A network to collect and store Italian food composition data

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A network to collect and store Italian food composition data S Salvini 1, P Gnagnarella 2, F Concina 1, L Marletta 3, E Camilli 3, M Parpinel 1 simonetta.salvini58@gmail.

1 A network to collect and store Italian food composition data S Salvini 1, P Gnagnarella 2, F Concina 1, L Marletta 3, E Camilli 3, M Parpinel 1 [email protected] 1 Dipartimento di Scienze Mediche e Biologiche, Università degli Studi di Udine, Udine (Italy) 2 Divisione di Epidemiologia e Biostatistica, Istituto Europeo di Oncologia, Milano (Italy) 3 CRA- NUT Centro di Ricerca per gli Alimenti e la Nutrizione, Roma (Italy)

com 1 Dipartimento di Scienze Mediche e Biologiche, Università degli Studi di Udine, Udine (Italy) 2

2 FOOD COMPOSITION DATABASES (FCDBs) IN ITALY - TODAY nut.entecra.it CRA-NUT (ex INRAN) maintains the official national food composition database: mainly based on in house analyses (70%) 790 food items (~1000 with upcoming and documented data) Drawbacks: - limited number of food items - missing data for vitamins and minerals - info about data origin not provided

based on in house analyses (70%) 790 food items (~1000 with upcoming and documented data)

3 FOOD COMPOSITION DATABASES (FCDBs) IN ITALY - TODAY nut.entecra.it CRA-NUT (ex INRAN) maintains the official national food composition database: mainly based on in house analyses (70%) 790 food items (~1000 with upcoming and documented data) Drawbacks: - limited number of food items - missing data for vitamins and minerals - info about data origin not provided European Institute of Oncology (IEO) developed a FCDB for Epidemiological studies: mainly based on the CRA-NUT database, completed using foreign data (almost zero missing datapoints) 935 food items (979 with upcoming fruit group update) Drawbacks: - limited number of food items - foreign data could be inappropriate - costly to maintain, no ad hoc funding available

Drawbacks: - limited number of food items - missing data for vitamins and minerals - info about data origin not provided www.bda-ieo.

4 BDA- IEO 2008 SOURCES OF DATA Estimates/ calculations 7% Other sources 2% USDA (USA) 15% CRA-NUT, other italian sources (IT) 41% McCance (UK) 35%

5 QUALIFU-SIAGRO WP4 - Project of an Italian Network for the collection of bibliographic and analytic data Within the activities of the reorganization of the INRAN Food Database - project QUALIFU/SIAGRO 1 the UO4/WP4 was aimed to: create a network of laboratories willing to provide their analytical data organize and document the data according to EuroFIR standards ( make the database available for updates of the Italian FCDBs Responsibility: Dipartimento di Igiene ed Epidemiologia ACTIVITIES TO DATE Address-book of Italian labs involved with food analyses Mail and phone contacts with laboratories Web site NUTRIRETE.lab ( MS ACCESS database 1 QUALIFU: funded by the Ministero delle Politiche Agricole e Forestali MiPAAF

8 NUTRIRETE.lab The website ( ) LABORATORIES - 15 labs in the network (no formal contracts) - Universities n = 8 - Public insitutions n = 4 - Private laboratories n = 1 - Food industry n = 2-16 other labs (13 Universities, 3 public institutions) PUBLICATIONS/ REPORTS - 87 papers listed on the web site (63 from labs in the network!) - >30 papers ready to be entered

Public insitutions n = 4 - Private laboratories n = 1 - Food industry n = 2-16 other labs (13

9 NUTRIRETE.lab The database ( ) PUBLICATIONS/ REPORTS 13 papers: comp data already entered and documented FOOD COMPOSITION DATA generic and specific food items (e.g. carrot, steamed) food components, among which - macronutrients TAC (total antioxidant capacity) phenolic compounds vitamin C carotenoids fatty acids

10 MAIN STRUCTURE/RELATIONS of the DATABASE

11 EXAMPLE OF DOCUMENTED DATA - MONTASIO CHEESE

12 EXAMPLE OF DOCUMENTED DATA - MONTASIO CHEESE Data are documented according to EuroFIR standards

13 EXAMPLES OF DOCUMENTED DATA Macronutrients and conjugated linol ac. in cheese. Ref Cicognini et al Macronutrients and metals in mussels, sampled in different months. Ref. Prato et al. 2012

14 FLOW OF ACTIVITIES INCOMING DATA

15 FLOW OF ACTIVITIES OUTGOING DATA?

16 Products Complete database (electronic files) Ad hoc extractions of selected data (electronic files) Reports on selected food items/ food groups/ food components Education leaflets (printed and electronic material) Food labels Other? NUTRIRETE.lab TOMORROW? We need to find funding opportunities! Donations from foundations, banks etc. are needed, but we have to find also other ways to generate some income. Possible Clients: Food database compilers in Italy, EU, etc. Universities, public and private public institutions for research purposes Food industry, for food development and for labeling purposes Software developers: nutrition software and APPs Nutritionists and students: research, study, business General population: nutrition education Other?

are needed, but we have to find also other ways to generate some income. Possible Clients: Food database compilers in Italy, EU, etc.

17 For more information please contact: Simonetta Salvini CITATIONS: NUTRIRETE.lab CRA-NUT FCDB BDA FCDB for Epidemiological Studies in Italy - MiPAAF, Progetto QUALIFU-SIAGRO, Ministero delle Politiche Agricole e Forestali D.M. 2087/7303/09 EuroFIR - European Food Information Resource -

html BDA FCDB for Epidemiological Studies in Italy - www.bda-ieo.

EuroFIR. QUALITY SYSTEMS AS A TOOL IN VALIDATION OF NUTRIENT DATA: THE EuroFIR APPROACH. 31st NNDC, Washington, 27 April, 2007

EuroFIR. QUALITY SYSTEMS AS A TOOL IN VALIDATION OF NUTRIENT DATA: THE EuroFIR APPROACH. 31st NNDC, Washington, 27 April, 2007 EuroFIR QUALITY SYSTEMS AS A TOOL IN VALIDATION OF NUTRIENT DATA: THE EuroFIR APPROACH Isabel Castanheira 1, Susanne Westenbrink 2, Marine Oseredczuk 3, Paul Hulshof 4, Peter Hollman 4, Jayne Ireland 3,