Surveillance of potentially hazardous chemicals in food in the United Kingdom.

Surveillance of chemical contaminants in food plays an important role in helping to ensure a safe food supply in those countries that undertake it. This paper reviews the methods used in the UK as a means of highlighting the essential elements required by any food chemical surveillance programme. The following topics have been covered: quantifying food consumption, setting priorities in food surveillance, developing a common approach to the surveillance of different chemicals in the food supply (including the use of Total and Duplicate Diet Studies), estimating human intakes of chemicals from the diet, developing suitably sensitive and reliable methods of analysis, obtaining representative samples, and assessing and managing risk.     

Dietary intake of four artificial sweeteners by Irish pre-school children

In spite of rigorous pre- and post-market reviews of safety, there remains a high level of debate regarding the use of artificial sweeteners in foods. Young children are of particular interest when assessing food chemical exposure as a result of their unique food consumption patterns and comparatively higher exposure to food chemicals on a body weight basis when compared with the general population. The present study examined the intakes of four intense sweeteners (acesulfame K, aspartame, saccharin, sucralose) in the diets of children aged 1–4 years using food consumption and sweetener presence data from the Irish National Pre-school Nutrition Survey (2010–11) and analytical data for sweetener concentration in foods obtained from a national testing programme. Four exposure assessment scenarios were conducted using the available data on sweetener occurrence and concentration. The results demonstrated that the mean daily intakes for all four sweeteners were below the acceptable daily intake (ADI) (17–31%), even considering the most conservative assumptions regarding sweetener presence and concentration. High consumer intakes (P95) were also below the ADI for the four sweeteners when more realistic estimates of exposure were considered. Both sweetener occurrence and concentration data had a considerable effect on reducing the estimated intake values, with a combined reduction in intakes of 95% when expressed as a proportion of the ADI. Flavoured drinks were deemed to be a key contributor to artificial sweetener intakes in this population cohort. It was concluded that there is no health risk to Irish pre-school children at current dietary intake levels of the sweeteners studied.     

Consumption,intake patterns,and exposure

Despite the wide public and scientific interest in antioxidant nutrients and their roles in disease prevention, limited data are available to assess population consumption, individuals’ intake patterns, and trends in exposure. This article reviews data on levels of these nutrients in the food supply, intake patterns from food and supplement use derived from national surveys, and trends in exposure. The food supply and intake data indicate that levels of vitamins E and C and the carotenoids in the diet have increased since the 1970s, but the increases are not consistent among all age groups. Dietary supplements make a major contribution to intakes of vitamins E and C. Nutrient and nonnutrient antioxidants added to the food supply do not contribute appreciably to antioxidant exposure. Groups at high risk of poor dietary intakes of antioxidant nutrients are the poor, tobacco users, nonsupplement users, and the elderly, especially those living alone.     

Comparison of two methods to assess the intake of flavouring substances

It is important to assess the intake of flavouring substances in order to be confident that exposure to the substance from its intended use presents no significant risk. A number of methods exist to estimate intake of food ingredients. Two such methods, one using a detailed dietary analysis based on food consumption and composition and one using 10 times the annual volume of use on a per capita basis (per capita x 10), were compared for their precision and practicality in assessing the intake of 10 flavouring substances. The detailed dietary analysis method of determining exposure resulted in good estimates of the distribution of intakes across the population, as well as patterns of intake of individuals. This method is both expensive and labour intensive. The per capita x 10 method yields results that, compared with those obtained by detailed dietary analysis, tend consistently to overstate exposure. Thus, this method is a conservative and practical approach to assessing exposure to flavouring substances and other food ingredients.     

Enhancing the capacity of food consumption surveys of short duration to estimate long term consumer-only intakes by combination with a qualitative food frequency questionnaire

In principle, a proper risk assessment for a food chemical requires that the time-frame for food chemical intake estimates matches the time-frame for the toxicological assessments upon which the safety statements (ADI, PTW I, etc.) are based. For food additives, the toxicological assessments are based on exposure over a lifetime. While food consumption data cannot be collected over the lifetimes of individuals, the information should reflect habitual intakes as closely as possible. This study investigated the possibility of combining a 3-day food diary with a food frequency questionnaire to estimate mean consumer-only food intakes comparable to estimates based on a 14-day diary. The study population consisted of 948 teenagers and analysis was based on 32 clearly defined foods. For 47% of the foods, the difference was ≤ 1g/day. When expressed as portion sizes, 56% of the foods showed differences representing 14% of an average portion. When between-method differences (portions/day) were plotted against the mean of the methods, the mean between-method difference was 0.02 (± 0.06) portions/ day with limits of agreement of -0.10 to 0.14. This preliminary investigation suggests that the combined 3-day diary and FFQ method provides comparable estimates of mean consumer only intakes to a 14-day diary. Therefore, a qualitative FFQ may be a useful adjunct to a food consumption survey of short duration if estimates of longer term food intakes are required.     

