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Article

Nutrient and Chemical Contaminant Levels in Five Marine Fish Species from Angola—The EAF-Nansen Programme

by
Amalie Moxness Reksten
1,*,
Avelina M. Joao Correia Victor
2,
Edia Baptista Nascimento Neves
2,
Sofie Myhre Christiansen
1,
Molly Ahern
3,
Abimbola Uzomah
4,
Anne-Katrine Lundebye
1,
Jeppe Kolding
5 and
Marian Kjellevold
1
1
Seafood, Nutrition and Environmental State, Institute of Marine Research, P.O. Box 2029, Nordnes, 5817 Bergen, Norway
2
Quality Control Department of Fisheries Products, National Institute of Fisheries and Marine Research, P.O. Box 2901, Luanda, Angola
3
Fisheries and Aquaculture Division, Food and Agriculture Organization of the United Nations (FAO), 00153 Rome, Italy
4
Department of Food Science and Technology, Federal University of Technology, P.M.B. 1526, Owerri 460114, Nigeria
5
Department of Biological Sciences, University of Bergen, P.O. Box 7803, 5020 Bergen, Norway
*
Author to whom correspondence should be addressed.
Foods 2020, 9(5), 629; https://doi.org/10.3390/foods9050629
Submission received: 2 April 2020 / Revised: 4 May 2020 / Accepted: 9 May 2020 / Published: 14 May 2020
(This article belongs to the Special Issue Seafood and Seafood Products)
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Abstract

:
Fish is a rich source of several important nutrients and an important part of the otherwise plant-dominated diet present in Angola. However, fish may also be a source of contaminants. The aim of this study was to analyse the nutrient contents and the levels of chemical contaminants, including arsenic, cadmium, mercury, and lead, in five commonly consumed marine fish species sampled during a survey with the research vessel Dr. Fridtjof Nansen in Angola. The species’ contribution to recommended nutrient intakes (RNI) for women and children was assessed and compared to that of food products of terrestrial animal origin. All the sampled species are good sources of protein and micronutrients if included in the diet, and inter-species variation is evident. The species were identified to contribute 5–15% of the RNI for calcium, iron, iodine, and zinc and exceeded the contribution to protein and iron intakes of food products of terrestrial animal origin. Furthermore, the potential consumer exposure to chemical contaminants in the species was assessed. None of the species exceeded the maximum levels for cadmium, mercury, and lead, and the potential consumer exposure to cadmium and methylmercury was considered low. The data presented in this study represent an important contribution to African food composition tables.

1. Introduction

With a 1650 km long coastline located in one of the most productive ecosystems in the world [1], Angola’s fishery sector is very important to the country’s economy and represents a valuable source of food and livelihood to a large part of the population, particularly in the coastal areas. Following the oil and diamond industries, fisheries represent the third most important economic sector. Of the 486,490 recorded tonnes landed annually from capture fisheries, marine resources account for more than 70% of the total Angolan fish production [2,3]. However, due to a tendency for misreported livelihoods and economic contributions from capture fisheries globally (hidden harvests), the production number is expected to be considerably higher [4]. Small pelagic species, which are especially important for domestic food supply, represent approximately 50% of the total reported catch, with sardinella (Sardinella spp.) and horse mackerel (Trachurus trachurus) being the most abundant and preferred species. Other common marine fish resources include demersal finfish such as sea breams, snappers, groupers, and croakers and migratory species of tuna. An estimated 90% of Angolan fish production is marketed within national borders, and most of the fish is sold and utilised fresh or frozen at local landing sites and the rest as either salt-dried or sun-dried fish. Estimates from 2016 indicate a per capita annual fish consumption of 19.5 kg [5], which translates to approximately 26% of the total animal protein intake [2]. This compares against a world per capita estimated average consumption of 19.7 kg and an African average of only 9.9 kg per capita [5].
After a 27-year long civil war, which came to an end in 2002, Angola’s public health system is still in the process of being rebuilt. Consequently, health data and information on the nutritional status of the Angolan population are scarce and scattered [6]. Food insecurity and malnutrition remain great challenges, with iron, iodine, vitamin A, and zinc deficiencies as the most prevalent micronutrient deficiencies [7]. In sub-Saharan Africa, the prevalence of iron deficiency in women is the highest across the globe [8]; estimates from 2016 show that 48% of women of reproductive age and 51% of pregnant women in Angola suffer from anaemia (of both nutritional and non-nutritional aetiologies) [9]. Furthermore, the mortality rate for Angolan children under five years of age is the sixteenth highest in the world [10], and almost half of all child deaths are attributed to poor nutrition. It has been estimated that 87% of children between 6 and 23 months old do not receive a minimum acceptable diet [11], with a prevalence of 38% of under-five year olds classified as having stunted growth, which is considerably higher than the developing country average of 25% [12]. Additionally, critical levels of food and nutrition insecurity exist due to recurrent disease outbreaks, drought, and flooding incidents [11], which has led to food and nutrition security being identified as one of ten priorities in Angola’s national strategy to fight poverty [3].
As an important part of the African agri-food system, fisheries are seen as a crucial contributor to combating hunger and acquiring food security, both directly through consumption and indirectly through providing work and income-generating opportunities [13]. Fish is widely recognised as a rich source of high-quality protein, long-chain omega-3 fatty acids such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), various vitamins (A, D, and B12), and a range of minerals (including calcium, iron, zinc, iodine, and selenium) [5,14,15]. Several of these nutrients cannot be easily substituted by other food commodities [8,16]. However, fish may also be a source of chemical contaminants including mercury, lead, cadmium, and arsenic, either through naturally occurring phenomena such as volcanic eruptions and weathering and/or as a result of anthropogenic activities such as industrial processes and agricultural activities [17,18,19]. These metals and metalloids (hereafter combined and referred to as “metals”) have raised serious public health concerns over the past decades, as exposure is associated with a range of negative health effects, including renal, skeletal, cardiovascular, neurological, and developmental damage in humans [20,21,22].
Adequate nutrition has been recognised as an essential catalyst for achieving the United Nation’s Sustainable Development Goals (SDGs) by 2030 [23]. However, as highlighted in the 2017 Global Nutrition Report [24], major data gaps in the nutrient composition of foods consumed in Africa, and thus accurate dietary data on current nutrient intakes, have been identified as hindrances to development and progress in African countries. Reliable and up-to-date knowledge on the composition of foods, or food composition data, represent a vital tool and source of information for the development of food policies and the implementation of intervention programmes to improve health and food and nutrition security in all populations [24,25]. Along with numerous other African countries, Angola does not currently have its own food composition table/database (FCT/FCDB). A few sub-Saharan countries, including Cameroon, Congo, Zambia, and Zimbabwe, have outdated FCTs from 1957–1989, whereas South Africa is one of very few African countries to have a more recently updated FCT/FCDB (from 2008, last updated in 2017) [24,26]. On a regional level, the Food and Agriculture Organization of the United Nations (FAO)/International Network of Food Data Systems (INFOODS) Food Composition Table for Western Africa (2019), which was released in 2020 and replaced the former version from 2012 [27,28], is the most relevant FCT for use in Angola, as no regional FCT currently exists for countries in central Africa. The new FCT includes 1028 food entries (compared to 472 in the former FCT from 2012), several mixed dishes (mixed dishes were not included in the former FCT), 29 new components/nutrients (in addition to the 28 present in the former FCT), and 300 new data sources (raising the number from 121 in the former FCT to 467 in the new version). For the food group “Fish and its products”, the new FCT contains nutrient data for 21 (raw) fish species, which is an increase from the 15 fish species described in the FCT from 2012. Additionally, the FCT contains calculated values for canned, boiled, grilled, and steamed fish [27,28,29]. As stated in the FAO/World Health Organization (WHO) expert consultation on the risks and benefits of fish consumption [30], countries are recommended to develop, maintain, and improve existing databases on nutrients and contaminants in fish consumed in their region. Thus, the aim of this study was to quantify a variety of nutrients and chemical contaminants in commonly consumed marine fish species sampled from the coast of Angola in order to fill current knowledge gaps on the composition of fresh fish and contribute to high-quality food composition data. Furthermore, we assessed the potential contribution of calcium, iodine, iron, and zinc to the recommended nutrient intakes (RNI) for women of reproductive age and infants during the first 1000 days of life; groups that are both considered nutritionally vulnerable and where adequate nutrition is one of the fundamental prerequisites for optimal development and health [31]. We also estimated the potential human exposure to cadmium and methylmercury (MeHg) for adults and young children when consuming the sampled species.

2. Materials and Methods

This paper uses data collected by a scientific survey with the research vessel (R/V) Dr. Fridtjof Nansen as part of the collaboration between the EAF-Nansen Programme and the National Fisheries Research Institute (INIP) in Angola. The EAF-Nansen Programme is a partnership between the FAO, the Norwegian Agency for Development Cooperation (Norad), and the Institute of Marine Research (IMR), Norway, for the sustainable management of the fisheries of partner countries.

