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从全绿罗布斯塔咖啡豆中常规和超声辅助水提取咖啡因的数值研究:通过改变提取用水提高提取效率

Numerical Investigation of Conventional and Ultrasound-Assisted Aqueous Extraction of Caffeine from Whole Green Robusta Coffee Beans: Extraction Enhancement via Changing of Extraction Water.

作者信息

Bawornruttanaboonya Kuson, Chindapan Nathamol, Devahastin Sakamon

机构信息

Advanced Food Processing Research Laboratory, Department of Food Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, 126 Pracha Uthit Road, Thung Khru, Bangkok 10140, Thailand.

Department of Food Technology, Faculty of Science, Siam University, 38 Phetkasem Road, Phasicharoen, Bangkok 10160, Thailand.

出版信息

Foods. 2025 May 30;14(11):1956. doi: 10.3390/foods14111956.

Abstract

To enhance the low-efficiency but potentially health and environmentally friendly aqueous decaffeination process, ultrasound-assisted aqueous extraction (UAAE) has recently been proposed. A novel concept of intermittent extraction water change to further enhance UAAE has also been mentioned, but not yet studied in detail. For this reason, a mathematical model that can be used to predict the concentration evolutions of caffeine during UAAE and conventional aqueous extraction (CAE) of whole green robusta coffee beans is herein proposed. The model consists of terms representing transient intra-bean caffeine and water diffusion as well as molar fluxes of caffeine and water on the bean surface. After validation, the model was used to investigate the effects of extraction temperature, bean-to-water mass ratio and frequency of extraction water change on caffeine concentration evolutions. Simulation results show that UAAE exhibits around 10% higher caffeine removal rates than CAE at all investigated conditions. Extraction temperature of 70 °C, bean-to-water ratio of 1:3, and extraction water change at every 1 h interval are noted as the most appropriate conditions for UAAE. The required extraction durations of UAAE under these conditions are 13 h and 24 h to meet the US and European Union standards, respectively.

摘要

为了提高效率较低但可能对健康和环境友好的水相脱咖啡因工艺,最近有人提出了超声辅助水相萃取(UAAE)。还提到了一种间歇性萃取换水以进一步增强UAAE的新概念,但尚未进行详细研究。因此,本文提出了一种数学模型,可用于预测在对全绿罗布斯塔咖啡豆进行UAAE和传统水相萃取(CAE)过程中咖啡因的浓度变化。该模型由表示咖啡豆内部咖啡因和水的瞬态扩散以及咖啡豆表面咖啡因和水的摩尔通量的项组成。经过验证后,该模型用于研究萃取温度、豆水质量比和萃取换水频率对咖啡因浓度变化的影响。模拟结果表明,在所有研究条件下,UAAE的咖啡因去除率比CAE高约10%。70℃的萃取温度、1:3的豆水比以及每1小时间隔进行萃取换水被认为是UAAE最合适的条件。在这些条件下,UAAE分别需要13小时和24小时的萃取时间才能达到美国和欧盟标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61b6/12155289/c49df0842341/foods-14-01956-g001.jpg

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