Assessment of the influence of energy under-reporting on intake estimates of four food additives.

Under-reporting has been identified as an important source of uncertainty in food chemical exposure assessments. The objective of the present study was to assess the influence of under-reporting on food additive intake estimates. Dietary survey data were derived from the North-South Ireland Food Consumption Survey (2001). Data from the Republic of Ireland (n = 958) were used. Energy under-reporters were identified using a ratio of energy intakes to estimated basal metabolic rate. First, food categories (n = 26) included in an assessment of exposure of four food additives were created and patterns of food intakes (i.e. likelihood of consumption, frequency of consumption and reported portion size) between acceptable and under-reporters compared. Second, for each food additive, deterministic intake estimates for the total sample (i.e. acceptable and under-reporters), under-reporters and acceptable reporters were calculated and compared. Differential reporting of the majority of food categories between acceptable and under-reporters was recorded. Under-reporters were less likely to record the consumption of a given food and more likely to under-report the frequency of consumption and portion size compared with acceptable reporters. Food additive intake estimates amongst acceptable reporters were higher than corresponding intake estimates amongst the total sample of reporters and amongst under-reporters. With the exception of one food additive (erythrosine), ratios of upper percentile additive intakes amongst acceptable reporters to corresponding intake estimates amongst the total sample of reporters did not exceed 1.06 when results were expressed as total population or consumer-only intakes. Findings illustrated that energy under-reporting does not materially influence estimates of food additive exposure based on the four food additives studied. However, a number of situations were identified where the under-reporting might exert a more significant impact on resulting exposure estimates.     

Assessment of food intake input distributions for use in probabilistic exposure assessments of food additives

A key component of a food chemical exposure assessment using probabilistic analysis is the selection of the most appropriate input distribution to represent exposure variables. The study explored the type of parametric distribution that could be used to model variability in food consumption data likely to be included in a probabilistic exposure assessment of food additives. The goodness-of-fit of a range of continuous distributions to observed data of 22 food categories expressed as average daily intakes among consumers from the North-South Ireland Food Consumption Survey was assessed using the BestFit® distribution fitting program. The lognormal distribution was most commonly accepted as a plausible parametric distribution to represent food consumption data when food intakes were expressed as absolute intakes (16/22 foods) and as intakes per kg body weight (18/22 foods). Results from goodness-of-fit tests were accompanied by lognormal probability plots for a number of food categories. The influence on food additive intake of using a lognormal distribution to model food consumption input data was assessed by comparing modelled intake estimates with observed intakes. Results from the present study advise some level of caution about the use of a lognormal distribution as a mode of input for food consumption data in probabilistic food additive exposure assessments and the results highlight the need for further research in this area.     

Methodological evaluation of method for dietary heavy metal intake

ABSTRACT:  Exposure to environmental pollutants is an important problem of environmental toxicology. Heavy metals are regarded as toxic to living organisms because of their tendency to accumulate in selected tissues. Moreover, their presence is a causative agent of various sorts of disorders, including neuro-, nephro-, carcino-, terato-, and immunological. Exposures of human to environmental chemicals can occur simultaneously from various sources. One exposure route is ingestion of hazardous chemicals through contaminated food and beverages. Considering the above-mentioned menace, efforts should be focused on the estimation of dietary intakes of potential toxic agents by consumers. Dietary exposure assessment to nonnutrients is usually performed by combining 2 sets of data—the concentration of elemental contaminants in various food products and the consumption data of these food items. A variety of approaches exist for evaluating exposure to food chemicals, and the method chosen is influenced, among others, by the intended goal, the availability of data, cost, and time frame. Moreover, it is also important to note how accurate and detailed the information concerning toxic elements intake needs to be. There are a number of sources of food consumption data currently used in exposure assessments, which range from 1 d to habitual intake. Frequently, the heavy metals for which dietary exposure is of interest are present in trace and ultra-trace quantities. Hence, an analytical technique with sufficient sensitivity is required for the accurate determination of these chemicals in food samples. It is important to remember that the accuracy of quantitative analysis is strongly dependent on the sampling and preparation steps.     

