Full Members

QUADRAM – Quadram Institute Bioscience, UK
 
 
     

NHID – National Institute for Health Development, Estonia
 
 
 

JSI – Institut Jozef Stefan, Slovenia     https://www.ijs.si/ijsw/JSI
 
 
 
   
 

ANSES – French Agency for Food, Environmental and Occupational Health & Safety, France
 
 
 

HHF – Hellenic Health Foundation, Greece
 

NFSA – The Norwegian Food Safety Authority, Norway
 
INSA- Instituto Nacional de Saude Dr Ricardo Jorge, Portugal

NFA – Swedish National Food Agency, Sweden
 
 

IMR – Institute of Medical Research, University of Belgrade, Republic of Serbia
 
NUBEL – Nutrienten Belgie vzw, Belgium
   

RIVM – Institute of Public Health and the Environment, The Netherlands
   

BEDCA/University of Cordoba, Spain
 
 

 IAEI – Institute of Agricultural Economics and Information, Czech Republic
   

Food Standards Australia New Zealand
 
UVI – University of Vienna, Austria
   

BIOR – Animal Health and Environment, Latvia
   

CREA – Consiglio per la Ricerca e la sperimentazione in Agricoltura, Italy  

EuroFIR Associate Members

Plant & Food Research – Institute for Plant & Food Research Limited, New Zealand
   

MRI – Max Rubner Institute, Germany
   

Analyse & Realise GmbH, Germany https://www.a-r.com/    
Dato, Austria https://www.ethz.ch/en.html    
VITALINQ – IP Health Solutions BV Vitalinq, the Netherlands https://www.vitalinq.nl/    
MS Nutrition, France http://ms-nutrition.com/en/    
CAPNUTRA, Republic of Serbia http://www.capnutra.com/    
Colombani Consulting, Switzerland https://www.ugent.be/en    
Eaternity, Switzerland http://www.eaternity.org/foodprint/database    
EHPM – European Federation of Associations of Health Products Manufacturers, Belgium http://www.ehpm.org/    
IEO – European Oncology Institute, Italy http://www.esmo.org/Patients/Designated-Centres-of-Integrated-Oncology-and-Palliative-Care/European-Institute-of-Oncology-Italy    
Fikrimuhal Teknoloji Ltd. Sti, Turkey http://www.fikrimuhal.com/tr/”>http://www.fikrimuhal.com/tr/”http://www.fikrimuhal.com/tr/  
Food Angels Ldt, United Kingdom http://www.fikrimuhal.com/tr/”>http://www.foodangels.co.uk/”>  
Hylobates – Hylobates Consulting Srl, Italy http://www.hylobates.it/  
MANE – V MANE Fils SA, France http://www.mane.com/legal  
IRCCS – IRCCS Istituto Neurologico Mediterraneo Neuromed, Italy http://www.neuromed.it/  
Danone – Danone Research Global Nutrition Department, France http://www.nutriciaresearch.com//  
NANYANG Polytechnic – School of Chemical & Life Sciences_Nanyang Polytechnic, Singapore http://www.nyp.edu.sg/schools/scl.html  
Polytec, Denmark http://www.polytec.com/eu/<  
SSN – Swiss Nutrition Society, Switzerland http://www.ssns.ch/nutrition-du-sport/supplements/?lang=fr  
CEU – Universidad CEU San Pablo, Spain http://www.uspceu.com/  
Uzhhorod National University Medical Faculty, Ukraine http://www.uzhnu.edu.ua/en/  
JRC – European Commission Joint Research Centre, Italy https://ec.europa.eu/info/departments/joint-research-centre_en  
University of Brescia, Italy https://en.unibs.it/  
University of Aberdeen, United Kingdom https://www.abdn.ac.uk  
Authors Maillot M. (MS Nutrition)  Darmon N. (UMR NORT INRA/INSERM/AMU, Marseille, France) Abstract Objectives

It is expected from nutrient profiling systems that they classify individual foods according to their contribution to healthy and nutritionally adequate diet.The SENS is a 4-classes nutrient profiling system proposed as a basis for a simplified labelling system. It is derived from the SAIN,LIM system initially developed by the French Food Standard Agency. The present study aims at validating the SENS nutrient profiling system by examining its ability to classify foods in a hierarchical order according to their contribution to nutritionally adequate diets.

