• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

相似文献

1
Optimization of accelerated solvent extraction of zeaxanthin from orange paprika using response surface methodology and an artificial neural network coupled with a genetic algorithm.使用响应面法以及结合遗传算法的人工神经网络对从甜椒中加速溶剂萃取玉米黄质进行优化。
Food Sci Biotechnol. 2024 Feb 2;33(11):2521-2531. doi: 10.1007/s10068-023-01514-8. eCollection 2024 Aug.
2
Optimization of accelerated solvent extraction of ellagitannins in black raspberry seeds using artificial neural network coupled with genetic algorithm.采用人工神经网络结合遗传算法优化黑莓种子中鞣花单宁的加速溶剂萃取。
Food Chem. 2022 Dec 1;396:133712. doi: 10.1016/j.foodchem.2022.133712. Epub 2022 Jul 14.
3
Optimization of Ultrasonic-Assisted Extraction Conditions for Bioactive Components and Antioxidant Activity of (Schw.) Wolf by an RSM-ANN-GA Hybrid Approach.采用RSM-ANN-GA混合方法优化超声波辅助提取（Schw.）Wolf生物活性成分及抗氧化活性的条件
Foods. 2023 Feb 1;12(3):619. doi: 10.3390/foods12030619.
4
Modeling and Optimization of Ellagic Acid from Chebulae Fructus Using Response Surface Methodology Coupled with Artificial Neural Network.响应面法结合人工神经网络对诃子中鞣花酸的建模与优化。
Molecules. 2024 Aug 21;29(16):3953. doi: 10.3390/molecules29163953.
5
Deep eutectic solvent-based green extraction of Strychnos potatorum seed phenolics: Process optimization via response surface methodology and artificial neural network.基于深共熔溶剂的马钱子种子酚类化合物绿色提取：通过响应面法和人工神经网络进行工艺优化
Talanta. 2025 May 1;286:127443. doi: 10.1016/j.talanta.2024.127443. Epub 2024 Dec 20.
6
Application of soft-computing techniques for statistical modeling and optimization of seed oil extraction using polar and non-polar solvents.软计算技术在使用极性和非极性溶剂进行种子油提取的统计建模与优化中的应用。
Heliyon. 2021 Mar 8;7(3):e06342. doi: 10.1016/j.heliyon.2021.e06342. eCollection 2021 Mar.
7
Optimization by response surface methodology of lutein recovery from paprika leaves using accelerated solvent extraction.利用加速溶剂萃取从红辣椒粉中提取叶黄素的响应面法优化。
Food Chem. 2016 Aug 15;205:140-5. doi: 10.1016/j.foodchem.2016.03.013. Epub 2016 Mar 4.
8
Optimization of ultrasonic-assisted extraction of total flavonoids from by a hybrid response surface methodology-artificial neural network-genetic algorithm (RSM-ANN-GA) approach, coupled with an assessment of antioxidant activities.采用混合响应面法-人工神经网络-遗传算法（RSM-ANN-GA）优化超声波辅助从[具体来源未给出]中提取总黄酮，并评估其抗氧化活性。
RSC Adv. 2024 Dec 10;14(52):39069-39080. doi: 10.1039/d4ra05077k. eCollection 2024 Dec 3.
9
Chironji fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology.使用纤维素酶提取奇伦吉果汁：通过人工神经网络和响应面法对工艺进行建模与优化
J Food Sci Technol. 2021 Mar;58(3):1051-1060. doi: 10.1007/s13197-020-04619-8. Epub 2020 Jul 13.
10
A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract.基于 RSM-ANN-GA 的紫菜（Porphyra dentata）提取物中生物活性成分提取条件优化的混合方法。
Food Chem. 2022 Jan 1;366:130689. doi: 10.1016/j.foodchem.2021.130689. Epub 2021 Jul 24.

引用本文的文献

1
Neoxanthin: A Promising Medicinal and Nutritional Carotenoid.新黄质：一种有前景的药用和营养类胡萝卜素。
Mar Drugs. 2025 Aug 1;23(8):317. doi: 10.3390/md23080317.

