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Original article
10 (
7
); 906-913
doi:
10.1016/j.arabjc.2016.09.012

Determination of macro, essential trace elements, toxic heavy metal concentrations, crude oil extracts and ash composition from Saudi Arabian fruits and vegetables having medicinal values

Department of Chemistry, North Carolina A&T State University, Greensboro, NC 27411, USA
A. R. Smith Department of Chemistry, Appalachian State University, 525 Rivers St, Boone, NC 28608, USA

⁎Corresponding author. sofakayo@ncat.edu (Sayo O. Fakayode)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

The concentrations of essential elements (Mg, Ca, Na, K, Fe, Zn, Se, Al, Ni, and Cu) and toxic heavy metals (Pb, As, Cr, Cd, and Cr) from Saudi Arabian fruits and vegetables were determined by inductively coupled plasma optical emission spectrophotometry (ICP/OES). Two types of butters, Caralluma munbayana and Caralluma hesperidum, Vigna (Vigna unguiculata), common fig (Ficus carica), Annona seeds (Annonaceae seeds), Annona fruits (Annonaceae fruits), Fennel (Foeniculum vulgare), and Fennel flowers (Nigella sativa) were investigated, because they are used by indigenous groups as traditional medicines with Soxhlet-extraction and dry-ashing protocol. The estimated daily dietary element intake in food samples was further calculated in order to evaluate the element dietary intake and fruit and vegetable consumption pattern of the indigenes of Saudi Arabia. The crude oil and ash compositions varied widely, but suggested that most of the foods were good sources of oils and minerals. The figures-of-merit of the ICP-OES calibration curves were excellent with good linearity (R2 > 0.9921). The use of ICP-OES in this study allowed the accurate analysis and the detection of the elements at low levels. Essential elements (K, Ca, Na, and Mg) had the highest concentrations while toxic heavy metals (As, Pb, and Cd) had the lowest in the foods. Essential element pairs (Mg-Na, Mg-Ca, Fe-Al) were highly correlated, suggesting that these foods are sources of multiple nutrients. Toxic element pairs (Pb-Cd, Pb-As, and Cd-As), however, were poorly correlated in the foods, suggesting that these elements do not have a common source in these foods. Average consumption of these foods should provide the recommended daily allowances of essential elements, but will not expose consumers to toxic heavy metals. The ICP-OES method was validated by determining method detection limits and percent recoveries of laboratory-fortified blanks, which were generally 90–100%.

Keywords

Chemical-elements-analysis
Food-quality-assurance
Inductively-coupled-plasma-emission-spectroscopy
Inter-element-association
Daily-dietary intake-estimate
Saudi-Arabian-foods
1

1 Introduction

Fruits and vegetables continue to be the major sources of nutrients, including proteins, vitamins, macro and essential trace elements, and minerals in human diet for proper growth, body development, and maintenance of overall health and well-being (CMNRIM,1999; NCI, 1986; NRC, 1989; WCRF, 1997). For instance, Ca and Mg are macro elements that are necessary for proper development of bone and structural tissue formation and play important roles in glucose and protein absorption and metabolism (Agarwal et al., 2011). Ca and Mg are also involved in the regulation and dilation of blood vessels and a regular heartbeat (Agarwal et al., 2011). Deficiency of Ca and Mg has been widely associated with weak bones and structural connective tissue formation, hypertension, and poor glucose absorption and utilization (Kosch et al., 2001). Iron (Fe) is a vital component of heme proteins, hemoglobin, and myoglobin (Fraga, 2005) required for oxygen transportation, proper cellular metabolism, glucose metabolism, and vascular functions (Fernandez-Real et al., 2002). Fe deficiency in humans has been shown to lead to a host of health issues such as a weakened immune system, inhibition of hemoglobin synthesis, which leads to anemia, insomnia, and other health related complications (Tapiero et al., 2001).

Other essential trace elements such as Zn, Cu, Mn, and Se also play important roles in maintaining proper human health. For instance, Zn is an important element in the human body, serving as a cofactor in a number of enzymatic reactions and responses such as metallo-enzymes for carboxyl peptidase, liver alcohol dehydrogenase, and carbonic anhydrase (Prasad, 2012). Copper is a coenzyme and crucial cofactor in Fe utilization, collagen amalgamation, and concealment of free radicals, and required for redox chemical cytochrome oxidase (Arredondo and Nú̃nez, 2005; Naismith et al., 2009). Manganese is needed for the immune system and effective food metabolism, serves as a cofactor in numerous enzymatic responses, and aids in blood clotting and hemostasis (Smith et al., 2013). Selenium is essential for chemical responses for glutathione and thyroxine and has also been shown to have anticancer effects (Bangladesm et al., 2016). Nickel (Ni) is moderately required for proper absorption of Fe in the body (Gupta and Gupta, 2014). In addition to macro and essential trace elements, fruit and vegetables also contain high concentrations of essential oils, phenolics, antioxidants, and pharmacologically active agents with therapeutic effects for the treatment of several diseases such as cancer, diabetes, ulcers, asthma, common cold, and gastrointestinal diseases (Saini et al., 2015). Studies have shown several benefits of a balanced diet such as proper body weight, improved immunity against various diseases including diabetes, stroke, cardiovascular and heart diseases, cancers, and high blood pressure (CMNRIM, 1999; NCI, 1986; NRC, 1989; WCRF, 1997) that incorporate regular and adequate consumption of fruits and vegetables into the human diet.

