.0080.0500.2410.0811.5930.205
MTDI0.130.0210.210.22–50.33060

Estimated daily intake (EDI) of heavy metals in vegetables with the corresponding maximum tolerable daily intake (MTDI) in the Bangladeshi population.

3.5 Noncarcinogenic risk of heavy metals

THQ is one of the most widely used methods for assessing the non-carcinogenic risks of being exposed to heavy metals. Calculating THQ values is important because a THQ value greater than 1 indicates that there are chances of developing non-carcinogenic health hazards from ingestion of these heavy metals. Table 4 shows the THQ values of the studied heavy metals and the TTHQ of the varieties of vegetable samples. The study findings present that except As and Pb all the heavy metals had a THQ value of less than 1 for all vegetable samples. TTHQ was found to be >1 for all the heavy metals except for Cr indicating that an individual may experience health hazards if they ingested these heavy metals from only consuming these vegetables. However, in a study by Shaheen et al., (2016), the authors found the TTHQ value of Cr and Ni > 1.

TABLE 4

FruitsAsPbCdCrMnNiZnCuTTHQ
Bottle gourd1.1520.7360.0719.6E-040.1280.240.8570.1763.361
Bean0.8580.2560.0669.6E-040.1180.090.0780.0861.553
Bitter melon0.710.2660.040.0010.0170.0520.0260.081.193
Brinjal0.5180.1910.18.1E-040.0490.1630.0620.2561.340
Cabbage1.5120.0790.2494.8E-040.037-0.099-1.976
Carrot0.7340.2150.0566.5E-040.0360.0560.0530.0681.218
Cauliflower0.5520.3130.0563.5E-040.0350.0560.0670.2831.363
Cucumber0.8930.1660.0434.7E-04-0.020.0130.0431.177
Green papaya1.2730.1830.0668E-040.0420.0860.0850.0541.790
Okra0.5890.3150.0780.0010.0080.1-0.0381.128
Pointed gourd0.5270.2760.0593E-040.0080.0140.0560.0921.032
Pumpkin0.7530.6880.0558.4E-040.0550.2780.3990.2232.451
Radish0.350.2890.0830.0020.0070.060.090.0250.906
Tomato0.7540.4340.078.1E-040.0690.0680.4910.252.137
Sweet gourd0.3590.4590.0462.1E-040.0030.0030.0760.8721.818
Banana0.5120.0290.0326.5E-04-0.3390.1910.541.644
Shapla stem-0.017-3.1E-04-0.0120.010.0370.076
Sponge gourd1.8970.0350.1286.7E-04-0.065-0.0112.137
String bean2.1870.2770.0722.6E-04-0.0120.1050.0982.751
Tesla gourd0.1430.1530.1083.2E-040.013---0.417
Zucchuni-1.4050.020.002----1.427
Stem amaranth-0.8160.020.002----0.838
Gourd Spinach1.7834.0210.1030.0020.5580.2270.8860.1957.775
Pumpkin spinach1.3341.5630.0679.5E-040.2470.2110.380.2144.017
Coriander0.120.01-0.001-0.088--0.220
Green amaranth1.3190.8810.2170.002-0.3050.310.2973.332
Indian spinach0.6010.04610.0511.8E-04-0.03-0.0150.744
Jute leaf0.480.1390.0260.001-0.0530.0880.0090.796
Red amaranth0.8414.8580.1450.0020.0790.2540.3790.2596.816
Spinach1.8380.2050.1323.8E-040.0860.1180.1310.2982.809
Alligator weed00.0920.036E-05-0.155--0.277
Arum0.6610.040.0022.7E-04-0.018--0.721
Dhekishak00.048-7.1E-04-0.0370.0130.140.239
Drumstick leaf0.7910.2050.0412.1E-04-0.104-0.0311.173
Helencha-0.067-0.001-0.0390.0330.0740.213
Kalmishak-0.042-4.9E-04-0.0340.0310.0270.134
Malabar spinach1.310.270.2395.5E-04-0.0010.1790.1562.155
Spinach amarantha0.430.2530.0328.7E-040.0680.0510.0510.0160.902
Watercress-0.1950.0362.9E-0400.522000.753
Potato0.7150.1880.0725E-040.0210.0520.060.1041.212
Onion0.2030.0830.0252.1E-040.0230.0130.0040.0310.382
Chilli0.0820.0280.0078E-050.0160.0130.0060.0230.174
TTHQ29.21020.8212.7480.0331.7214.0875.3105.122HI = 68.567

Target hazard quotient (noncarcinogenic risk) of heavy metals from consuming vegetables in Bangladesh.