2.1. Sampling

Sampling of marine fish species off the coast of Angola was performed on board R/V Dr. Fridtjof Nansen between 21 September and 12 October 2017. Pelagic (Åkrehamn) and demersal trawls (Gisund Super bottom trawl) were used for sampling during the survey, and the catch was subsequently sorted and identified according to species by taxonomists. Fish species were selected for nutritional analyses based on their importance to local food habits as advised by the local marine and food scientists on board. The fish were measured (from the tip of the head to the deepest fork of the caudal fin) and weighed on a marine measuring board, and average weight (g) and length (cm) were recorded for each species (Table 1). For each fish species, a total of 25 individuals were filleted (including removal of the head, tail, skin, bones, and viscera of the fish; fillet samples from both sides of the fish were included from each fish sample) and homogenised using a food processor (Braun Multiquick 7 K3000, Kronberg im Taunus, Germany). The 25 fillet samples were then pooled together, creating five composite samples consisting of fillets of five individuals each (5 × 5) that were homogenised once more in the same food processor. The composite samples were stored as wet samples for later analyses at −20 °C in the vessel’s freezer. After a minimum of 12 h in the freezer, a subsample of each wet sample was freeze-dried for 72 h (24 h at −50 °C, immediately followed by 48 h at +25 °C, with a vacuum of 0.2–0.01 mbar), using a Labconco FreeZone 18 L freeze-dryer (Kansas City, mod. 7750306, MO, USA), and the moisture content was calculated based on the weight change between entering and exiting the freeze-dryer. Freeze-dried samples were then homogenised using a knife mill (Retch Grindomix GM 200, Haan, Germany). All samples were vacuum-sealed and stored in airtight plastic beakers (Nunc beakers) in insulated boxes in the freezer (−20 °C) until shipment by air cargo to the IMR in Bergen, Norway, where the samples were stored at −80 °C pending analyses. The samples arrived at the IMR laboratories in early January 2018. Detailed information regarding the sampling procedures is described in Reksten et al. [32].

2.2. Analytical Methods

The determination of crude protein, lipid content, minerals, and chemical contaminants was performed in singular parallels at the IMR laboratories in Bergen, Norway. Details of the analytical methods are given by Reksten et al. [32].
Lipids (crude fat) were extracted with ethyl acetate and filtered before the solvent was evaporated and the lipid residue was weighed. The method is standardised as a Norwegian Standard, NS 9402 [34]. Protein (crude protein) was determined by burning the material in pure oxygen gas in a combustion tube at 950 °C. Nitrogen (N) was detected with a thermal conductivity detector, and the content of N was calculated from an estimated average of 16% N per 100 g protein. The following formula was used: N g/100 g × 6.25 = g protein/100 g, in accordance with the method accredited by the AOAC Official Methods of Analysis [35].
The concentrations of minerals (selenium (Se), zinc (Zn), iron (Fe), calcium (Ca), potassium (K), magnesium (Mg), phosphorus (P), and sodium (Na)) and metals (arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb)) were determined with an inductively coupled plasma-mass spectrometer (ICP-MS, iCapQ ICPMS, ThermoFisher Scientific, Waltham, MA, USA) equipped with an auto-sampler (FAST SC-4Q DX, Elemental Scientific, Omaha, NE, USA) after wet digestion in a microwave oven (UltraWave, Milestone, Sorisole, Italy), as described by Julshamn et al. [36]. The concentrations of these minerals were quantified using an external standard curve in addition to an internal standard [37]. Three slightly different methods were applied: (1) for Ca, Na, K, Mg, and P, using scandium (Sc) as the internal standard; (2) for Zn and Se, using rhodium (Rh) as the internal standard; and (3) for iodine (I), tellurium (Te) was used as the internal standard. For the determination of I, the sample preparation was a basic extraction with tetramethylammonium hydroxide (TMAH) before ICP-MS analysis.

2.3. Data Management and Presentation of Analytical Data

The analytical data were exported from the Laboratory Information Management System (LIMS) and plotted into spreadsheets in Microsoft® Office 365 Excel version 1910 for the calculation of means and standard deviations (SD). The data presented are reported with the same units of expression and rounding procedures as advised in the FAO guidelines for food composition data [25]. Statistical analyses were performed, and graphs compiled using GraphPad Prism version 8.3.0, 2019. The data did meet the normality assumption (tested using the Shapiro–Wilk normality test); thus, Pearson’s correlation coefficient was used to test the correlation between moisture and lipid content. The analytical values for protein, lipids, and minerals are presented as the mean ± SD per 100 g wet weight (w.w.) for the five composite samples from each fish species. For metals, the values are presented as the mean ± SD expressed in mg/kg w.w. of the five composite samples for each species. No values were <LOQ for any of the nutrients analysed, but for individual samples presenting values <LOQ for any of the chemical contaminants, we applied a conservative approach assuming that the total amount of the contaminant present in the sample is equivalent to the LOQ value. For arsenic and mercury, no values were <LOQ. For cadmium, six of 30 measurements were <LOQ, and for lead, 25 of 30 measurements were <LOQ. The concentration of mercury was measured as total mercury in this study; it can be assumed that 80–100% of the total mercury in fish is in the form of MeHg [38]. Similarly, the concentration of arsenic was measured as the total concentration of all arsenic compounds present in the samples.

2.4. Calculation of Potential Contribution to Recommended Nutrient Intakes

The potential contribution of each species to the daily RNI was calculated with reference to recommendations for non-pregnant, non-lactating, healthy females of reproductive age (aged 19–50 years) and for infants during the first 1000 days of life. The average RNI values for infants were calculated to account for variations in requirements throughout the age period from 7 to 23 months [39], assuming exclusive breastfeeding for the first six months. The micronutrients of interest were calcium, iodine, iron, and zinc. Despite a lack of national data on the composition of the Angolan diet, low dietary bioavailability was assumed for both iron (10%) and zinc (15%) based on dietary trends observed in neighbouring African countries, including a limited intake of animal-source food products, few sources of vitamin C-containing foods, and a high consumption of phytate-containing foods such as cereals, roots, and legumes [40,41]. The potential contribution from each fish species was calculated using a 50 g portion of raw fish for women (estimated from the most recent per capita fish consumption of 19.5 kg/year [5]) and an estimated 25 g portion of raw fish for children 7–23 months of age. The values for each species are presented as percentages of the average RNI for each group.

2.5. Comparison with Food Products of Terrestrial Animal Origin

The various species’ potential contribution to the RNI of an average African woman weighing 60 kg was compared to that of raw chicken, beef, pork, milk, and eggs with regard to protein, calcium, iron, and zinc concentrations. For protein, a dietary protein requirement of 0.84 g per kg body weight per day, as advised by the FAO/WHO [42], was utilised. The nutrient values for each food product of terrestrial animal origin were derived from the FAO/INFOODS Food Composition Table for Western Africa (2019) [28]. A description of the food products as well as the edible portion conversion factors used for the calculation of each food’s potential contribution are presented in Table 2. All values were compared in their raw state, using an equivalent portion size of 50 g for both fish and food products of terrestrial animal origin.

2.6. Potential Consumer Exposure to Metals

An evaluation of the potential consumer exposure to cadmium and mercury through the consumption of the sampled species was performed by evaluating the estimated daily intake (g) compared to the provisional tolerable weekly/monthly intake (PTWI/PTMI) of the two metals, as provided by the Joint FAO/WHO Joint Expert Committee on Food Additives (JECFA). THE PTWI is defined as the maximum intake of contaminants in food that may be consumed on a weekly basis over a lifetime without causing any adverse health effects. For MeHg, the PTWI is set at 1.6 µg/kg body weight [43], whereas for cadmium, the JECFA has determined that indicating the tolerable intake monthly is more appropriate than weekly due to the metal’s long half-life. Thus, the PTMI for cadmium is set at 25 µg/kg body weight [44]. For the exposure assessment of mercury, a precautionary approach was applied assuming that the total mercury in fish was entirely in the form of MeHg [38]. As a worst-case scenario for cadmium, the consumer exposure was calculated assuming a fish intake of 30 times per month (one portion/day) for each fish species. The calculations were not performed for arsenic and lead as no PTWI values are available for these metals. In this paper, the potential consumer exposure was assessed for an average African adult of 60 kg and a 23-month-old child of 12 kg, as depicted in the WHO growth chart for boys (the 50th percentile was selected) [45,46]. Fish serving sizes equivalent to the ones utilised in the calculations for RNI (50 g fish/day for adults and 25 g fish/day for infants) were used when calculating the potential consumer exposure.

3. Results and Discussion

This paper is the first to present comprehensive analytical information on the nutrient composition and concentration of metals in five commonly consumed marine fish species sampled off the coast of Angola. The nutrient composition of two of the sampled species, Lagocephalus laevigatus (described in the Supplementary Materials due to its low relevance as a food fish, Table S1) and Trachurus trecae, has never been reported in the scientific literature before. To the best of our knowledge, this is also the first study to analyse and report on the mineral content of Caranx rhonchus and Sardinella maderensis and the first study to report the arsenic, cadmium, mercury, and lead content in any fish species sampled from Angola.

