Annex A to the technical report on the raw primary commodity (RPC) model - Input data

The raw primary commodity model:

Dietary exposure is typically calculated by combining food consumption data with occurrence data. EFSA’s food consumption data are stored in the Comprehensive European Food Consumption Database (Comprehensive Database). Some of these data, however, cannot be used in exposure assessments when the occurrence data are reported for the raw primary commodities (RPCs). The RPC model aims to bridge this gap by transforming the Comprehensive Database into RPC consumption data. Using the RPC model, EFSA successfully developed a new RPC Consumption Database, which contains 51 dietary surveys from 23 different countries. These surveys cover a total of 94,532 subjects and 26,573,088 RPC consumption records. The consumption data generated by the RPC model were manually checked and validated by means of case studies. These case studies demonstrated that the RPC consumption data are suitable for assessing dietary exposure to chemicals where the occurrence data are predominantly available for RPCs.

Annex A to the technical report on the raw primary commodity model:

Annex A is an excel file which presents input data tables used by the RPC model. The annex contains the following tables:

Table A.1 (Survey table) - An overview of the food consumption surveys incorporated in the RPC model

Table A.2 (FoodEx table) - An outline of the food classification system used in the RPC model (EFSA's FoodEx classification system with additional codes)

Table A.3 (Probability table) - Manages foods coded at food group level (example, breakfast cereals)

Table A.4 (Disaggregation table) - Disassembles composite foods into their single components (RPC derivatives and/or RPCs)

Table A.5 (Conversion table) - Converts amounts of RPC derivatives into corresponding amounts of RPC

Table A.6 (Component table) - Overview of the search strings used for the probability analysis of components