Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 334

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Metal–Organic‐Framework‐Assisted In Vivo Bacterial Metabolic Labeling and Precise Antibacterial Therapy

Mao, Duo, Hu, Fang, Kenry, Ji, Shenglu, Wu, Wenbo, Ding, Dan, Kong, Deling, Liu, Bin·2018·Advanced Materials

Abstract

Bacterial infection is one of the most serious physiological conditions threatening human health. There is an increasing demand for more effective bacterial diagnosis and treatment through noninvasive theranostic approaches. Herein, a new strategy is reported to achieve in vivo metabolic labeling of bacteria through the use of MIL‐100 (Fe) nanoparticles (NPs) as the nanocarrier for precise delivery of 3‐azido‐d‐alanine (d‐AzAla). After intravenous injection, MIL‐100 (Fe) NPs can accumulate preferentially and degrade rapidly within the high H 2 O 2 inflammatory environment, releasing d‐AzAla in the process. d‐AzAla is selectively integrated into the cell walls of bacteria, which is confirmed by fluorescence signals from clickable DBCO‐Cy5. Ultrasmall photosensitizer NPs with aggregation‐induced emission characteristics are subsequently designed to react with the modified bacteria through in vivo click chemistry. Through photodynamic therapy, the amount of bacteria on the infected tissue can be significantly reduced. Overall, this study demonstrates the advantages of metal–organic‐framework‐assisted bacteria metabolic labeling strategy for precise bacterial detection and therapy guided by fluorescence imaging.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.201706831

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 26 references

Cited by

See all 334

Metadata

Authors
Mao, D., Hu, F., Kenry, Ji, S., Wu, W., Ding, D., Kong, D., & Liu, B.
Venue
Advanced Materials
Publisher
Wiley
Published
2018-03-05
Volume
30
Issue
18
Pages
e1706831-e1706831
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2792029853
Cited by
334
References
26
FWCI
15.09
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Metal–Organic‐Framework‐Assisted In Vivo Bacterial Metabolic Labeling and Precise Antibacterial Therapy. https://app.cochat.ai/papers/10.1002/adma.201706831
The paper
Mao, D., Hu, F., Kenry, Ji, S., Wu, W., Ding, D., Kong, D., & Liu, B. (2018). Metal–Organic‐Framework‐Assisted In Vivo Bacterial Metabolic Labeling and Precise Antibacterial Therapy. Advanced Materials. https://doi.org/10.1002/adma.201706831

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.