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Article

Hg Content in EU and Non-EU Processed Meat and Fish Foods

by
Vincenzo Nava
1,
Giuseppa Di Bella
1,
Francesco Fazio
2,*,
Angela Giorgia Potortì
1,
Vincenzo Lo Turco
1 and
Patrizia Licata
2
1
BIOMORF Department, University of Messina, Polo SS Annunziata, 98168 Messina, Italy
2
Department of Veterinary Sciences, University of Messina, Polo SS Annunziata, 98168 Messina, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(2), 793; https://doi.org/10.3390/app13020793
Submission received: 9 December 2022 / Revised: 2 January 2023 / Accepted: 4 January 2023 / Published: 6 January 2023
(This article belongs to the Special Issue Novel Research on Safety Detection and Quality Control of Food)

Abstract

:
Mercury is one of the most dangerous toxic elements. Fresh food is the primary source of Hg exposure for humans. However, since processed foods are also a fundamental part of the food system, continuous monitoring of this contaminant in processed products is necessary to safeguard consumer health. The purpose of this study was to determine the Hg content using a direct mercury analyzer (DMA-80) in different processed food products (beef, pork, poultry, shellfish, and fish species) of EU and non-EU origin purchased in supermarkets and ethnic food shops in Messina (Italy). The results obtained were variable and correlated with the different types of food matrix. Low mercury levels were obtained for beef, pork, and poultry products, ranging from <LOQ for most samples to 3.727 µg/Kg. Higher concentrations were, however, obtained for fish species (9.249–290.211 µg/Kg). The mercury content was below the maximum levels specified in Regulation No 1881/2006 as amended. Percentage of Tolerable Weekly Intake (TWI) values of total Hg were evaluated in accordance with the European Food Safety Authority (EFSA). The results showed that some of the pelagic species of the genus Thunnus thynnus exceeded the TWI values.

1. Introduction

Processed products are now an important part of the human diet. Food processing allows the state of raw materials to be altered to increase their shelf life or change their sensory characteristics [1]. The term “processing” refers to a series of operations (e.g., washing, grinding, heating, freezing, filtering, fermentation, extraction, centrifuging, cooking, drying, packaging) carried out on raw materials [1], i.e., all methods and techniques used by the food, beverage, and associated industries to transform whole fresh foods into food products [2].
These processes not only extend the shelf life of a product and maintain its quality but also allow most microorganisms to be eliminated [3].
Although there are many processed foods [4,5,6,7], meat and fish are certainly among the main food matrices subject to processing, given their great importance in the diet, being a source of protein and other nutrients.
However, as the consumption of processed food increases, their exposure to different types of hazardous contaminants is also of great concern. They, in fact, may contain more contaminants than natural foods. Such contamination can be of different types: chemical (e.g., from the addition of additives); process (contamination during cooking, heating, or storage of foods or during their transportation); or from the environment [8]. These, representing different sources of contamination, can consistently affect food quality and safety [3,9].
Among the many contaminants, toxic elements pose a serious threat to human health. They are nonbiodegradable xenobiotics and can accumulate in the environment, eventually reaching food [9,10,11]. In fact, it is the ingestion of contaminated food that is a major source of human exposure to toxic elements [9]. For this reason, knowing the degree of pollution caused by toxic elements in processed samples is, therefore, crucial to be able to assess the possible risk to which consumers are exposed because of the overuse of such products [12].
Among the toxic elements regulated at the European level is mercury, a metal present in liquid form and silvery-white in color, which is highly toxic to the environment and living beings [13]. This element can occur in different forms: elemental, inorganic, and organic. Exposure to inorganic Hg can take place through occupation; exposure to organic Hg is mainly by ingestion of food and water [14]. Depending on its form, its characteristics vary in terms of circulation in the ecosystem, accumulation, exposure to the human body, biological effects, and toxicity [15].
However, the primary source of mercury exposure for humans is food. Forms most found in food, albeit at very low levels, are the cation Hg2+ and organic methylmercury, CH3Hg [16]. Only fish products have higher mercury concentrations.
CH3Hg is the form of mercury of greatest concern because it readily crosses blood-brain and placental barriers and has an extremely high absorption efficiency (>90%) when ingested in food. This partly explains the higher relative risk associated with exposure to CH3Hg compared to inorganic Hg species. Less than 10% of inorganic Hg in food is absorbed by the body, while the rest is rapidly excreted within 24 h [17].
The International Agency for Research on Cancer (IARC) does not list elemental mercury and inorganic Hg compounds as human carcinogens (Group 3). However, in 2010, the Panel on Contaminants in the Food Chain (CONTAM) of the European Food Safety Authority (EFSA) indicated a TWI value for inorganic mercury of 4 μg/kg body weight [18]. In contrast, methylmercury compounds are grouped in the category “possibly carcinogenic” (Group 2B) [19], with a TWI of 1.3 μg/kg body weight/week [16,20]. CH3Hg binds to the sulfhydryl groups of proteins and accumulates in organisms [21].
There are several pathologies caused by mercury: lung damage because of acute Hg poisoning, neurological and psychological disorders (e.g., anxiety, sleep disorders and depression, irreversible kidney damage) due to chronic exposure to this element [14,22,23].
The largest number of studies in the literature concerns the determination of mercury content in fish products, both fresh and processed [24], while fewer studies are observed for processed meat products [10,12,14,25,26]. The common point of this research is the close correlation between the population’s dietary exposure to mercury and different food habits.
For mercury, European legislation (EU Regulation 1881/2006 and its subsequent amendments) sets maximum permitted levels only for fish muscle meat, food supplements, and salt, indicating no further limits for the remaining foodstuffs [27,28].
There are various analytical techniques that allow the determination of Hg, which differ depending on the type of mercury compound to be determined and on the different types of sample processing. The most common methodologies for analyzing Hg include Cold vapor atomic absorption spectrometry (CV-AAS); Cold vapor atomic fluorescence spectrometry (CV-AFS); Inductively coupled plasma atomic emission spectrometry (ICP-AES) with hydride generation system; Inductively coupled plasma with mass spectrometry detector (ICP-MS) [29]. However, several analytical methods have now been developed that are characterized by their high versatility since they allow direct analysis of the sample without first treating it [29]. Among these analytical techniques is the Thermal decomposition amalgamation atomic absorption spectroscopy (TDA-AAS), the method on which the Direct Mercury Analyzer used in this study is based. Its use provides significant advantages compared with other analytical techniques: e.g., direct analysis of trace mercury; no sample mineralization required; rapid analysis; less loss of trace Hg; relatively low cost [29,30].
Starting from this assumption, the objective of the following work was to determine the mercury content via Direct Mercury Analyzer (DMA-80) in processed meat and fish products purchased in supermarkets and ethnic food shops in Messina (Italy). Furthermore, to assess the possible risks derived from the excessive consumption of such products, the total Tolerable Weekly Intake values of Hg were calculated for each species analyzed in accordance with the EFSA guidelines.

