The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Photopolymerization in 3D Printing
Open accessAbstract
Abstract The field of 3D printing is continuing its rapid development in both academic and industrial research environments. The development of 3D printing technologies has opened new implementations in rapid prototyping, tooling, dentistry, microfluidics, biomedical devices, tissue engineering, drug delivery, etc. Among different 3D printing techniques, photopolymerization-based process (such as stereolithography and digital light processing) offers flexibility over the final properties of the 3D printed materials (such as optical, chemical, and mechanical properties) using versatile polymer chemistry. The strategy behind the 3D photopolymerization is based on using monomers/oligomers in liquid state (in the presence of photoinitiators) that can be photopolymerized (via radical or cationic mechanism) upon exposure to light source of different wavelengths (depending on the photoinitiator system). An overview of recent evolutions in the field of photopolymerization-based 3D printing and highlights of novel 3D printable photopolymers is provided herein. Challenges that limit the use of conventional photopolymers (i.e., initiation under UV light) together with prospective solutions such as incorporation of photosensitive initiators with red-shifted absorptions are also discussed in detail. This review also spotlights recent progress on the use of controlled living radical photopolymerization techniques (i.e., reversible addition–fragmentation chain-transfer polymerization) in 3D printing, which will pave the way for widespread growth of new generations of 3D materials with living features and possibility for postprinting modifications.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Sydney Gladman, A., Matsumoto, E. A., Nuzzo, R. G., Mahadevan, L., & Lewis, J. A. (2016) · Nature Materials · doi:10.1038/nmat4544 · Cited by 3,027
Radical addition–fragmentation chemistry in polymer synthesis
Moad, G., Rizzardo, E., & Thang, S. H. (2008) · Polymer · doi:10.1016/j.polymer.2007.11.020 · Cited by 1,397
Momeni, F., M.Mehdi Hassani.N, S., Liu, X., & Ni, J. (2017) · Materials & Design · doi:10.1016/j.matdes.2017.02.068 · Cited by 1,165
Gauvin, R., Chen, Y.-C., Lee, J. W., Soman, P., Zorlutuna, P., Nichol, J. W., Bae, H., Chen, S., & Khademhosseini, A. (2012) · Biomaterials · doi:10.1016/j.biomaterials.2012.01.048 · Cited by 641
3D Printed Photoresponsive Devices Based on Shape Memory Composites
Yang, H., Leow, W. R., Wang, T., Wang, J., Yu, J., He, K., Qi, D., Wan, C., & Chen, X. (2017) · Advanced Materials · doi:10.1002/adma.201701627 · Cited by 483
Reprocessable thermosets for sustainable three-dimensional printing
Zhang, B., Kowsari, K., Serjouei, A., Dunn, M. L., & Ge, Q. (2018) · Nature Communications · doi:10.1038/s41467-018-04292-8 · Cited by 398
Ovsianikov, A., Mironov, V., Stampfl, J., & Liska, R. (2012) · Expert Review of Medical Devices · doi:10.1586/erd.12.48 · Cited by 160
Cited by
Kafle, A., Luis, E., Silwal, R., Pan, H. M., Shrestha, P. L., & Bastola, A. K. (2021) · Polymers · doi:10.3390/polym13183101 · Cited by 587
3D printing of functional microrobots
Li, J., & Pumera, M. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01062f · Cited by 303
In Vitro Strategies to Vascularize 3D Physiologically Relevant Models
Dellaquila, A., Le Bao, C., Letourneur, D., & Simon‐Yarza, T. (2021) · Advanced Science · doi:10.1002/advs.202100798 · Cited by 115
Hakim Khalili, M., Zhang, R., Wilson, S., Goel, S., Impey, S. A., & Aria, A. I. (2023) · Polymers · doi:10.3390/polym15102341 · Cited by 114
Stereolithography 3D printing technology in pharmaceuticals: a review
Deshmane, S., Kendre, P., Mahajan, H., & Jain, S. (2021) · Drug Development and Industrial Pharmacy · doi:10.1080/03639045.2021.1994990 · Cited by 103
Metadata
- Authors
- Bagheri, A., & Jin, J.
- Venue
- ACS Applied Polymer Materials
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-20
- Volume
- 1
- Issue
- 4
- Pages
- 593-611
- ISSN
- 2637-6105 (ISSN-L)
- OpenAlex
- W2915400200
- Cited by
- 1,436
- References
- 7
- FWCI
- 47.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Photopolymerization in 3D Printing. https://app.cochat.ai/papers/10.1021/acsapm.8b00165
- The paper
- Bagheri, A., & Jin, J. (2019). Photopolymerization in 3D Printing. ACS Applied Polymer Materials. https://doi.org/10.1021/acsapm.8b00165
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.