Despite the important roles that macro and trace elements play in human health, little is known about the elemental composition and nutritional values of numerous fruits and vegetables in many parts of the world. Most importantly, fruits and vegetables may be inadvertently contaminated with chemicals of environmental concern and potentially toxic heavy metals such as Hg, Cd, As, Pb, and Cr. Fruits and vegetables can potentially be contaminated through environmental pollution, industrial activity or the absorption of heavy metals from contaminated soils, industrial effluent, or contaminated irrigation water (Davydova, 2005; Hu et al., 2013; IRAC, 2006; Zaidi et al., 2005). For instance, varying concentrations of heavy metals have been detected in several food items including beverages, juices, wines, and several food products in both developed and developing countries (Al-Ahmary, 2009; Bua et al., 2016; Goldhabe, 2003; Hu et al., 2013; IRAC, 2006; Licata et al., 2012; Sharma et al., 2009; WHO, 1992; Vadalà et al., 2016; Zaidi et al., 2005). In contrast to macro and essential trace elements, heavy metals have no nutritional value. Heavy metals can also be uptaken, bioaccumulated, and biomagnified in human organs and animal tissues via the food chain and trophic level (Bella et al., 2015; Hu et al., 2013; Naccari et al., 2015; Rodriguez-Iruretagoiena et al., 2015; Salvo et al., 2016; Salvo et al., 2014).

Two types of butters (Caralluma munbayana and Caralluma hesperidum), Vigna (Vigna unguiculata), common fig (Ficus carica), Annona seeds (Annonaceae seeds), Annona fruits (Annonaceae fruits), fennel (Foeniculum vulgare), and fennel flowers (Nigella sativa) were investigated in this work. Although widely cultivated throughout the world, they are mostly consumed in Saudi Arabia, The Middle East, Africa, Spain, West Asia, Europe, China, Turkey, India, and tropical America. In addition, they are used as traditional medicines for the treatment of various diseases in many countries. For instance, Annona (Annonaceae) is used by Arabians as an indigenous therapy for the treatment of cancer disease (Ernhart et al., 1988). Previous studies have also shown the potential application of Annona leave extracts for the treatment of food-borne bacterial diseases and antitumor activity (Chen et al., 2012). Other pharmacological, phenolics, flavonoids, and antioxidant activities of Annona and common fig extracts have been reported (Gajalakshmi et al., 2011; Veberic et al., 2008). Butter has a bitter taste and is mostly used by Saudis and Arabians to regulate blood sugar levels and for the treatment of diabetes. Common fig (Ficus carica) is used by the indigenes for the treatment of constipation. Fennel flower (N. sativa) is commonly used as a food additive and also used to treat asthma, the common cold, scorpion bites, and other skin wounds. Fennel flower also has other cultural and religious values in The Middle East and Arabian countries including Saudi Arabia. Fennel (Foeniculum vulgare) is mostly used by Saudis for the treatment of food indigestion problem, bloating, gas accumulation, and colic problems. Vigna (Vigna unguiculata) is used by Saudis for the treatment of cardiovascular and heart diseases.

Distribution of foods and agricultural produce is global and is not limited by borders. The need for effective monitoring and mapping of heavy metal concentrations in food products is therefore not only an environmental, food and agricultural concern, but also a global public health and safety concern. Many health-related issues including cancers, cardiovascular problems, depression, hematic, gastrointestinal and renal failure, osteoporosis, tubular and glomerular dysfunctions have been directly linked to high levels of heavy metals in humans (ASTDR, 2005; EFSA, 2012; Fewtrell et al., 2003; Steenland and Boffeta, 2000; WHO, 2010; Vogtmann et al., 2013). Infants, children, and adolescents are particularly more susceptible to heavy metal poisoning, resulting in improper developmental challenges and low intelligent quotients (Ernhart et al., 1987; Schwartz, 1994; Ernhart et al., 1988; Dapul and Laraque, 2014).

