Introduction

As a typical carbohydrate food crop, cassava grows in soils with marginal nutrition (Aerni 2006). Fresh cassava root contains 75–80% moisture, 0.70–2.50% ash, 1.0% fibre, 0.1% fat and 2–3% protein and 32–35% carbohydrate (Abass et al. 2018). Cassava roots also contain small amounts of β-carotene, iron and zinc (Gegios et al. 2010). If not properly processed, fresh cassava root undergoes fast spoilage within 48 to 72 h due to its high moisture content (Ashaye et al. 2005; Awoyale et al. 2018). Processing the roots into various products increases the shelf life and makes transportation to urban markets less expensive (Taiwo 2006). Cassava is processed and consumed in different forms in sub-Saharan Africa (Duah et al. 2016). The processing method includes extracting starch, boiling and pounding, roasting/toasting, drying and milling into flour, fermenting, and peeling (Duah et al. 2016). In Ghana, cassava is consumed as a dried milled product known as kokonte, gari and fufu (Kleih et al. 2013). Fufu is a popular traditional food for most Ghanaians, especially among the Ashanti’s (Egyir and Yeboah 2009). It is prepared from the combination of boiled cassava with plantain or cocoyam or cassava alone through pounding in a mortar with a pestle (Otoo et al. 2018).

Heavy metal pollution is one of the major concerns for food safety and security due to its severe detrimental effects on human health and the environment (Motesharrei et al. 2016). Heavy metals enter food through soil, water for agricultural irrigation and materials used during food processing (Huang et al. 2018; Islam et al. 2018). The presence of heavy metals results in plant accumulation and the intake of contaminated food results in their biomagnification in the human body and are associated with an increased risk of neurological, kidney and cardiovascular diseases (Yang et al. 2019). For optimum yield, cassava requires essential nutrients (iron, manganese, nickel, copper, zinc, chromium, etc.) in trace amounts. Cultivation of food crops in soils contaminated by heavy metals results in their accumulation in the edible parts, which humans later consumed (Amin et al. 2013). Cassava, like most plants, tends to bioaccumulate heavy metals in soil, which can then be transferred up the food chain (Kigigha et al. 2018).

Contamination of food by heavy metals has become an unescapable yield of modern technology, although modern technology has contributed significantly to economic growth over the years (Dabonne et al. 2010). A study carried out on processing equipment revealed that Hg, Cr, Fe, Mn, Pb, Zn, Co, Ni and several other metals often appear in processed food, but their concentrations vary (Elekofehinti et al. 2012). Several metals, including Ni, Fe, Mn, Cu and Zn in foodstuffs, are vital for biological functions in low concentrations, but excessive concentrations can cause metabolic anomalies (Linder 1991). Heavy metals contamination in gari (Awoyale et al. 2018; Dibofori-Orji and Edori 2015; Kigigha et al. 2018), dried cassava products from Nigeria (Abass et al. 2018), Cassava Tubers, Ogun State, Nigeria (Makanjuola 2016) and fufu, Kumasi-Ghana (Ankar-Brewoo et al. 2020) have been reported from various parts of sub-Saharan Africa. A study carried out on processing equipment revealed that mercury, chromium, iron, manganese, lead, zinc, cobalt, nickel and other metals appear in processed food every day, but concentrations vary greatly (Elekofehinti et al. 2012). The time-consuming and laborious preparation of fufu gradually decreases its consumption in the homes of most career women and men (Johnson et al. 2006; Otoo et al. 2018). Due to lifestyle changes, fufu pounding has been commercialized into processing packages and mechanized within several Ghana communities, including the Ashanti Region. Fufu pounding machines are generally made from steel (Yahaya et al. 2010). Due to the possibility of the mill leaching components to the food or through heavy metal intake from contaminated soil, there is the need to evaluate the concentrations of heavy metals in fufu. This study was carried out because of the lack of data on health risks posed by heavy metals (Fe, Zn, Cr, Mn and Ni) through fufu intake, particularly those processed from mechanized pounding machines in the Ashanti region of Ghana.

