• 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

乳化化妆品的当前视角:将人工智能融入产品设计

Current Perspectives on Emulsified Cosmetics: Integration of Artificial Intelligence into Product Design.

作者信息

Solarte Sebastian, Porras Alicia, Pradilla Diego, Alvarez Solano Oscar Alberto

机构信息

Grupo de Diseño de Procesos y Productos (GDPP), Departamento de Ingeniería Química y de Alimentos, Universidad de los Andes, Cra 1 N. 18A - 12, Bogota 111711, Colombia.

出版信息

ACS Omega. 2025 Aug 14;10(33):36788-36803. doi: 10.1021/acsomega.5c03316. eCollection 2025 Aug 26.

DOI:10.1021/acsomega.5c03316
PMID:40893291
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12392008/
Abstract

Industry 4.0 is driving innovation in cosmetics, with artificial intelligence (AI) playing a transformative role in modeling, prediction, and product design. This review explores the integration and current advances in emulsified cosmetic product design from a multiscale approach at molecular, microscopic, and macroscopic stages. Therefore, AI applications ranging from interfacial tension estimation to droplet size distribution modeling, cosmetic selection for skin suitability, and packaging design are discussed and explored to review the opportunity of encompassing methodologies at the design stage of an emulsified cosmetic. As a result, this review identifies challenges and opportunities, emphasizing the transformative potential of AI integration in the cosmetics field, focusing on the opportunity to reduce experimental time and incorporate consumer-relevant formulations aiming to revolutionize the field.

摘要

工业 4.0 正在推动化妆品行业的创新,人工智能(AI)在建模、预测和产品设计中发挥着变革性作用。本综述从分子、微观和宏观阶段的多尺度方法探讨了乳化化妆品设计中的整合及当前进展。因此,本文讨论并探索了从界面张力估计到液滴尺寸分布建模、皮肤适用性化妆品选择以及包装设计等人工智能应用,以审视在乳化化妆品设计阶段纳入相关方法的机会。结果,本综述确定了挑战和机遇,强调了人工智能整合在化妆品领域的变革潜力,重点关注减少实验时间以及纳入与消费者相关配方的机会,旨在彻底改变该领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/2a2bfa8eb80a/ao5c03316_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/cdf2a644aba7/ao5c03316_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/cce73017d561/ao5c03316_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/9d751074a68c/ao5c03316_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/74e8090321ac/ao5c03316_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/59dd2ee2dec7/ao5c03316_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/10ba52379260/ao5c03316_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/13e74c6a62d6/ao5c03316_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/2a2bfa8eb80a/ao5c03316_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/cdf2a644aba7/ao5c03316_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/cce73017d561/ao5c03316_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/9d751074a68c/ao5c03316_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/74e8090321ac/ao5c03316_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/59dd2ee2dec7/ao5c03316_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/10ba52379260/ao5c03316_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/13e74c6a62d6/ao5c03316_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243b/12392008/2a2bfa8eb80a/ao5c03316_0008.jpg