It is therefore imperative to focus on proper food quality assurance and quality control protocols that ensure the intake of adequate amounts of essential trace elements and prevent the consumption of toxic heavy metals from food products. Flame atomic absorption spectroscopy (FAAS) is the most commonly used conventional method of chemical elements analysis (Latimer Jr., 2012; Watson, 1994). However, FAAS suffers from poor detection limit, hindering its use for detection of elements at ultra-low concentrations in food samples. Keeping in mind the health implications of acute and chronic exposure to toxic elements such as As, Cd, Cr, Ni, and Pb in humans, the use of a more efficient, accurate, and sensitive analytical protocol that is capable of detecting these elements at trace and ultra-trace levels in food is required. Consequently, an inductively coupled plasma optical emission spectroscopy (ICP-OES), which has better detection limits for many elements compared to FAAS was used for chemical element analysis. The goal of this study was to determine the levels of macro and essential trace elements (Mg, Ca, Na, K, Fe, Zn, Se, Al, Ni, and Cu) nutrients and toxic heavy metals (Pb, As, Cr, Cd, and Cr) in selected fruits and vegetables (Common fig (Ficus carica), Annona seeds (Annonaceae seeds), Annona fruits (Annonaceae fruits), Butter 1 (Caralluma munbayana), Butter 2 (Caralluma hesperidum), Fennel (Foeniculum vulgare), Fennel flowers (N. sativa), and Vigna (Vigna unguiculata)) using inductively coupled plasma optical emission spectrophotometry (ICP-OES). A linear regression analysis was utilized to determine the inter-element association in the food samples. The estimated daily dietary element intake in fruits and vegetables samples was further calculated in order to evaluate the element dietary intake and fruit and vegetable consumption pattern of the indigenes of Saudi Arabia. The percent crude oil extract and ash compositions of the food products were further determined by Soxhlet petroleum ether extraction and furnace dry ashing protocols, respectively.

2

2 Experimental

2.1

2.1 Material and methods

2.1.1

2.1.1 Food samples, sample collection, and sample preparation

Several fruit and vegetable samples—Common fig (F. carica), Annona seeds (Annonaceae seeds), Annona fruits (Annonaceae fruits), Butter 1 (C. munbayana), Butter 2 (C. hesperidum), Fennel (F. vulgare), Fennel flowers (N. sativa), and Vigna (V. unguiculata)— were collected in the summer of 2015 in Saudi Arabia. The fruit and vegetable samples were either sun or oven dried (Fisher Scientific Isotemp oven) at 55 °C to remove moisture in order to prevent food decay and microbial activity. The dried samples were subsequently grounded in a clean mortar and pestle and stored in pre-nitric acid washed and dried polyethylene bags prior to any further laboratory analysis.

2.1.2

2.1.2 Acid digestion of fruits and vegetables

The element concentrations in the food samples were determined using a standard analytical procedure (Latimer Jr., 2012; Watson, 1994). In brief, approximately 5 grams of the dried and ground sample was digested with 23 mL 6 M HNO3 (trace element grade, Fisher, NY) in a digestion flask for approximately 8 h in order to ensure a complete sample digestion. The digested samples were cooled to room temperature, filtered with Whatman filter paper, and diluted to the mark with triply deionized water (Thermo Scientific, GenPure UV-TOC/UF, Hungary) in a 25-mL volumetric flask.

2.1.3

2.1.3 Analysis of digests using ICP-OES

Two multi-element stock solutions containing 100 μg/mL As, Cd, Co, Cr, Cu, Ni, Pb, Se, and Zn (SCP Science) and 5,000 μg/mL Ca, Mg, K, and Na (Environmental Express), along with individual single-element stock solutions containing Al, Fe, and Mn (SCP Science) were used to prepare calibration standards. The internal standard was prepared from 10,000 μg/mL Y (SCP Science). Calibration standards were diluted with 2% (v/v) HNO3 prepared from PlasmaPure nitric acid (SCP Science) and water with a resistance of at least 18 ohms from a Barnstead Nanopure system. Calibration standards contained 0.01–5 mg/L Al, As, Cd, Cr, Cu, Ni, and Pb; 0.1–20 mg/L Fe and Mn; and 5–50 mg/L Ca, K, Mg, and Na. Samples that exceeded the concentration of the highest standard were diluted and re-run.

All digests were analyzed on a simultaneous Varian 710 ES axial ICP-OES with CCD detector. A Cetac autosampler with 15-mL sample tubes was connected to the peristaltic pump. A Burgener Teflon Mira Mist® nebulizer (SCP Science) and glass cyclonic spray chamber were used for sample introduction. The internal standard (2 mg/L Y) was added to all standards and samples via the sample introduction system. The plasma power was 1.2 kW, the argon flow rate was 15.0 L/min with an auxiliary flow of 1.50 L/min, the read time was 60 s, and the nebulizer pressure was 250 kPa. Instrument detection limits were determined by measuring the emission intensities of seven blanks. Each sample was analyzed three times (n = 3) for each element. For quality control, a laboratory fortified blank (LFB) containing 2.5 mg/L Al, As, Cd, Cr, Cu, Fe, Mn, Ni, Pb, Se, and Zn and 15 mg/L Ca, K, Mg, and Na was measured every ten samples.

