Abstract

Italian cuisine and its traditional recipes experience an ever-increasing popularity around the world. The “Integrated Approach” is the key to modern food research and the innovative challenge for analyzing and modeling agro-food systems in their totality. The present study aims at applying and evaluating Fourier Transformed Infrared (FTIR) spectroscopy for the analysis of complex food matrices and food preparations. Nine traditional Italian recipes, including First courses, One-dish meals, Side courses, and Desserts, were selected and experimentally prepared. Prior to their analysis via FTIR spectroscopy, the samples were homogenized and lyophilized. The IR spectroscopic characterization and the assignment of the main bands was carried out. Numerous peaks, which correspond to functional groups and modes of vibration of the individual components, were highlighted. The spectra are affected by both the preparation procedures, the cooking methods, and the cooking time. The qualitative analysis of the major functional groups can serve as a basis for a discrimination of the products and the investigation of fraud. For this purpose, the FTIR spectra were evaluated using Principal Component Analysis (PCA). Our results show how the utilization of vibrational spectroscopy combined with a well-established chemometric data analysis method represents a potentially powerful tool in research linked to the food sector and beyond. This study is a first step towards the development of new indicators of food quality.

Highlights

  • Food research is focusing on the chemical characteristics and functions of individual foods and/or food components, but is aimed at understanding their combination in dishes, meals, and diets for a more complete and real assessment of their nutritional impact

  • The present study aims at applying and evaluating Fourier Transformed Infrared (FTIR) spectroscopy for the analysis of complex food matrices and food preparations

  • Our results show how the utilization of vibrational spectroscopy combined with a well-established chemometric data analysis method represents a potentially powerful tool in research linked to the food sector and beyond

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Summary

Introduction

Food research is focusing on the chemical characteristics and functions of individual foods and/or food components, but is aimed at understanding their combination in dishes, meals, and diets for a more complete and real assessment of their nutritional impact. Costa et al [9] and Lombardi Boccia e Marletta [5] emphasized the importance of knowing the nutritional composition Their aim was to contribute to the promotion of the local biodiversity and sustainable diets by maintaining healthy dietary patterns within local cultures. Karoui et al [31] described the application of IR spectroscopy and chemometric data analysis to different food groups: dairy products, meat and meat products, fish, edible oils, cereals and cereal products, sugar and honey, fruit and vegetable, and coffee. Their focus was on the analysis of intact food systems and the exploration of their molecular structure-quality relationships. The present work aims at applying an integrated analytical approach for classification of these dishes as reported for the case study of the Béchamel sauce [13]

Selection of Recipes and Experimental Preparations
Preparation Procedures and Cooking Methods
FTIR-ATR Analysis
Qualitative Analysis of the Spectra
Multivariate Analysis of the Spectra
Qualitative Analysis
95 Carciofi alla romana
Multivariate Data Analysis
Full Text
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