建立微波萃取不饱和脂肪酸的通用工业作物模型。

IF 1.5 4区 化学 Q3 CHEMISTRY, ANALYTICAL
International Journal of Analytical Chemistry Pub Date : 2024-09-26 eCollection Date: 2024-01-01 DOI:10.1155/2024/5979156
Junyi Chen, Didi Lu, Shiqiang Chen, Song Liu, Yaqiu Zhang, Conghong Zhan
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引用次数: 0

摘要

为探讨不饱和脂肪酸(UFA)含量与微波萃取参数之间的关系,进行了多材料、多参数试验,选择了五种不同UFA含量的材料(马铃薯、小麦、玉米、大豆和花生)进行试验。根据普拉克特-伯曼实验的 Prob > |T| 值,筛选出萃取温度(X 1)、萃取时间(X 2)、丙酮比例体积(X 3)和液固比(X 4)四个因素的显著影响。使用 Design-Expert 8.05 软件分别设计了四个因素和五个水平的微波萃取正交实验,并将它们集中起来。然后进行微波加速甲酯化,并通过气相色谱法(火焰离子化检测器)测定 UFA 含量。马铃薯的最佳提取条件(X 1、X 2、X 3、X 4)和最佳 UFA 含量分别为 80.68℃、10.74 分钟、0.80、3.25 mL × g-1、1.08%;小麦:80.81℃、10.54 分钟、0.80、20.91 mL × g-1、2.26%;玉米:81.18℃,9.93 min,0.80,50.94 mL × g-1,6.89%;大豆:82.07℃,9.07 min,0.80,93.87 mL × g-1,15.81%;花生:83.12℃,8.11 min,0.80,168.70 mL × g-1,33.07%。然后用 Origin 8.0 软件合成了 5 种材料的优化结果,4 个提取因子的三次方模型拟合度最高,判定系数分别为 0.9984、0.9991、0.8953 和 0.9989,残差平方和分别为 0.2888、0.1587、0.8265 和 0.1864,相关系数理想。该模型的稳定性和准确性通过水稻提取 UFA 的正交实验得到了验证,正交实验的预测值与实际值的相关系数为 0.9998。本研究从多材料、多参数的角度系统整理了微波提取不同作物中 UFA 含量的最优参数,可为微波提取技术提供大量详实的基础数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of a Generalizable Industrial Crop Model for Microwave Extraction of Unsaturated Fatty Acids.

To explore the relationship between unsaturated fatty acid (UFA) content and parameters for microwave extraction, multimaterial and multiparameter testing was conducted in which five kinds of materials with different UFA contents (potato, wheat, corn, soybean, and peanut) were selected for the experiment. Four factors, namely, extraction temperature (X 1), extraction time (X 2), proportional volume of acetone (X 3), and liquid-to-solid ratio (X 4), were screened for their significant effects by using Prob > |T| values from the Plackett-Burman experiment. A microwave extraction orthogonal experiment with four factors and five levels was designed separately using Design-Expert 8.05 software and them concentrated. Microwave-accelerated methyl esterification was then performed, and the UFA content was determined via gas chromatography (flame ionization detector). The optimal extraction conditions (X 1, X 2, X 3, X 4) and the optimal UFA content of potato were 80.68°C, 10.74 min, 0.80, 3.25 mL × g-1, 1.08%; wheat: 80.81°C, 10.54 min, 0.80, 20.91 mL × g-1, 2.26%; corn: 81.18°C, 9.93 min, 0.80, 50.94 mL × g-1, 6.89%; soybean: 82.07°C, 9.07 min, 0.80, 93.87 mL × g-1, 15.81%; and peanut: 83.12°C, 8.11 min, 0.80, 168.70 mL × g-1, 33.07%. Then, the optimization results for the five kinds of materials were synthesized by Origin 8.0 software, the fitting degree of the cubic model with the four extraction factors was the highest, the determination coefficients were 0.9984, 0.9991, 0.8953, and 0.9989, the residual sums of squares were 0.2888, 0.1587, 0.8265, and 0.1864, and the correlation coefficients are ideal. The stability and accuracy of the model were verified by the orthogonal experiment of UFA extraction from rice, and the correlation coefficient between the predicted value and the actual value of the orthogonal experiment was 0.9998. This study systematically collates the optimal parameters for microwave extraction of UFA content in different crops from the perspective of multimaterial and multiparameter, which can provide a large amount of detailed basic data for microwave extraction technology.

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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
117
期刊介绍: International Journal of Analytical Chemistry publishes original research articles that report new experimental results and methods, especially in relation to important analytes, difficult matrices, and topical samples. Investigations may be fundamental, or else related to specific applications; examples being biological, environmental and food testing, and analysis in chemical synthesis and materials processing. As well as original research, the International Journal of Analytical Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.
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