2.1.4

2.1.4 Determination of crude oil and ash composition of food samples

The crude oil composition of the food samples was determined using a petroleum ether Soxhlet extraction procedure (Latimer Jr., 2012; Watson, 1994). Approximately 10 grams of the food samples was defatted using 200 mL of petroleum ether (60–80 °C) in a continuous Soxhlet extractor for 48 h until the solvent appeared colorless. The obtained petroleum ether extract was subsequently rotary evaporated in a Rotavapor R-205. The ash content of the food samples was determined gravimetrically using the standard muffle furnace dry ashing protocol (Latimer Jr., 2012; Watson, 1994). A known weight of the oven dried food sample was weighed into a pre-weighed crucible and placed in a programmable muffle furnace (Ney Tech Vulcan 3-550A) and ashed at 700 °C for 17 h. The crucible and the ash were allowed to cool to room temperature in a desiccator and reweighed. The weight of the ash was determined by differences in the weight of the crucible before and after ashing using Eq. (1).

(1)
Percentage ash = ash weight dry sample weight × 100

3

3 Results and discussion

3.1

3.1 Calibration curves, limits of detection, and limit of quantitation

Table 1 shows the wavelengths, the regression equations, square correlation coefficient (R2), limits of detection (LOD) and limits of quantification (LOQ) obtained for each element. Obviously the figures of merit of the calibration curves are excellent, with R2 values of 0.9921 or better. The LOD and LOQ were calculated as 3 s/m and 10 s/m, respectively, where s is the standard deviation of the intensity of seven blanks and m is the slope of the calibration curve for each element. The LODs of the elements ranged between 0.0001 mg/L for Cd and 0.151 mg/L for Ca while LOQ ranged between 0.0004 mg/L and 0.502 mg/L for Cd and Ca, respectively. The low LODs clearly demonstrate the high sensitivity and linear range of ICP-OES method for elemental analysis in fruit and vegetable samples.

Table 1 Figures of merit of ICP-OES method showing the wavelength of detection, regression equation, correlation coefficient (R2), Limits of detection (LOD) and limits of quantitation (LOQ) of each element.
Element Wavelength (nm) Regression equation R2 LOD (mg/L) LOQ (mg/L)
Pb 220.353 y = 1025.5x − 4.801 0.9998 0.002 0.006
Cd 214.439 y = 12170x − 125.9 0.9998 0.0001 0.0004
As 188.980 y = 271.96x − 3.427 0.9999 0.006 0.021
Cr 267.716 y = 19812x − 189.63 0.9998 0.0004 0.0016
Ni 231.604 y = 2948.3x − 20.332 0.9998 0.0003 0.0012
Mn 257.610 y = 119472x + 13,886 0.9997 0.002 0.006
Se 196.026 y = 195.65x − 0.7657 0.9999 0.005 0.018
Al 396.152 y = 13753x + 3295.9 0.9996 0.068 0.227
Fe 238.204 y = 16980x + 2512.5 0.9993 0.014 0.047
Zn 213.857 y = 10168x − 89.51 0.9998 0.008 0.027
Mg 280.491 y = 282042x + 2e06 0.9877 0.023 0.075
Ca 396.847 y = 897247x + 3e06 0.9950 0.151 0.502
Na 588.995 y = 289478x − 4800.6 0.9961 0.042 0.140
K 766.491 y = 35773x − 70,463 0.9921 0.065 0.215
Cu 327.395 y = 13404x + 91.336 0.9997 0.003 0.008

3.1.1

3.1.1 Concentration of macro and essential trace elements in food samples

The average concentration of the macro and essential trace elements in each food samples is shown in Table 2. Each sample was analyzed three times (n = 3) for each element. The result shows the average ± standard deviation of the three replicate sample analyses. The concentrations of the essential elements varied widely in the food samples. As expected, Ca, K, Na, and Mg had the highest concentrations in each of the food samples. Ni and Se had the lowest concentrations. In general, the highest concentrations of Ca (24,749 μg/g), Mg (10,069 μg/g), Fe (565 μg/g), and Al (469 μg/g) were found in the Butter #1 fruit. The highest Zn concentration (9.3 μg/g) was found in fennel seeds and the fennel flower, which also contained a relatively higher Cu concentration (18.0 μg/g). The average concentration of each element obtained in fennel seeds and fennel flower was generally similar. The average Ca (5094 ± 53 μg/g), Mg (1844 ± 9 μg/g), Na (87.1 ± 2.9 μg/g), Fe (57.9 ± 4.0 μg/g), Al (137 ± 15 μg/g), Zn (14.8 ± 1.3 μg/g), Cu (4.71 ± 0.32 μg/g), Ni (2.79 ± 0.78 μg/g), and Se (0.58 ± 0.03 μg/g) were obtained in common fig fruit. The corresponding average Ca (1084 ± 20 μg/g), Mg (1423 ± 49 μg/g), Na (158 ± 9 μg/g), Fe (111 ± 5 μg/g), Al (83 ± 21 μg/g), Zn (6.31 ± 0.56 μg/g), Cu (5.38 ± 5.27 μg/g), Ni (1.99 ± 1.45 μg/g), and Se (0.40 ± 0.29 μg/g) concentrations were obtained in Annona fruit. The average Ca (4510 ± 504 μg/g), Mg (3355 ± 446 μg/g), Na (81.3 ± 8.3 μg/g), Fe (38.9 ± 12.4 μg/g), Al (29.9 ± 9.3 μg/g), Zn (27.1 ± 1.9 μg/g), Cu (11.5 ± 1.7 μg/g), Ni (1.76 ± 0.59 μg/g), and Se (0.43 ± 0.19 μg/g) concentrations were also found in Vigna samples.