Estimation of Food Additive Intake—Overview of the Methodology

With increase in processed and packaged food intake, there has been a growing concern regarding excessive use of food additives in food production. To assess whether these food additives pose a health hazard, their intake levels need to be defined. Various methods, such as per capita approach, total diet studies, Danish budget method, and individual- and household-based diet surveys, have been used for estimating exposure to food additives, namely, preservatives, synthetic food colors, artificial sweeteners, and antioxidants. A regular monitoring mechanism should be in place for assessing risk of exposure to additives, especially in developing countries of the world.     

Content and Bioaccessibility of Aluminium in Duplicate Diets from Southern Spain

Aluminium is found naturally in foods and beverages, but levels increase notably during processing, packaging, storage, and cooking, as a consequence of its presence in food additives and the wide use of aluminium utensils and vessels. Dietary intake of Al was estimated in 2 population groups in southern Spain (families and university students) in a duplicate diet sampling study. Diets were sampled for 7 consecutive days, and Al was determined in acid‐mineralized samples with electrothermal atomization‐atomic absorption spectrometry (ETA‐AAS). Mean values for Al intake were 2.93 and 1.01 mg/d in families and students, respectively, ranging from 0.12 to 10.00 mg/d. Assuming an average adult weight of 60 kg, the mean dietary exposures to aluminium were 0.34 and 0.12 mg/kg body weight/week in these groups, which amounted to 17% and 6% of the 2 mg/kg body weight estimated as the tolerable weekly intake by the Joint FAO/WHO Expert Committee on Food Additives. Bioaccessibility of dietary Al tested with in vitro studies ranged from 0.30 to 17.26% (absorbable fraction). The highest aluminium intakes were observed in subjects consuming diets with a low adherence to the Mediterranean diet, which were associated to high consumption of processed and canned food. On the contrary, subjects consuming diets with a high adherence to the Mediterranean diet patterns showed the lowest Al intakes. The present findings are useful for giving both a reliable estimate of total aluminium dietary intake and tolerable intake levels according to usual dietary habits.     

Identifying core foods for total diet studies: a comparison of four different approaches

Total diet studies (TDS) are recognised as a cost-effective approach in estimating dietary exposure to chemicals in food. It has been advised that candidate foods for inclusion in TDS analysis should represent a large part of the typical diet to estimate accurately the exposure of a population group. To date a variety of approaches have been used to determine which foods should be included in a core TDS food list, with no agreed method. Therefore, the aim of this study was to compare four of these approaches by creating TDS food lists for adult populations in Europe using summary statistics data from the EFSA Comprehensive Food Consumption Database. Both a food group approach and a total diet approach were employed, and foods were selected for inclusion in the TDS food lists if they met the criteria as defined by consumption weight and/or a 5% consumer rate. Using all four approaches the representation of the diet across the TDS food lists was > 85%. The food group approach showed a slight advantage in diet representation, but produced considerably longer TDS food lists in comparison with the total diet approach. The addition of a 5% consumer rate to both approaches had little impact on results. In conclusion, the total diet approach may act as a more cost-effective approach in comparison with the food group approach while still achieving comprehensive results in the creation of core TDS food lists.     

Estimates of intakes: methodology and results of some studies carried out in Italy.

The methods which may be applied to estimating population intakes of food additives are outlined. The applications in studies of the intakes of some preservatives and food colours in Italy are reported. It was concluded that there is a need to investigate comparability between the various methods used. The surveys carried out indicated that, in general, the levels of consumption of the additives studied did not present a health risk.     

Longitudinal modelling of the exposure of young UK patients with PKU to acesulfame K and sucralose

ABSTRACT

Artificial sweeteners are used in protein substitutes intended for the dietary management of inborn errors of metabolism (phenylketonuria, PKU) to improve the variety of medical foods available to patients and ensure dietary adherence to the prescribed course of dietary management. These patients can be exposed to artificial sweeteners from the combination of free and prescribed foods. Young children have a higher risk of exceeding acceptable daily intakes (ADI) for additives than adults, due to higher food intakes per kg body weight. Young patients with PKU aged 1–3 years can be exposed to higher levels of artificial sweeteners from these dual sources than normal healthy children and are at a higher risk of exceeding the ADI. Standard intake assessment methods are not adequate to assess the additive exposure of young patients with PKU. The aim of this study was to estimate the combination effect on the intake of artificial sweeteners and the impact of the introduction of new provisions for an artificial sweetener (sucralose, E955) on exposure of PKU patients using a validated probabilistic model. Food consumption data were derived from the food consumption survey data of healthy young children in the United Kingdom from the National Diet and Nutrition Survey (NDNS, 1992–2012). Specially formulated protein substitutes as foods for special medical purposes (FSMPs) were included in the exposure model to replace restricted foods. Inclusion of these protein substitutes is based on recommendations to ensure adequate protein intake in these patients. Exposure assessment results indicated the availability of sucralose for use in FSMPs for PKU leads to changes in intakes in young patients. These data further support the viability of probabilistic modelling as a means to estimate food additive exposure in patients consuming medical nutrition products.     