2. Materials and Methods

2.1. Samples

In this study, of all 72 samples processed of different brands and purchased between September and October 2022 in supermarkets and ethnic food shops in Messina, 30 were canned meat (beef, pork, chicken), 32 were canned, or dried fish (tuna, mackerel, sardines, salmon) and 10 were natural or dried shellfish (shrimp and crab). The characteristics and numbers of the samples investigated per type of foodstuff are shown in Table 1.
For most of the samples, the fat, protein, and fiber percentages given on the label were indicated. The others, however, were determined experimentally (indicated in Table 1 with *), according to following methods: Folch method [31] for extraction and a gas chromatographic analysis with a flame ionization detector (GC-FID) for the determination of total fats according to the method developed by Tropea et al. [32] and Di Bella et al. [33].
To highlight a parameter that was neither indicated on the label nor experimentally calculated, the symbol ** was used (Table 1).

2.2. Material and Reagents

Hg solution (1000 mg/L in 3% hydrochloric acid) was obtained from Merck (Darmstadt, Germany). Pure HCl (37%), purchased from Merck (Darmstadt, Germany), was used to prepare a 3% HCl solution, useful for cleaning the instrument.

2.3. Mercury Analysis

A direct mercury analyzer (DMA-80, Milestone S.r.l., Milan, Italy) was used to determine the Hg content in each sample. This is a very versatile instrument that allows direct measurement of mercury content in solid, liquid, and gaseous samples without the need for pre-treatment. This not only ensures ease of use but also very low operating costs, as there is no use of chemical reagents or acids and no hazardous compounds to discard. Consequently, these features make the DMA-80 a “green” instrument. The analysis procedure is easy to apply. In fact, the sample is weighed into special cuvettes and automatically introduced into the furnace of DMA-80. The samples, once charged, are initially dried and, subsequently, thermally decomposed in an oxygen or air atmosphere. Under these conditions, mercury and other species present are released and carried by the gas stream into a catalyst, where interfering substances (halogens, sulfur oxides, and nitrogen) are removed. The mercury, then, is selectively trapped in a gold-containing amalgamation while the decomposition fumes are flushed away to avoid signal obscurations. When the amalgamator is heated, it rapidly releases the mercury, which is then transported to the measuring cell, and its content is determined by atomic absorption spectroscopy at the typical wavelength of mercury, i.e., 253.54 nm. The DMA-80 was used according to the US EPA 7473 method [34]. Briefly, ~0.1 g of each sample was subjected to a temperature ramp from 60 °C to 650 °C for 4–5 min. An external calibration of the instrument was performed by constructing a seven-point calibration curve. A Hg solution (1000 mg/L in 3% hydrochloric acid) was used for this purpose.