Table 2 Average concentrations of essential elements in each fruit and vegetable sample in μg/g. Mean(±standard deviation). Each sample was analyzed for each element in triplicate.
Element Common fig fruit Annona seeds Annona Butter 1 Butter 2 Fennel Fennel Flower Vigna
Se 0.58 ± 0.03 0.56 ± 0.09 0.40 ± 0.29 0.41 ± 0.28 0.31 ± 0.13 0.82 ± 0.22 0.42 ± 0.15 0.43 ± 0.19
Al 137 ± 15 23.0 ± 3.5 82.9 ± 20.5 300 ± 53. 469 ± 109 28.1 ± 6.4 41.1 ± 14.6 29.89 ± 9.31
Fe 57.9 ± 4.0 22.9 ± 4.8 111 ± 5 325 ± 22 565 ± 86 27.1 ± 8.9 20.0 ± 18.8 38.9 ± 12.4
Zn 14.8 ± 1.3 22.1 ± 0.6 6.31 ± 0.56 20.2 ± 8.7 31.7 ± 12.4 35.0 ± 7.7 49.3 ± 13.9 27.1 ± 1.9
Mg 1844 ± 9 1151 ± 89 1423 ± 49 10,069 ± 830 4902 ± 240 3808 ± 335 2239 ± 682 3355 ± 446
Ca 5094 ± 53 1583 ± 137 1084 ± 20 24,749 ± 1057 20,457 ± 2197 16,635 ± 1986 5315 ± 1334 4510 ± 504
Na 87.1 ± 2.9 30.8 ± 0.4 158 ± 9 14,650 ± 686 8830 ± 1277 2774 ± 440 223 ± 63 81.3 ± 8.3
K 9689 ± 394 93,024 ± 989 9745 ± 885 10,072 ± 864 15,148 ± 1109 15,594 ± 1531 4846 ± 1670 17,124 ± 2483
Cu 4.71 ± 0.3 13.1 ± 0.4 5.38 ± 5.27 8.31 ± 5.18 6.59 ± 0.78 18.0 ± 8.1 18 ± 8 11.5 ± 1.7
Ni 2.79 ± 0.78 2.45 ± 0.54 1.99 ± 1.45 2.68 ± 0.91 3.32 ± 1.33 3.42 ± 2.05 2.53 ± 0.61 1.76 ± 0.59

3.1.2

3.1.2 Concentration of toxic heavy metals (Pb, Cd, As, Cr, and Mn) in food samples

The average Pb, Cd, As, Cr, and Mn concentration in each food sample is shown in Table 3. The common fig contained the following average concentrations: Pb (0.18 ± 0.05 μg/g), Cd (0.01 ± 0.00 μg/g), As (0.34 ± 0.03 μg/g), Cr (0.44 ± 0.02 μg/g), and Mn (14.1 ± 0.2 μg/g). The average concentrations in the Annona fruit were as follows: Pb (0.21 ± 0.02 μg/g), Cd (0.01 ± 0.00 μg/g), As (0.27 ± 0.15 μg/g), Cr (0.31 ± 0.02 μg/g), and Mn (6.27 ± 0.45 μg/g). The levels of Pb, Cd, As, Cr, and Mn detected in Annona seed were comparable to the levels of Pb, Cd, As, Cr, and Mn found in Annona fruit. The concentration of Pb (0.27 ± 0.06 μg/g), Cd (0.03 ± 0.00 μg/g), As (0.26 ± 0.16 μg/g), and Cr (0.89 ± 0.05 μg/g) found in Butter #1 was similar to the Pb (0.47 ± 0.23 μg/g), Cd (0.04 ± 0.00 μg/g), As (0.29 ± 0.05 μg/g), and Cr (1.03 ± 0.11 μg/g) concentrations detected in Butter 2. However, the concentration of Mn (149 ± 16 μg/g) found in Butter 2 was nearly twice the Mn concentration (78.7 ± 3.4 μg/g) detected in Butter 1 fruit. The levels of Pb (0.24 ± 0.12 μg/g), Cd (0.03 ± 0.01 μg/g), As (0.30 ± 0.04 μg/g), and Cr (0.33 ± 0.10 μg/g) found in fennel were also similar to the Pb (0.36 ± 0.07 μg/g), Cd (0.03 ± 0.01 μg/g), As (0.29 ± 0.13 μg/g), and Cr (0.27 ± 0.08 μg/g) concentrations obtained in fennel flower. However, the Mn concentration of 60.4 ± 4.4 μg/g found in fennel fruit was approximately three times the Mn concentration (20.3 ± 6.1 μg/g) in Fennel flower.