Total diet studies: the identification of core foods in the United States food supply.

Some total diet studies are based on the selection and analysis of core foods in a national or regional food supply. One way to select core foods is by computerized evaluation of the daily food intakes reported by subjects participating in national food consumption surveys. The foods consumed by the population groups of concern may be aggregated into core food groups. The foods within each group may be ranked according to daily intake and weight percentage of the total diet. The food that best represents each group may then be identified as a core food, and the daily consumption levels for each food group may then be assigned to the core food representing the group. Consumption levels may be determined for the specific age-sex categories of concern. To assess the representativeness of core foods identified in this manner, the food composition database of the national survey may be used to determine nutrient intakes based on the full range of foods in the database versus nutrient intakes based on the core foods.     

An analysis of the incremental value of retaining brand-level information in food consumption databases in estimating food additive intake

In the Dietary and Nutritional Survey of British Adults (DNSBA) food consumption database, brand level intake data are recorded for 2197 subjects over 7 days. This study set out to examine the incremental value of such brand level data in food consumption studies to estimate additive intake. The food codes in the DNSBA database were re-arranged into 14 food categories within each of which were varying numbers of both sub-categories of foods and of brands. Intake of the 97.5th percentile for brands and sub-categories were compared with intakes at the 97.5th percentile of the appropriate food category. Taking ≥ 60 consumers as the minimal sample size for which a 97.5th percentile statistic can be calculated, only 6% of the 1363 brands listed had sufficient data to work with. Of the 14 food categories, six had a sub-category with a 97.5th percentile in excess of that of the category but none exceeded 1.3 x 97.5th percentile intake of the category. Of the 85 brands for which there were ≥ 60 consumers, only 11 had 97.5th percentile intakes in excess of that statistic for the relevant food category and none exceeded a multiple of 1.3 times the category 97.5th percentile intakes. Unless dietary surveys are very large and carried out for longer periods of time, there is little value in retaining food consumption data at brand level. If 1.3x the intake of an additive from a given food category at the 97.5th percentile does not exceed the ADI, no sub-category or brand appears to do so. This may provide a valuable technique in crude estimates of food additive intake.     

Dietary exposure to lead, cadmium, mercury and radionuclides of an adult urban population in Lebanon: a total diet study approach.

Human exposure to toxic chemicals is suspected of being responsible for a wide range of human health disorders. This study is the first in Lebanon to evaluate the dietary exposure of an adult urban population to three heavy metals (lead, cadmium and mercury) and to radionuclides. Exposure assessment was performed by means of the total diet study approach as recommended by the Word Health Organization. Five 'total diets' were collected during 2003-04. Average and maximal consumer exposure estimates to heavy metals were calculated and compared with appropriate reference values and with intakes reported from other countries. The average dietary intakes of lead, cadmium and mercury represented 7, 17 and 5.6%, respectively, of the appropriate provisional tolerable weekly intakes (PTWI). The mean dietary intake of methylmercury represented 17.5% of the appropriate PTWI. Cs-134 and I-131 were not detected in any of the food samples. Traces of Cs-137 were only found in five food samples. The exposure assessment conducted places Lebanon among countries least exposed to heavy metals through the diet and it highlights the safety of the food supply from radioactive contamination.     

Dietary intakes of six intense sweeteners by Irish adults

This research investigated the intakes of six intense sweeteners: acesulfame-K (E950), aspartame (E951), cyclamate (E952), saccharin (E954), sucralose (E955), and steviol glycosides (E960) in the diets of Irish adults, using data from the National Adult Nutrition Survey. A food label survey that included products currently available on the Irish market supplemented the analysis. Sweetener intakes were investigated using three different exposure scenarios; beginning with a crude assessment which assumed that all foods permitted to contain the additives of interest always did contain them, and at their maximum permitted level (Tier 1). Refined assessments estimated intakes of the six sweeteners using food consumption data up to brand level with additive occurrence data from a survey of products currently available on the Irish market (Tier 2) and sweetener concentration data (Tier 3). Results of all exposure assessment scenarios demonstrate that intakes of each of the sweeteners of interest by the total population were below the relevant ADI level (mg kg^?1 bodyweight^?1), even by high consumers (P99). The three sweeteners consumed in highest amounts were acesulfame-k, aspartame, and sucralose. The main sources of these sweeteners in the diet were ‘cider and perry’, ‘energy reduced and no added sugar (ER and NAS) carbonated flavoured drinks’, ‘table-top sweeteners’, ‘dairy products’, ‘solid food supplements’, and ‘sauces’. Intakes of the six intense sweeteners are currently not a concern among Irish adults. However, exposure to these chemicals should be monitored on a regular basis due to evolving market and consumption patterns.     

