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采用响应面法优化秋橄榄果实的渗透脱水工艺

Optimization of Osmotic Dehydration of Autumn Olive Berries Using Response Surface Methodology.

作者信息

Ghellam Mohamed, Zannou Oscar, Pashazadeh Hojjat, Galanakis Charis M, Aldawoud Turki M S, Ibrahim Salam A, Koca Ilkay

机构信息

Food Engineering Department, Faculty of Engineering, Ondokuz Mayis University, Samsun 55000, Turkey.

Research & Innovation Department, Galanakis Laboratories, 73100 Chania, Greece.

出版信息

Foods. 2021 May 13;10(5):1075. doi: 10.3390/foods10051075.

Abstract

Autumn olive fruits are a rich source of nutrients and functional compounds, making them functional foods against many diseases and cancers. To increase the consumption, its processing, and its transformation into new products would help spread them to the consumer's table. In this study, after giving an overview of the physicochemical characteristics and the antioxidant activity, the objective was to optimize the osmotic dehydration (OD) of the berries. Response surface methodology was used to investigate the effect of dehydration factors: syrup concentration (30-70%), temperature (20-70 °C), and fruit-to-syrup ratio (1:10-2:10) on the water loss (WL), sugar gain (SG), weight reduction (WR), density (ρ), water activity (a), and total color change (ΔE) of fruits after 10 h of OD. Results obtained by employing Box-Behnken design (three variables, three levels), and significant terms of regression equations indicated that the syrup concentration and temperature variation are the most affecting factors on the previously mentioned independent variables (WL SG, WR, ρ, a, and ΔE). Fruits to syrup ratio appeared to have a significant effect only on WL. Under the optimum conditions found (70%, 70 °C, 1.8:10), the predicted values were 59.21%. 19.21%, 32.34%, 1.22 g/cm, 0.850, and 3.65 for WL, SG, WR, ρ, a, and ΔE, respectively.

摘要

秋橄榄果实富含营养物质和功能性化合物,使其成为对抗多种疾病和癌症的功能性食品。为了增加其消费量,对其进行加工并转化为新产品将有助于将它们推广到消费者的餐桌上。在本研究中,在概述了其理化特性和抗氧化活性之后,目标是优化浆果的渗透脱水(OD)。采用响应面法研究脱水因素:糖浆浓度(30 - 70%)、温度(20 - 70°C)和果浆比(1:10 - 2:10)对OD 10小时后果实的失水量(WL)、糖分增加量(SG)、重量减轻量(WR)、密度(ρ)、水分活度(a)和总颜色变化(ΔE)的影响。采用Box - Behnken设计(三个变量,三个水平)获得的结果以及显著项表明,糖浆浓度和温度变化是对上述自变量(WL、SG、WR、ρ、a和ΔE)影响最大的因素。果浆比对WL似乎仅有显著影响。在找到的最佳条件(70%、70°C、1.8:10)下,WL、SG、WR、ρ、a和ΔE的预测值分别为59.21%、19.21%、32.34%、1.22 g/cm、0.850和3.65。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8385/8152059/d53d6abe452d/foods-10-01075-g001a.jpg

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