Materials and methods

Study area

The research was carried out in five communities around the Kwame Nkrumah University of Science and Technology (KNUST) in the Kumasi Metropolis. Kumasi is in the rainforest region and is about 250 km north of Accra, the Capital city of Ghana. It lies between longitude 1.30° – 1.35° and latitude 6.35° – 6.40° with an elevation range from 250 to 300 m above sea level. The communities are Ayigya, Ayeduase, Bomso, Kentikrono and Kotei. These places were selected because of their high patronage by the KNUST community.

Sampling and preparation

A total of 30 milled and un-milled fufu ingredients (boiled cassava and plantain) were sampled from five communities around KNUST campus in the Ashanti Region. Six of these samples (before and after milling) were collected from three patrons at each fufu milling site into Zip-lock bags, wrapped in polyethylene bags, transported to the laboratory, and kept at ambient temperature. Unmilled samples were separated and homogenized using porcelain mortar and pestle to serve as controls.

Wet acid digestion of fufu samples

Wet acid digestion was employed to isolate the metals in the food samples from their complex matrices before assessing them with the Atomic Absorption Spectroscopy (AAS). Each 1.0 g of food sample was digested by heating with a digestion mixture containing concentrated nitric, perchloric and sulphuric acids in a ratio of 2:2:5 in a 50 mL digestion tube. Each sample mixture was evaporated on a hot plate in a fume hood at 200 °C for 30 min until the brown fumes disappeared, leaving the white fumes. The clear digests were cooled and diluted with distilled water to the 50 ml mark. Digestion of a reagent blank was carried out parallel with the fufu samples, with the same digestion parameters. Appropriate dilutions were made with deionized water. The heavy metals were analysed using Flame Atomic Absorption Spectrophotometer (Model: novAA400P, Germany). The instrument was equipped with a deuterium lamp corrector and standard air acetylene flame. The mean and relative standard deviations (RSDs) of the spike recoveries for the triplicate analyses were determined (Table 1).

Table 1 Linear range, linearity, recovery, limit of detection (LOD) and limit of quantification (LOQ) for the target heavy metals

Health risk assessment

Iron is an essential element required in the blood pigment to help transport oxygen to all parts of the body; however, its excessive intake poses risk to human health (Osweiler et al. 1985). Similarly, Zn is an essential element that helps wound healing and blood clotting, but its intoxication is known to damage the pancreas, disturb protein metabolism, and cause arteriosclerosis (WHO 1973). The heavy metal concentrations were used to compute the estimated daily intake of metals (EDI) and hazard quotient (HQ) via fufu intake. Risk assessment is a tool for assessing the likelihood of health conditions or diseases in living organisms exposed to a toxic medium over time. The chronic EDI relating to heavy metal exposure for fufu consumption was calculated according to the following equation (USEPA 1989, 2020):

$$\mathbf{EDI}=\frac{\boldsymbol{IR}\ \mathbf{x}\ {\boldsymbol{C}}_{\boldsymbol{i}}\ \mathbf{x}\ \boldsymbol{EF}\ \mathbf{x}\ \boldsymbol{ED}}{\boldsymbol{BW}\ \mathbf{x}\ \boldsymbol{AT}}$$

where IR is the daily (0.408 kg/day) fufu consumption rate in Ghana (MFA 2010), Ci is the concentration of heavy metal, EF is the exposure frequency (i.e., 365 days/year), ED is the exposure duration (i.e., 70 years) (Bortey-Sam et al. 2015), BW is the bodyweight of 60 kg (Qing et al. 2015) and AT is the average time of exposure (i.e., 25,550 days) (Bortey-Sam et al. 2015).

The non-carcinogenic health risk assessment for local communities via fufu intake was determined based on HQ for a single element (Eq. 2) and hazard index (HI) for multiple elements (Eq. 3) (USEPA 1989).

$$\mathrm{HQ}=\frac{\mathrm{EDI}}{\mathrm{RfD}}$$

where RfD is the oral reference dose of heavy metal. RfD for Fe and Zn are 0.7 and 0.3 mg/kg/day, respectively (USEPA 2015). Exposed population consuming fufu in the study area could be safe during a lifetime, when HQ is < 1 (USEPA 1989).

The overall non-carcinogenic health risk posed to individuals by heavy metals via fufu intake was evaluated as (USEPA 1989):

$$\mathrm{H}\mathrm{I}=\sum \mathrm{H}{\mathrm{Q}}_{\mathrm{i}}$$

HI ≥ 1 indicates a chance of non-carcinogenic effects, with an increasing likelihood as the value increases, while HI ≥ 10 indicates chronic toxic effects (Akoto et al. 2014).

