3D printing in the pharmaceutical sector: Advances and evidences

Ryan Varghese , Purab Sood , Sahil Salvi , Jainam Karsiya , Dileep Kumar
{"title":"3D printing in the pharmaceutical sector: Advances and evidences","authors":"Ryan Varghese ,&nbsp;Purab Sood ,&nbsp;Sahil Salvi ,&nbsp;Jainam Karsiya ,&nbsp;Dileep Kumar","doi":"10.1016/j.sintl.2022.100177","DOIUrl":null,"url":null,"abstract":"<div><p>Since its inception in the early 1980s, 3D Printing (3DP) technology has made a significant impact in a multitude of sectors, and pharmaceutical manufacturing is no exception. With the changing horizons, both people and researchers are gaining interest in the fabrication of tailored or personalized dosage forms. These dosage forms address the issues pertaining to on-demand manufacturing, feasibility, enhanced size, dosage and geometry, increased bioavailability with desired drug release profiles, and minimal toxicity or adverse drug reaction issues. The advent of 3DP in the pharmaceutical and healthcare sector is believed to potentially disrupt the dosage, supply chain, and waste management of conventional drugs. However, it may help to address specific issues for various subgroups, including pediatric, geriatric, multimorbid, visually impaired patients, and those with chronic diseases Although several articles underscore the various utilities of 3DP techniques, this article aims to review the various research areas along with the shortcomings associated with the printing technique.</p></div>","PeriodicalId":21733,"journal":{"name":"Sensors International","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666351122000225/pdfft?md5=2a84ceac5843bd33948b31620229cf9d&pid=1-s2.0-S2666351122000225-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors International","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666351122000225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Since its inception in the early 1980s, 3D Printing (3DP) technology has made a significant impact in a multitude of sectors, and pharmaceutical manufacturing is no exception. With the changing horizons, both people and researchers are gaining interest in the fabrication of tailored or personalized dosage forms. These dosage forms address the issues pertaining to on-demand manufacturing, feasibility, enhanced size, dosage and geometry, increased bioavailability with desired drug release profiles, and minimal toxicity or adverse drug reaction issues. The advent of 3DP in the pharmaceutical and healthcare sector is believed to potentially disrupt the dosage, supply chain, and waste management of conventional drugs. However, it may help to address specific issues for various subgroups, including pediatric, geriatric, multimorbid, visually impaired patients, and those with chronic diseases Although several articles underscore the various utilities of 3DP techniques, this article aims to review the various research areas along with the shortcomings associated with the printing technique.

Abstract Image

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
3D打印在制药领域:进展和证据
自20世纪80年代初诞生以来,3D打印(3DP)技术已经在众多领域产生了重大影响,制药制造也不例外。随着视野的变化,人们和研究人员对定制或个性化剂型的制造越来越感兴趣。这些剂型解决了与按需生产、可行性、增强尺寸、剂量和几何形状、提高生物利用度和所需药物释放谱以及最小毒性或药物不良反应问题有关的问题。据信,3d打印技术在制药和医疗保健领域的出现,可能会颠覆传统药物的剂量、供应链和废物管理。然而,它可能有助于解决各种亚群体的具体问题,包括儿童、老年人、多病、视力受损患者和慢性病患者。尽管有几篇文章强调了3d打印技术的各种用途,但本文的目的是回顾各种研究领域以及与打印技术相关的缺点。
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
17.40
自引率
0.00%
发文量
0
期刊最新文献
A method to detect enzymatic reactions with field effect transistor Blue luminescent carbon quantum dots derived from diverse banana peels for selective sensing of Fe(III) ions The application of ultrasonic measurement and machine learning technique to identify flow regime in a bubble column reactor A capacitive sensor-based approach for type-2 diabetes detection via bio-impedance analysis of erythrocytes GA-mADAM-IIoT: A new lightweight threats detection in the industrial IoT via genetic algorithm with attention mechanism and LSTM on multivariate time series sensor data
×
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