3.1. Proximate Composition

The proximate composition of the sampled fish species is described in Table 3. The protein content ranged from 19 to 23 g/100 g with the highest content identified in Caranx rhonchus. In a previous study from Tunisia, this species was identified as being particularly high in muscle protein content with values ranging from 18 to 22 g/100 g when compared to other marine fish species [47]. The protein content in fish is fairly stable, typically varying between 15% and 20% in muscle tissue, and is considered to be of high quality due to the balanced amino acid profile consisting of significant amounts of all nine essential amino acids for human nutrition [48,49,50,51]. Additionally, the protein found in fish is easily digestible due to there being very little connective tissue [52,53]. Previous studies have found that even small amounts of high-quality protein from animal sources such as fish yield significant improvements in maternal health and child development when included in plant-based diets due to a high content of micronutrients and other enhancing properties (referred to as the “meat factor”) [54,55]. The composition of lipids in fish is the most heterogeneous component and may differ according to geographical region, seasonal variations, environment (water temperature, salinity, and pressure), diet/food supply, and the maturity, sex, and reproductive stage of the fish [48,51,56,57]. In this paper, the total lipid content varied greatly with a range of 0.43–6.98 g/100 g, categorising all fish species (with the exception of Lagocephalus laevigatus) as intermediate (2–8% of the total lipid content) according to the Norwegian and Danish categorisation of lipid content as a percentage of total body weight [58]. As previously described by others, and as shown by a negative correlation coefficient of 0.8 in this paper, an inverse relationship exists between the water content and the lipid content in fish where the water content increases as the content of lipids decreases [48,58].

3.2. Mineral Composition

The concentrations of selected minerals in the five sampled fish species are presented in Table 4. Overall, the mineral content varied considerably among the fish species. When comparing the mineral levels to the FAO mean concentration range in fish muscle as compiled by Mogobe et al. [59], all values fall within the mean ranges apart from those for potassium and iron. The potassium content in the sampled species (456–596 mg/100 g) is slightly higher than the FAO mean range of 19–502 mg/100 g, whereas the iron range is marginally lower (0.23–1.84 and 1–5.6 mg/100 g, respectively). As addressed in several other studies [16,60,61,62,63,64], which anatomical components of the fish are analysed and subsequently consumed (bones, skin, head, viscera) significantly affects the nutrient yield. For example, in a study from Cambodia, Roos et al. [64] reported a 60% reduction in total iron content in the small indigenous species E. longimanus when the head and viscera of the fish were removed, suggesting that this may be where most of the iron in fish is stored. Similarly, approximately 99% of the accumulated calcium and 80% of the phosphorus is stored in the bones, teeth, and scales of fish [57,65]. This explains the low calcium levels found in the sampled species from Angola compared to in other studies where whole fish have been analysed [62,63,66], as neither heads nor viscera were included in the analyses in this paper. In a study including 367 species of fish from 43 different countries, Hicks et al. [15] reported higher concentrations of calcium, iron, and zinc in species from warmer and shallower waters compared to in polar and/or deep-water species. If comparing the clustered means for zinc and iron in the sampled species from Angola to mean values in fillets of five of the most commonly consumed marine wild fish species in the North Atlantic sea (haddock, Atlantic cod, Atlantic halibut, Atlantic mackerel, and Atlantic salmon), the zinc content of the sampled species from Angola (0.46 ± 0.1 mg/100 g) exceeded that of haddock, cod, halibut, and salmon (0.3 ± 0 mg/100 g, 0.4 ± 0.1 mg/100 g, 0.43 ± 0.2 mg/100 g, and 0.4 ± 0.04, respectively). For iron, the mean content in the sampled species (1.0 ± 0.6 mg/100 g) also exceeded that of haddock, cod, halibut, and salmon (0.1 ± 0.04 mg/100 g, 0.2 ± 0.04 mg/100 g, 0.1 ± 0.1 mg/100 g, and 0.48 ± 0.2 mg/100 g, respectively) [67]. As argued by Hicks et al. [15], a plausible explanation for this difference in mineral content between various tropical climates may be the heavy rainfall that commonly occurs in tropical regions, where the micronutrients normally present in the soil are washed into the ocean and thus enter the marine food chains.

3.3. Contribution to Recommended Nutrient Intakes

Figure 1 and Figure 2 display the sampled fish species’ potential contributions to the RNI of women and infants age 7–23 months when portions of 50 g and 25 g, respectively, are consumed. Several species were identified to potentially contribute between 5% and 15% of the RNI for both women and infants of the selected nutrients. The potential contribution to the RNI of iodine was greater than that for the other minerals, with a mean for all species of 9.4% for women and 7.8% for infants, whereas the contribution to the RNI of calcium was the lowest with a mean value of 2% for both women and infants. Compared to other studies where the contents of similar nutrients in fish have been evaluated in reference to the RNI using a 50 g serving size, the findings of this study were less substantial. For example, when analysing the nutrient content of 55 fish species from Bangladesh, Bogard et al. [60] identified 14 and 18 species (prepared as both fillets and as whole fish) that would meet ≥50% of the RNI for calcium for pregnant and lactating women and infants (25 g serving size for infants), respectively. For iron, three species were identified to potentially meet ≥25% of the RNI for both groups (all prepared whole). In India, Mohanty et al. [68] identified several marine and freshwater species that met ≥100% of the RNI for an average man for calcium, iron, and zinc (a 25 g serving size was used when estimating the RNI of calcium). However, it is important to emphasise that different anatomical parts of the fish were included in these analyses and calculations, and as previously mentioned, which parts of the fish are consumed will significantly affect the nutrient yield [16,60,61,62,63,64]. In one of the very few African studies to describe the nutrient content in fish compared to the RNI, the mineral compositions of five freshwater fish species from Botswana have been described [59]. In this study, the authors reported considerable differences between small species consumed whole and large species that were filleted; the two small species were able to meet ≥100% of the RNI of calcium, whereas the large species were able to meet 40–60% (estimated for women, using a portion size of 100 g raw fish). The two small species were found to meet 27% of the RNI for iron and approximately 100% for zinc, whereas the large species were found to contribute considerably less. Nevertheless, in Bangladesh, Nordhagen et al. [69] reported mineral levels in several marine fish species where only the fillet (including the skin) was analysed and found that they met ≥50% of the RNI for women for calcium and ≥25% for zinc (when a 100 g portion is consumed). For iron, the values (10–15% of RNI) were in line with the results reported in this paper.

3.4. Comparison to Food Products of Terrestrial Animal Origin

The sampled fish species’ contribution to the RNI of protein, calcium, iron, and zinc compared to food products of terrestrial animal origin are presented in Figure 3. The sampled fish species were found to contribute more to the protein requirement with a mean protein value of 21 ± 1.3 g/100 g, compared to 15 ± 7.2 g/100 g for the terrestrial animal food products. Of the terrestrial animal food products, beef was the only product equivalent to the sampled fish species with a potential contribution of approximately 20% of the daily protein requirement of an adult. Milk and eggs were, together with the two Sardinella spp., the most significant sources of calcium, but a single serving was only estimated to meet approximately 5% of the RNI for women. For iron, most of the sampled fish species contributed considerably more to the RNI than any of the terrestrial animal food products. The two Sardinella spp. were found to both contribute between 10% and 15% to the RNI, whereas beef, the animal product with the highest iron content, only covered approximately 2.5% of the RNI. For zinc, pork and beef substantially exceeded all the fish species’ potentials to meet the RNI. Nevertheless, common to both fish and terrestrial animal food products is that they provide multiple micronutrients simultaneously, which is important in diets lacking in more than one nutrient. Furthermore, despite a relatively low contribution of the sampled fish species to RNI when compared with other studies, this comparison to terrestrial animal food products highlights the nutrient density of fish, as most of the sampled fish species are equally as nutrient dense as, or have a higher nutrient density than the selected terrestrial animal food products.