2.4. Method Validation

The DMA-80 method was validated in terms of linearity, sensitivity, accuracy, and precision according to criteria established by Eurachem [35]. The linear least-square regression method was used to determine linearity. Sensitivity was determined by calculating the limit of detection (LOD) and the limit of quantification (LOQ). To do this, the following experimental formulae were used: 3.3 σ/b and 10 σ/b, respectively, where σ is the standard deviation of the analytical blank (n = 10) and b is the slope of the relative calibration curve.
Accuracy was calculated by performing six replicates on the certified ERM-CE278k-Mussel Tissue matrix and reported as the percentage of recovery obtained from the ratio of the experimental value to the expected value. Repeatability was assessed in terms of precision and intermediate precision. For the first, the certified matrix and the spiked sample were analyzed on the same day; for the second, considering a longer period (1 week).

3. Results

3.1. Method Validation Results

The results obtained for the method validation proved to be efficient for the purposes of analysis. For the linearity, seven-point calibration curves were constructed using a standard solution of mercury in the range of 1–100 μg/L. The R2 value obtained for Hg was 0.9998. The LOD and LOQ values were 1.000 μg /Kg and 3.000 μg /Kg, respectively. An average recovery of 98.59% was observed. Precision and intermediate precision percentages, expressed as relative standard deviation (RSD%) of 0.7% and 1.1%, respectively, were obtained.

3.2. Results

Table 2 and Figure 1 report the variable mean mercury concentrations (expressed in μg/Kg), determined in meat, fish, and shellfish processed by DMA-80. In general, processed fish and shellfish products showed a higher amount of Hg than meat. The results were variable: the mercury concentration range in fish varied from 9.25 μg/Kg to 290.21 μg/Kg—minimum and maximum levels obtained for T. thynnus species. Among the aquatic species tested, the mean mercury content decreased in the following order: tuna > sardines > mackerel > salmon > shrimps > crab (Table 2).
The processed meat samples, instead, showed a mercury content between <LOQ and 3.73 μg/Kg. Only nine of thirty samples reported a Hg concentration exceeding the limit of quantification (3.00 μg/Kg).
The TWI values calculated in this study were reported in Table 3 and Table 4. In accordance with the EFSA guidelines, the Tolerable Weekly Intake (TWI) percentage values were calculated considering an average consumption of an amount of 200 g, considering FAOSTAT data [36] for both fish and meat products, of the processed products by 70 Kg adult body weight. To calculate the TWI percentage, the formula (1) was used:
TWI % = [ { [ ( C × 0.2   Kg ) / 70   Kg ] × 7 } TWI ] × 100
where C is the concentration of mercury (μg/Kg), 0.2 Kg is the food portion, 70 Kg is the body weight of an adult, TWI is the Tolerable Weekly Intake indicated by EFSA.
Table 3 reports the TWI values obtained for processed fish and shellfish. Only two samples of canned tuna (F1 and F2) exceeded TWI levels among the aquatic species tested. For the remainder, no risk was observed (Table 3). TWI values reported were lower for meat samples (Table 4), showing the security of these samples in terms of mercury content for the consumer.
In Table 5, tolerable weekly intakes in relation to different dietary habits were shown. TWI percentage values were calculated considering several average weekly consumptions correlated to the different world countries (Africa, America, Asia, Europe, and Oceania), considering FAOSTAT data [36] for both fish and meat products, by a 70 Kg adult body weight

