CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Multi-scale characterization of pasta during cooking using microscopy and real-time magnetic resonance imaging

Diana Bernin ; Thomas Steglich (Institutionen för kemi- och bioteknik ; SuMo Biomaterials) ; Magnus Röding (Institutionen för matematiska vetenskaper, matematisk statistik ; SuMo Biomaterials) ; A. Moldin ; D. Topgaard ; Maud Langton
Food Research International (0963-9969). Vol. 66 (2014), p. 132-139.
[Artikel, refereegranskad vetenskaplig]

Macroscopic properties of pasta, such as the texture, are formed during cooking by a complex interplay of water and heat with the structuring agents starch and gluten. The impact of the starch-to-gluten ratio on microstructure and water distribution in pasta was analyzed by a multi-scale approach combining magnetic resonance imaging (MRI) and light microscopy. The cooking process and thus the water distribution was monitored non-invasively using 1H MRI in real-time with a temporal resolution of 45s. Our MRI set-up allowed following the water ingress by imaging the reduction of the uncooked core. The water ingress rate was neither dependent on pasta composition nor on the presence of salt in the cooking media (0.7% NaCl). Starch-rich samples showed a more homogeneous water distribution in the gelatinized zone, which was mirrored in a more homogeneous microstructure. In contrast, gluten-rich samples showed both a heterogeneous water distribution and microstructure. Thus, the gluten content affected local water content in the gelatinized zone but not the water ingress. © 2014 Elsevier Ltd.

Nyckelord: Gluten , MRI , Real-time , Salt , Spaghetti , Starch



Denna post skapades 2015-01-21. Senast ändrad 2016-03-21.
CPL Pubid: 211344

 

Läs direkt!


Länk till annan sajt (kan kräva inloggning)


Institutioner (Chalmers)

Svenskt NMR-centrum vid Göteborgs universitet (GU)
Institutionen för kemi- och bioteknik (2005-2014)
SuMo Biomaterials
Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)

Ämnesområden

Industriell bioteknik
Livsmedelsvetenskap

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:


Multi-scale characterisation of pasta - Effects of raw materials on water absorption, water distribution, and microstructure