Statistical analysis

All statistical analyses were performed using IBM Statistical Package for Social Science software for windows (IBM Corp 2011). Pearson’s correlation coefficient was used to determine the association between the heavy metals (Kirch 2008). A Probability level of p < 0.05 was considered statistically significant.

Results and discussion

Quality assurance/quality control

As listed in Table 1, the mean and relative standard deviations (RSDs) of the spike recoveries for the triplicate analyses were 92.36 ± 6.90% and 94.58 ± 9.32% for Zn and Fe, respectively. All the values were under the recommended control limits of 80–120% for laboratory control sample recovery and ≤ 15% RSD. These results showed that the analytical method possesses the required precision and accuracy. The limit of detection (LOD) was 0.27 and 0.16 mg kg− 1 for Zn and Fe, respectively, while the limit of quantification (LOQ) was 0.39 and 0.25 for Zn and Fe, respectively. The calibration curves for both metals showed good linearity in the concentrations range of 5 × 10− 4 and 5 mg L− 1 with R2 ranged between 0.9998 and 0.9999, which were greater than the acceptable limit (0.998) for the linearity of regression line.

Heavy metal concentration

Table 2 summarises the heavy metal concentrations in fufu from the study area. The results showed that Cr, Ni and Mn were below the detection limit. The mean concentration of Fe in the un-milled fufu samples ranged between 0.554 and 3.376 mg/kg at the various communities. Zn concentration in the un-milled fufu ranged between 0.090 and 5.166 mg/kg. The milled fufu had Fe and Zn levels ranging from 2.817 to 7.297 and 0.753 to 7.529 mg/kg, respectively. The results show an increase in Fe and Zn concentration after milling, indicating that the locally fabricated fufu pounding mill added some metal concentrations due to friction, wearing and tearing of the grinding plate as the food samples come in contact (Yahaya et al. 2010). External factors including, anthropogenic sources, can contribute to the uptake of heavy metals by cassava grown at the different sampling sites. The levels of Fe recorded for all the analysed samples were below the Food and Agriculture Organization (FAO)/World Health Organization (WHO) recommended limit (FAO/WHO 2006), indicating minimal risk of Fe intoxication from consumption of these sources. Mean Zn concentration obtained for the sample from Bomso was above the allowable limit set by FAO/WHO for Zn. Samples from all the other communities produced Zn concentrations below the FAO/WHO permissible limit.

Table 2 Levels of Fe and Zn in fufu samples before and after milling

Statistical analysis of heavy metals in fufu

The results revealed that the study area had a significant positive correlation (p < 0.05) between the concentration of Zn before and after milling (Table 3). The weak positive correlation of Fe and Zn indicated the different sources of pollution and the independence on the heavy metal concentrations in all the communities under study.

Table 3 Correlation for Zn and Fe concentration in fufu samples before and after milling

These groups represent similarities in the origins of heavy metals. To study the qualitative nature of clustering, principal component analysis (PCA) with two components was applied. The PCA of heavy metals shows two components extracted with 88.924% cumulative percent of the total variance (Table 4).

Table 4 PCA for Zn and Fe concentration in fufu samples before and after milling

Out of this, the contribution of factor 1 (PC 1) was 49.188% of the total variance with high loadings of Zn before and after milling. PC 2 contributed 39.736% of the total variance with Fe loading before and after milling. PCA analysis indicates a probability that both Zn and Fe before and after milling come from a similar source.

Health risk assessment

Risk assessment was carried to quantitatively evaluate the likely health risks posed to fufu consumers of Ayigya, Bomso, Ayeduase, Kotei and Kentikrono based on daily dietary intake of heavy metals. Cumulative health effects from the contamination of heavy metals were assessed using HI, which is the sum of HQ values. Results for the EDI, HQ and HI of heavy metals are summarised in Table 5.