4. Discussion

The mercury content was determined by DMA-80, a rapid technique that permitted a direct analysis of processed foods investigated.
Hg levels were variable. In general, aquatic products showed a higher content than the other samples. This trend was expected, given the higher mercury accumulation capacity of aquatic species [21,37], and is comparable to other studies in the literature [3]. Furthermore, the different mercury content observed in fish and shellfish samples is related to the different accumulation capacities of the various species. This capacity is strongly correlated with the age and size of the product [37]. Several studies exist in the literature explaining the occurrence of a strong correlation between the mercury content and the size of fish and shellfish, especially in big predators, such as tuna fish and sharks [37,38]. This is coherent with our study, where the highest mercury concentration was obtained for several types of canned tuna. In addition, the mercury content in the investigated fish samples was lower than in one study in the literature [39].
The data obtained shows a higher mercury content in the samples of canned tuna in olive oil, which had a higher fat content than natural canned tuna. In general, this trend seemed to be present in most of the fish and shellfish samples analyzed in our study. Species containing less than 10 percent fat showed the lowest mercury levels. This trend could depend on several factors, including the different accumulation capacities of the species under study. In addition, consideration must also be given to the types of samples examined, namely processed foods which are characterized by a different composition than the corresponding raw materials. In other studies reported in the literature, fat content and mercury concentration followed the opposite trend. In fact, in one such research, the highest percentage of fat (11.49%) was shown by the herring sample, which nevertheless contained low mercury concentrations (0.021 mg/Kg) [40]. Further specific studies will therefore be necessary to demonstrate a possible correlation between fat content and mercury content and to obtain more significant data to confirm our hypothesis.
Relative to the processed meat samples, mercury contents were remarkably low. The range was from <LOQ to 3.73 ± 0.18 μg/Kg. These levels were either comparable to some studies [16,25] in literature or even lower than others [14]. This demonstrates the safety and quality of the meat products analyzed.
European Regulation No 1881/2006 and subsequent amendments (Regulation (EU) No 2022/617) [27,28] specify maximum mercury levels in three food classes: fish, salt, and food supplements. There are no guidelines for the other food types. Comparison with the maximum levels set by European regulations is of fundamental importance to be able to assess the safety of products. In turn, these could provide further information and be used as sentinel organisms for assessing the degree of environmental contamination [41,42].
For fish, different contents of this element are indicated depending on the species: Thunnus species (1.0 mg/Kg); Shellfish (0.5 mg/Kg); Scomber species, Salmo species, and Sardina species (0.30 mg/Kg). In general, however, all samples were below the maximum levels reported. This is an important result, considering that the accumulation of mercury in processed fish can occur due to the natural presence of this element in the aquatic environment and the different processing steps they undergo [37].
As already mentioned, no maximum mercury levels are specified for meat and processed meat products. However, the content shown by the analyzed samples was very low and did not cause any concern. Furthermore, the results obtained from our study were comparable with those found in the literature, where mercury concentrations in processed meat samples were minimal [3,14,16,25].
The following study, in addition, included the assessment of mercury exposure because of excessive consumption of the products analyzed. In this regard, in fact, tolerable weekly intake values of Hg were calculated for each species investigated. An initial assessment was made considering an average consumption of 200 g of each processed product by a 70 Kg adult. No other factors, such as age or gender, were considered because the Panel on Contaminants in the Food Chain (CONTAM) of the European Food Safety Authority (EFSA) indicates a TWI value for inorganic mercury of 4 μg/kg body weight [18] for all age groups and not differentiating by gender. Given the results obtained and shown in Table 3 and Table 4, only two fish samples (F1 and F2) exceeded TWI levels, while the remaining products analyzed were within the normative levels. A second assessment was conducted by considering the average consumption and food habits of different world countries. In this regard, Table 5 shows that seafood products exhibited a wide range of TWI percentages, ranging from n.d. and 108.83%. As a result, only sample F1 showed a TWI percentage level above the norm but relative to the average consumption reported for Oceania.
The TWI percentage levels we obtained were compared with other studies in the literature concerning both raw materials and processed products. In two studies [21,40], the first concerning mercury accumulation in fish from the Portuguese coast and the second on post-consumption risk assessment of certain types of freshwater and seawater fish, TWI percentage values were, in some cases, lower (1.845–41.056%) than those found in our study. This could be due to the greater possibility of contamination caused by all those processes to which raw materials are subjected to be “processed”. In addition, the different mercury intake is closely related to the size of the fish [21].
The range of mercury TWI percentage (n.d.–1.96%) obtained for meat products was far lower than those shown by fish samples. This demonstrates the higher Hg accumulation capacity of fish products [21,37]. Slightly higher, but still within the threshold levels, are the TWI percentage calculated considering the different world food habits. Some pork samples showed the highest TWI percentages, followed by canned beef and pork, canned chicken, and canned beef. Moreover, TWI rates have been shown to be comparable to those reported by other studies [3,16].

5. Conclusions

In this study, mercury content in processed foods was determined by DMA-80 analysis. It was shown that this method is a convenient, fast, and reliable process for measuring mercury. This was demonstrated by the linearity, LOD, LOQ, and accuracy values obtained, which were found to be acceptable in accordance with EURACHEM guidelines.
The results showed a variable mercury content depending on the type of food analyzed. Aquatic products had higher Hg levels than land-based products, in agreement with other studies in the literature. However, all samples were within European legislative limits. Furthermore, from the TWI assessment for mercury, only two types of canned tuna exceeded the stated intake values., considering an average consumption of 200 g. For TWI percentages calculated relative to food habits, these varied according to the average consumption in the area of interest. Only in the case of fish consumption in Oceania did one sample exceed the normative TWI.
In addition, the present study showed a possible direct correlation between mercury and fat content for some of the analyzed species. However, further studies will be needed, given the lack of statistical data to support this hypothesis.
However, given the high consumption of these processed foods and their higher contamination than raw materials, continuous monitoring of this food category is essential to safeguard consumer health.

