Establishment of a Generalizable Industrial Crop Model for Microwave Extraction of Unsaturated Fatty Acids.

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
{"title":"Establishment of a Generalizable Industrial Crop Model for Microwave Extraction of Unsaturated Fatty Acids.","authors":"Junyi Chen, Didi Lu, Shiqiang Chen, Song Liu, Yaqiu Zhang, Conghong Zhan","doi":"10.1155/2024/5979156","DOIUrl":null,"url":null,"abstract":"<p><p>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 (<i>X</i> <sub>1</sub>), extraction time (<i>X</i> <sub>2</sub>), proportional volume of acetone (<i>X</i> <sub>3</sub>), and liquid-to-solid ratio (<i>X</i> <sub>4</sub>), were screened for their significant effects by using Prob > |<i>T</i>| 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 (<i>X</i> <sub>1</sub>, <i>X</i> <sub>2</sub>, <i>X</i> <sub>3</sub>, <i>X</i> <sub>4</sub>) and the optimal UFA content of potato were 80.68°C, 10.74 min, 0.80, 3.25 mL × g<sup>-1</sup>, 1.08%; wheat: 80.81°C, 10.54 min, 0.80, 20.91 mL × g<sup>-1</sup>, 2.26%; corn: 81.18°C, 9.93 min, 0.80, 50.94 mL × g<sup>-1</sup>, 6.89%; soybean: 82.07°C, 9.07 min, 0.80, 93.87 mL × g<sup>-1</sup>, 15.81%; and peanut: 83.12°C, 8.11 min, 0.80, 168.70 mL × g<sup>-1</sup>, 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.</p>","PeriodicalId":13888,"journal":{"name":"International Journal of Analytical Chemistry","volume":"2024 ","pages":"5979156"},"PeriodicalIF":1.5000,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11449561/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1155/2024/5979156","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
建立微波萃取不饱和脂肪酸的通用工业作物模型。
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。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Formation and Physicochemical Properties of Freeze-Dried Amyloid-Like Fibrils From Pinto Bean Protein: Amyloid-Like Fibrils From Pinto Bean Protein. Prediction of Lycii Cortex Quality Marker Based on Network Pharmacology and Chemometrics Methods. Determination of Alzheimer's Drugs in a Human Urine Sample by Different Chemometric Methods: Chemometric Determination of Alzheimer's Drugs. Development of the Pipette-Tip Micro-Solid-Phase Extraction for Extraction of Rutin From Moringa oleifera Lam. Using Activated Hollow Carbon Nanospheres as Sorbents. Establishment of a Generalizable Industrial Crop Model for Microwave Extraction of Unsaturated Fatty Acids.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1