Literature DB >> 33592710

Effects of thermal treatments on durum wheat pasta flavour during production process: A modelling approach to provide added-value to pasta dried at low temperatures.

Vanessa Giannetti1, Maurizio Boccacci Mariani2, Federico Marini3, Alessandra Biancolillo4.   

Abstract

Pasta is a key element of the Mediterranean Diet and it has been declared by Unesco intangible cultural heritage of humanity. Despite seems a simple food, only made of semolina and water, pasta is produced following a multi-step process that strongly affect the final product. Drying stage is the one that has the greater influence on its organoleptic/nutritional characteristics. This study aimed to analyse the flavour of pasta to test whether the different drying treatments (High Temperature-Short time or Low Temperature-Long time) have a direct impact on its composition and consequently whether they could influence the end-product quality. The headspace solid-phase microextraction was optimized using an experimental design and 52 samples were analysed by HS-SPME/GC-MS and classified by PLS-DA. The resulting classification model (validated by repeated double cross-validation and permutation tests) allowed correctly predicting more than 80% of samples, confirming that drying may have a significant impact on pasta flavour.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Design of experiments (DoE); Drying process; Headspace solid phase microextraction (HS-SPME); High/very high temperature-short time (HT/VHT-St) and low temperature-long time (LT-Lt); Partial least squares discriminant analysis (PLS-DA); Pasta

Mesh:

Year:  2020        PMID: 33592710     DOI: 10.1016/j.talanta.2020.121955

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  2 in total

Review 1.  Pasta-Making Process: A Narrative Review on the Relation between Process Variables and Pasta Quality.

Authors:  Andrea Bresciani; Maria Ambrogina Pagani; Alessandra Marti
Journal:  Foods       Date:  2022-01-19

2.  Extraction of Intangible Cultural Heritage Visual Elements by Deep Learning and Its Application in Grassland Tourism of the Silk Road Culture.

Authors:  Xiangwei Bu; Mingyang Jiang
Journal:  Comput Intell Neurosci       Date:  2022-06-20
  2 in total

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