Author Contributions

Conceptualization, G.D.B., F.F. and P.L.; methodology, A.G.P. and V.L.T.; validation, V.L.T. and A.G.P.; formal analysis, V.N.; investigation, V.N.; data curation, A.G.P. and V.L.T.; writing—original draft preparation, V.N.; writing—review and editing, V.N.; supervision, G.D.B., F.F. and P.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Weaver, C.M.; Dwyer, J.; Fulgoni, V.L., III; King, J.C.; Leveille, G.A.; MacDonald, R.S.; Ordovas, J.; Schnakenberg, D. Processed foods: Contributions to nutrition. Am. J. Clin. Nutr. 2014, 99, 1525–1542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Monteiro, C.A.; Levy, R.B.; Claro, R.M.; Ribeiro de Castro, I.R.; Cannon, G. Increasing consumption of ultra-processed foods and likely impact on human health: Evidence from Brazil. Public Health Nutr. 2011, 14, 5–13. [Google Scholar] [CrossRef] [PubMed]
  3. Kowalska, G.; Pankiewicz, U.; Kowalski, R. Determination of the Level of Selected Elements in Canned Meat and Fish and Risk Assessment for Consumer Health. J. Anal. Methods Chem. 2020, 2020, 2148794. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Di Bella, G.; Lo Vecchio, G.; Albergamo, A.; Nava, V.; Bartolomeo, G.; Macrì, A.; Bacchetta, L.; Lo Turco, V.; Potortì, A.G. Chemical characterization of Sicilian dried nopal [Opuntia ficus-indica (L.) Mill. J. Food Comp. Anal. 2022, 106, 104307. [Google Scholar] [CrossRef]
  5. Crupi, R.; Lo Turco, V.; Gugliandolo, E.; Nava, V.; Potortì, A.G.; Cuzzocrea, S.; Di Bella, G.; Licata, P. Mineral Composition in Delactosed Dairy Products: Quality and Safety Status. Foods. 2022, 11, 139. [Google Scholar] [CrossRef] [PubMed]
  6. Liotta, L.; Litrenta, F.; Lo Turco, V.; Potortì, A.G.; Lopreiato, V.; Nava, V.; Bionda, A.; Di Bella, G. Evaluation of Chemical Contaminants in Conventional and Unconventional Ragusana Provola Cheese. Foods. 2022, 11, 3817. [Google Scholar] [CrossRef] [PubMed]
  7. Roman-Ochoa, Y.; Choque Delgado, G.T.; Tejada, T.R.; Yucra, H.R.; Durand, A.E.; Hamaker, B.R. Heavy metal contamination and health risk assessment in grains and grain-based processed food in Arequipa region of Peru. Chemosphere 2021, 274, 129792. [Google Scholar] [CrossRef]
  8. Hwang, H.J.; Hwang, G.H.; Ahn, S.M.; Kim, Y.Y.; Shin, H.S. Risk Assessment and Determination of Heavy Metals in Home Meal Replacement Products by Using Inductively Coupled Plasma Mass Spectrometry and Direct Mercury Analyzer. Foods 2022, 11, 504. [Google Scholar] [CrossRef]
  9. Collado-Lòpez, S.; Betanzos-Robledo, L.; Téllez-Rojo, M.M.; Lamadrid-Figueroa, H.; Reyes, M.; Rìos, C.; Cantoral, A. Heavy Metals in Unprocessed or Minimally Processed Foods Consumed by Humans Worldwide: A Scoping Review. Int. J. Environ. Res. Public Health 2022, 19, 8651. [Google Scholar] [CrossRef]
  10. Hamasalim, H.Z.; Mohammed, H.N. Determination of heavy metals in exposed corned beef and chicken luncheon that sold in Sulaymaniah markets. Afr. J. Food Sci. 2013, 7, 178–182. [Google Scholar] [CrossRef]
  11. Peycheva, K.; Panayotova, V.; Stancheva, R.; Makendonski, L.; Merdzhanova, A.; Parrino, V.; Nava, V.; Cicero, N.; Fazio, F. Risk Assessment of Essential and Toxic Elements in Freshwater Fish Species from Lakes near Black Sea, Bulgaria. Toxics 2022, 10, 675. [Google Scholar] [CrossRef]
  12. Massadeh, A.M.; Al-Massaedh, A.A.T.; Kharibeh, S. Determination of selected elements in canned food sold in Jordan markets. Environ. Sci. Pollut. Res. 2017, 25, 3501–3509. [Google Scholar] [CrossRef] [PubMed]
  13. Di Bella, G.; Tardugno, R.; Cicero, N. Investigation of Hg Content by a Rapid Analytical Technique in Mediterranean Pelagic Fishes. Separations 2018, 5, 51. [Google Scholar] [CrossRef] [Green Version]
  14. Khalafalla, F.A.; Ali, F.H.M.; Hassan, A.R.H.A.; Basta, S.E. Residues of lead, cadmium, mercury, and tin in canned meat products from Egypt: An emphasis on permissible limits and sources of contamination. J. Verbrauch. Lebensm. 2016, 11, 137–143. [Google Scholar] [CrossRef]