Table 3 Average concentrations of heavy metals (Pb, Cd, As, Cr, and Mn) in different fruit and vegetable samples in μg/g. Mean(±standard deviation). Each sample was analyzed for each element in triplicate.
Element Common fig fruit Annona seeds Annona Butter1 Butter 2 Fennel Fennel Flower Vigna
Pb 0.18 ± 0.05 0.12 ± 0.01 0.21 ± 0.02 0.27 ± 0.06 0.47 ± 0.23 0.24 ± 0.12 0.36 ± 0.07 0.29 ± 0.25
Cd 0.01 ± 0.00 0.03 ± 0.00 0.01 ± 0.00 0.03 ± 0.00 0.04 ± 0.00 0.03 ± 0.01 0.03 ± 0.01 0.01 ± 0.00
As 0.34 ± 0.03 0.30 ± 0.09 0.27 ± 0.15 0.26 ± 0.16 0.29 ± 0.05 0.30 ± 0.04 0.29 ± 0.13 0.23 ± 0.10
Cr 0.44 ± 0.02 0.18 ± 0.03 0.31 ± 0.02 0.89 ± 0.05 1.03 ± 0.11 0.33 ± 0.10 0.27 ± 0.08 0.3 ± 0.09
Mn 14.1 ± 0.2 18.4 ± 0.2 6.27 ± 0.45 78.7 ± 3.4 149 ± 16 604 ± 4.4 20.3 ± 6.1 34.9 ± 6.6

In contrast to macro and essential trace elements, heavy metals (Pb, Cd, As, Cr, and Mn) have no nutritional value. Detection of Pb, Cd, As, Cr, Mn, and other heavy metals in various food items has been widely reported elsewhere (Al-Ahmary, 2009; Davydova, 2005; Goldhabe, 2003; Hu et al., 2013; IRAC, 2006; Jarup, 2003; Mehari et al., 2015; Sharma et al., 2009; WHO, 1992; Zaidi et al., 2005). The need to effectively monitor the concentrations of heavy metals in foods and natural products is not only of environmental concern, but also of a considerable global public health safety interest because various health related issues including cancer diseases, cardiovascular problems, children low intelligent quotients, depression, hematic, gastrointestinal and renal failure, osteoporosis, tubular and glomerular dysfunctions, and other health issues have been directly linked to high levels of heavy metals in humans (ASTDR, 2005; EFSA, 2012; Fewtrell et al., 2003; Steenland and Boffeta, 2000; Schwartz, 1994; WHO, 2010). The concentrations of Pb, Cd, As, Cr, and Mn in food from this study are comparable with the concentrations of Pb, Cd, As, Cr, and Mn in food products reported in other studies (Al-Ahmary, 2009; Davydova, 2005; Hu et al., 2013; IRAC, 2006; Jarup, 2003; Mehari et al., 2015; WHO, 1992; Zaidi et al., 2005). The detected levels of Pb, Cd, As, Cr, and Mn in the investigated food products in this study may be attributed to the natural background of heavy metal concentrations in the soil geochemistry.

3.1.3

3.1.3 Daily dietary intake estimate of fruits and vegetable samples

The intake of essential elements must be closely monitored in the human diet, because both a deficiency and an excess can have negative health implications. In addition, elements such as Pb, Cd, and As have no nutritional value. The daily intake of the elements investigated in this study was calculated in μg/person/day from the average concentration of each food along with the daily consumption of each food, which was estimated through a survey of 95 families in southern Saudi Arabia. Estimated daily dietary intake of elements per person per day was calculated using Eq. (2).

(2)
Estimated daily dietary intake = level of element ( μ g / g ) × mass of food consumption ( g ) per person per day

Table 4 shows the results, where it can be seen that these foods will provide the recommended daily amounts of essential elements (Gupta and Gupta, 2014) but will not provide high concentrations of potentially toxic elements.

