The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultra-pH-Sensitive Nanoprobe Library with Broad pH Tunability and Fluorescence Emissions
Open accessAbstract
pH is an important physiological parameter that plays a critical role in cellular and tissue homeostasis. Conventional small molecular pH sensors (e.g., fluorescein, Lysosensor) are limited by broad pH response and restricted fluorescent emissions. Previously, we reported the development of ultra-pH-sensitive (UPS) nanoprobes with sharp pH response using fluorophores with small Stokes shifts (<40 nm). In this study, we expand the UPS design to a library of nanoprobes with operator-predetermined pH transitions and wide fluorescent emissions (400-820 nm). A copolymer strategy was employed to fine tune the hydrophobicity of the ionizable hydrophobic block, which led to a desired transition pH based on standard curves. Interestingly, matching the hydrophobicity of the monomers was critical to achieve a sharp pH transition. To overcome the fluorophore limitations, we introduced copolymers conjugated with fluorescence quenchers (FQs). In the micelle state, the FQs effectively suppressed the emission of fluorophores regardless of their Stokes shifts and further increased the fluorescence activation ratios. As a proof of concept, we generated a library of 10 nanoprobes each encoded with a unique fluorophore. The nanoprobes cover the entire physiologic range of pH (4-7.4) with 0.3 pH increments. Each nanoprobe maintained a sharp pH transition (on/off < 0.25 pH) and high fluorescence activation ratio (>50-fold between on and off states). The UPS library provides a useful toolkit to study pH regulation in many pathophysiological indications (e.g., cancer, lysosome catabolism) as well as establishing tumor-activatable systems for cancer imaging and drug delivery.
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
Activation of Microglia Acidifies Lysosomes and Leads to Degradation of Alzheimer Amyloid Fibrils
Majumdar, A., Cruz, D., Asamoah, N., Buxbaum, A., Sohar, I., Lobel, P., & Maxfield, F. R. (2007) · Molecular Biology of the Cell · doi:10.1091/mbc.e06-10-0975 · Cited by 271
Cited by
Li, H.-J., Du, J.-Z., Liu, J., Du, X.-J., Shen, S., Zhu, Y.-H., Wang, X., Ye, X., Nie, S., & Wang, J. (2016) · ACS Nano · doi:10.1021/acsnano.6b02326 · Cited by 537
Stimuli-Responsive Polymer-Based Nanosystems for Cancer Theranostics
Wei, D., Sun, Y., Zhu, H., & Fu, Q. (2023) · ACS Nano · doi:10.1021/acsnano.3c06019 · Cited by 303
The Importance of Apparent pKa in the Development of Nanoparticles Encapsulating siRNA and mRNA
Patel, P., Ibrahim, N. M., & Cheng, K. (2021) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2021.03.002 · Cited by 280
Molecular imaging of the tumor microenvironment
Zhou, Z., & Lu, Z.-R. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.07.012 · Cited by 253
Successively activatable ultrasensitive probe for imaging tumour acidity and hypoxia
Zheng, X., Mao, H., Huo, D., Wu, W., Liu, B., & Jiang, X. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0057 · Cited by 210
Metadata
- Authors
- Ma, X., Wang, Y., Zhao, T., Li, Y., Su, L.-C., Wang, Z., Huang, G., Sumer, B. D., & Gao, J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-07-29
- Volume
- 136
- Issue
- 31
- Pages
- 11085-11092
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2010773538
- Cited by
- 292
- References
- 1
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Ultra-pH-Sensitive Nanoprobe Library with Broad pH Tunability and Fluorescence Emissions. https://app.cochat.ai/papers/10.1021/ja5053158
- The paper
- Ma, X., Wang, Y., Zhao, T., Li, Y., Su, L.-C., Wang, Z., Huang, G., Sumer, B. D., & Gao, J. (2014). Ultra-pH-Sensitive Nanoprobe Library with Broad pH Tunability and Fluorescence Emissions. Journal of the American Chemical Society. https://doi.org/10.1021/ja5053158
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.