3.5. Fish for Food and Nutrition Security in Angola

The Angola Nutrition Gap Analysis from 2011 identified several priority interventions that should be included in national nutrition policies for Angola: micronutrient powders for young children, iron fortification of staple foods, zinc supplementation for the treatment of diarrhoea in children, and iodine supplementation for pregnant women. However, as of 2019, the interventions are yet to be finalised for inclusion in a national nutrition policy or any other policy documents [7]. Food-based strategies, including dietary diversification, is recognised as one of the most long-term sustainable and cost-effective solutions to improve food and nutrition security in low- and middle-income countries, such as Angola [70]. As demonstrated in this paper, fish is a rich source of several micronutrients, but inter-species variation is evident. The availability of accurate and up-to-date food composition data is, therefore, essential to be able to identify foods rich in micronutrients and successfully promote and implement strategies to increase the consumption of these. Considering the current low intakes of iron and zinc in developing countries, particularly by vulnerable groups like women and children [71,72], fish has the potential to make an important contribution to the intake of these nutrients. A large proportion of the iron present in fish is in the form of haem iron, which has a higher bioavailability than the non-haem iron typically found in non-animal food products such as legumes, cereals, fruits, and vegetables, including the elemental iron present in supplements and used for food fortification [16,73,74,75]. In plant-based diets such as the maize-dependent diet prevalent in Angola, the type and quality of the dietary iron consumed may therefore be of greater importance than the total dietary iron intake [76]. Additionally, muscle tissue from animal food products such as fish enhances the absorption of iron and zinc from cereal and tuber-based diets; thus, including even small quantities of fish in the diet may enhance overall micronutrient bioavailability [16,39,75,77,78]. This is of particular importance in Angola and other sub-Saharan countries, where the prevalence of iron deficiency in women is among the highest in the world [8]. In the new version of the FAO/INFOODS Food Composition Table for Western Africa (2019), three of the fish species sampled in this study are included, although referred to only by genus and not by specific species [28]. For example, for the food item “sardines”, all species of the genus Sardinella are included in the description (the genus includes 22 known species), and for “barracuda”, all species of the genus Sphyraena are included (the genus includes 28 known species). However, Atlantic horse mackerel is described as an individual food item and is specific only to the fish species Trachurus trachurus, not the entire Trachurus genus (which then would have included our sample of Trachurus trecae). Considerable differences between species of the same genus have been observed [69,79]. This can also be illustrated when comparing the mineral content of Sphyraena guachancho, as sampled in this paper, and samples of Sphyraena jello from Sri Lankan waters [63] (both known as barracudas); the concentrations of the minerals calcium, iron, iodine, and selenium vary considerably between the two species. A considerable difference between the two samples of Sardinella was also observed in this paper, where the content of particularly iodine and selenium varied substantially. The analytical data presented in this paper may therefore be of great value for the further development of the West African food composition table, either as a means to increase the number of data points/sources for already established food groups/items or as a foundation for increasing the number of species included in the FCT.

3.6. Concentration of Chemical Contaminants

The arsenic, cadmium, mercury, and lead concentrations in the various fish samples from Angola, expressed on a w.w. basis, are presented in Table 5. None of the samples exceeded the Europeans Union’s (EU) maximum levels for mercury, cadmium, or lead in fish (0.5, 0.050, and 0.30 mg/kg, respectively [80]). No maximum level for arsenic in fish has yet been established. Fish is a major source of arsenic exposure for humans, but the majority of the arsenic is in the non-toxic form of inorganic arsenic [81]. The total mercury concentration in the muscle tissue (n = 1) of Caranx rhonchus was found to be 1.701 mg/kg w.w. in a study from Italy [82], which is substantially higher than the results presented in our study for this species. A study from Senegal reported levels of lead in samples of Sardinella aurita (n = 50) similar to our results, whereas the level of cadmium was considerably higher (0.01–0.20 mg/kg w.w.) [83]. As this is, to the best of our knowledge, the first study to quantify the arsenic, cadmium, mercury, and lead contents in any fish species sampled from Angola’s marine waters, more studies are needed to be able to compare contaminant levels both within and across fish species from Angolan waters and to further monitor possible changes in the concentrations of metals. Moreover, in order to conduct more accurate risk–benefit analyses connected to the consumption of fish in Angola, more studies are also needed on the levels of metals and other contaminants in processed fish. The most common processing methods include salt-drying, sun-drying, and smoking, and due to the absence of a nationwide distribution system for fresh fish, it can be assumed that a large proportion of the fish is processed in some such way before transportation to nearby villages and larger towns [2].

3.7. Potential Consumer Exposure

Figure 4 illustrates to what extent one portion of the various fish species from Angola contributes to the PTWI and PTMI for MeHg and cadmium, respectively, for adults. The largest contribution to the PTWI for MeHg was from Sphyraena guachancho, which contributed 9%, whereas the lowest contribution was from Sardinella aurita, with a little under 2%. This means that in a worst-case scenario where Sphyraena guachancho is consumed every day for a week, the PTWI would still not be exceeded. A worst-case scenario was also selected for the evaluation of the consumer exposure to cadmium, where we assumed that each species is consumed every day for a month (30 times/month). We found that none of the species exceeded 1% of the PTMI; thus, it can be assumed that the sampled species from Angola are not significant sources of cadmium exposure for humans. It is also very unlikely that an individual’s entire monthly fish intake would consist of a single species. Figure 5 illustrates the potential consumer exposure to MeHg and cadmium for children. For this group, Sphyraena guachancho was found to contribute 22% to the PTWI of MeHg. Thus, in a worst-case scenario where this species is consumed every day for a week, the PTWI would be exceeded at 154%. However, the other species were found to contribute far less; Sardinella maderensis was the second largest contributor at only 6%. As the samples of Sphyraena guachancho were almost twice as large as the rest of the species, this observation is not unexpected. Generally, higher concentrations of mercury are observed in larger and older fish positioned higher in the food chain [38]. Mercury exposure is of particular concern in young children due to the neurodevelopmental toxicity of MeHg [84]. In this study, a conservative approach assuming that 100% of the mercury present in the sampled fish species was in the toxic form of MeHg was taken. This is in line with the approach taken in the exposure assessment for mercury conducted by the European Food Safety Authority (EFSA, [38]) and other studies where the content of MeHg has been found to account for 80–100% of the total mercury in fish. [85]. Our results showed that if Sardinella maderensis, the sampled fish species with the highest content of cadmium, was consumed every day for a month, this would only account for approximately 1.5% of the PTMI for children. Nevertheless, it should be mentioned that in this evaluation, only exposure to fish has been assessed. Other seafood, such as cephalopods, shrimps, lobsters, and crabs, likely constitute an important part of the Angolan diet as well, and as major sources of metal exposure [38,86], the consumer exposure to cadmium and MeHg is possibly increased when evaluating the group “seafood” as a whole.

3.8. Limitations

The contribution of fish to the RNI is not only determined by the nutrient content of the species, but also by the local processing methods and eating patterns [16]. Thus, studies are also needed to indicate the nutrient content of the edible parts of the fish by reflecting the local methods used to clean and prepare the fish for a meal. The fish samples in this study were filleted, but as in other African countries, it could be assumed that a large share of the fish consumed in Angola is consumed whole, especially fish of smaller size [16,31,59]. However, no dietary studies on fish intake and preparation and processing methods in Angola are available in the scientific literature. Moreover, the actual portion size consumed in the country is of great importance when estimating the RNI. As no dietary surveys or household data were found for Angola, estimating accurate and representable portion sizes for different population groups is difficult. In Nigeria, another west African coastal country, household data indicate fish intake to be between 124 and 217 g/day [87], whereas the national statistics indicate a consumption level of 24.6 g/day [16]. As argued by Kawarazuka et al. [16], scattered intake data for fish in the literature suggest a mean intake of approximately 70–150 g/day in Africa; a range where each extremity would have significantly affected the calculations of the species’ contribution to the RNI. Furthermore, the RNI in this study was calculated for raw fish; however, dietary bioavailability, the quantity of nutrients in the fish samples, and the weight and volume of the fish is influenced by the method of preparation/processing (sun-drying, salting, boiling, smoking, etc.) [25,72].

4. Conclusions

The levels of several nutrients and chemical contaminants in five marine fish species sampled from the coast of Angola are described in this paper. All the sampled fish species are good sources of several key nutrients when included in the diet. The species were identified to contribute 5–15% of the RNI for calcium, iodine, iron, and zinc for women and children. Compared to other studies where the whole fish (including bones, head, and viscera) were commonly consumed and included in the calculations, this is not a substantial contribution. However, when compared to the nutrient values of other food products of terrestrial animal origin—such as beef, chicken, and milk—the sampled fish species were identified to contribute more to the recommended intakes for both protein and iron, approximately the same for calcium, and less for zinc. None of the sampled fish species exceeded the EU maximum levels for cadmium, mercury, or lead, and the potential consumer exposure to cadmium and MeHg may be considered small for both adults and children. To the best of our knowledge, this is the first study where fish from the coastal waters of Angola have been analysed for nutrients and/or contaminants, and these data provide an important contribution to addressing the food composition data challenge in several African countries.

Supplementary Materials

The following are available online at https://www.mdpi.com/2304-8158/9/5/629/s1, Table S1: analytical values of selected nutrients and contaminants in composite samples (n = 5) of fillets of Lagocephalus laevigatus (smooth puffer) from Angola (mean standard ± deviation).

