茶渣水热提取咖啡因工艺参数优化  

Optimizing process parameters to predict hydrothermal caffeine extraction from tea residues

作　　者：段然 陈建桥 钱苏恒 罗琼 王华斌 徐锐 DUAN Ran;CHEN Jianqiao;QIAN Suheng;LUO Qiong;WANG Huabin;XU Rui(School of Energy and Environmental Sciences,Yunnan Normal University,Kunming 650500,China;Yunnan Provincial Rural Energy Engineering Key Laboratory,Kunming 650500,China;Luoping Straw Reutilization Observation and Research Station of Yunnan Province,Qujing 655000,China)

机构地区：[1]云南师范大学能源与环境科学学院,昆明650500 [2]云南省农村能源工程重点实验室,昆明650500 [3]罗平秸秆利用云南省野外科学观测研究站,曲靖655000

出　　处：《农业工程学报》2024年第19期310-318,共9页Transactions of the Chinese Society of Agricultural Engineering

基　　金：云南省重大科技专项(202403AC100029);云南省基础研究项目(202201AU070061);云南省教育厅基础研究项目(2022J0136)。

摘　　要：为实现废弃茶渣中活性物质的提取和资源化利用,该研究利用水热技术高效提取茶渣中的咖啡因,并结合响应面法(response surface methodology,RSM)和人工神经网络(artificial neural network,ANN)对提取过程进行建模与预测,获得最优的浸提条件。结果表明,水热法能够实现咖啡因等高值活性成分的高效浸出,通过RSM对提取过程中的关键参数(水热温度、时间、液固比和pH值)进行了系统优化,发现水热温度对咖啡因提取率的影响最为显著。此外,还建立了ANN模型以进一步验证和对比优化效果,试验表明,ANN模型预测的最佳条件为水热温度220℃,水热时间3.5 h,液固比50 mL/g,pH值为9.0,ANN的预测结果(66.19 mg/g)与实际试验(65.81±0.47 mg/g)结果较为接近,具有更高的预测精度(R^(2)=0.999)。该研究利用水热技术从茶渣废弃物中回收咖啡因,为废弃生物质资源的高值化循环利用提供了有益的参考和借鉴。Tea is one of the most important parts of agricultural production in China.A large amount of waste tea residues can be produced every year with the continuous growth of the tea industry.Waste tea residue shares significant economic and medicinal value,due to its bioactive substances,especially caffeine.However,most waste tea residues cannot be fully utilized in a resourceful way,resulting in the waste of resources and pressure on the environment.In this study,an efficient caffeine extraction was proposed using hydrothermal extraction.A systematic investigation was implemented to explore the effects of different factors on extraction efficiency.Response surface ology(RSM)and artificial neural network(ANN)were also combined to optimize and predict the extraction conditions.Firstly,the efficient extraction of caffeine from tea residue was achieved by hydrothermal extraction.The special properties of water were exploited under high temperature and pressure.As such,the lignocellulose structure in tea residues was effectively destroyed to obtain the dissolution of active substances,such as caffeine.The high efficiency and environmental advantages of hydrothermal approaches were emphasized to treat the wet biomass under mild conditions,compared with the conventional one.The better performance was achieved in the high efficiency,low energy consumption,and reduced use of hazardous chemical solvents.Secondly,the key parameters of extraction(hydrothermal temperature,time,liquid-solid ratio,and pH)were systematically analyzed using RSM.The influencing level of each factor on the caffeine extraction was determined to derive the optimal extraction conditions.The experimental results showed that the hydrothermal temperature shared the most significant effect on the caffeine extraction.The extraction efficiency was significantly improved to appropriately increase the hydrothermal temperature.An ANN model was also established to further validate and optimize the extraction conditions.A large amount of experimental data was traine

关 键 词：水热浸提 人工神经网络 咖啡因 响应面法 茶渣 反应条件 

分 类 号：X712[环境科学与工程—环境工程]