高级检索+

基于绝对水势理论的绿茶摊放过程湿热平衡与水分迁移

Heat-moisture balance and moisture migration in the green tea withering process based on absolute water potential theory

  • 摘要: 为解决当前绿茶摊放过程中水分迁移机制缺乏量化解析、传统经验模型仅能描述现象而无法实现水分及品质精准调控的问题,该研究将粮食领域经典的谷物吸附-解吸平衡方程(cereal adsorption-desorption equilibrium model,CAE)与绝对水势差方程引入绿茶摊放过程,构建耦合湿热平衡与水分迁移的热力学量化模型。通过静态重量法测定摊放吸附/解吸等温线,推引出适配绿茶的吸附/解吸参数(吸附:A1=6.89、A2=4.87、B1=7.32、B2=5.39、D=204.5;解吸:A1=7.12、A2=5.01、B1=7.65、B2=5.68、D=213.2)。摊放试验表明:绝对水势差与水分迁移速率呈极显著正相关,皮尔逊相关系数r0.9781p<0.05,并证实绝对水势差对摊放过程中水分迁移速率的预测精度高于Fick扩散方程与偏最小二乘回归模型,MRE分别为0.44%、4.08%、2.11%;时间加权平均绝对水势差与儿茶素含量呈较强负相关,模型r为−0.8429p0.0001,并证实模型预测值与儿茶素含量实测值之间的平均相对误差为0.75%,相关性可靠。该模型突破了传统模型仅能描述静态平衡点的局限,明确了通过调控绝对水势差可间接调控绿茶摊放品质的内在规律,理论上可实现儿茶素含量在线预测,替代离线检测,缩短检测滞后,为绿茶摊放的数字化调控以及智能化摊放装备的研发奠定理论基础。

     

    Abstract: In response to current issues such as the lack of quantitative analysis of water migration mechanisms during the withering of green tea and the inadequacy of traditional empirical models to precisely regulate moisture and quality, this study innovatively introduces the classic grain adsorption-desorption equilibrium equation (CAE) and the absolute water potential difference equation from the grain industry into the green tea withering process. To achieve dynamic prediction and regulation of the tea withering process, this study established a thermodynamic quantitative model that couples heat-moisture balance, water migration, and quality component transformation. Experiments were conducted using the static gravimetric method on fresh leaves of Longjing 43 from Xiaocun Town, Xianfeng County, Hubei Province, China(108°37′8″~108°46′5″E, 29°19′28″~30°2′54″N). The adsorption/desorption isotherms were measured across nine supersaturated salt solutions within a temperature range of 10 ℃ to 35 ℃, yielding data on equilibrium relative humidity and equilibrium moisture content. The parameters of the CAE equation for green tea were fitted using Origin software, with constraint premises established based on the physical characteristics of tea leaves (e.g., cell wall composition, polar groups, porosity). Two sets of parameters specific to green tea were derived for adsorption (A1=6.89, A2=4.87, B1=7.32, B2=5.39, D=204.5)and desorption(A1=7.12, A2=5.01, B1=7.65, B2=5.68, D=213.2), respectively. The model fitting accuracy was validated through the following statistical parameters: the SSE values for adsorption/desorption were 1.86 and 2.15, respectively; the R2 values for both adsorption and desorption reached 0.998; the RMSE values for adsorption/desorption were 0.203 and 0.221; while the MRE values were 3.12 and 3.78, respectively. These data demonstrate excellent fitting precision of the adsorption/desorption parameters for green tea, indicating that the model can accurately describe the correlation among equilibrium relative humidity (ERH), temperature (t), and equilibrium moisture content (EMC) of green tea. An orthogonal experiment comprising four factors and five levels was designed using Design-Expert V8.0.6.1 software, incorporating the following parameters: withering temperature ranging from 15 ℃ to 35 ℃, relative humidity during withering between 50% and 70%, withering air velocity from 0 m/s to 2.0 m/s, and withering thickness varying from 2cm to 10 cm, resulting in a total of 21 experimental groups. Throughout the withering process, real-time monitoring was conducted for environmental temperature, tea leaf temperature, relative humidity, and mass changes. The absolute water potential difference between the tea leaves and the surrounding environment was calculated, along with the water migration rate (Rw). Pearson correlation analysis, performed using Python software, indicated a highly significant positive correlation between the absolute water potential difference and Rw across all treatment groups (correlation coefficient r ≥ 0.9781, p < 0.05), thereby confirming that the absolute water potential difference acts as the primary thermodynamic driving force for water transport. The content of catechins (C) was subsequently quantified using Agilent 1100 high-performance liquid chromatography. Statistical analysis demonstrated a strong negative correlation between the time-weighted average absolute water potential difference (Eavg) and catechin content (r = -0.8429, p = 0.0001). The linear regression equation can be expressed as C = -0.312×Eavg+104.5. This indicates that catechin content levels increase as Eavg decreases; lower Eavg values correspond to a reduced driving force for water migration, resulting in less oxidation of catechin content and minimized quality deterioration. The underlying mechanism may involve the absolute water potential difference influencing the water migration rate, with water being a crucial factor regulating polyphenol oxidase (PPO) activity. A greater water potential difference leads to faster water evaporation, causing a severe imbalance in osmotic pressure inside and outside the cells. The rapid drying of the tea leaf surface damages the cellular structure, allowing PPO, which is normally confined to organelles, to interact with catechin content in the cytoplasm. This interaction facilitates the binding of enzymes and substrates. PPO catalyzes the dehydrogenation of phenolic hydroxyl groups in catechin content, converting them into polymers and ultimately resulting in reduced detection levels of catechin content. Conversely, a smaller water potential difference allows the tea to maintain appropriate moisture content, preserving the integrity of the cellular structure. In this scenario, PPO remains confined within the cells and is unable to react with substrates, leading to inhibited activity and the retention of more catechin content. The p-value of 0.0001 indicates an extremely significant correlation, ruling out interference from random factors and confirming the reliability of the conclusion. This model transcends the limitations of traditional models that merely describe static equilibrium points, unveiling the synergistic relationships among thermal-humidity balance, moisture migration, and the transformation of quality components during the withering of green tea. Moreover, it elucidates the intrinsic mechanisms by which the absolute water potential difference can indirectly regulate the quality of withered green tea.

     

/

返回文章
返回