Author Contributions

Conceptualization, M.K. and J.K.; methodology, M.K. and J.K.; validation, A.-K.L. and M.K.; formal analysis, A.M.R. and S.M.C.; investigation, S.M.C.; resources, M.K.; data curation, A.M.R.; writing—original draft preparation, A.M.R.; writing—review and editing, A.M.R., A.M.J.C.V., E.B.N.N., S.M.C., M.A., A.U., A-K.L., J.K. and M.K.; visualization, A.M.R.; supervision, M.K.; project administration, M.K.; funding acquisition, M.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Norwegian Agency for Development Cooperation (Norad).

Acknowledgments

The authors are grateful to Anne-Karin Syversen, Leikny Fjellstad, and Edel Erdal for their positive and enthusiastic engagement in organising the project samples stored and analysed at the IMR. We would also like to express our gratitude to all the laboratory technicians at IMR that have contributed to producing high-quality analytical data. Finally, we would like to acknowledge Gabriella Bianchi and Merete Tandstad for their help and guidance in the EAF-Nansen project.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Abbreviation

UHTUltra-high-temperature processing
Cacalcium
Feiron
Iiodine
Kpotassium
Mgmagnesium
Nasodium
Pphosphorus
SDstandard deviation
Seselenium
Znzinc
Asarsenic
Cdcadmium
Hgmercury
Pblead
SDstandard deviation
w.w.wet weight