Probabilistic modelling to assess exposure to three artificial sweeteners of young Irish patients aged 1–3 years with PKU and CMPA

The choice of suitable normal foods is limited for individuals with particular medical conditions, e.g., inborn errors of metabolism (phenylketonuria – PKU) or severe cow’s milk protein allergy (CMPA). Patients may have dietary restrictions and exclusive or partial replacement of specific food groups with specially formulated products to meet particular nutrition requirements. Artificial sweeteners are used to improve the appearance and palatability of such food products to avoid food refusal and ensure dietary adherence. Young children have a higher risk of exceeding acceptable daily intakes for additives than adults due to higher food intakes kg^–1 body weight. The Budget Method and EFSA’s Food Additives Intake Model (FAIM) are not equipped to assess partial dietary replacement with special formulations as they are built on data from dietary surveys of consumers without special medical requirements impacting the diet. The aim of this study was to explore dietary exposure modelling as a means of estimating the intake of artificial sweeteners by young PKU and CMPA patients aged 1–3 years. An adapted validated probabilistic model (FACET) was used to assess patients’ exposure to artificial sweeteners. Food consumption data were derived from the food consumption survey data of healthy young children in Ireland from the National Preschool and Nutrition Survey (NPNS, 2010–11). Specially formulated foods for special medical purposes were included in the exposure model to replace restricted foods. Inclusion was based on recommendations for adequate protein intake and dietary adherence data. Exposure assessment results indicated that young children with PKU and CMPA have higher relative average intakes of artificial sweeteners than healthy young children. The reliability and robustness of the model in the estimation of patient additive exposures was further investigated and provides the first exposure estimates for these special populations.     

The Canadian total diet study design: 1992–1999

This paper describes the design of the fourth phase of the Canadian total diet study, conducted for the period 1992–1999. During this phase, complete sets of foods were purchased from eight cities (from one of them twice). For each of the sets, individual foods were prepared as for consumption into about 140 different food composites at Kemptville College, homogenised and bottled. Water from Kemptville, Ontario, was used for the preparation of the foods. The composites were stored frozen at??20°C and then analysed in the Food Research Division for chlorinated dioxins and dibenzofurans, pesticides, PCBs and trace elements. The analytical results were combined with average food consumption values for different age/sex groups, and dietary intakes were calculated. The design of the total diet study provided information to achieve the following goals: (a) background concentrations of the chemicals in the 140 different food composites, (b) average dietary intakes of the chemicals by the population and by different age/sex groups, (c) percent contribution of individual foods and food groups to the dietary intakes, (d) identification of individual contaminated foods and (e) identification of trends in human exposure with time.     

Core foods of the US food supply

The core food dietary intake/exposure model may be used to assess the average intake of nutrients, contaminants and other food components by a population group and various subgroups of the population. The core food model is a mechanism that allows for the selection of the most important foods in a population's food supply so that these foods can be obtained and analysed in the laboratory. The core foods for a population change over time as food consumption patterns are altered by changes in the food supply and/or changes in the demographics of the population. Core foods of the US diet were selected using food consumption data from the 1994-96 US Department of Agriculture (USDA) Continuing Survey of the Food Intake of Individuals (CSFII). The 304 core foods were identified by placing the 5722 foods consumed by survey participants into about 300 groups. The groupings were based on food type, food use and similarity of nutrient composition. The foods within each grouping were ranked in terms of frequency of use and weight of intake, and one food item within each group was selected to become a core food and represent its group. In the model, each core food assumes the full dietary intake (by weight) for all the foods in its group. Daily mean intakes of the 304 selected core foods are presented for women and men of 19-30 years of age. If the food components of interest to investigators using this model are found in selected foods or food types, then only these foods need be analysed. The list of 304 core foods may be shortened by further aggregation to match the needs of different investigators. For example, limited data on food composition may warrant use of a shorter core food list. A shortened food list with average daily intakes of 78 core foods for women and men of 19-30 years of age is provided as an example.