Table 4 Estimated daily dietary intake of elements (μg/person/day) from food samples.
Element Common fig fruit Annona Butter1 Butter2 Fennel seed Fennel Flower Vigna Total daily Estimate
Pb 4.6 14.6 2.7 4.7 1.4 2.3 2.9 3.86
Cd 0.3 0.7 0.3 0.4 0.2 0.2 0.1 0.29
As 8.8 18.8 2.6 2.9 1.8 1.9 2.3 4.29
Cr 11.4 21.6 8.9 10.3 2.0 1.7 3.0 6.29
Ni 72.0 138.5 26.5 33.2 20.5 16.2 17.6 37.7
Mn 363.8 436.4 787.0 149 362 130 349 529.7
Se 15.0 27.8 4.1 3.1 4.9 2.7 4.3 7.43
Al 3534.6 5770 3000.4 4690 169 264 299 1677
Fe 1493.1 7726 3250 5650 163 128 389 1642
Zn 381.8 439 202 317 210 347 271 348
Mg 47,575 99,041 100,690 49,020 22,848 1437 33,550 44,562
Ca 131,425 75,446 247,490 204,570 99,810 34,122 45,100 121,014
Na 2247 10,997 146,500 88,300 16,644 1432 813 31,274
K 24,997 678,252 100,720 151,480 93,564 31,111 171,240 16,342
Cu 122 374 83 66 108 115 115 147

3.1.4

3.1.4 Inter-element association in fruit and vegetable samples

Linear regression analysis was used to evaluate the inter-element associations in the food samples, as shown in Table 5. The concentrations of most macro and essential trace elements were generally strongly correlated in the fruit and vegetable samples. For example, strong association between Mg and Ca (R2= 0.86), Mg and Na (R2 = 0.95), and between Ca and Cr (R2 = 0.88) was observed in the food samples. High correlations between the concentrations of Fe and Al (R2 = 0.94), Cr and Mn (R2 = 0.83), Cr and Fe (R2 = 0.89), Mn and Al (R2 = 0.88), Mn and Fe (R2 = 0.93), and Cr and Al (R2 = 0.93) were also found in the food samples. The concentrations of Fe and Ca (R2 = 0.69), Fe and K (R2 = 0.76), Al and Ca (R2 = 0.72) and Al and K (R2 = 0.67) were also found to be moderately correlated in the fruit and vegetable samples. On the contrary, the concentrations of potentially toxic heavy metals were found to be poorly correlated in the food samples. For instance, poor association between the concentration of Pb and Cd (R2 = 0.21), Pb and As (R2 = 0.00), Pb and Ni (R2 = 0.23), Cd and As (R2 = 0.01), Cd and Ni (R2 = 0.08), As and Cr (R2 = 0.02), As and Ni (R2 = 0.19), As and Mn (R2 = 0.01) was observed in the food samples.

Table 5 Inter-element association in fruit and vegetable samples.
Element Pb Cd As Cr Ni Mn Se Al Fe Zn Mg Ca Na K Cu
Pb 0.21 0.00 0.58 0.23 0.54 0.01 0.69 0.71 0.54 0.12 0.30 0.25 0.62 0.06
Cd 0.21 0.01 0.44 0.08 0.62 0.07 0.41 0.47 0.56 0.39 0.56 0.54 0.26 0.12
As 0.00 0.01 0.02 0.19 0.01 0.78 0.03 0.02 0.00 0.02 0.01 0.02 0.03 0.28
Cr 0.58 0.44 0.02 0.14 0.83 0.18 0.93 0.89 0.35 0.59 0.88 0.75 0.52 0.04
Ni 0.23 0.08 0.19 0.14 0.14 0.10 0.16 0.15 0.19 0.04 0.09 0.07 0.08 0.07
Mn 0.54 0.62 0.01 0.83 0.14 0.17 0.88 0.93 0.45 0.35 0.70 0.54 0.76 0.00
Se 0.01 0.07 0.78 0.18 0.10 0.17 0.23 0.22 0.04 0.05 0.11 0.09 0.04 0.09
Al 0.69 0.41 0.03 0.93 0.16 0.88 0.23 0.94 0.42 0.39 0.72 0.57 0.67 0.03
Fe 0.71 0.47 0.02 0.89 0.15 0.93 0.22 0.94 0.40 0.37 0.69 0.57 0.76 0.02
Zn 0.54 0.56 0.00 0.35 0.19 0.45 0.04 0.42 0.40 0.08 0.23 0.18 0.35 0.04
Mg 0.12 0.39 0.02 0.59 0.04 0.35 0.05 0.39 0.37 0.08 0.86 0.95 0.06 0.00
Ca 0.30 0.56 0.01 0.88 0.09 0.70 0.11 0.72 0.69 0.23 0.86 0.94 0.29 0.00
Na 0.25 0.54 0.02 0.75 0.07 0.54 0.09 0.57 0.57 0.18 0.95 0.94 0.17 0.00
K 0.62 0.26 0.03 0.52 0.08 0.76 0.04 0.67 0.76 0.35 0.06 0.29 0.17 0.07
Cu 0.06 0.12 0.28 0.04 0.07 0.00 0.09 0.03 0.02 0.04 0.00 0.00 0.00 0.07

The bold signify the levels of elements that were correlated in the samples.

