Antonio Raffo

Impact of innovative controlled atmosphere storage technologies and postharvest treatments on volatile compound production in cv. Pinova apples.

Organically grown apples cv. Pinova harvested at two different dates were stored at 1.3 degrees C for up to 4 months in air, up to 7 months in ULO (1.5 kPa of O(2) and 1.3 kPa of CO(2)) and in dynamic controlled atmosphere (DCA) conditions (0.4-0.6 kPa of O(2) and 0.6-0.8 kPa of CO(2)); the DCA storage method involved the use of a chlorophyll fluorescence monitoring system in order to detect low-O(2) stress in apples and to allow for the dynamic adaptation of storage atmosphere to O(2) levels that were lower than in ULO but still tolerated by fruits. A postharvest 1-MCP treatment (for 24 h at 1.3 degrees C) and a hot water treatment (for 180 s at 50 degrees C) were also tested on apples stored afterward in ULO and air, respectively. Volatile compounds isolated from the pulp of fruits were measured after 4 and 7 months, just upon removal from storage and after 11 days at 22 degrees C. Total amount of aroma compounds detected in apples stored in DCA was markedly higher (from 2- to 4-fold) than in fruits exposed to 1-MCP + ULO but, at most sampling times, significantly lower than in ULO fruits. Moderate differences in storage atmosphere composition between ULO and DCA significantly affected both total amount and profile of volatile esters. Analogous effects were observed on the alcohol precursors of the main esters. Exposure to 1-MCP inhibited biosynthesis of straight-chain esters more than that of branched-chain esters. The hot water treatment did not seem to produce marked changes in volatile composition after four months of air storage, except for a sharp accumulation of aldehydes during the shelf-life time. DCA storage technology, besides avoiding any chemical treatment, can preserve apple aroma compounds better than 1-MCP + ULO during long-term storage.

Quantitation of tr-cinnamaldehyde, safrole and myristicin in cola-flavoured soft drinks to improve the assessment of their dietary exposure.

Quantitation of tr-cinnamaldehyde, safrole and myristicin was carried out in 70 samples of cola-flavoured soft drinks purchased in eight European countries with the purpose of assessing the variability in the levels of these substances. Results indicated a limited variability in the content of the three substances: the ratio between the 90th and the 10th percentile concentration amounted to 21, 6 and 13 for tr-cinnamaldehyde, safrole and myristicin, respectively. The uncertainty in the assessment of dietary exposure to these substances due to the variability of their level in cola-flavoured drinks was low. Based on these analytical data and on refined food consumption data, estimates of exposure to safrole associated to cola drink consumption, along with Margin of Exposure (MOE) values, were obtained. For high consumers of cola-flavoured soft drinks in certain age groups, within some European countries, MOE values lower than 10,000 resulted, MOE values of 10,000 or higher having been stated by the EFSA as a quantitative criterion to identify low concern from a public health point of view and low priority for risk management actions. The lowest MOE values, from 1900 to 3000, were observed for children and teen agers in the United Kingdom and Ireland.

Dietary exposure to flavouring substances: from screening methods to detailed assessments using food consumption data collected with EPIC-Soft software

This study aimed to compare different methods of assessing dietary exposure to flavourings in the context of a stepwise approach. The dietary exposure to four flavourings–raspberry ketone, glycyrrhizinic acid, coumarin, and caffeine–was determined. When dietary exposure exceeded the safety limits, the need for more detailed assessment using less aggregated data was judged necessary. First, screening methods–maximized survey-derived daily intake (MSDI), single-portion exposure technique (SPET), and modified theoretical added maximum daily intake (mTAMDI)–were applied. Next, individual food consumption data were used for creating models with different levels of detail to identify the foods: a model based on food groups and models based on food items. These were collected from 121 Dutch adults using a standardized 2 × 24-h dietary recall (EPIC-Soft) in the European Food Consumption Validation (EFCOVAL) study. Three food item models were developed: without improvements of the flavouring descriptor built in the software; with improvements; and with use of non-specified flavour descriptors. Based on the results of at least one of the three screening methods, refined assessment was necessary for raspberry ketone, glycyrrhizinic acid, and caffeine. When applying the food group model, the need for refinement was indicated for the four flavourings. When applying the food item models, only glycyrrhizinic acid and caffeine presented dietary exposure above the safety limits. In the raspberry ketone case, dietary exposure increased when improvements in food description were considered. The use of non-specified flavour descriptors hardly changed the results. The collection of detailed food consumption data at the individual level is useful in the dietary exposure assessment of these flavourings.