  15. Ye, B.J.; Kim, B.G.; Jeon, M.G.; Kim, S.Y.; Kim, H.C.; Jang, T.W.; Chae, H.J.; Choi, W.J.; Ha, M.H.; Hong, Y.S. Evaluation of mercury exposure level, clinical diagnosis, and treatment for mercury intoxication. Ann. Occup. Environ. Med. 2016, 28, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Stojanovic, B.; Jankovic, S.; Dordevic, V.; Marjanovic, S.; Vasilev, D.; Stojanovic, Z.; Balaban, M.; Antic, V. Determination of toxic elements in meat products from Serbia packaged in tinplate cans. Environ. Sci. Pollut. Res. Int. 2021, 28, 48330–48342. [Google Scholar] [CrossRef] [PubMed]
  17. Sunderland, E.M.; Tumpney, M. Mercury in foods. In Persistent Organic Pollutants and Toxic Metals in Foods; Series in Food Science, Technology and Nutrition; Woodhead Publishing: Sawston, UK, 2013; pp. 392–413. [Google Scholar]
  18. 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]
  19. International Agency for Research on Cancer (IARC). Agents Classified by the IARC Monographs; IARC: Lyon, France, 2022; Volume 1–132. [Google Scholar]
  20. EFSA. Statement on the benefits of fish/seafood consumption compared to the risks of methylmercury in fish/seafood. EFSA J. 2015, 13, 3982. [Google Scholar] [CrossRef] [Green Version]
  21. Costa, F.; Coelho, J.P.; Baptista, J.; Martinho, F.; Pereira, M.E.; Pardal, M.A. Mercury accumulation in fish species along the Portuguese coast: Are there potential risks to human health? Mar. Pollut. Bull. 2020, 150, 110740. [Google Scholar] [CrossRef]
  22. Jebara, A.; Lo Turco, V.; Faggio, C.; Licata, P.; Nava, V.; Potortì, A.G.; Crupi, R.; Mansour, H.B.; Di Bella, G. Monitoring of Environmental Hg Occurrence in Tunisian Coastal Areas. Int. J. Environ. Res. Public Health 2021, 18, 5202. [Google Scholar] [CrossRef]
  23. Panebianco, F.; Nava, V.; Giarratana, F.; Gervasi, T.; Cicero, N. Assessment of heavy- and semi-metals contamination in edible seaweed and dried fish sold in ethnic food stores on the Italian market. J. Food Compos. Anal. 2021, 104, 104150. [Google Scholar] [CrossRef]
  24. Rodriguez-Mendivil, D.D.; Garcia-Flores, E.; Temores-Pena, J.; Wakida, F.T. Health Risk Assessment of Some Heavy Metals from Canned Tuna and Fish in Tijuana, Mexico. Health Scope 2019, 8, e78956. [Google Scholar] [CrossRef] [Green Version]
  25. Barone, G.; Storelli, A.; Quaglia, N.C.; Garofalo, R.; Meleleo, D.; Busco, A.; Storelli, M.M. Trace Metals in Pork Meat Products Marketed in Italy: Occurrence and Health Risk Characterization. Biol. Trace Elem. Res. 2021, 199, 2826–2836. [Google Scholar] [CrossRef] [PubMed]
  26. Sharif, R.; Ghazali, A.R.; Rajab, N.F.; Haron, H.; Osman, F. Toxicological evaluation of some Malaysian locally processed raw food products. Food Chem. Toxicol. 2008, 46, 368–374. [Google Scholar] [CrossRef]
  27. Commission Regulation (EC) No 1881/2006 of 19 December 2006 Setting Maximum Levels for Certain Contaminants in Foodstuffs. Off. J. Eur. 2006, L364, 5–24. Available online: https://eur-lex-europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2006:364:0005:0024:EN:PDF (accessed on 29 November 2022).
  28. Commission Regulation (EC) No 617/2022 of 12 April 2022 Setting Maximum Levels for Mercury in Fish and Salt. Off. J. Eur. 2022, L115/60, 60–63. Available online: https://eur-lex.europa.eu/eli/reg/2022/617/oj (accessed on 29 November 2022).
  29. Falco, F.; Salvagio Manta, D.; Bonsignore, M.; Mazzola, S. Determinazione del Mercurio Mediante DMA-80; Istituto per l’Ambiente Marino Costiero del Consiglio Nazionale delle Ricerche (IAMC-CNR): Granitola Torretta, Italy, 2016. [Google Scholar]
  30. Guerin, T.; Chekri, R.; Chafey, C.; Testu, C.; Hulin, M.; Noel, L. Mercury in foods from the first French total diet study on infants and toddlers. Food Chem. 2018, 239, 920–925. [Google Scholar] [CrossRef]
  31. Folch, J.; Lees, M.; Stanley, G.S. A simple method for the isolation and purification of total lipides from animal tissues. J. Biol. Chem. 1957, 226, 497–509. [Google Scholar] [CrossRef]
