Sarvan Irmela, Bürgelt Michaela, Lindtner Oliver, Greiner Matthias
Bundesinstitut für Risikobewertung, Max-Dohrn-Straße 8-10, 10589, Berlin, Deutschland.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2017 Jul;60(7):689-696. doi: 10.1007/s00103-017-2566-1.
The dietary exposure of a population to chemical substances is estimated based on representative consumption data and data on the occurrence of substances in foods. Consumption data in Germany for different age groups are provided by the National Nutrition Survey ll, VELS, EsKiMo and the ongoing KiESEL study. The data for the levels of substances in foods is currently obtained from the German food monitoring programme (Lebensmittel-Monitoring) and the German Food Composition Table (Bundeslebensmittelschlüssel) and is not sufficient for a comprehensive evaluation of dietary exposure in Germany. More data is needed and, in particular, the range of analysed substances should be broadened to reduce the uncertainties of the exposure assessment. A representative data basis for concentrations of substances in foods will be established with the first German total diet study, called the BfR MEAL study. The study will markedly reduce major uncertainties in the dietary exposure assessment through its wide coverage of substances in food groups, the inclusion of prepared foods, the orientation on low measurement limits as well as the analysis of substances without a reliable data basis.
根据具有代表性的消费数据以及食品中物质的存在数据，估算人群对化学物质的膳食暴露量。德国不同年龄组的消费数据由第二次全国营养调查、VELS、EsKiMo以及正在进行的KiESEL研究提供。目前，食品中物质含量的数据来自德国食品监测计划（食品监测）和德国食品成分表（联邦食品代码），这些数据不足以对德国的膳食暴露进行全面评估。需要更多数据，特别是应扩大分析物质的范围，以减少暴露评估的不确定性。通过首次德国总膳食研究（即BfR MEAL研究），将建立食品中物质浓度的代表性数据基础。该研究将通过广泛涵盖食品组中的物质、纳入加工食品、以低测量限为导向以及对缺乏可靠数据基础的物质进行分析，显著减少膳食暴露评估中的主要不确定性。
