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Dive into the research topics where P. Frisullo is active.

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Featured researches published by P. Frisullo.


Meat Science | 2010

Assessment of intramuscular fat level and distribution in beef muscles using X-ray microcomputed tomography.

P. Frisullo; R. Marino; J. Laverse; M. Albenzio; M.A. Del Nobile

In the present research, the X-ray microtomography (muCT) technique was used to quantify intramuscular fat content and to study fat distribution in different breeds and commercial meat joints. Two different breeds, Podolian vs. Charolaise, chosen to exhibit variability in terms of visible structure of fat, were used. High Pearson correlation coefficients (r=0.92-0.99, P<0.001) were found between fat content, expressed as percentage object volume (POV) determined by muCT and fat content analysed by an official method. Useful information was provided from quantitative three-dimensional parameters describing the fat structure, such as the structure model index (SMI), the object structure/ volume ratio (OSVR) and the structure separation (SS). Charolaise breed showed higher POV and SS (P<0.01) values than Podolian. X-ray microtomography allows a rapid estimation of intramuscular fat of meat and provides a more accurate description of the fat microstructure and meat quality.


Journal of Food Science | 2010

A novel approach to study biscuits and breadsticks using X-ray computed tomography.

P. Frisullo; Amalia Conte; M.A. Del Nobile

In this study X-ray microtomography (muCT) was used for analysis of the microstructure of 6 different types of Italian biscuits and 3 types of Italian breadsticks. Appropriate quantitative 3-D parameters describing the microstructure were calculated, such as the structure thickness (ST), the object structure volume ratio (OSVR), the degree of anisotropy (DA), and the percentage object volume (POV). Sensory analysis was also performed to discriminate samples on the basis of texture characteristics. A correlation between microstructural data (OSVR for biscuits and OSVR, POV, and DA for breadsticks) and sample crunchiness was also found. Results obtained from the current study showed that analysis at a microscopic level could be useful to the food industry, as the accurate calculation of number, dimension, and distribution of pores in the products could be used to improve the sensorial properties of food. Further study by muCT could be carried out to correlate microstructure to specific ingredients and process conditions to allow obtaining more tailored food.


Journal of Dairy Science | 2011

X-ray microtomography to study the microstructure of cream cheese-type products

J. Laverse; Marcella Mastromatteo; P. Frisullo; M.A. Del Nobile

In this work, the imaging x-ray microtomography technique, new to the field of food science, was used for the analysis of fat microstructure and quantification of the fat present in cream cheese-type products. Five different types of commercially produced cheeses, chosen for their variability of texture, were used for this experiment: sample A, sample B, sample C, sample D, and sample E. Appropriate quantitative 3-dimensional parameters describing the fat structure were calculated (e.g., the geometric parameter percentage of fat volume was calculated for each image as a representation of the percentage of total fat content within the sample). The dynamic-mechanical properties of these samples were also studied using a controlled-strain rotational rheometer. Storage modulus and loss modulus were determined in a frequency range of 0.01 to 10 Hz. The strain value was obtained by preliminary strain sweep oscillatory trials to determine the linear viscoelastic region of the cream cheese-type products. Statistical correlation analysis was performed on the results to help identify any microstructural-mechanical structure relationships. The results from this study show that microtomography is a suitable technique for the microstructural analysis of fat in cream cheese-type products, as it does not only provide an accurate percentage of the volume of the fat present but can also determine its spatial distribution.


Journal of Food Science | 2010

Microstructural Characterization of Multiphase Chocolate Using X‐Ray Microtomography

P. Frisullo; Fabio Licciardello; Giuseppe Muratore; Matteo Alessandro Del Nobile

UNLABELLED In this study, X-ray microtomography (μCT) was used for the image analysis of the microstructure of 12 types of Italian aerated chocolate chosen to exhibit variability in terms of cocoa mass content. Appropriate quantitative 3-dimensional parameters describing the microstructure were calculated, for example, the structure thickness (ST), object structure volume ratio (OSVR), and the percentage object volume (POV). Chemical analysis was also performed to correlate the microstructural data to the chemical composition of the samples. Correlation between the μCT parameters acquired for the pore microstructure evaluation and the chemical analysis revealed that the sugar crystals content does not influence the pore structure and content. On the other hand, it revealed that there is a strong correlation between the POV and the sugar content obtained by chemical analysis. The results from this study show that μCT is a suitable technique for the microstructural analysis of confectionary products such as chocolates and not only does it provide an accurate analysis of the pores and microstructure but the data obtained could also be used to aid in the assessment of its composition and consistency with label specifications. PRACTICAL APPLICATION X-ray microtomography (μCT) is a noninvasive and nondestructive 3-D imaging technique that has several advantages over other methods, including the ability to image low-moisture materials. Given the enormous success of μCT in medical applications, material science, chemical engineering, geology, and biology, it is not surprising that in recent years much attention has been focused on extending this imaging technique to food science as a useful technique to aid in the study of food microstructure. X-ray microtomography provides in-depth information on the microstructure of the food product being tested; therefore, a better understanding of the physical structure of the product and from an engineering perspective, knowledge about the microstructure of foods can be used to identify the important processing parameters that affect the quality of a product.


