A Membrane‐Intercalating Conjugated Oligoelectrolyte with High‐Efficiency Photodynamic Antimicrobial Activity

Wang, Bing; Wang, Ming; Mikhailovsky, Alexander; Wang, Shu; Bazan, Guillermo C.

doi:10.1002/ange.201701146

Cited by 33 publications

(13 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the past few years, fluorescence probes have attracted a great deal of attention for singlet oxygen sensing. They generally detect 1 O 2 by monitoring changes in various properties, such as wavelength and emission intensity. , The high sensitivity, quick response, and excellent spatial resolution in microscopic imaging make them promising probes . For all the small-molecule dyes, however, 1 O 2 is typically detected by the emission intensity, which makes it difficult to quantitatively determine the concentration.…”

mentioning

confidence: 99%

Ratiometric Fluorescent Detection of Intracellular Singlet Oxygen by Semiconducting Polymer Dots

et al. 2018

View full text Add to dashboard Cite

Singlet oxygen ( 1 O 2 ) plays important roles in many biological processes. However, it is very difficult to detect 1 O 2 in the intracellular environment because of its relatively low concentration and short lifetime. Here, we developed a ratiometric probe based on semiconducting polymer dots (Pdots) that can sensitively detect 1 O 2 in live cells. An organic dye, singlet oxygen sensor green (SOSG), was doped in polyfluorene Pdots, and excitation energy was efficiently transferred from the polymer to the SOSG dye. Accordingly, the Pdots showed constant blue fluorescence as a reference, and increased green fluorescence upon singlet oxygen generation. The ratiometric response of Pdots was examined in the intracellular environment by in situ 1 O 2 generation with a photosensitizer and light irradiation. Both spectroscopic measurements and confocal imaging were performed to monitor intracellular 1 O 2 generation during photodynamic therapy using the Pdot probe. Our results indicate that the SOSG-doped Pdots are promising for intracellular 1 O 2 detection.

show abstract

mentioning

confidence: 99%

Ratiometric Fluorescent Detection of Intracellular Singlet Oxygen by Semiconducting Polymer Dots

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Photosensitizers (PSs) are molecules that can harvest light energy and generate singlet oxygen, reactive nitrogen species, and radicals for different applications, − such as photodynamic therapy (PDT), photocatalytic water treatment, and organic synthesis. − Owing to the limited PSs available, it is difficult to find an optimized PS for a particular application, e.g., a PS with high efficiency and near-infrared (NIR) absorption for PDT or high photostability and good solubility for water treatment. Therefore, it is of great research interest and practical application to discover new PS structures. , …”

Section: Introductionmentioning

confidence: 99%

Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle Simulations

Cai

et al. 2021

J. Am. Chem. Soc.

View full text Add to dashboard Cite

Artificial intelligence (AI) based self-learning or self-improving material discovery system will enable next-generation material discovery. Herein, we demonstrate how to combine accurate prediction of material performance via firstprinciple calculations and Bayesian optimization-based active learning to realize a selfimproving discovery system for high-performance photosensitizers (PSs). Through self-improving cycles, such a system can improve the model prediction accuracy (best mean absolute error of 0.090 eV for singlet−triplet spitting) and high-performance PS search ability, realizing efficient discovery of PSs. From a molecular space with more than 7 million molecules, 5357 potential high-performance PSs were discovered. Four PSs were further synthesized to show performance comparable with or superior to commercial ones. This work highlights the potential of active learning in firstprinciple-based materials design, and the discovered structures could boost the development of photosensitization related applications.

show abstract

“…[14][15][16][17] Benefiting from the high reactivity of the photoproducts, PSs are highly desirable in many applications, including photodynamic therapy (PDT), antibacterial treatment, photocatalytic water treatment, and synthetic chemistry. [18][19][20][21][22] Owing to the limited PS structural library, it is difficult to find an optimized PS for a particular application, e.g., a PS with high efficiency and near-infrared (NIR) absorption for PDT, or high photostability and good solubility for water treatment. Therefore, it is of both research and application interest to discover new PS structures.…”

Section: Introductionmentioning

confidence: 99%

A Self-Improving Photosensitizer Discovery System via Bayesian Optimization and Quantum Chemical Calculation

Li²,

Cai³

et al. 2021

Preprint

View full text Add to dashboard Cite

Artificial intelligence (AI) based self-learning or self-improving material discovery system is the holy grail of next-generation material discovery and materials science. Herein, we demonstrate how to combine accurate prediction of material performance via quantum chemical calculations and Bayesian optimization-based active learning to realize a self-improving discovery system for high-performance photosensitizers (PS). Through self-improving cycles, such a system can improve the model prediction accuracy (best mean average error of 0.09 eV for singlet-triplet spitting) and high-performance PS search ability, realizing the efficient discovery of PS. From a molecular space with more than 7 million molecules, 5950 potential high-performance PSs were discovered.

show abstract

A Membrane‐Intercalating Conjugated Oligoelectrolyte with High‐Efficiency Photodynamic Antimicrobial Activity

Abstract: Supportinginformation and the ORCID identification number(s) for the author(s) of this article can be found under: http://dx.

Cited by 33 publications

References 45 publications

Ratiometric Fluorescent Detection of Intracellular Singlet Oxygen by Semiconducting Polymer Dots

Ratiometric Fluorescent Detection of Intracellular Singlet Oxygen by Semiconducting Polymer Dots

Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle Simulations

A Self-Improving Photosensitizer Discovery System via Bayesian Optimization and Quantum Chemical Calculation

Contact Info

Product

Resources

About