  32. Tropea, A.; Potortì, A.G.; Lo Turco, V.; Russo, E.; Vadalà, R.; Rando, R.; Di Bella, G. Aquafeed production from fermented fish waste and lemon peel. Fermentation 2021, 7, 272. [Google Scholar] [CrossRef]
  33. Di Bella, G.; Litrenta, F.; Pino, S.; Tropea, A.; Potortì, A.G.; Nava, V.; Lo Turco, V. Variations in fatty acid composition of Mediterranean anchovies (Engraulis encrasicolus) after different cooking methods. Eur. Food Res. Technol. 2022, 248, 2285–2290. [Google Scholar] [CrossRef]
  34. U.S. EPA. Principles of Environmental Impact Assessment Review: Appendix A: Environmental Assessment Checklist. 1998. Available online: https://elaw.org/content/us-epa-1998-principles-environmental-impact-assessment-review-appendix-d-contents-specific-e (accessed on 5 December 2022).
  35. Bertil, M.; Örnemark, U. The Fitness for Purpose of Analytical Methods: A Laboratory Guide to Method Validation and Related Topics. A Laboratory Guide to Method Validation and Related Topics; LGC: Middlesex, UK, 2014. [Google Scholar]
  36. Available online: https://www.fao.org/faostat/en/#data/FBS (accessed on 5 December 2022).
  37. Bosch, A.C.; O’Neill, B.; Sigge, G.O.; Kerwath, S.E.; Hoffman, L.C. Mercury accumulation in Yellowfin tuna (Thunnus albacares) with regards to muscle type, muscle position and fish size. Food Chem. 2016, 190, 351–356. [Google Scholar] [CrossRef] [PubMed]
  38. Cizdziel, J.V.; Hinners, T.A.; Pollard, J.E.; Heithmar, E.M.; Cross, C.L. Mercury Concentrations in Fish from Lake Mead, USA, Related to Fish Size, Condition, Trophic Level, Location, and Consumption Risk. Arch. Environ. Contam. Toxicol. 2002, 43, 309–317. [Google Scholar] [CrossRef] [PubMed]
  39. Miedico, O.; Pompa, C.; Moscatelli, S.; Chiappinelli, A.; Carosielli, L.; Chiaravalle, A.E. Lead, cadmium and mercury in canned and unprocessed tuna: Six-years monitoring survey, comparison with previous studies and recommended tolerable limits. J. Food Compos. Anal. 2020, 94, 103638. [Google Scholar] [CrossRef]
  40. Luczynska, J.; Paszxzyk, B.; Nowosad, J.; Luczynski, M.J. Mercury, Fatty Acids Content and Lipid Quality Indexes in Muscles of Freshwater and Marine Fish on the Polish Market. Risk Assessment of Fish Consumption. Int. J. Environ. Res. Public Health 2017, 14, 1120. [Google Scholar] [CrossRef]
  41. Amadi, C.N.; Frazzoli, C.; Orisakwe, O.E. Sentinel species for biomonitoring and biosurveillance of environmental heavy metals in Nigeria. J. Environ. Sci. Health C Toxicol. 2020, 38, 21–60. [Google Scholar] [CrossRef] [PubMed]
  42. Okoye, E.A.; Bocca, B.; Ruggieri, F.; Ezejiofor, A.N.; Nwaogazie, I.L.; Domingo, J.L.; Rovira, J.; Frazzoli, C.; Orisakwe, O.E. Metal pollution of soil, plants, feed and food in the Niger Delta, Nigeria: Health risk assessment through meat and fish consumption. Environ. Res. 2021, 198, 111273. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Box plot reporting the variable mercury content in relation to different types of matrices. The “×” indicates the average value of mercury.
Figure 1. Box plot reporting the variable mercury content in relation to different types of matrices. The “×” indicates the average value of mercury.
Applsci 13 00793 g001
Table 1. Characteristics of processed foods investigated in this study.
Table 1. Characteristics of processed foods investigated in this study.
Sample
Code
SampleSample NoConstituents
(%)
SpeciesCountry
or Origin
FatProteinFiber
F1Canned
tuna in olive oil
42219**Katsuwonus pelamisSpain
F2Canned
tuna in olive oil
333180Thynnus
albacares
Italy
F3Canned natural tuna20.923**Thynnus
albacares
Italy
F4Canned
tuna in olive oil
31329**Katsuwonus pelamisItaly
F5Canned natural tuna20.620**Thynnus
albacares
Spain
F6Natural shrimp3117****Italy
F7Canned horse mackerel34.924**Trachurus
murphyi
Chile
F8Canned sardines34216**Sardina
pilchardus
Morocco
F9Canned crab
meat
30.512****Indonesia
F10Canned pink
Salmon
2719****USA
F11Canned
tuna pate
32513**Euthynnus (Katsuwonus) pelamisItaly
F12Canned mackerel
fillets
42222****Portugal
F13Dried shrimp42 *19 *0**Argentina
F14Dried
sardines
319 *15 ***Sardinella
aurita
Argentina