Materials and Methods

The 1192 foods of the French food composition database were assigned into the 4 classes defined by the SENS. Foods with the most/least favourable nutrient profiles were in Class-1 and Class-4, respectively. For each individual diet consumed by 20-75 year old adults in the nationally representative INCA2 dietary survey (n=1719 observed diets), an optimized diet (i.e. iso-energetic, nutritionally adequate and as close as possible from the subject’s observed food choices) was designed with individual diet modelling. Each optimized diet respected the WHO recommendations for proteins, total carbohydrates, free sugars (<10% of total energy), total lipids, saturated fatty acids (SFA, <10% of total energy), cholesterol and essential fatty acids), the Nordic recommendation for sodium, and the French recommendations for fibers, 10 vitamins, 9 minerals. The contribution of foods from the 4 SENS classes to total energy was assessed before and after the optimization process, for each individual diet.

Results

On average, the optimization induced a 9.2 points increase of energy from Class-1 foods (20.5% vs 29.7% in observed vs optimized diets, p<0.001), a 4.4 points increase from Class-2 foods (26.4% vs 30.8%, p<0.001), a 2.3 points decrease from class-3 foods (25.6% vs 23.3 %, p<0.001) and a 11.2 points decrease from Class-4 foods (27.4% vs 16.2%, p<0.001). The increase of energy from Class-1 and Class-2 was verified for 96% and 73%, respectively, of the adult sample and the decrease of energy from Class-3 and Class-4 was confirmed for 63% and 94%, respectively.

Conclusion

The shift in food intakes needed to reach nutritional adequacy – namely substantial increase, moderate increase, moderate decrease and important decrease of foods from classes 1, 2, 3 and 4 respectively -followed a hierarchical progression according to the 4 SENS classes Therefore, the SENS nutrient profiling system is a relevant tool to classify foods in a hierarchical way according to their contribution to nutritionally adequate diets, suggesting that it could be useful in the context of simplified nutritional labelling in Europe.

Keywords:
  • Diet modelling
  • Nutrient profiling
  • Food labelling
Authors Durazzo A., Lisciani S., Camili E., Marconi S., Gabrielli P., Gambelli L., Aguzzi A., Gambelli L., Lucarini M., Marletta L (CREA (Council for Agricultural Research and Economics) – Food and Nutrition) Abstract

Nowadays, the concept of “optimal nutrition”, is leading researchers to study not only the nutritional properties and roles of individual components or of food simples, but also their combination in dishes, meals and diets. Italy is extremely rich in traditional foods and dishes, and their production has been passed from generation to generation, thus playing an important role within local cultures.  Efforts have been increasingly made to analyze the nutritional composition of traditional dishes both to know more what we eat and to include them in national Food Composition DataBase (FCDB) (1, 2).

Objectives

This work aims at evaluating the nutritional composition, their coverage for Dietary Reference Values (DRVs) in Italian population, and the antioxidant properties of some popular dishes commonly consumed and representative of the traditional cousin, for a better understanding of their nutritional role. Material and Methods. The chosen dishes were: spaghetti alle vongole (spaghetti with claims), pasta alla carbonara (pasta with eggs, bacon and parmesan), pasta alla amatriciana (pasta with tomato, cured pork cheek and pecorino cheese), pomodori al riso (rice-stuffed tomatoes), gateau di patate (potatoes pie), carciofi alla romana (stuffed artichokes), pan di spagna (sponge cake), torta di mele (apple cake). Every recipe was prepared in duple according to traditional cooking techniques in a dedicated lab-kitchen following standardized protocols (recipe, ingredients and preparation). Only pomodori al riso dishes were purchased from different take-away points. Chemical parameters (protein, fat, ash, carbohydrates, dietary fibre) were evaluated by the AOAC Official Methods. Antioxidant properties by FRAP (Ferric Reducing Antioxidant Power) and Total Polyphenol Content (TPC) were determined in aqueous-organic extracts and in the corresponding residues.

Main finding

Results showed that chemical composition and energy value varied extensively because of the variety, the type and amounts of ingredients in the analyzed dishes, and thus defined different daily nutrient intakes and their association with health effects.  Regarding antioxidant properties, for all dishes, except the carciofo alla romana, the hydrolysable polyphenols (residues) were major contributors to the total antioxidant activity. The carciofo alla romana dish reached the highest FRAP value (87.46 µmol/g FW) in aqueous-organic extract, while other recipes were within the lower range (1.27-6.25 µmol/g FW). In residue the values range from 10.53 to 62.48 µmol/g FW.