本文引用的文献

1
Optimization of accelerated solvent extraction of ellagitannins in black raspberry seeds using artificial neural network coupled with genetic algorithm.采用人工神经网络结合遗传算法优化黑莓种子中鞣花单宁的加速溶剂萃取。
Food Chem. 2022 Dec 1;396:133712. doi: 10.1016/j.foodchem.2022.133712. Epub 2022 Jul 14.
2
Lutein and Zeaxanthin and Their Roles in Age-Related Macular Degeneration-Neurodegenerative Disease.叶黄素和玉米黄质及其在年龄相关性黄斑变性-神经退行性疾病中的作用。
Nutrients. 2022 Feb 16;14(4):827. doi: 10.3390/nu14040827.
3
Optimization of ultrasonic-assisted extraction of astaxanthin from green tiger (Penaeus semisulcatus) shrimp shell.超声辅助提取绿虎虾（凡纳滨对虾）虾壳中叶黄素的优化。
Ultrason Sonochem. 2021 Aug;76:105666. doi: 10.1016/j.ultsonch.2021.105666. Epub 2021 Jul 8.
4
Biological Activities of Paprika Carotenoids, Capsanthin and Capsorubin.辣椒红素和辣椒玉红素的生物学活性。
Adv Exp Med Biol. 2021;1261:285-293. doi: 10.1007/978-981-15-7360-6_26.
5
Zeaxanthin, a Molecule for Photoprotection in Many Different Environments.叶黄素，一种在多种不同环境中起光保护作用的分子。
Molecules. 2020 Dec 10;25(24):5825. doi: 10.3390/molecules25245825.
6
Optimization of culture conditions for differentiation of melon based on artificial neural network and genetic algorithm.基于人工神经网络和遗传算法优化甜瓜分化的培养条件。
Sci Rep. 2020 Feb 26;10(1):3524. doi: 10.1038/s41598-020-60278-x.
7
Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic.响应面法和人工神经网络法优化超声辅助提取大蒜中多酚
Food Chem Toxicol. 2020 Jan;135:110976. doi: 10.1016/j.fct.2019.110976. Epub 2019 Nov 16.
8
Zeaxanthin: Metabolism, Properties, and Antioxidant Protection of Eyes, Heart, Liver, and Skin.玉米黄质：眼睛、心脏、肝脏和皮肤的代谢、特性及抗氧化保护
Antioxidants (Basel). 2019 Sep 11;8(9):390. doi: 10.3390/antiox8090390.
9
Optimization of Ultrasonic-Assisted Extraction and Purification of Zeaxanthin and Lutein in Corn Gluten Meal.玉米蛋白粉中叶黄醇和玉米黄质的超声辅助提取与纯化优化。
Molecules. 2019 Aug 18;24(16):2994. doi: 10.3390/molecules24162994.
10
Response surface optimization for recovery of polyphenols and carotenoids from leaves of using an ethanol-based solvent system.使用乙醇基溶剂系统从[植物名称]叶片中回收多酚和类胡萝卜素的响应面优化。 （你原文中“leaves of ”后面缺少具体植物名称）
Food Sci Nutr. 2019 Jan 24;7(2):528-536. doi: 10.1002/fsn3.832. eCollection 2019 Feb.

使用响应面法以及结合遗传算法的人工神经网络对从甜椒中加速溶剂萃取玉米黄质进行优化。

Optimization of accelerated solvent extraction of zeaxanthin from orange paprika using response surface methodology and an artificial neural network coupled with a genetic algorithm.

作者信息

Kim Jaecheol, Lee Ga Eun, Kim Suna

机构信息

School of Bio-Health Convergence, Health & Wellness College, Sungshin Women's University, Seoul, 01133 Republic of Korea.

Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 Republic of Korea.

出版信息

Food Sci Biotechnol. 2024 Feb 2;33(11):2521-2531. doi: 10.1007/s10068-023-01514-8. eCollection 2024 Aug.

DOI:10.1007/s10068-023-01514-8
PMID:39144187
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11319554/
Abstract

UNLABELLED

This study aimed to optimize the accelerated solvent extraction (ASE) condition of zeaxanthin from orange paprika using a response surface methodology (RSM) or an artificial neural network (ANN) with a genetic algorithm (GA). Input variables were ethanol concentration, extraction time, and extraction temperature, while output variable was zeaxanthin. The mean squared error and regression correlation coefficient of the developed ANN model were 0.3038 and 0.9983, respectively. Predicted optimal extraction conditions from ANN-GA for maximum zeaxanthin were 100% ethanol, 3.4 min, and 99.2 °C. The relative errors under the optimal extraction conditions were RSM for 10.46% and ANN-GA for 2.18%. We showed that the recovery of hydrophobic zeaxanthin could be performed using ethanol, an eco-friendly solvent, via ASE, and the extraction efficiency could be improved by ANN-GA modeling than RSM. Therefore, combining ASE and ANN-GA might be desirable for the efficient and eco-friendly extraction of hydrophobic functional materials from food resources.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s10068-023-01514-8.

摘要

未标注

本研究旨在使用响应面法（RSM）或带有遗传算法（GA）的人工神经网络（ANN）优化从甜椒中加速溶剂萃取（ASE）玉米黄质的条件。输入变量为乙醇浓度、萃取时间和萃取温度，输出变量为玉米黄质。所建立的人工神经网络模型的均方误差和回归相关系数分别为0.3038和0.9983。通过人工神经网络-遗传算法预测的玉米黄质最大含量的最佳萃取条件为100%乙醇、3.4分钟和99.2°C。在最佳萃取条件下，响应面法的相对误差为10.46%，人工神经网络-遗传算法的相对误差为2.18%。我们表明，疏水性玉米黄质可通过加速溶剂萃取法使用环保溶剂乙醇进行回收，且通过人工神经网络-遗传算法建模比响应面法能提高萃取效率。因此，结合加速溶剂萃取法和人工神经网络-遗传算法可能有利于从食品资源中高效且环保地提取疏水性功能材料。

补充信息

在线版本包含可在10.1007/s10068-023-01514-8获取的补充材料。