References

  1. Shannon, V. A plan comes together. Large Mar. Ecosyst. 2006, 14, 3–10. [Google Scholar]
  2. FAO 2014–2019. Fishery and Aquaculture Country Profiles. Available online: http://www.fao.org/fishery/facp/AGO/en (accessed on 12 January 2020).
  3. Sowman, M.; Cardoso, P. Small-scale fisheries and food security strategies in countries in the Benguela Current Large Marine Ecosystem (BCLME) region: Angola, Namibia and South Africa. Mar. Policy 2010, 34, 1163–1170. [Google Scholar] [CrossRef]
  4. WorldFish; Food and Agriculture Organization of the United Nations; Duke University. Illuminating Hidden Harvests: The Contribution of Small-Scale Fisheries to Sustainable Development: Program Brief; WorldFish: Penang, Malaysia; Food and Agriculture Organization of the United Nations: Rome, Italy; Duke University: Durham, NC, USA, 2018. [Google Scholar]
  5. FAO. FAO yearbook. In Fishery and Aquaculture Statistics 2017; FAO: Rome, Italy, 2019. [Google Scholar]
  6. Humbwavali, J.B.; Giugliani, C.; Nunes, L.N.; Dalcastagnê, S.V.; Duncan, B.B. Malnutrition and its associated factors: A cross-sectional study with children under 2 years in a suburban area in Angola. BMC Public Health 2019, 19, 220. [Google Scholar] [CrossRef]
  7. McDonald, C.; Hyder, Z.; Albino Cossa, H. Angola Nutrition Gap Analysis. In Health, Nutrition and Population (HNP) Discussion Paper; World Bank: Washington, DC, USA, 2011; Available online: https://openknowledge.worldbank.org/handle/10986/13582 (accessed on 8 December 2019).
  8. Kassebaum, N.J.; Jasrasaria, R.; Naghavi, M.; Wulf, S.K.; Johns, N.; Lozano, R.; Regan, M.; Weatherall, D.; Chou, D.P.; Eisele, T.P.; et al. A systematic analysis of global anemia burden from 1990 to 2010. Blood 2014, 123, 615–624. [Google Scholar] [CrossRef] [PubMed]
  9. WHO. Global Health Observatory Data Repository: Prevalence of Anemia in Women. Available online: http://apps.who.int/gho/data/node.main.ANAEMIAWOMEN?lang=en (accessed on 17 December 2019).
  10. UNICEF. Under-Five Mortality. Available online: https://data.unicef.org/topic/child-survival/under-five-mortality/ (accessed on 14 February 2020).
  11. European Commission. Country Profile on Nutrition: Angola. Available online: https://ec.europa.eu/international-partnerships/system/files/2017-country-profile-on-nutrition-angola_en.pdf (accessed on 17 December 2019).
  12. Global Nutrition Report. Angola Nutrition Profile. Available online: https://globalnutritionreport.org/media/profiles/v1.9.7/pdfs/angola.pdf (accessed on 8 January 2020).
  13. Chan, C.Y.; Tran, N.; Pethiyagoda, S.; Crissman, C.C.; Sulser, T.B.; Phillips, M.J. Prospects and challenges of fish for food security in Africa. Glob. Food Secur. 2019, 20, 17–25. [Google Scholar] [CrossRef]
  14. Khalili Tilami, S.; Sampels, S. Nutritional Value of Fish: Lipids, Proteins, Vitamins, and Minerals. Rev. Fish Sci. Aquac. 2017, 26, 243–253. [Google Scholar] [CrossRef]
  15. Hicks, C.C.; Cohen, P.J.; Graham, N.A.J.; Nash, K.L.; Allison, E.H.; D’Lima, C.; Mills, D.J.; Roscher, M.; Thilsted, S.H.; Thorne-Lyman, A.L.; et al. Harnessing global fisheries to tackle micronutrient deficiencies. Nature 2019, 574, 95–98. [Google Scholar] [CrossRef] [Green Version]
  16. Kawarazuka, N.; Bene, C. The potential role of small fish species in improving micronutrient deficiencies in developing countries: Building evidence. Public Health Nutr. 2011, 14, 1927–1938. [Google Scholar] [CrossRef] [Green Version]
  17. Ali, H.; Khan, E.; Ilahi, I. Environmental Chemistry and Ecotoxicology of Hazardous Heavy Metals: Environmental Persistence, Toxicity, and Bioaccumulation. J. Chem. 2019, 2019. [Google Scholar] [CrossRef] [Green Version]
  18. Bradl, H.B. (Ed.) Heavy Metals in the Environment: Origin, Interaction and Remediation; Academic Press: London, UK, 2005; Volume 6. [Google Scholar]
  19. He, Z.L.; Yang, X.E.; Stoffella, P.J. Trace elements in agroecosystems and impacts on the environment. J. Trace Elem. Med. Bio. 2005, 19, 125–140. [Google Scholar] [CrossRef]
  20. Jarup, L. Hazards of heavy metal contamination. Br. Med. Bull. 2003, 68, 167–182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Singh, R.; Gautam, N.; Mishra, A.; Gupta, R. Heavy metals and living systems: An overview. Indian J. Pharm. 2011, 43, 246–253. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Tchounwou, P.B.; Yedjou, C.G.; Patlolla, A.K.; Sutton, D.J. Heavy metal toxicity and the environment. Exp. Suppl. 2012, 101, 133–164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Scaling Up Nutrition. Nutrition and the Sustainable Development Goals. Available online: https://scalingupnutrition.org/nutrition/nutrition-and-the-sustainable-development-goals/ (accessed on 11 February 2020).
  24. Ene-Obong, H.; Schönfeldt, H.C.; Campaore, E.; Kimani, A.; Mwaisaka, R.; Vincent, A.; El Ati, J.; Kouebou, P.; Presser, K.; Finglas, P.; et al. Importance and use of reliable food composition data generation by nutrition/dietetic professionals towards solving Africa’s nutrition problem: Constraints and the role of FAO/INFOODS/AFROFOODS and other stakeholders in future initiatives. Proc. Nutr. Soc. 2019, 78, 496–505. [Google Scholar] [CrossRef] [PubMed]
  25. Greenfield, H.; Southgate, D. Food Composition Data—Production, Management and Use, 2nd ed.; Burlingame, B.A., Charrondiere, U.R., Eds.; FAO: Rome, Italy, 2003. [Google Scholar]
  26. SAFOODS. South Africa Food Data Systems: Brief History. Available online: http://safoods.mrc.ac.za/about.html (accessed on 22 January 2020).
  27. Stadlmayr, B.; Charrondiere, U.; Enujiugha, V.; Bayili, G.; Fagbohoun, E.; Samb, B.; Addy, P.; Barikmo, I.; Ouattara, F.; Oshaug, A.; et al. West African Food Composition Table/Table De Composition Des Aliments D’afrique De L’ouest; FAO: Rome, Italy, 2012. [Google Scholar]
  28. Vincent, A.; Grande, F.; Compaoré, E.; Amponsah Annor, G.; Addy, P.A.; Aburime, L.C.; Ahmed, D.; Bih Loh, A.M.; Dahdouh Cabia, S.; Deflache, N.; et al. FAO/INFOODS Food Composition Table for Western Africa (2019) User Guide & Condensed Food Composition Table/Table de Composition des Aliments FAO/INFOODS Pour L’afrique de L’ouest (2019) Guide D’utilisation & Table de Composition des Aliments Condensée; FAO: Rome, Italy, 2020. [Google Scholar]
  29. Stadlmayr, B.; Charrondiere, U.R.; Burlingame, B. Development of a regional food composition table for West Africa. Food Chem. 2013, 140, 443–446. [Google Scholar] [CrossRef]
  30. FAO/WHO. Report of the Joint FAO/WHO Expert Consultation on the Risks and Benefits of Fish Consumption; Food and Agriculture Organization of the United Nations: Rome, Italy; World Health Organization: Geneva, Switzerland, 2011; p. 50. [Google Scholar]
  31. Check Longley, C.; Thilsted, S.H.; Beveridge, M.; Cole, S.; Nyirenda, D.B.; Heck, S.; Hother, A.-L. The role of fish in the first 1000 days in Zambia. IDS Bull. 2014, September, 27–37. [Google Scholar]
  32. Reksten, A.M.; Bøkevoll, A.; Frantzen, S.; Lundebye, A.-K.; Kögel, T.; Kolås, K.; Aakre, I.; Kjellevold, M. Sampling protocol for determination of nutrients and contaminants in fish and other seafood—The EAF Nansen Programme. MethodsX. unpublished.
  33. Froese, R.; Pauly, D. FishBase. Available online: www.fishbase.org (accessed on 3 December 2019).
  34. Norwegian Standard 9402 (Norsk Standard). Atlantic salmon. In Measurement of Fat and Colour, 1st ed.; (Atlantisk laks. Måling av fett og farge. Første utgave); Standard Norge: Oslo, Norway, 1994. [Google Scholar]
  35. AOAC. Crude Protein in Meat and Meat Products, Combustion Method, 16th ed.; Method 992.15; AOAC: Arlington, VA, USA, 1995. [Google Scholar]
  36. Julshamn, K.; Maage, A.; Norli, H.S.; Grobecker, K.H.; Jorhem, L.; Fecher, P. Determination of arsenic, cadmium, mercury, and lead by inductively coupled plasma/mass spectrometry in foods after pressure digestion: NMKL interlaboratory study. J. AOAC Int. 2007, 90, 844–856. [Google Scholar] [CrossRef] [Green Version]
  37. Julshamn, K.; Dahl, L.; Eckhoff, K. Determination of iodine in seafood by inductively coupled plasma/mass spectrometry. J. AOAC Int. 2001, 84, 1976–1983. [Google Scholar] [CrossRef] [Green Version]
  38. EFSA Panel on Contaminants in the Food Chain (CONTAM). Scientific Opinion on the risk for public health related to the presence of mercury and methylmercury in food. EFSA J. 2012, 10, 2985. [Google Scholar] [CrossRef]
  39. WHO; FAO. Vitamin and Mineral Requirements in Human Nutrition, 2nd ed.; WHO: Geneva, Switzerland; FAO: Rome, Italy, 2004. [Google Scholar]
  40. Mwangi, M.N.; Phiri, K.S.; Abkari, A.; Gbané, M.; Bourdet-Sicard, R.; Braesco, V.A.; Zimmermann, M.B.; Prentice, A.M. Iron for Africa—Report of an Expert Workshop. Nutrients 2017, 9, 576. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Hoppe, M.; Hulthén, L.; Hallberg, L. The importance of bioavailability of dietary iron in relation to the expected effect from iron fortification. Eur. J. Clin. Nutr. 2008, 62, 761–769. [Google Scholar] [CrossRef] [Green Version]
  42. Wu, G. Dietary protein intake and human health. Food Funct. 2016, 7, 1251–1265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  43. Joint FAO/WHO Expert Committee on Food Additives. Evaluation of Certain Food Additives and Contaminants: Sixty-Seventh Report of the Joint FAO/WHO Expert Committee on Food Additives; FAO: Rome, Italy, 2006. [Google Scholar]
  44. Joint FAO/WHO Expert Committee on Food Additives. Evaluation of Certain Food Additives and Contaminants. In Proceedings of the 73rd Joint FAO/WHO Expert Committee on Food Additives (JECFA) Meeting—Food Additives and Contaminants, Geneva, Switzerland, 8–17 June 2010. [Google Scholar]
  45. WHO. The WHO Child Growth Standards. Available online: https://www.who.int/childgrowth/standards/en/ (accessed on 4 January 2020).
  46. Walpole, S.C.; Prieto-Merino, D.; Edwards, P.; Cleland, J.; Stevens, G.; Roberts, I. The weight of nations: An estimation of adult human biomass. BMC Public Health 2012, 12, 439. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Ketata Khitouni, I.; Abdelmouleh, A.; Bouain, A.; Boudhrioua Mihoubi, N. Variations of the chemical composition of five coastal catch fish species of the Gulf of Gabès (Tunisia). Cybium Int. J. Ichtyology 2010, 34, 175–183. [Google Scholar]
  48. Huss, H.H. Quality and Quality Changes in Fresh Fish: FAO Fisheries Technical Paper—348; FAO: Rome, Italy, 1995. [Google Scholar]
  49. EFSA NDA Panel (EFSA Panel on Dietetic Products, Nutrition and Allergies). Scientific Opinion on health benefits of seafood (fish and shellfish) consumption in relation to health risks associated with exposure to methylmercury. EFSA J. 2014, 12, 3761. [Google Scholar] [CrossRef] [Green Version]
  50. Larsen, R.; Eilertsen, K.-E.; Elvevoll, E.O. Health benefits of marine foods and ingredients. Biotechnol. Adv. 2011, 29, 508–518. [Google Scholar] [CrossRef]
  51. Murray, J.; Burt, J.R. The Composition of Fish. Available online: http://www.fao.org/wairdocs/tan/x5916e/x5916e01.htm (accessed on 3 November 2019).
  52. Norwegian Scientific Committee for Food Safety (VKM). A Comprehensive Assessment of Fish and other Seafood in the Norwegian Diet; VKM: Oslo, Norway, 2006; p. 173. Available online: https://vkm.no/download/18.13735ab315cffecbb5156f8e/1502818024998/d94dff429b.pdf (accessed on 7 January 2020).
  53. Norwegian Scientific Committee for Food Safety (VKM). Benefit-Risk Assessment of Fish and Fish Products in the Norwegian Diet—An Update. In Scientific Opinion of the Scientific Steering Committee; VKM Report 15; VKM: Oslo, Norway, 2014; p. 293. Available online: https://vkm.no/download/18.2994e95b15cc54507161ea1a/1498222018046/0a646edc5e.pdf (accessed on 7 December 2019).
  54. Neumann, C.G.; Bwibo, N.O.; Murphy, S.P.; Sigman, M.; Whaley, S.; Allen, L.H.; Guthrie, D.; Weiss, R.E.; Demment, M.W. Animal source foods improve dietary quality, micronutrient status, growth and cognitive function in Kenyan school children: Background, study design and baseline findings. J. Nutr. 2003, 133, 3941–3949. [Google Scholar] [CrossRef] [Green Version]
  55. Dagnelie, P.C.; van Dusseldorp, M.; van Staveren, W.A.; Hautvast, J.G. Effects of macrobiotic diets on linear growth in infants and children until 10 years of age. Eur. J. Clin. Nutr. 1994, 48, 103–111. [Google Scholar]
  56. EFSA Panel on Contaminants in the Food Chain. Opinion of the Scientific Panel on contaminants in the food chain [CONTAM] related to the safety assessment of wild and farmed fish. EFSA J. 2005, 3, 236. [Google Scholar] [CrossRef]
  57. FAO Aquaculture Development and Coordination Programme (ADCP). Fish Feed Technology; FAO: Rome, Italy, 1980; p. 395. [Google Scholar]
  58. Yeannes, M.; Almandos, M. Estimation of fish proximate composition starting from water content. J. Food Compos. Anal. 2003, 16, 81–92. [Google Scholar] [CrossRef]
  59. Mogobe, O.; Mosepele, K.; Masamba, W.R. Essential mineral content of common fish species in Chanoga, Okavango Delta, Botswana. Afr. J. Food Sci. 2015, 9, 480–486. [Google Scholar] [CrossRef] [Green Version]
  60. Bogard, J.R.; Thilsted, S.H.; Marks, G.C.; Wahab, M.A.; Hossain, M.A.R.; Jakobsen, J.; Stangoulis, J. Nutrient composition of important fish species in Bangladesh and potential contribution to recommended nutrient intakes. J. Food Compos. Anal. 2015, 42, 120–133. [Google Scholar] [CrossRef] [Green Version]
  61. Roos, N.; Islam, M.M.; Thilsted, S.H. Small indigenous fish species in Bangladesh: Contribution to vitamin A, calcium, and iron intakes. J. Nutr. 2003, 133, 4021–4026. [Google Scholar] [CrossRef]
  62. Roos, N.; Islam, M.; Thilsted, S.H. Small fish is an important dietary source of vitamin A and calcium in rural Bangladesh. Int. J. Food Sci. Nutr. 2003, 54, 329–339. [Google Scholar] [CrossRef]
