The sustainability of emerging technologies for use in pharmaceutical manufacturing
Open accessAbstract
INTRODUCTION: Sustainability within the pharmaceutical industry is becoming a focal point for many companies, to improve the longevity and social perception of the industry. Both additive manufacturing (AM) and microfluidics (MFs) are continuously progressing, so are far from their optimization in terms of sustainability; hence, it is the aim of this review to highlight potential gaps alongside their beneficial features. Discussed throughout this review also will be an in-depth discussion on the environmental, legal, economic, and social particulars relating to these emerging technologies. AREAS COVERED: Additive manufacturing (AM) and microfluidics (MFs) are discussed in depth within this review, drawing from up-to-date literature relating to sustainability and circular economies. This applies to both technologies being utilized for therapeutic and analytical purposes within the pharmaceutical industry. EXPERT OPINION: It is the role of emerging technologies to be at the forefront of promoting a sustainable message by delivering plausible environmental standards whilst maintaining efficacy and economic viability. AM processes are highly customizable, allowing for their optimization in terms of sustainability, from reducing printing time to reducing material usage by removing supports. MFs too are supporting sustainability via reduced material wastage and providing a sustainable means for point of care analysis.
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Production and manufacturing of medical products results in at least 15% of the industry's greenhouse gases.
“Because the production and manufacturing of medical products results in at least 15% of the industry's GHGs, this is an important group to engage and mobilize.”
From How Ophthalmologists Can Decarbonize Eye Care (2023) · cites this paper as [74]
The Introduction says direct manufacturing is one source of the pharmaceutical industry's greenhouse-gas emissions. It does not quantify production and manufacturing of medical products as accounting for at least 15% of the industry's emissions; searches for that percentage found no supporting passage. (LLM, conf=0.84)
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“…looked at the social implications of medical products to enhance the quality of medical items, minimise their ecological impact on sustainable manufacturing, and enhance technology and 3DP process effectiveness (Weaver, O’Hagan, and Lamprou 2022; Choonara et al. 2016; Gopal, Lemu, and Gutema 2022).”
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Emerging Technologies Transforming Therapy
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- Authors
- Weaver, E., O’Hagan, C., & Lamprou, D. A.
- Affiliations
- Queen's University Belfast (GB)
- School of Pharmacy, Queen’s University Belfast, Belfast, UK
- Corresponding author
- Lamprou, Dimitrios A.
- Venue
- Expert Opinion on Drug Delivery
- Publisher
- Informa UK Limited
- Published
- 2022-06-27
- Volume
- 19
- Issue
- 7
- Pages
- 861-872
- ISSN
- 1742-5247 (ISSN-L)
- 1744-7593
- OpenAlex
- W4283364899
- Cited by
- 70
- References
- 90
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 18 · 2023: 16 · 2022: 5
- FWCI
- 1.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Expert Opinion on Drug Delivery (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research Portal (Queen's University Belfast) (acceptedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Additive Manufacturing and 3D Printing Technologies
- Physical Sciences › Environmental Science › Environmental Chemistry › Chemistry and Chemical Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Innovative Microfluidic and Catalytic Techniques Innovation
- Keywords
- sustainability, pharmaceutical manufacturing, additive manufacturing, microfluidics, circular economy, environmental impact, point-of-care analysis, material waste reduction, economic feasibility
- MeSH terms
- Drug Industry, Pharmaceutical Preparations, Microfluidics, Printing, Three-Dimensional
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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