TTHQ value was highest for As which was about 29 times more than the acceptable threshold. Exposure to inorganic arsenic (iAs) is a crucial health problem that hampers 140 million people worldwide. Acute iAs exposure leads to symptoms of diarrhea, vomiting, and nausea whereas chronic iAs exposure may increase the odds of developing non-malignant health effects in hepatic, neurological, and cardiovascular systems (Martínez-Castillo et al., 2021). Similarly, exposure to Pb induces non-carcinogenic adverse effects on the biological, neurological, and cognitive functions of the human body. The TTHQ value for Pb was around 20 times higher than the acceptable limit in the vegetable samples of the study.

The majority of the TTHQ values of the vegetable samples were >1 except radish, shapla stem, stem amaranth, kalmishak, tesla gourd, and onion. Red amaranth had the highest TTHQ value which implies significant health risk from its consumption. HI value expresses the combined noncarcinogenic effects of multiple metals. In this study, the HI was greater than 1 indicating that consumers may suffer from adverse health effects if they consumed all these vegetable samples. Consequently, consuming these vegetables is not considered safe and their regular consumption is not recommended.

3.6 Carcinogenic risk of heavy metals

The study presents the TRs of As, Pb, Cd, Cr, and Ni due to the consumption of the vegetable samples reported in Table 5. The TRs of the targeted metals were assessed as these metals may have carcinogenic effects depending on the ingestion dose. Previous studies show that exposure to these heavy metals can cause chronic poisoning in the body leading to immune system dysfunctions, vascular damage, and different types of cancer (Balali-Mood et al., 2021). The results show that TRs of As and Pb ranged from 3.7E-05 to 9.8E-04 and 3.1E-07 to 9.8E-04, respectively. Evidence suggests exposure to one or more metals simultaneously may have cumulative effects such as lead and arsenic poisoning both may cause combined damage to central nervous system injury (Balali-Mood et al., 2021). The study considered total TR > 10−4 to be unacceptable by following the standards set by the USEPA. Total TR values of As, Cd, Cr, and Ni exceeded the acceptable range which implies that a person may develop carcinogenic effects induced by these heavy metals upon consuming them. Carcinogenic metals like Cd, As, and Cr can damage the process of DNA synthesis and repair (Clancy et al., 2012; Koedrith et al., 2013). Likewise, another carcinogenic metal Ni can disrupt several internal mechanisms including oxidative stress, lung toxicity, and apoptosis (Latvala et al., 2016). Though other studies (Islam et al., 2014a; Islam et al., 2017; Islam et al., 2018) found the total TR value for Pb above the acceptable range in this study the total TR of Pb was within the limit. This indicates little or no Pb-induced carcinogenic effects from consuming these vegetables. The total TR of the metals ranked as Ni > Cd > Cr > As > Pb.

TABLE 5

VegetablesAsPbCdCrNi
Bottle gourd5.2E-042.2E-050.0015.9E-040.004
Bean3.9E-047.6E-060.0015.9E-040.002
Bitter melon3.2E-047.9E-067.4E-046.2E-049.4E-04
Brinjal2.3E-045.7E-060.0025E-040.003
Cabbage6.8E-042.4E-060.0053E-04-
Carrot3.3E-046.4E-060.0014E-040.001
Cauliflower2.5E-049.3E-060.0012.1E-040.001
Cucumber4E-044.9E-067.9E-042.9E-043.6E-04
Green papaya5.7E-045.4E-060.0014.9E-040.002
Okra2.6E-049.4E-060.0016.7E-040.002
Pointed gourd2.4E-048.2E-060.0011.8E-042.5E-04
Pumpkin3.4E-042E-050.0015.2E-040.005
Radish1.6E-048.6E-060.0020.0010.001
Tomato3.4E-041.3E-050.0015E-040.001
Sweet gourd1.6E-041.4E-058.5E-041.3E-046.4E-05
Banana2.3E-048.7E-075.8E-044E-040.006
Shapla stem-5.2E-07-1.9E-042.1E-04
Sponge gourd8.5E-041E-060.0024.1E-040.001
String bean9.8E-048.3E-060.0011.6E-042.1E-04
Tesla gourd6.4E-054.6E-060.0022E-04-
Zucchuni-4.2E-053.7E-040.001-
Stem Amaranth-2.4E-053.7E-040.001-
Gourd Spinach8E-040.000120.0020.0010.004
Pumpkin spinach6E-044.6E-050.0015.8E-040.004
Coriander5.4E-05--8.7E-040.002
Green amaranth5.9E-042.6E-050.0040.0010.006
Indian spinach2.7E-041.4E-069.4E-041.1E-045.5
Jute leaf2.2E-044.1E-064.8E-047.7E-049.6
Red amaranth3.8E-041.4E-040.0030.0010.005
Spinach8.3E-046.1E-060.0022.4E-040.002
Alligator weed-2.8E-065.5E-043.7E-050.003
Arum3E-041.2E-064.6E-051.7E-043.3
Dhekishak-1.4E-06-4.4E-046.8E-04
Drumstick leaf3.6E-046.1E-067.4E-041.3E-040.002
Helencha-2E-06-7E-047.1E-04
Kalmishak-1.2E-06-3E-046.1E-04
Malabar spinach5.9E-048E-060.0043.4E-042.4E-05
Spinach amaranth1.9E-047.5E-065.9E-045.4E-049.2E-04
Watercress-5.8E-066.6E-041.8E-040.009
Potato3.2E-045.6E-060.0013E-049.4E-04
Onion9.1E-052.5E-064.5E-041.3E-042.4E-04
Chilli3.7E-058.2E-071.2E-044.9E-052.3E-04
Total TR0.0136.2E-040.050.020.073

