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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Digital Technologies in Cosmetic Science

Authors: Chandani Kamble*, Mahima Magadum;

Digital Technologies in Cosmetic Science

Abstract

Cosmetic science has rapidly evolved with the integration of modern technologies that enhance product safety, efficacy, personalization, and sustainability. Traditional cosmetic formulations are now supported by advanced tools such as artificial intelligence (AI), 3D printing, nanotechnology, big data analytics, biosensors, and Internet of Things (IoT). These technologies enable precise analysis of skin and hair characteristics, facilitate the development of customized formulations, and improve delivery of active ingredients through novel systems like nanocarriers,liposomes,and microencapsulation. AI-driven diagnostics, virtual try-on tools, and digital skin mapping enhance consumer experience while strengthening product design. 3D printing contributes to personalized makeup, facial masks, and innovative packaging, whereas nanotechnology improves stability, penetration, and targeted delivery of cosmetic actives

Keywords

Cosmetic science, Modern technology, Artificial intelligence (AI) , 3D printing

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green