Yang Hae-Il, Min Sung-Gi, Lee Seong Youl, Yang Ji-Hee, Lee Mi-Ai, Park Sung-Hee, Eun Jong-Bang, Chung Young-Bae
Practical Technology Research Group, World Institute of Kimchi, Gwangju, Republic of Korea.
Department of Integrative Food, Bioscience and Biotechnology, Graduate School of Chonnam National University, Gwangju, Republic of Korea.
J Food Sci. 2023 Apr;88(4):1610-1622. doi: 10.1111/1750-3841.16514. Epub 2023 Mar 15.
The effect of salt concentration (3%, 6%, and 9%) on the mass transfer kinetics of Kimchi cabbage during osmotic dehydration was investigated, including its influence on textural and microstructural properties and salt distribution. First, kinetics was analyzed using diffusion theory to determine the impact of the factors on moisture and salt transfer. Subsequently, using the Peleg, Azuara, Henderson-Pabis, and Page models, mathematical modeling of mass transfer (water loss and salt gain) was investigated. According to the statistical analysis, the Peleg model provided the best fit for the experimental results under the operating conditions. In addition, a novel viewpoint was proposed in which the salt content of Kimchi cabbage may be indirectly forecasted by monitoring solution salinity during osmotic dehydration. Higher salt concentration resulted in decreased hardness, gumminess, and chewiness in Kimchi cabbage. Scanning electron microscopy and energy-dispersive X-ray mapping images showed an intensification of moisture and salt transport with increasing salt content, which were confirmed using modeling studies. The results could be applied in the prediction of the target salinity of Kimchi cabbage during the salting process and could facilitate the improvement of final Kimchi product quality by producing salted Kimchi cabbage with uniform salinity.
研究了盐浓度(3%、6%和9%)对泡菜在渗透脱水过程中传质动力学的影响,包括其对质地和微观结构特性以及盐分分布的影响。首先,利用扩散理论分析动力学,以确定这些因素对水分和盐分传递的影响。随后,使用佩莱格(Peleg)模型、阿祖拉(Azuara)模型、亨德森 - 帕比斯(Henderson - Pabis)模型和佩奇(Page)模型,对传质(水分损失和盐分增加)进行数学建模研究。根据统计分析,佩莱格模型在操作条件下对实验结果拟合最佳。此外,还提出了一个新观点,即通过监测渗透脱水过程中的溶液盐度,可以间接预测泡菜的盐分含量。较高的盐浓度导致泡菜的硬度、黏性和咀嚼性降低。扫描电子显微镜和能量色散X射线映射图像显示,随着盐分含量增加,水分和盐分的传输增强,这在建模研究中得到了证实。这些结果可应用于预测泡菜腌制过程中的目标盐度,并通过生产盐度均匀的腌制泡菜来促进最终泡菜产品质量的提高。