The DOI matches its Crossref record; 269 of the 269 references it cites were found in a registry or an index.
Antibacterial biomaterials for skin wound dressing
Open accessAbstract
Bacterial infection and the ever-increasing bacterial resistance have imposed severe threat to human health. And bacterial contamination could significantly menace the wound healing process. Considering the sophisticated wound healing process, novel strategies for skin tissue engineering are focused on the integration of bioactive ingredients, antibacterial agents included, into biomaterials with different morphologies to improve cell behaviors and promote wound healing. However, a comprehensive review on anti-bacterial wound dressing to enhance wound healing has not been reported. In this review, various antibacterial biomaterials as wound dressings will be discussed. Different kinds of antibacterial agents, including antibiotics, nanoparticles (metal and metallic oxides, light-induced antibacterial agents), cationic organic agents, and others, and their recent advances are summarized. Biomaterial selection and fabrication of biomaterials with different structures and forms, including films, hydrogel, electrospun nanofibers, sponge, foam and three-dimension (3D) printed scaffold for skin regeneration, are elaborated discussed. Current challenges and the future perspectives are presented in this multidisciplinary field. We envision that this review will provide a general insight to the elegant design and further refinement of wound dressing.
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2 retracted
RETRACTED: Chronic Inflammation: Accelerator of Biological Aging
Fougère, B., Boulanger, E., Nourhashémi, F., Guyonnet, S., & Cesari, M. (2017) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glw240 · Cited by 247
RetractedXiao, F., Cao, B., Wang, C., Guo, X., Li, M., Xing, D., & Hu, X. (2019) · ACS Nano · doi:10.1021/acsnano.8b07251 · Cited by 117
RetractedFunctional Hydrogels as Wound Dressing to Enhance Wound Healing
Liang, Y., He, J., & Guo, B. (2021) · ACS Nano · doi:10.1021/acsnano.1c04206 · Cited by 3,135
Self-citationAntibacterial properties of nanoparticles
Hajipour, M. J., Fromm, K. M., Akbar Ashkarran, A., Jimenez de Aberasturi, D., Larramendi, I. R. D., Rojo, T., Serpooshan, V., Parak, W. J., & Mahmoudi, M. (2012) · Trends in Biotechnology · doi:10.1016/j.tibtech.2012.06.004 · Cited by 2,710
Zhao, X., Wu, H., Guo, B., Dong, R., Qiu, Y., & Ma, P. X. (2017) · Biomaterials · doi:10.1016/j.biomaterials.2017.01.011 · Cited by 1,971
Self-citationBiomaterials based on chitin and chitosan in wound dressing applications
Jayakumar, R., Prabaharan, M., Sudheesh Kumar, P. T., Nair, S. V., & Tamura, H. (2011) · Biotechnology Advances · doi:10.1016/j.biotechadv.2011.01.005 · Cited by 1,924
Qu, J., Zhao, X., Liang, Y., Zhang, T., Ma, P. X., & Guo, B. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.08.044 · Cited by 1,809
Self-citationAntimicrobial activity of the metals and metal oxide nanoparticles
Dizaj, S. M., Lotfipour, F., Barzegar-Jalali, M., Zarrintan, M. H., & Adibkia, K. (2014) · Materials Science and Engineering: C · doi:10.1016/j.msec.2014.08.031 · Cited by 1,725
Liang, Y., Zhao, X., Hu, T., Chen, B., Yin, Z., Ma, P. X., & Guo, B. (2019) · Small · doi:10.1002/smll.201900046 · Cited by 1,281
Self-citationNussbaum, S. R., Carter, M. J., Fife, C. E., DaVanzo, J., Haught, R., Nusgart, M., & Cartwright, D. (2018) · Value in Health · doi:10.1016/j.jval.2017.07.007 · Cited by 1,218
Cited by
Liang, Y., Xu, H., Li, Z., Zhangji, A., & Guo, B. (2022) · Nano-Micro Letters · doi:10.1007/s40820-022-00928-z · Cited by 313
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Metadata
- Authors
- Liang, Y., Liang, Y., Zhang, H., & Guo, B.
- Venue
- Asian Journal of Pharmaceutical Sciences
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 17
- Issue
- 3
- Pages
- 353-384
- ISSN
- 1818-0876 (ISSN-L)
- OpenAlex
- W4207062628
- Cited by
- 440
- References
- 269
- FWCI
- 35.59
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Liang, Y., Liang, Y., Zhang, H., & Guo, B. (2022). Antibacterial biomaterials for skin wound dressing. Asian Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.ajps.2022.01.001
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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.