M1Canned beef and pork pate214113.5**Italy
M2Canned beef and pork pate21411****Italy
M3Canned jelly with meat stock41.211<0.5**Italy
M4Canned chicken311.1****Italy
M5Canned ham
pate
3269****Italy
M6Canned beef41.511****Italy
M7Canned
jellied chicken breast
3111****Italy
M8Canned chicken Luncheon Meat41012****Philippines
M9Canned chopped Pork and Ham with real bacon22215****Denmark
M10Canned chicken meat31413****Poland
Tot 72
* not indicated on the label, but experimentally calculated. ** not indicated on the label.
Table 2. Mean concentration levels of mercury expressed as μg/Kg.
Table 2. Mean concentration levels of mercury expressed as μg/Kg.
SampleMean Hg Concentration (μg/Kg)
F1250.92 ± 3.68
F2290.21 ± 4.64
F39.25 ± 0.85
F470.11 ± 4.22
F550.82 ± 3.58
F611.90 ± 0.88
F725.71 ± 1.40
F814.00 ± 0.18
F910.05 ± 1.74
F1012.89 ± 2.55
F1120.65 ± 3.52
F1232.45 ± 5.68
F139.45 ± 0.30
F1499.93 ± 1.43
M13.17 ± 0.12
M2<LOQ
M3<LOQ
M4<LOQ
M5<LOQ
M6<LOQ
M7<LOQ
M83.17 ± 0.11
M93.73 ± 0.18
M10<LOQ
Table 3. Tolerable weekly intake (TWI) % values for Hg contents in analyzed processed fish and shellfish.
Table 3. Tolerable weekly intake (TWI) % values for Hg contents in analyzed processed fish and shellfish.
Hg
SamplesNo Samplesμg/KgTWI%
Range
Min–Max
Range
Min–Max
Canned tuna179.25–290.214.63–145.11
Natural and dried shrimp79.45–11.904.73–5.95
Canned sardines313.89–14.216.95–7.11
Canned crab meat38.07–11.304.03–5.65
Canned pink salmon210.15–15.195.08–7.59
Dried sardines398.34–101.0849.17–50.54
Canned mackerel fillets424.84–27.3312.42–13.67
Canned horse mackerel326.62–37.9613.31–18.98
Table 4. Tolerable weekly intake (TWI) % values for Hg contents in analyzed processed meat.
Table 4. Tolerable weekly intake (TWI) % values for Hg contents in analyzed processed meat.
Hg
SpeciesNo Samplesμg/KgTWI%
Range Min–MaxRange Min–Max
Canned beef and pork pate4<LOQ–3.27n.d.–1.63
Canned beef8<LOQn.d.
Canned chicken13<LOQ–3.28n.d.–1.64
Canned pork5<LOQ–3.92n.d.–1.96
n.d. = not detected.
Table 5. Tolerable weekly intake (TWI) % values for Hg contents in relation to different dietary habits.
Table 5. Tolerable weekly intake (TWI) % values for Hg contents in relation to different dietary habits.
Hg
SamplesNo Samplesμg/KgTWI%
AfricaAmericaAsiaEuropeOceania
Range
Min–Max
Range
Min–Max
Range
Min–Max
Range
Min–Max
Range
Min–Max
Range
Min–Max
Canned tuna179.25–290.211.55–48.611.36–42.811.11–34.832.54–79.813.47–108.83
Natural and dried shrimp79.45–11.901.58–1.991.39–1.761.13–1.432.60–3.273.54–4.46
Canned sardines313.89–14.212.33–2.382.05–2.101.67–1.713.82–3.915.21–5.33
Canned crab meat38.07–11.301.35–1.891.19–1.670.97–1.362.22–3.113.03–4.24
Canned pink salmon210.15–15.191.70–2.541.50–2.241.22–1.822.79–4.183.81–5.70
Dried sardines398.34–101.0816.47–16.9314.50–14.9111.80–12.1327.04–27.8036.88–37.91
Canned mackerel fillets424.84–27.334.16–4.583.66–4.032.98–3.286.83–7.529.32–10.25
Canned horse mackerel326.62–37.964.46–6.363.93–5.603.19–4.567.32–10.449.98–14.24
Canned beef and pork pate4<LOQ–3.27n.d.–0.71n.d.–4.82n.d.–1.85n.d.–4.50n.d.–4.99
Canned beef8<LOQn.d.n.d.n.d.n.d.n.d.
Canned chicken13<LOQ–3.28n.d.–0.71n.d.–4.83n.d.–1.56n.d.–3.77n.d.–4.18
Canned pork5<LOQ–3.92n.d.–0.85n.d.–5.78n.d.–1.86n.d.–4.51n.d.–5.00
n.d. = not detected.
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MDPI and ACS Style

Nava, V.; Di Bella, G.; Fazio, F.; Potortì, A.G.; Lo Turco, V.; Licata, P. Hg Content in EU and Non-EU Processed Meat and Fish Foods. Appl. Sci. 2023, 13, 793. https://doi.org/10.3390/app13020793

AMA Style

Nava V, Di Bella G, Fazio F, Potortì AG, Lo Turco V, Licata P. Hg Content in EU and Non-EU Processed Meat and Fish Foods. Applied Sciences. 2023; 13(2):793. https://doi.org/10.3390/app13020793

Chicago/Turabian Style

Nava, Vincenzo, Giuseppa Di Bella, Francesco Fazio, Angela Giorgia Potortì, Vincenzo Lo Turco, and Patrizia Licata. 2023. "Hg Content in EU and Non-EU Processed Meat and Fish Foods" Applied Sciences 13, no. 2: 793. https://doi.org/10.3390/app13020793

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