Multi-method comparison of carrot quality from a conventional and three organic cropping systems with increasing levels of nutrient recycling

BACKGROUND There is a need to advance the study of the effects of organic and conventional systems on product quality. In particular, little is known about the importance of different farming practices concerning nutrient cycling and the use of external inputs within organic farming for the quality characteristics of the products. In this study the quality characteristics of carrot grown under different farming practices (conventional and three organic cropping systems) over a two-year period were analysed with the aim of discriminating between organic and conventional and investigating the effect of different organic farming practices concerning nutrient recycling and use of external nutrient input. RESULTS All quality characteristics measured did not give a clear differentiation between the carrots from the different growing systems, even when multivariate statistical evaluation (principal component analysis) was applied, because of the significance of the differences between the field replicates within each management system and of the seasonality. Only some tendencies were emphasised over the two years that could be related to the fertilisation practices and the external inputs used. CONCLUSION The results indicated that it was not possible to discriminate over the years between carrots from conventional and different organic cropping systems even though controlled conditions and a multi-method approach of analysis were adopted.

Impact of different distribution scenarios and recommended storage conditions on flavor related quality attributes in ripening fresh tomatoes.

Tomato (Solanum lycopersicum) fruits of three cultivars picked at different ripening stages were subjected to conditions in the laboratory simulating both short and long distribution chains as occurring in commercial practice and to recommended storage conditions. At the end of the postharvest experiments, a flavor quality profile of fruits was obtained by chemical determination of volatile compounds, sugars, and organic acids, and physical measurement of texture properties. In two of the three cultivars, the overall profile and many of the individual quality attributes was significantly affected by the distribution chain conditions, the effect being more pronounced in tomatoes marketed at full ripeness than in those marketed at an intermediate ripening stage. In these cultivars, tomatoes harvested at the Breaker stage, subjected to long chain conditions and then allowed to achieve full ripeness at room temperature, did not develop the same overall profile observed on fruits fully ripened on the vine and exposed to a simulated short chain. Fruits subjected to recommended commercial storage conditions, cold stored above the chilling range (10 or 13 °C) and at high relative humidity (95%), developed a different profile when compared to fruit exposed to the simulated long distribution chain (6 °C and 55-80% RH), suggesting that these changes in temperature and relative humidity may remarkably affect flavor formation in tomato fruits. Major drivers of profile differentiation between tomatoes subjected to different postharvest scenarios were the levels of some aroma compounds derived from aminoacids (1-nitro-2-phenylethane, 2-isobutylthiazole, phenylacetaldehyde, 2-phenylethanol, and 2- and 3-methylbutanal) and lipids ((E,E)- and (E,Z)-2,4-decadienal), and, among nonvolatile flavor compounds, of organic acids (citric and malic).

Quantification of allyl hexanoate in pineapple beverages and yogurts as a case study to characterise a source of uncertainty in dietary exposure assessment to flavouring substances

One source of uncertainty in the estimation of dietary exposure to flavouring substances is the uncertainty in the occurrence and concentration levels of these substances naturally present or added to foodstuffs. The aim of this study was to assess the variability of concentration levels of allyl hexanoate, considered as a case study, in two main food categories to which it is often added: pineapple juice-based beverages and yogurts containing pineapple. Thirty-four beverages and 29 yogurts, with pineapple fruit or juice and added flavourings declared as ingredients on the package, were purchased from the local market (in Rome) and analysed. Analytical methods based on the stir bar sorptive extraction (SBSE) technique for the isolation of the target analyte, and on GC-MS analysis for final determination, were developed for the two food categories. In beverages, allyl hexanoate concentrations ranged from less than 0.01 to 16.71 mg l−1, whereas in yogurts they ranged from 0.02 to 89.41 mg kg−1. Average concentrations in beverages and yogurts with pineapple as the main fruit ingredient (1.91 mg l−1 for beverages, 9.61 mg kg−1 for yogurts) were in fair agreement with average use level data reported from industry surveys for the relevant food categories (4.5 and 6.0 mg kg−1, respectively). Within the group of yogurts a single product was found to contain a level of allyl hexanoate more than 10-fold higher than the average reported use level. The screening techniques developed by the European Food Safety Authority (EFSA) using use level data provided by industry gave estimates of exposure that were of the same order of magnitude as the estimates obtained for regular consumers who would be loyal to the pineapple yogurt and beverage products containing the highest observed concentration of the substance of interest. In this specific case the uncertainty in the results obtained with the use of standard screening techniques for exposure assessment based on industry reported use levels is low.