Application of the maximum cumulative ratio (MCR) as a screening tool for the evaluation of multiple metal mixtures in shellfish in Chinese population

References

• Abdallah MA. 2013. Bioaccumulation of heavy metals in Mollusca species and assessment of potential risks to human health. Bull Environ Contam Toxicol. 90(5):552–557.
   PubMed Web of Science ®Google Scholar
• Ahmed MK, Baki MA, Islam MS, Kundu GK, Habibullah-Al-Mamun M, Sarkar SK, Hossain MM. 2015. Human health risk assessment of heavy metals in tropical fish and shellfish collected from the river Buriganga, Bangladesh. Environ Sci Pollut Res Int. 22(20):15880–15890.
   PubMed Web of Science ®Google Scholar
• Cai Y, Zhou Y, Wu X, Wu Z, Zheng X, Zhong Y, Yu X, Yang Z. 2016. Situation of heavy metal pollution and food risk assessment of 3 kinds of marine shellfish. J Nucl Agric Sci. 30(6):1126–1134.
   Google Scholar
• Copat C, Arena G, Fiore M, Ledda C, Fallico R, Sciacca S, Ferrante M. 2013. Heavy metals concentrations in fish and shellfish from eastern Mediterranean Sea: consumption advisories. Food Chem Toxicol. 53:33–37.
   PubMed Web of Science ®Google Scholar
• De Brouwere K, Cornelis C, Arvanitis A, Brown T, Crump D, Harrison P, Jantunen M, Price P, Torfs R. 2014. Application of the maximum cumulative ratio (MCR) as a screening tool for the evaluation of mixtures in residential indoor air. Sci Total Environ. 479-480:267–276.
   PubMed Web of Science ®Google Scholar
• [EFSA] European Food Safety Authority (EFSA). 2014b. Dietary exposure to inorganic arsenic in the European population. EFSA J. 12(3):3597.
   Google Scholar
• [EFSA] European Food Safety Authority (EFSA). 2013. International frameworks dealing with human risk assessment of combined exposure to multiple chemicals. EFSA J. 11(7):3313.
   PubMedGoogle Scholar
• [EFSA] European Food Safety Authority. 2012a. Guidance on selected default values to be used by the EFSA Scientific Committee, Scientific Panels and Units in the absence of actual measured data. EFSA J. 10(3):2579.
   Google Scholar
• [EFSA] European Food Safety Authority. 2012b. Scientific opinion on the risk for public health related to the presence of mercury and methylmercury in food. EFSA J. 10(12):2985.
   Google Scholar
• [EFSA] European Food Safety Authority. 2014a. Scientific opinion on the risks to public health related to the presence of chromium in food and drinking water. EFSA J. 12:3595.
   Google Scholar
• [EFSA] European Food Safety Authority. 2015. Scientific opinion on the risks to public health related to the presence of nickel in food and drinking water. EFSA J. 13:4002.
   Google Scholar
• Guéguen M, Amiard JC, Arnich N, Badot PM, Claisse D, Guérin T, Vernoux JP. 2011. Shellfish and residual chemical contaminants: hazards, monitoring, and health risk assessment along French coasts. Rev Environ Contam Toxicol. 213:55–111.
   PubMed Web of Science ®Google Scholar
• Gupta S, V, Jena , S, Jena , N, Davi JS. Solanki 2013. Assessment of heavy metal contents of green leafy vegetables. Croat J Food Sci Technol. 5(2):53–60.
   Google Scholar
• Habte G, Choi JY, Nho EY, Oh SY, Khan N, Choi H, Park KS, Kim KS. 2015. Determination of toxic heavy metal levels in commonly consumed species of shrimp and shellfish using ICP-MS/OES. Food Sci Biotechnol. 24(1):373–378.
   Web of Science ®Google Scholar
• Han X, Price PS. 2013. Applying the maximum cumulative ratio methodology to biomonitoring data on dioxin-like compounds in the general public and two occupationally exposed populations. J Expo Sci Environ Epidemiol. 23(4):343–349.
   PubMed Web of Science ®Google Scholar
• Han X, Price PS. 2011. Determining the maximum cumulative ratios for mixtures observed in ground water wells used as drinking water supplies in the United States. Int J Environ Res Public Health. 8(12):4729–4745.
   PubMed Web of Science ®Google Scholar
• Hui L, Liu Z, Zhou S, Chen Z, Long C, Wang P, Hu S, Deng X. 2017. Risk assessment of cadmium exposure in shellfish in Guangdong Province. Chinese J Food Hyg. 29(4):492–495.
   Google Scholar
• Jia Y, Wang L, Qu Z, Yang Z. 2018. Distribution, contamination and accumulation of heavy metals in water, sediments, and freshwater shellfish from Liuyang River, Southern China. Environ Sci Pollut R. 25(7):7012–7020.
   Google Scholar
• [JECFA] Joint FAO/WHO Expert Committee on Food Additives. 2018. Codex committee on contaminants in foods. Proposed draft maximum levels for methyl mercury in fish including associated sampling plans. CX/CF 18/12/7. Available from：https://www.fao.org/fao-who-codexalimentarius/meetings/detail/en/?meeting=CCCF&session=12.