Table 5 Estimated daily intake and hazard quotient and hazard index values for non-carcinogenic assessments for Zn and Fe in fufu samples

The amount of Zn and Fe ingested in the studies samples was significantly less, as revealed by the estimated daily intake values obtained (Table 4). EDI values ranged from 0.019 to 0.050 mg/kg/day for Fe and 0.005 to 0.051 mg/kg/day for Zn. Based on EDI values for Fe (17 mg/kg/day) and Zn (20 mg/kg/day), set by Codex Alimentarius Commission (Åkesson et al. 2015), the levels of EDI for Zn and Fe in fufu do not pose adverse effects to human health. Fe recorded HQ in the range of 0.027 to 0.071, while Zn recorded HQ values in the range of 0.017 to 0.171. HI ranged from 0.071 to 0.222. The HQ and HI of each heavy metal in fufu were < 1, which indicate that daily exposure is unlikely to pose adverse non-carcinogenic effect on human health due to these heavy metals. Therefore, at the current consumption rate, heavy metals do not pose any considerable individual or combined health risk to the consumers in the studied communities. However, it should be noted that prolonged consumption could lead to extreme accumulation of Zn and Fe in the body and cause related health problems. Residents living in these communities and other neighbouring communities should be encouraged not to consume large quantities of milled fufu per day to minimize or avoid excessive accumulation of these potentially toxic heavy metals.

Questionnaire administration outcome

A survey-based on structured questionnaires was conducted to assess consumers’ and mill operators’ knowledge on the potential of heavy metal exposure due to mechanical milling of fufu. A total of 30 respondents comprising of 5 operators/owners and 25 patrons took part in the survey. The implication of the responses was considered. Ayeduase, Kotei, Bomso, Kentikrono and Ayigya were the communities where owners/operators and patrons were interviewed. Six respondents were selected from each community.

Gender and age distribution

Almost all the respondents interviewed were females, contrary to a study conducted in Pakistan (Zeeshan et al. 2017). Considering most respondents, 50% were between ages 26 and 35, 33% were between 16 to 25 years and 17% were between 35 to 55 years of age. This indicates that respondents of 26–35 years could largely be exposed to these heavy metals if safety precautions are not taken.

Educational background

The highest educational level of the respondents was Senior High School (SHS). The distribution was 46% for SHS. Respondents with Junior High School (JHS) education were 37%. Only 17% (five of the respondents: two from Ayigya, two from Kotei, and one from Kentikrono) were of primary education status. Bomso had the highest number of respondents with SHS education.

Knowledge about the chemical composition and potential exposure to heavy metals due to milling

Since the educational section of the structured questionnaires revealed that all the respondents acquired some level of education, their knowledge on the chemical composition of mechanical mills and the potential of heavy metal exposure due to the milling of fufu was evaluated based on their level of education like food safety knowledge during handling and preparation conducted among consumers in Pakistan (Zeeshan et al. 2017). Despite the level of education, all the respondents did not exhibit any knowledge no the potential of heavy metal exposure due to mechanical milling of fufu. They are also unaware of the chemical composition and the risk of hazardous chemical release during milling.

Most of the respondents do not see the need for knowledge of chemical composition. Some of the respondents also claim that cleaning the mill after daily activity prevents harmful chemicals. The level of knowledge on the mill’s chemical composition and the potential of heavy metal exposure due to mechanical milling of fufu is bound to be low if they are not given adequate training.

Conclusion

The study determined the concentrations of heavy metals in mechanically milled fufu, the potential health risk to consumers, and the awareness of potential exposure to those metals through fufu milling. The outcome revealed an increase in Fe and Zn concentration after milling, where fufu pounding mills could have released Fe and Zn metal to the fufu samples. Fe and Zn levels in the milled fufu were in the range of 2.817 to 7.297 and 0.753 to 7.529 mg/kg compared to the levels 0.354 to 3.376 and 0.090 to 5.166 mg/kg, respectively recorded before milling. These concentrations were below the FAO/WHO allowable limit of 15 and 5 mg/kg respectively for Fe and Zn, except for an isolated case of high Zn concentration at Bomso (7.529 mg/kg). The EDI of Zn and Fe was lower than the International Food Standards’ (Codex Alimentarius) acceptable daily intake of 17 and 20 mg/day, respectively. The HQ and HI of heavy metals were below the USEPA permissible limits of 1, indicating no potential risk to consumers. An indication that it is generally safe for consumers in the study area to patronise mechanically milled fufu. The survey also revealed consumers’ lack of awareness of the potential of heavy metal exposure due to mechanically milled fufu.