Measuring the food microstructure by two-point cluster function
Abstract
The clustering of pores of three types of bread was studied by measuring the two point cluster function, C2(r). The ability of this function in describing the connectivity among the structure elements of bread was proved by comparing the C2(r) of a “reference” and a “reconstructed” bread image having the same porosity fraction and lineal path distribution function, L(r). The two point cluster function of the void phase of two commercial, “Pan Briosce” and “Pancarre”, and a non commercial, “White”, bread enabled to highlight significant differences of their topological properties. “White” bread was characterized from more homogeneous pores with a lower degree of connectivity while the “Pancarre” samples exhibited voids highly connected producing pores bigger in size and with a shape extremely complex. Furthermore, for the first time it was proved as the microstructure information of the two point cluster function allows discriminating the 90% of the total variace of bread samples.
Autore Pugliese
Tutti gli autori
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Derossi A. , Severini C. , De Pilli T.
Titolo volume/Rivista
JOURNAL OF FOOD ENGINEERING
Anno di pubblicazione
2016
ISSN
0260-8774
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
1
Ultimo Aggiornamento Citazioni
Non Disponibile
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
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