   Google Scholar
• [JECFA] Joint FAO/WHO Expert Committee on Food Additives. 2010. Safety evaluation of certain food additives and contaminants. WHO FOOD ADDITIVES SERIES 64:305–497.
   Google Scholar
• [JECFA] Joint FAO/WHO Expert Committee on Food Additives. 2007. Safety evaluation of certain food additives and contaminants. WHO FOOD ADDITIVES SERIES 58:269–315.
   Google Scholar
• [JECFA] Joint FAO/WHO Expert Committee on Food Additives. 2011. Safety evaluation of certain contaminants in food. WHO FOOD ADDITIVES SERIES 63:153–316.
   Google Scholar
• József L, András B, Dávid D, Katalin L, Péter L. 2018. Heavy metals in seafood purchased from a fishery market in Hungary. Food Addit Contam Part B Surveill. 11(4):302–308.
   PubMed Web of Science ®Google Scholar
• Junxiao W, Juanqin G, Kuang C. 2019. Levels of eight heavy metals and health risk assessment considering food consumption by China’s residents based on the 5th China total diet study. Sci Total Environ. 689:1141–1148.
   PubMed Web of Science ®Google Scholar
• Kortenkamp A. 2006. Breast cancer, oestrogens and environmental pollutants: a re-evaluation from a mixture perspective. Int J Androl. 29(1):193–198.
   PubMedGoogle Scholar
• Mok JS, Young Kwon JI, Son KT, Choi WS, Shim KB, Lee TS, Kim JH. 2014. Distribution of heavy metals in muscles and internal organs of Korean cephalopods and crustaceans: risk assessment for human health. J Food Prot. 77(12):2168–2175.
   PubMed Web of Science ®Google Scholar
• Nemr AE, El-Said GF, Ragab S, Khaled A, El-Sikaily A. 2016. The distribution, contamination and risk assessment of heavy metals in sediment and shellfish from the Red Sea coast, Egypt. Chemosphere. 165:369–380.
   PubMed Web of Science ®Google Scholar
• Parent-Massin D, Nguyen A, Tran TL, Carpentier FG, Roudot AC. 2010. Risk assessment of shellfish contaminated by heavy metals and paralytic shellfish poison (PSP) in Vietnam. Toxicol. Lett. 196:s339–s340.
   Web of Science ®Google Scholar
• Price P, ED, Mick Hamer XH, Marjoke Heneweer MJ, Petra Kunz CM, Rodriguez HPaC. 2012. A decision tree for assessing effects from exposure to multiple substances. Envi Sci Eur. 24:26.
   Google Scholar
• Price P, Zaleski R, Hollnagel H, Ketelslegers H, Han X. 2014. Assessing the safety of co-exposure to food packaging migrants in food and water using the maximum cumulative ratio and an established decision tree. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 31(3):414–421.
   PubMed Web of Science ®Google Scholar
• Price PS, Han X. 2011. Maximum cumulative ratio (MCR) as a tool for assessing the value of performing a cumulative risk assessment. Int J Environ Res Public Health. 8(6):2212–2225.
   PubMed Web of Science ®Google Scholar
• Reyes JM, Price PS. 2018. An analysis of cumulative risks based on biomonitoring data for six phthalates using the maximum cumulative ratio. Environ Int. 112:77–84.
   PubMed Web of Science ®Google Scholar
• Shan S, Yuting Z, Liming W, Liping Y, Huimin T, Weili G, Xiuzhen Z. 2017. Status of heavy metal pollution in the shellfish culture area of Shangdong Province and the risk analysis of heavy metal elements in the shellfish. Progress Fish Sci. 38(4):118–125.
   Google Scholar
• Smith M. 2002. Food Safety in Europe (FOSIE): Risk assessment of chemicals in food and diet: overall introduction. Food Chem Toxicol. 40(2–3):141–144.
   PubMed Web of Science ®Google Scholar
• Vallotton N, Price PS. 2016. Use of the maximum cumulative ratio as an approach for prioritizing aquatic coexposure to plant protection products: a case study of a large surface water monitoring database. Environ Sci Technol. 50(10):5286–5293.
   PubMed Web of Science ®Google Scholar
• Xiaochu Y, China WZ. 2015. Fishery statistical yearbook. Beijing ：China Agriculture Press.
   Google Scholar
• Xiaomeng L, Lei Z, Lei Z. 2017. Concentration, risk assessment, and source identification of heavy metals in surface sediments in Yinghai: a shellfish cultivation zone in Jiaozhou Bay. China Mar Pollut Bull. 121(1-2):216–221.
   Web of Science ®Google Scholar
• Zehua J, Hao Z, Yu Z, Tao C, Ziwei L, Meng L. Yuansheng 2019. P. Distribution, ecological risk and source identification of heavy metals in sediments from the Baiyangdian Lake. Northern China. Chemosphere. 237:1–12.
   Web of Science ®Google Scholar
• Zhou W, Liubo P, Wei H, Huimin Z, Siguo L, Linqing Y. Xianru Luo 2017. Heavy metal pollution and dietary exposure assessment of shellfish in Shenzhen. China Trop Med. 17(06):590–593.
   Google Scholar