The high correlations among the macro and essential trace elements indicate that these fruits and vegetables are sources of multiple elements. Consumers of these foods will be obtaining multiple macro and essential trace elements in their diet that will improve their overall health and well-being. The poor correlations among heavy metals indicate that there is no point source or a common source of these toxic elements in the food aside from the natural background levels.

3.1.5

3.1.5 Quality control, analytical method validation, and recovery study

Every necessary precaution was taken during sample collection, preparation, digestion, and analysis in order to preserve the sample integrity and to ensure accurate results. First, the food samples were collected in pre-nitric acid washed and dried polyethylene bags. The samples were immediately sun- or oven-dried to eliminate sample decomposition or microbial activity. The samples were prepared in a clean, dust free laboratory to eliminate contamination. Only trace element grade nitric acid (purity, 99.999%) was used for digestion and solution preparation. All glassware was pre-soaked in 6 M HNO3 for three days and thoroughly rinsed with triply de-ionized water before use. Each food sample was analyzed in triplicate. The LFBs measured by ICP-OES demonstrated good accuracy, as most of the percent recoveries were 90–100%, with the exception of Ca and Mg, which had percent recoveries slightly greater than 100%. Specifically, percent recoveries of Pb (95.1%), Cd (94.6%), As (93.8%), Cr (95.2%), Ni (95.6%), Mn (100%), Se (94.0%), Al (98.3%), Zn (96.9%), Fe (90%), Mg (106%), Ca (114%), Na (99.0%), K (92.3%), and Cu (95.6%) were obtained for the LFB analysis.

3.1.6

3.1.6 Percent crude oil extract and ash compositions of fruits and vegetables

The determined percent crude oil compositions varied widely in the food samples and ranged between 0.8% in Vigna and 25% in Fennel Flower (Table 6). The highest crude oil extract compositions of 25% and 21% were found in Fennel Flower and Annona seed, respectively. Fats and oils are critical components of the human diet and may serve as sources of energy, glycerol and fatty acid. Several natural oils also contain pharmacologically active compounds, phenolics, and antioxidants that may reduce aging, lower high blood pressure, prevent cardiovascular diseases, and cancer diseases (Chen et al., 2012; Gajalakshmi et al., 2011; Veberic et al., 2008). Dietary intake of adequate amounts of oils in fruit and vegetables is therefore desirable to promote human health and well-being.

Table 6 The % crude oil and ash compositions of fruits and vegetables.
Samples % crude oil composition %Ash composition
Annona seeds 21 1.7
Annona fruit 0.8 3.2
Common fig 6.7 4.3
Fennel Flower 25 4.2
Butter#2 3.8 9.5
Vigna 0.8 5.5
Butter#1 3.9 Not determined
Fennel 11.9 7.9

The percent ash compositions in the fruit and vegetable samples ranged from 1.7% in Annona seed to 9.5% in Butter 2 fruits. The ash composition of foods is often utilized as a measure of the level of inorganics, macro and essential elements, and other minerals in the fruit and vegetable samples.

4

4 Conclusion

The concentrations of macro and essential trace elements (Mg, Ca, Na, K, Fe, Zn, Se, Al, and Cu), nutrients, and potentially toxic heavy metals (As, Cr, Cd, Pb, and Ni) in some of the most widely consumed fruits and vegetables in Saudi Arabia, the Middle East, and sub-Saharan African countries and other parts of the world were determined in order to ensure food quality control protocols and adequate intake of essential trace elements and to prevent the consumption of potentially toxic heavy metals from food products. The fruit and vegetables investigated in this study were found to contain adequate concentrations of macro and essential trace element nutrients necessary for proper body development. In addition, the levels of potentially toxic heavy metals were generally low. The levels of macro and essential trace elements were found to be highly correlated in the food samples. In contrast, the levels of toxic Pb, As, Cd, and Cr heavy metals were poorly correlated in the food samples. The use of ICP-OES in this study allowed the accurate analysis and the detection of the elements at low levels. Regular consumption of the investigated fruits and vegetables will provide the adequate amounts of the macro and essential trace elements needed for humans, but will not constitute health danger from heavy metals. These food items will also provide adequate amounts of natural oils with potential pharmacologically active compounds, phenolic compounds, and antioxidants components that are critically relevant for promoting human health. However, there is a continuing need for routine monitoring of potentially toxic elements in food products and total environment (soil, air, and water) and in children’s products in order to prevent a possible heavy metal poisoning and to ensure the global public safety.

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