Qualidade e Genuinidade de cremes de pasteleiro: Caracterização da fracção volátil e das Aminas Biogénicas

• Autor(a) principal: Ramos, Bárbara Filipa Santos
• Data de Publicação: 2005
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10216/10803
• topic: Água e Alimentos; Food and Water; Porto

The experimental work of this thesis is divided in two parts. The first, evaluates the influence of temperature and storage time in the composition of biogenic amines in egg yolk, the second studied the influence of egg yolk in the volatile fraction and sensory characteristics of bakery creams. The RP-HPLC/UV method, using dabsil derivatization, optimized for the determination of biogenic amines in egg yolk, was appropriate quantification putrescine, cadaverine, histamine, etilamine, propilamine, etanolamine, tiramine, triptamine, espermine, espermidine, feniletilamine. The effect of temperature and time of storage in the levels of biogenic amines during egg shelf-life was evaluated. Only five of the eleven biogenic amines under study were detected: putrescine, cadaverine, propilamine, etilamine e etanolamine. Storage time during shelf-life presented a significant effect on the levels of the five amines (p<0.01). On the contrary, storage temperature did not presented a significant effect on the levels of the mentioned amines, p>0.01. The significant reduction of biogenic amines during the shelf-life justified the application of a multiple linear regression using stepwise method to estimate the storage time. A headspace solid phase microextraction method coupled to GC/MS was optimized to caracterize the volatile fraction of bakery creams. Volatile profiles of egg bakery creams were compared with the volatile profiles of a bakery cream substitute and with the volatile fraction of commercially available bakery creams collected from bolas de Berlim . A total of 92 volatile compounds were identified in the present study. The groups of detected volatiles were aliphatic and alicyclic hydrocarbons (26), aldehydes (10), ketones (10), aromatic hydrocarbons (20), furans (6), alcohols (12), esters (3) and acids (5). Discriminante analysis of the volatile data was also applied to predict bakery cream origin. The function obtained was able to correctly classify all the samples according to type and origin of bakery cream. Additionally, the sensory descriptive profile of the different types of bakery creams was elaborated. Different sensory descriptive profiles were obtained for bakery creams of different origin.