Target carcinogenic risk (TR) of heavy metals due to consumption of vegetables in Bangladesh.

3.7 Limitations and recommendations for future work

The present study has some limitations. Firstly, the study included results from two electronic databases only which might cause the missing out of some of the relevant literature from other databases. However, the results of Google Scholar alone can provide sufficient literature for systematic reviews and meta-analyses (Gehanno et al., 2013). Secondly, the study results summarized the findings of studies conducted in the industrial, non-industrial, and polluted areas of Bangladesh. Thus, it would be difficult to generalize the results as the real scenario of the vegetables of the country. The review did not assess the methodological quality of the included studies. Nonetheless, we reviewed the quality assurance methods and analysis methods of the studies. Moreover, as heavy metals-related studies are conducted frequently in Bangladesh, further review studies might be imperative to cover the latest publications beyond our searching period. Despite these limitations, the study revealed important findings by providing an overview of the present heavy metal contents in Bangladeshi vegetables and their potential health risks. The findings will help to develop policies regarding the contamination management strategies of heavy metals and regulations to protect the environment from different heavy metal pollution. Future studies may focus on identifying area-specific potential sources of heavy metals in vegetables and their possible entry roots in the food supply chain. Prospective research on heavy metals in vegetables may include a detailed description of the sample, along with a detailed sampling strategy and quality assurance methods for increasing the reliability of the results.

4 Conclusion and recommendation

The review presented an overview of the heavy metal concentrations present in Bangladeshi vegetables along with their potential associated health risks. The heavy metal concentration varied widely with different vegetables and almost all the vegetable samples except for Ni exceeded the maximum allowable concentration of the heavy metals. TTHQ values were >1 for all the eight heavy metals except Cr and the total TR value was above the safe limit for As, Cd, Cr, and Ni. As vegetables are one of the major components of the habitual Bangladeshi diet it is crucial to maintain their quality. Consumption of these contaminated vegetables can pose a major threat to the public health of the Bangladeshi population. A more integrated approach to regularly investigate the edible portions of vegetables for heavy metals and strategies to reduce the contamination burden is paramount to conserve the overall health of the population.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Author contributions

AN: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Writing–original draft, Writing–review and editing. MH: Conceptualization, Data curation, Formal Analysis, Methodology, Software, Writing–original draft, Writing–review and editing. SI: Conceptualization, Methodology, Supervision, Writing–original draft, Writing–review and editing. AJ: Formal Analysis, Methodology, Visualization, Writing–original draft, Writing–review and editing. MN: Formal Analysis, Methodology, Visualization, Writing–original draft, Writing–review and editing.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The publication fee was provided by the University of Dhaka, Bangladesh.

Acknowledgments

The authors gratefully acknowledge the financial support from the University of Dhaka, Bangladesh to cover the APC.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Summary

Keywords

heavy metal, public health risk, food safety, vegetable, Bangladesh, systematic review

Citation

Nowar A, Islam MH, Islam S, Jubayer A and Nayan MM (2024) A systematic review on heavy metals contamination in Bangladeshi vegetables and their associated health risks. Front. Environ. Sci. 12:1425286. doi: 10.3389/fenvs.2024.1425286

Received

15 May 2024

Accepted

15 July 2024

Published

08 August 2024

Volume

12 - 2024

Edited by

Nsikak U. Benson, Topfaith University, Nigeria

Reviewed by

Jingxin Huang, Yunnan Normal University, China

Lucy Semerjian, University of Sharjah, United Arab Emirates

Updates

Copyright

*Correspondence: Md. Hafizul Islam,

ORCID: Abira Nowar, orcid.org/0000-0002-8772-3679; Md. Hafizul Islam, orcid.org/0000-0002-7803-0985; Saiful Islam, orcid.org/0000-0002-0424-7719; Ahmed Jubayer, orcid.org/0000-0001-8369-8413; Md. Moniruzzaman Nayan, orcid.org/0000-0002-0505-1080

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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