ArticleRSC advances2020
A dual enhanced anti-bacterial strategy based on high chlorin e6-loaded polyethyleneimine functionalized graphene.
Article in RSC advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Chlorin Activity Enhancers for Photodynamic Therapy.Molecules (Basel, Switzerland) · 2025Review
- Article
- In Vitro Synergistic Photodynamic, Photothermal, Chemodynamic, and Starvation Therapy Performance of Chlorin e6 Immobilized, Polydopamine-Coated Hollow, Porous Ceria-Based, Hypoxia-Tolerant Nanozymes Carrying a Cascade System.ACS applied bio materials · 2024Article
- Natural Photosensitizers in Antimicrobial Photodynamic Therapy.Biomedicines · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial infection has always been a long-term problem of human history and has nowadays became a severe threat to human health with the appearance of drug-resistant bacteria due to the abuse of antibiotics. In this study, a high chlorin e6 (Ce6) photosensitizer-loaded polyethyleneimine-functionalized graphene (PEI-G) nanocomposite (PEI-G@Ce6) was prepared. The loading capacity of Ce6 on PEI-G@Ce6 was approximately up to 32.91 wt%, which was higher than that of other nanomaterials. The as-prepared PEI-G@Ce6 not only improves the photostability of free photosensitizer Ce6 molecules but also maintains the ability of singlet oxygen generation. Based on the dual enhancement of the physical antibacterial effects of PEI-G and the photodynamic therapy (PDT) antibacterial effects of loaded photosensitizer Ce6, PEI-G@Ce6 exhibited enhanced antibacterial efficiency towards
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.