  63. Reksten, A.M.; Somasanduram, T.; Kjellevold, M.; Nordhagen, A.; Bøkevoll, A.; Pincus, L.M.; Rizwan, A.A.M.; Mamun, A.; Thilsted, S.H.; Htut, T.; et al. Nutrient composition of 19 fish species from Sri Lanka and potential contribution to food and nutrition security. J. Food Compos. Anal. accepted. [CrossRef]
  64. Roos, N.; Thorseng, H.; Chamnan, C.; Larsen, T.; Gondolf, U.H.; Bukhave, K.; Thilsted, S.H. Iron content in common Cambodian fish species: Perspectives for dietary iron intake in poor, rural households. Food Chem. 2007, 104, 1226–1235. [Google Scholar] [CrossRef]
  65. Malde, M.K.; Bügel, S.; Kristensen, M.; Malde, K.; Graff, I.E.; Pedersen, J.I. Calcium from salmon and cod bone is well absorbed in young healthy men: A double-blinded randomised crossover design. J. Nutr. Metab. 2010, 7, 61. [Google Scholar] [CrossRef] [Green Version]
  66. Bogard, J.R.; Farook, S.; Marks, G.C.; Waid, J.; Belton, B.; Ali, M.; Toufique, K.; Mamun, A.; Thilsted, S.H. Higher fish but lower micronutrient intakes: Temporal changes in fish consumption from capture fisheries and aquaculture in Bangladesh. PLoS ONE 2017, 12, e0175098. [Google Scholar] [CrossRef] [Green Version]
  67. Institute of Marine Research (IMR). Seafood Data. Available online: https://sjomatdata.hi.no/#search/ (accessed on 7 January 2020).
  68. Mohanty, B.P.; Sankar, T.V.; Ganguly, S.; Mahanty, A.; Anandan, R.; Chakraborty, K.; Paul, B.N.; Sarma, D.; Dayal, J.S.; Mathew, S.; et al. Micronutrient Composition of 35 Food Fishes from India and Their Significance in Human Nutrition. Biol. Trace Elem. Res. 2016, 174, 448–458. [Google Scholar] [CrossRef]
  69. Nordhagen, A.; Rizwan, A.A.M.; Aakre, I.; Reksten, A.M.; Pincus, L.M.; Bøkevoll, A.; Mamun, A.; Thilsted, S.H.; Htut, T.; Somasanduram, T.; et al. Nutrient composition of demersal, pelagic, and mesopelagic fish species sampled off the coast of Bangladesh and their potential contribution to food and nutrition security—The EAF Nansen Programme. Foods. unpublished.
  70. Demment, M.W.; Young, M.M.; Sensenig, R.L. Providing Micronutrients through Food-Based Solutions: A Key to Human and National Development. J. Nutr. 2003, 133, 3879–3885. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Bhutta, Z.A. Iron and zinc deficiency in children in developing countries. BMJ 2007, 334, 104–105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Gibson, R.S. Principles of Nutritional Assessment, 2nd ed.; Oxford University Press, Inc.: New York, NY, USA, 2005; p. 908. [Google Scholar]
  73. Wheal, M.S.; DeCourcy-Ireland, E.; Bogard, J.R.; Thilsted, S.H.; Stangoulis, J.C.R. Measurement of haem and total iron in fish, shrimp and prawn using ICP-MS: Implications for dietary iron intake calculations. Food Chem. 2016, 201, 222–229. [Google Scholar] [CrossRef] [Green Version]
  74. Rangan, A.; Ho, R.; Blight, G.; Binns, C. Haem iron content of Australian meats and fish. Food Aust. 1997, 49, 508–511. [Google Scholar]
  75. Abbaspour, N.; Hurrell, R.; Kelishadi, R. Review on iron and its importance for human health. J. Res. Med. Sci. 2014, 19, 164–174. [Google Scholar]
  76. Young, I.; Parker, H.M.; Rangan, A.; Prvan, T.; Cook, R.L.; Donges, C.E.; Steinbeck, K.S.; O’Dwyer, N.J.; Cheng, H.L.; Franklin, J.L.; et al. Association between Haem and Non-Haem Iron Intake and Serum Ferritin in Healthy Young Women. Nutrients 2018, 10, 81. [Google Scholar] [CrossRef] [Green Version]
  77. Roos, N.; Wahab, M.A.; Chamnan, C.; Thilsted, S.H. The role of fish in food-based strategies to combat vitamin A and mineral deficiencies in developing countries. J. Nutr. 2007, 137, 1106–1109. [Google Scholar] [CrossRef] [Green Version]
  78. Navas-Carretero, S.; Pérez-Granados, A.; Sarriá, B.; Carbajal, A.; Pedrosa, M.; Roe, M.; Fairweather-Tait, S.; Vaquero, M.P. Oily Fish Increases Iron Bioavailability of a Phytate Rich Meal in Young Iron Deficient Women. J. Am. Coll. Nutr. 2008, 27, 96–101. [Google Scholar] [CrossRef] [Green Version]
  79. Nerhus, I.; Wik Markhus, M.; Nilsen, B.M.; Oyen, J.; Maage, A.; Odegard, E.R.; Midtbo, L.K.; Frantzen, S.; Kogel, T.; Graff, I.E.; et al. Iodine content of six fish species, Norwegian dairy products and hen’s egg. Food Nutr. Res. 2018, 62. [Google Scholar] [CrossRef] [Green Version]
  80. Commission Regulation (EU). No 488/2014 of May 12. 2014 Amending Regulation (EC) No 1881/2006 as Regard Maximum Levels of Cadmium in Foodstuffs, Text with EEA Relevance. O. J. 2014, 138, 75–79. [Google Scholar]
  81. Francesconi Kevin, A. Arsenic species in seafood: Origin and human health implications. Pure App. Chem. 2010, 82, 373. [Google Scholar] [CrossRef]
  82. Bonsignore, M.; Salvagio Manta, D.; Oliveri, E.; Sprovieri, M.; Basilone, G.; Bonanno, A.; Falco, F.; Traina, A.; Mazzola, S. Mercury in fishes from Augusta Bay (southern Italy): Risk assessment and health implication. Food Chem. Toxicol. 2013, 56, 184–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Diop, M.; Howsam, M.; Diop, C.; Cazier, F.; Goossens, J.F.; Diouf, A.; Amara, R. Spatial and seasonal variations of trace elements concentrations in liver and muscle of round Sardinelle (Sardinella aurita) and Senegalese sole (Solea senegalensis) along the Senegalese coast. Chemosphere 2016, 144, 758–766. [Google Scholar] [CrossRef]
  84. Counter, S.A.; Buchanan, L.H. Mercury exposure in children: A review. Toxicol. Appl. Pharm. 2004, 198, 209–230. [Google Scholar] [CrossRef] [PubMed]
  85. Joint FAO/WHO Expert Committee on Food Additives (JECFA). Evaluation of Certain Contaminants in Food: Seventy-Second Report of the Joint FAO/WHO Expert Committee on Food Additives; FAO: Rome, Italy; WHO: Geneva, Switzerland, 2011. [Google Scholar]
  86. Scientific Opinion of the Panel on Contaminants in the Food Chain on a request from the European Commission on cadmium in food. EFSA J. 2009, 980, 1–139. [CrossRef]
  87. Gomna, A.; Rana, K. Inter-household and intra-household patterns of fish and meat consumption in fishing communities in two states in Nigeria. Br. J. Nr. 2007, 97, 145–152. [Google Scholar] [CrossRef]
Foods 09 00629 g001 550
Figure 1. The contribution of calcium, iodine, iron, and zinc (in percentage) to the recommended nutrient intake (RNI) for women of reproductive age, from the consumption of a 50 g portion fillet of the various fish species.
Figure 1. The contribution of calcium, iodine, iron, and zinc (in percentage) to the recommended nutrient intake (RNI) for women of reproductive age, from the consumption of a 50 g portion fillet of the various fish species.
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Foods 09 00629 g002 550
Figure 2. The contribution of calcium, iodine, iron, and zinc (in percentage) to the recommended nutrient intake (RNI) for infants during the first 1000 days of life, from the consumption of a 25 g portion fillet of the various fish species.
Figure 2. The contribution of calcium, iodine, iron, and zinc (in percentage) to the recommended nutrient intake (RNI) for infants during the first 1000 days of life, from the consumption of a 25 g portion fillet of the various fish species.
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Foods 09 00629 g003 550
Figure 3. The contribution of protein, calcium, iron, and zinc (in percentage) to the recommended nutrient intakes (RNI) for women, from the consumption of a 50 g portion fillet of the sampled fish species and various terrestrial animal food products.
Figure 3. The contribution of protein, calcium, iron, and zinc (in percentage) to the recommended nutrient intakes (RNI) for women, from the consumption of a 50 g portion fillet of the sampled fish species and various terrestrial animal food products.
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Foods 09 00629 g004 550
Figure 4. Potential consumer exposure to methylmercury (MeHg) and cadmium (Cd) for adults when a portion of 50 g fish fillet is consumed one time per week and every day for a month for MeHg and Cd, respectively. The potential consumer exposure is compared to the provisional tolerable weekly intake (PTWI) for MeHg and provisional tolerable monthly intake (PTMI) for Cd, as set by the Joint Expert Committee on Food Additives (JECFA).
Figure 4. Potential consumer exposure to methylmercury (MeHg) and cadmium (Cd) for adults when a portion of 50 g fish fillet is consumed one time per week and every day for a month for MeHg and Cd, respectively. The potential consumer exposure is compared to the provisional tolerable weekly intake (PTWI) for MeHg and provisional tolerable monthly intake (PTMI) for Cd, as set by the Joint Expert Committee on Food Additives (JECFA).
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Foods 09 00629 g005 550
Figure 5. Potential consumer exposure to methylmercury (MeHg) and cadmium (Cd) for children when a portion of 25 g fish fillet is consumed one time per week and every day for a month for MeHg and Cd, respectively. The potential consumer exposure is compared to the provisional tolerable weekly intake (PTWI) for MeHg and provisional tolerable monthly intake (PTMI) for Cd, as set by the JECFA.
Figure 5. Potential consumer exposure to methylmercury (MeHg) and cadmium (Cd) for children when a portion of 25 g fish fillet is consumed one time per week and every day for a month for MeHg and Cd, respectively. The potential consumer exposure is compared to the provisional tolerable weekly intake (PTWI) for MeHg and provisional tolerable monthly intake (PTMI) for Cd, as set by the JECFA.
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Table
Table 1. Identification details and overview of fish species sampled from Angola.
Table 1. Identification details and overview of fish species sampled from Angola.
Scientific Name aCommon Name aLocal NameHabitat aWeight (g) bLength (cm) bNumber of Composite Samples
Caranx rhonchusFalse scadChicharro amareloBenthopelagic244 (210–314)27.5 (26.5–30.5)5
Lagocephalus laevigatuscSmooth pufferBaiacuPelagic734 (429–1360)38.2 (32.5–44)5
Sardinella auritaRound sardinellaLombudaPelagic198 (176–237)27.6 (26.5–29)5
Sardinella maderensisMadeiran sardinellaPallhetaPelagic131 (116–151)25.5 (25–27)5
Sphyraena guachanchoGuachanche barracudaBarracudaPelagic-neritic509 (339–795)46.4 (41.5–53)5
Trachurus trecaeCunene horse mackerelCarapau do CuneneBenthopelagic200 (173–240)26.1 (24.5–29)5
a Scientific name, common name, and habitat confirmed using the global species database, FishBase [33]. b Weight and length measurements are expressed as the mean values for the 25 fish and the range (minimum–maximum). Weight was measured before the cleaning of the fish. c Analytical values for this species are further presented in the Supplementary Materials due to the species’ irrelevance for local food consumption.
Table
Table 2. Description of food products used for comparison to the sampled species and their edible product conversion factors a.
Table 2. Description of food products used for comparison to the sampled species and their edible product conversion factors a.
FoodProduct DescriptionEdible Conversion Dactor
ChickenLight meat with skin, raw1
BeefMeat, moderately fat (ca. 20% fat), raw1
PorkMeat, moderately fat (ca. 20% fat), raw1
MilkCow, whole, 3.5% fat (pasteurised or UHT)1
EggsChicken, raw0.87
a Products derived from the FAO/INFOODS Food Composition Table for Western Africa (2019) [28].
Table
Table 3. Analytical values of the proximate composition of fish species from Angola a.
Table 3. Analytical values of the proximate composition of fish species from Angola a.
SpeciesnbMoistureProteinLipid
%g/100 gg/100 g
Caranx rhonchus573.2 ± 0.323 ± 0.02.20 ± 0.3
Sardinella aurita569.8 ± 0.821 ± 0.55.40 ± 2.2
Sardinella maderensis574.2 ± 0.721 ± 0.42.33 ± 0.5
Sphyraena guachancho575.5 ± 0.621 ± 0.42.12 ± 0.8
Trachurus trecae570.8 ± 1.121 ± 0.46.98 ± 1.1
Mean Content 72.7 ± 2.321 ± 1.03.81 ± 2.3
a Values are presented as means ± standard deviations (SD) of the fish species analysed in triplicate, expressed as the nutrient content per 100 g of raw, edible sample. b Number of pooled samples analysed. Each pooled sample consisted of 5 individual fish.
Table
Table 4. Concentrations of minerals and trace elements in fish species from Angola a.
Table 4. Concentrations of minerals and trace elements in fish species from Angola a.
SpeciesnbCaFeIKMgNaPSeZn
mg/100 gmg/100 gµg/100 gmg/100 gmg/100 gmg/100 gmg/100 gµg/100 gmg/100 g
Caranx rhonchus525.8 ± 180.65 ± 0.0122.0 ± 1.1480 ± 7.137.4 ± 0.550 ± 0.8294 ± 8.929.4 ± 1.70.47 ± 0.04
Sardinella aurita571.2 ± 9.41.84 ± 0.1523.8 ± 2.7510 ± 1037.6 ± 0.545 ± 1.6344 ± 8.937.0 ± 2.20.52 ± 0.02
Sardinella maderensis589.6 ± 9.91.52 ± 0.1835.0 ± 4.8528 ± 1339.2 ± 0.847 ± 3.5340 ± 7.150.4 ± 0.50.56 ± 0.07
Sphyraena guachancho520.4 ± 3.60.40 ± 0.0546.6 ± 3.6478 ± 12838.2 ± 0.845 ± 2.3310 ± 7.126.2 ± 1.50.33 ± 0.01
Trachurus trecae524.6 ± 7.00.84 ± 0.0127.2 ± 1.3456 ± 1135.0 ± 0.765 ± 1.1284 ± 5.538.2 ± 1.80.42 ± 0.03
Mean Concentration 46.3 ± 311.04 ± 0.5631.0 ± 9.6490 ± 6037.5 ± 1.650 ± 7.8314 ± 2636.2 ± 8.70.46 ± 0.09
a Values are presented as means ± SD for the fish species analysed in triplicate, expressed as the nutrient content per 100 g of raw, edible sample. b Number of pooled samples analysed. Each pooled sample consisted of 5 fish.
Table
Table 5. Concentrations of arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) in fish from Angola (mean ± SD).
Table 5. Concentrations of arsenic (As), cadmium (Cd), mercury (Hg), and lead (Pb) in fish from Angola (mean ± SD).
SpeciesnaAsCdHgPb
mg/kg w.w.mg/kg w.w.mg/kg w.w.mg/kg w.w.
Caranx rhonchus51.54 ± 0.090.004 ± 0.0020.022 ± 0.0020.006 ± 0.000
Sardinella aurita51.78 ± 0.200.003 ± 0.0010.014 ± 0.0070.007 ± 0.000
Sardinella maderensis52.10 ± 0.250.006 ± 0.0010.046 ± 0.0100.010 ± 0.002
Sphyraena guachancho50.56 ± 0.110.001 ± 0.0000.170 ± 0.0580.005 ± 0.001
Trachurus trecae52.26 ± 0.050.003 ± 0.0010.026 ± 0.0070.006 ± 0.001
Mean Concentration 1.65 ± 0.630.003 ± 0.0020.056 ± 0.0640.007 ± 0.002
a Number of pooled samples analysed. Each pooled sample consisted of 5 fish.

