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量化带有水果的酸奶的变质和保质期。

Quantifying the spoilage and shelf-life of yoghurt with fruits.

机构信息

Agricultural University of Athens, Department of Food Science and Technology, Laboratory of Food Quality Control and Hygiene, Iera Odos 75, GR-11855 Athens, Greece.

出版信息

Food Microbiol. 2011 May;28(3):611-6. doi: 10.1016/j.fm.2010.11.009. Epub 2010 Nov 19.

Abstract

The aim of the present study was to develop a predictive model to quantify the spoilage of yoghurt with fruits. Product samples were stored at various temperatures (5-20 °C). Samples were subjected to microbiological (total viable counts, lactic acid bacteria-LAB, yeasts and moulds) and physico-chemical analysis (pH, titratable acidity and sugars). LAB was the dominant micro-flora. Yeasts population increased at all temperatures but a delay was observed during the first days of storage. Titratable acidity and pH remained almost constant at low temperatures (5 and 10 °C). However, at higher temperatures (>10 °C), an increase in titratable acidity and reduction in pH was observed. Sugar concentration (fructose, lactose and glucose) decreased during storage. A mathematical model was developed for shelf-life determination of the product. It was successfully validated at a temperature (17 °C) not used during model development. The results showed that shelf-life of this product could not be established based only on microbiological data and use of other parameters such as sensory or/and physico-chemical analysis is required. Shelf-life determination by spoilage tests is time-consuming and the need for new rapid techniques has been raised. The developed model could help dairy industries to establish shelf-life predictions on yoghurt with fruits stored under constant temperature conditions.

摘要

本研究的目的是开发一种预测模型来量化带有水果的酸奶的变质情况。将产品样品储存在不同的温度(5-20°C)下。对样品进行微生物(总活菌数、乳酸菌-LAB、酵母和霉菌)和理化分析(pH 值、可滴定酸度和糖)。LAB 是主要的微生物菌群。在所有温度下,酵母种群都会增加,但在储存的最初几天会出现延迟。在低温(5 和 10°C)下,可滴定酸度和 pH 值几乎保持不变。然而,在较高的温度(>10°C)下,可滴定酸度增加,pH 值降低。储存过程中糖浓度(果糖、乳糖和葡萄糖)下降。为了确定产品的保质期,建立了一个数学模型。该模型在未用于模型开发的温度(17°C)下成功进行了验证。结果表明,仅基于微生物数据无法确定该产品的保质期,需要使用感官或/和理化分析等其他参数。通过腐败测试确定保质期既耗时又费力,因此需要新的快速技术。所开发的模型可以帮助乳制品行业在恒温条件下储存带有水果的酸奶时进行保质期预测。

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