Conclusion

Our findings thus provide knowledge of the nutrient profile of some Italian traditional dishes and contribute to updating the Italian Food Composition Database, also by means of values for their antioxidant properties. The availability of these new and suitable food composition data will also facilitate further nutrition-related studies and will likely encourage the consumption of dishes rich in key nutrients and bioactive molecules.

Keywords:
  • Nutrient profiling
  • Consumption frequency
  • Portion size
Authors Lombardi Boccia G., Lucarini M., d’Evoli L., Aguzzi A., Gabrielli P., Camili E. (CREA (Council for Agricultural Research and Economics) – Food and Nutrition) Abstract

The ongoing study is planned to provide a picture of compositional figure and nutritional value of meat based dishes typical of Italian culinary tradition. The goal is to develop a database of the recipes among the most widespread ones in Italy in order to estimate the dietary nutrient intake through diet. The main database outcome lies in offering a range of nutritional data that are a useful tool for the food policy makers.

Data on the composition of cooked foods and dishes are often missing in nutritional databases, conversely they can offer reliable information on the effective nutrient intake and can represent a proper and useful tool to guide consumers and nutritionists in the formulation of specific diets. Material and Methods Several meat cuts of bovine and pork were analysed and, in order to assess changes in the nutrient composition, raw and cooked meat cuts were compared.

Each selected dish was prepared three times in a test kitchen; stainless steel tools were used. After cooking, each dish was homogenised and stored at -30°C for subsequent analyses. Samples were analysed for macro-nutrients (AOAC), fatty acids (GC/MS), cholesterol, macro elements (Ca, Mg, Na, K, P) and trace elements (Fe, Zn, Cu, Mn) (ICP-OES), B vitamins (thiamin, riboflavin, niacin), vitamin E and t-retinol content (LC/MS/MS).

Results

For each recipe more than 30 nutrients are presented. The database contains information on cooking methods and recipe formulation (ingredients). Our findings show substantial differences between raw meat and the respective meat based dishes. These differences were mainly due to ingredients. Among ingredients, olive oil was responsible for the shift of fatty acids classes to MUFA as well of the significant increase in vitamin E content.

Conclusion

The choice of the foods for daily consumption and the way in which they are prepared, the ingredients included in the recipes, strongly changes their intrinsic nutritional value. This can play an important role in determining the overall quality of the daily diet and have, therefore, a direct impact on health status. Our findings provide data about changes occurring upon cooking in foods as consumed in the daily recipes compared with the raw foods. The knowledge of the changes in molecules of nutritional interest (eg. fatty acids, iron, zinc, vitamins, cholesterol) occurring upon cooking is of importance because this allows to get a correct calculation of their actual intake at consumer level, and can be a proper and useful tool to formulate more accurate diets. The study contributes to establish criteria necessary to design appropriate data base that includes the recipes specific for meat-based dishes, and can highlight the impact of certain foods and diets on health, and assist potential users and industry leaders to develop better guidelines food policy.

Keywords:
  • database
  • meat dishes
  • recipe

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EuroFIR e-learning module download

EuroFIR e-learning module “Nutrient analysis for non-chemists”

The EuroFIR e-learning modules were created together with the University of Wageningen and the software company Topshare, both based in The Netherlands. EuroFIR acknowledges the University of Wageningen for it’s great effort and excellent teamwork in this activity as a partner of the EuroFIR project. You have to agree on the licensing agreement Full version, 2010. (zip file – 27 MB) To run the full version of the e-learning module first read these instructions: 1) first download the zip file on to your computer Full 2) open the folder ‘EuroFIR e-learning’ 3) open the file with the name ‘index.html’ in your web browser and start the program. Recommended web browsers are Internet Explorer and Mozilla FireFox or Safari for Mac users. Your browser may be protected against pop-ups. In this case the following message is displayed on top: “To help protect your system…..” Click on this message and select: Allow blocked contents.

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The EuroFIR e-learning modules were created together with the University of Wageningen and the software company Topshare, both based in The Netherlands. EuroFIR acknowledges the University of Wageningen for its great effort and excellent teamwork in this activity as a partner of the EuroFIR project.
 
EuroFIR AISBL is the owner and publisher of the EuroFIR e-learning modules.