相似文献

1
Current Perspectives on Emulsified Cosmetics: Integration of Artificial Intelligence into Product Design.乳化化妆品的当前视角:将人工智能融入产品设计
ACS Omega. 2025 Aug 14;10(33):36788-36803. doi: 10.1021/acsomega.5c03316. eCollection 2025 Aug 26.
2
The dawn of a new era: can machine learning and large language models reshape QSP modeling?新时代的曙光:机器学习和大语言模型能否重塑定量系统药理学建模?
J Pharmacokinet Pharmacodyn. 2025 Jun 16;52(4):36. doi: 10.1007/s10928-025-09984-5.
3
Artificial intelligence in inflammatory bowel disease endoscopy - a review of current evidence and a critical perspective on future challenges.炎症性肠病内镜检查中的人工智能——当前证据综述及对未来挑战的批判性观点
Therap Adv Gastroenterol. 2025 Jul 13;18:17562848251350896. doi: 10.1177/17562848251350896. eCollection 2025.
4
Research status, hotspots and perspectives of artificial intelligence applied to pain management: a bibliometric and visual analysis.人工智能应用于疼痛管理的研究现状、热点与展望:一项文献计量学与可视化分析
Updates Surg. 2025 Jun 28. doi: 10.1007/s13304-025-02296-w.
5
Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review.人工智能在测量食物和营养素摄入量中的应用:范围综述。
J Med Internet Res. 2024 Nov 28;26:e54557. doi: 10.2196/54557.
6
Advances in the Application of AI Robots in Critical Care: Scoping Review.人工智能机器人在重症监护中的应用进展:范围综述。
J Med Internet Res. 2024 May 27;26:e54095. doi: 10.2196/54095.
7
AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.医学问卷中的人工智能:创新、诊断及影响
J Med Internet Res. 2025 Jun 23;27:e72398. doi: 10.2196/72398.
8
The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review.人工智能与可穿戴惯性测量单元在医学中的应用:系统评价
JMIR Mhealth Uhealth. 2025 Jan 29;13:e60521. doi: 10.2196/60521.
9
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
10
Anterior Approach Total Ankle Arthroplasty with Patient-Specific Cut Guides.使用患者特异性截骨导向器的前路全踝关节置换术。
JBJS Essent Surg Tech. 2025 Aug 15;15(3). doi: 10.2106/JBJS.ST.23.00027. eCollection 2025 Jul-Sep.

本文引用的文献

1
A novel algorithm for modeling gas-oil dynamic interfacial tension (IFT) and component exchange mechanisms.一种用于模拟气-油动态界面张力(IFT)和组分交换机制的新型算法。
Sci Rep. 2025 May 30;15(1):19078. doi: 10.1038/s41598-025-03372-2.
2
Impact of Different Packaging Configurations on A Topical Cream Product.不同包装结构对一种局部用乳膏产品的影响。
Pharm Res. 2024 Oct;41(10):2043-2056. doi: 10.1007/s11095-024-03772-5. Epub 2024 Sep 30.
3
Droplet Size Distribution in Emulsions.乳液中的液滴尺寸分布
Langmuir. 2024 Jan 9;40(1):275-281. doi: 10.1021/acs.langmuir.3c02463. Epub 2023 Dec 20.
4
Artificial intelligence and classic methods to segment and characterize spherical objects in micrographs of industrial emulsions.人工智能与经典方法在工业乳状液显微图像中对球形物体进行分割和特征描述。
Int J Pharm. 2024 Jan 5;649:123633. doi: 10.1016/j.ijpharm.2023.123633. Epub 2023 Nov 22.
5
Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms.基于人工智能算法的油样中水球的检测与分散分析
Biomimetics (Basel). 2023 Jul 13;8(3):309. doi: 10.3390/biomimetics8030309.
6
Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests-How Does the Infotechnomics Compare to Other "Omics" in the Cosmetics Safety Assessment?人工智能预测化妆品成分致敏潜力的准确性可与动物和体外试验相媲美——Infotechnomics 与化妆品安全评估中的其他“组学”相比如何?
Int J Mol Sci. 2023 Apr 6;24(7):6801. doi: 10.3390/ijms24076801.
7
Colombian Sustainability Perspective on Fused Deposition Modeling Technology: Opportunity to Develop Recycled and Biobased 3D Printing Filaments.哥伦比亚对熔融沉积成型技术的可持续发展视角:开发回收和生物基3D打印长丝的机遇。
Polymers (Basel). 2023 Jan 19;15(3):528. doi: 10.3390/polym15030528.
8
Nanotechnology: A Revolution in Modern Industry.纳米技术:现代工业的革命。
Molecules. 2023 Jan 9;28(2):661. doi: 10.3390/molecules28020661.
9
VOSviewer and Bibliometrix.VOSviewer 和 Bibliometrix.
J Med Libr Assoc. 2022 Jul 1;110(3):392-395. doi: 10.5195/jmla.2022.1434.
10
Artificial intelligence in melanoma: A systematic review.人工智能在黑色素瘤中的应用:系统综述。
J Cosmet Dermatol. 2022 Nov;21(11):5993-6004. doi: 10.1111/jocd.15323. Epub 2022 Sep 20.