The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Red Phosphorus: An Earth-Abundant Elemental Photocatalyst for “Green” Bacterial Inactivation under Visible Light
Abstract
Earth-abundant red phosphorus was found to exhibit remarkable efficiency to inactivate Escherichia coli K-12 under the full spectrum of visible light and even sunlight. The reactive oxygen species (•OH, •O2(-), H2O2), which were measured and identified to derive mainly from photogenerated electrons in the conduction band using fluorescent probes and scavengers, collectively contributed to the good performance of red phosphorus. Especially, the inactivated-membrane function enzymes were found to be associated with great loss of respiratory and ATP synthesis activity, the kinetics of which paralleled cell death and occurred much earlier than those of cytoplasmic proteins and chromosomal DNA. This indicated that the cell membrane was a vital first target for reactive oxygen species oxidation. The increased permeability of the cell membrane consequently accelerated intracellular protein carboxylation and DNA degradation to cause definite bacterial death. Microscopic analyses further confirmed the cell destruction process starting with the cell envelope and extending to the intracellular components. The red phosphorus still maintained good performance even after recycling through five reaction cycles. This work offers new insight into the exploration and use of an elemental photocatalyst for "green" environmental applications.
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
Photochemically induced formation of reactive oxygen species (ROS) from effluent organic matter
Zhang, D., Yan, S., & Song, W. (2014) · Environmental Science & Technology · doi:10.1021/es5028663 · Cited by 385
Cited by
Environmental Applications of 2D Molybdenum Disulfide (MoS2) Nanosheets
Wang, Z., & Mi, B. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b01466 · Cited by 914
Rapid water disinfection using vertically aligned MoS2 nanofilms and visible light
Liu, C., Kong, D., Hsu, P.-C., Yuan, H., Lee, H.-W., Liu, Y., Wang, H., Wang, S., Yan, K., Lin, D., et al. (2016) · Nature Nanotechnology · doi:10.1038/nnano.2016.138 · Cited by 845
Zhu, X., Zhang, T., Sun, Z., Chen, H., Guan, J., Chen, X., Ji, H., Du, P., & Yang, S. (2017) · Advanced Materials · doi:10.1002/adma.201605776 · Cited by 498
Li, C., Xu, Y., Tu, W., Chen, G., & Xu, R. (2017) · Green Chemistry · doi:10.1039/c6gc02856j · Cited by 329
Zheng, Q., Durkin, D. P., Elenewski, J. E., Sun, Y., Banek, N. A., Hua, L., Chen, H., Wagner, M. J., Zhang, W., & Shuai, D. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02579 · Cited by 328
Advances in photocatalytic disinfection of bacteria: Development of photocatalysts and mechanisms
Wang, W., Huang, G., Yu, J. C., & Wong, P. K. (2015) · Journal of Environmental Sciences · doi:10.1016/j.jes.2015.05.003 · Cited by 318
Self-citationLi, J., Tan, L., Liu, X., Cui, Z., Yang, X., Yeung, K. W. K., Chu, P. K., & Wu, S. (2017) · ACS Nano · doi:10.1021/acsnano.7b05620 · Cited by 300
Wang, L., Zhang, X., Yu, X., Gao, F., Shen, Z., Zhang, X., Ge, S., Liu, J., Gu, Z., & Chen, C. (2019) · Advanced Materials · doi:10.1002/adma.201901965 · Cited by 300
Self-citationPhotocatalytic nanomaterials for solar-driven bacterial inactivation: recent progress and challenges
Wang, W., Li, G., Xia, D., An, T., Zhao, H., & Wong, P. K. (2017) · Environmental Science: Nano · doi:10.1039/c7en00063d · Cited by 286
Self-citationWang, W., Li, G., An, T., Chan, D. K. L., Yu, J. C., & Wong, P. K. (2018) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2018.07.004 · Cited by 267
Self-citationAntimicrobial TiO2 nanocomposite coatings for surfaces, dental and orthopaedic implants
Kumaravel, V., Nair, K. M., Mathew, S., Bartlett, J., Kennedy, J. E., Manning, H. G., Whelan, B. J., Leyland, N. S., & Pillai, S. C. (2021) · Chemical Engineering Journal · doi:10.1016/j.cej.2021.129071 · Cited by 266
Metadata
- Authors
- Xia, D., Shen, Z., Huang, G., Wang, W., Yu, J. C., & Wong, P. K.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-04-29
- Volume
- 49
- Issue
- 10
- Pages
- 6264-6273
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2323846136
- Cited by
- 250
- References
- 1
- FWCI
- 7.92
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