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Moxness Reksten, A.; Joao Correia Victor, A.M.; Baptista Nascimento Neves, E.; Myhre Christiansen, S.; Ahern, M.; Uzomah, A.; Lundebye, A.-K.; Kolding, J.; Kjellevold, M. Nutrient and Chemical Contaminant Levels in Five Marine Fish Species from Angola—The EAF-Nansen Programme. Foods 2020, 9, 629. https://doi.org/10.3390/foods9050629

AMA Style

Moxness Reksten A, Joao Correia Victor AM, Baptista Nascimento Neves E, Myhre Christiansen S, Ahern M, Uzomah A, Lundebye A-K, Kolding J, Kjellevold M. Nutrient and Chemical Contaminant Levels in Five Marine Fish Species from Angola—The EAF-Nansen Programme. Foods. 2020; 9(5):629. https://doi.org/10.3390/foods9050629

Chicago/Turabian Style

Moxness Reksten, Amalie, Avelina M. Joao Correia Victor, Edia Baptista Nascimento Neves, Sofie Myhre Christiansen, Molly Ahern, Abimbola Uzomah, Anne-Katrine Lundebye, Jeppe Kolding, and Marian Kjellevold. 2020. "Nutrient and Chemical Contaminant Levels in Five Marine Fish Species from Angola—The EAF-Nansen Programme" Foods 9, no. 5: 629. https://doi.org/10.3390/foods9050629

APA Style

Moxness Reksten, A., Joao Correia Victor, A. M., Baptista Nascimento Neves, E., Myhre Christiansen, S., Ahern, M., Uzomah, A., Lundebye, A.-K., Kolding, J., & Kjellevold, M. (2020). Nutrient and Chemical Contaminant Levels in Five Marine Fish Species from Angola—The EAF-Nansen Programme. Foods, 9(5), 629. https://doi.org/10.3390/foods9050629

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