0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessGram-positive (G+) and Gram-negative (G–) bacteria require considerable differences in their therapeutic strategies. Thus, the development of highly efficient techniques for differentiating G+ and G– bacteria is of vital importance for practical clinical applications. Herein, we present 2-((10-ethyl-10H-phenothiazin-3-yl)methylene)-1H-indene-1,3(2H)-dione(PH-ID), which is an electrically neutral, red fluorophore with aggregation-induced enhanced emission (AIEE) characteristic, to selectively stain G+ bacteria membranes with high specificity and sensitivity. The staining result can be accomplished within 10 min and can be read by the naked eye. Lipopolysaccharide (LPS) in the outer leaflet of the membrane of G– bacteria prevents the staining of the bacteria by PH-ID, which is the mechanism underlying the Gram selectivity of PH-ID. This study not only provides a highly efficient method for bacteria imaging and discrimination, but also provides insight into the bacteria imaging mechanism, which is beneficial for the exploration of new electroneutral AIE luminogens for bacteria surveillance applications.
Xiaohui Wang, Meirong Song, Yiwei Liu, Xing Feng, Carl Redshaw, Dong Wang, Kui Zhu, Ying Li, Ben Zhong Tang (2022). Lipid Droplet-Specific Red Aggregation-Induced Emission Luminogens: Fast Light-Up of Gram-Positive Pathogens for Identification of Bacteria. , 4(8), DOI: https://doi.org/10.1021/acsmaterialslett.2c00551.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2022
Authors
9
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1021/acsmaterialslett.2c00551
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access