Meat Science | 2013

Feasibility of X-ray microcomputed tomography for microstructure analysis and its relationship with hardness in non-acid lean fermented sausages.

Eva Santos-Garcés; J. Laverse; Pere Gou; Elena Fulladosa; P. Frisullo; M.A. Del Nobile

X-ray microcomputed tomography (μCT) was used for microstructure analysis on four different types of non-acid pork lean fermented sausages, three of them supplemented with 5% pork back fat, sunflower oil or diacylglycerols (DAGs). The data from the μCT analysis were related to instrumental texture (hardness). Although μCT analysis identified fat particles and air holes, the technique was not accurate enough to distinguish between pork lean and fat when these constituents were emulsified. Only μCT geometrical parameters related to the meat matrix (emulsion of pork lean and fat) provided useful information on the microstructure of the product. Parameters such as percent object volume (POV), object surface/volume ratio (OSVR), degree of anisotropy (DA), structure thickness (ST) and number of objects (NO) were correlated with instrumental hardness.


Archive | 2012

X-Ray Microtomography for Food Quality Analysis

J. Laverse; P. Frisullo; Amalia Conte; Matteo Alessandro Del Nobile

In an effort to understand the physical and rheological behavior as well as the mechanical and sensory attributes of foods, processing focus and emphasis have shifted to the microstructure level. Microstructure elements such as air bubbles or cells, starch granules, protein assemblies and food biopolymer matrices contribute greatly to the identity and quality of foods (Aguilera, 2005). The microstructure of food has an influence over the key attributes of a product as evaluated by consumers. Many of these properties are synergetic, therefore having multiple interactions, and are poorly understood as a result. Advances in the last decade in microscopy techniques, along with an improvement in computing capabilities, has made it possible to understand a food’s structure; its relation to physical properties (so called structure-property relationships) and how to engineer and control these properties (Aguilera, 2005). Structure-property relationships can strongly affect the physiochemical, functional, technological and even nutritional properties of foods. For example, with regards to solid food foams like bread, extruded cereals, biscuits and cakes, the consumer appreciation of these products is strongly linked to the texture. For texture, sensory properties of solid food foams are related to both mechanical properties and cellular structure. In this context, determining the relationships between a given mechanical property and the cellular structure is thus of prime importance. It has also been found that the structural organization of the components of cheese, especially the protein network, affect the texture of cheese: in particular the stress at fracture, the modulus and work at fracture could be predicted very well from the size of the protein aggregates (Wium et al., 2003). Cheeses having a regular and close protein matrix with small and uniform (in size and shape) fat globules show a more elastic behavior than cheeses with open structure and numerous and irregular cavities (Buffa et al., 2001). The mechanical properties of cocoa butter are strongly dependent from its morphology at microscopic level and, in particular, from the polymorphic transformation of the fat crystals and the coexistence of different polymorphic forms (Brunello et al., 2003). Thorvaldsson et al. (1999) studied the influence of heating rate on rheology and structure of heat-treated pasta dough. They found that the fastheated samples had pores smaller than the slowly heated one and that the pore dimension affects the energy required to cause a fracture. In particular, the energy required to determine a fracture in the samples having the smallest pores was more than for the


Journal of Food Engineering | 2009

X-ray computed tomography to study processed meat microstructure

P. Frisullo; J. Laverse; R. Marino; M.A. Del Nobile


Food Research International | 2013

Rheological, microstructural and sensorial properties of durum wheat bread as affected by dough water content

Marcella Mastromatteo; Mariangela Guida; Alessandra Danza; J. Laverse; P. Frisullo; Vincenzo Lampignano; Matteo Alessandro Del Nobile


Journal of Food Engineering | 2012

X-ray microtomography to study the microstructure of mayonnaise

J. Laverse; Marcella Mastromatteo; P. Frisullo; M.A. Del Nobile


Journal of Food Engineering | 2012

Effect of sugar, citric acid and egg white type on the microstructural and mechanical properties of meringues

Fabio Licciardello; P. Frisullo; J. Laverse; Giuseppe Muratore; Matteo Alessandro Del Nobile

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