Machine learning-assisted smartphone fluorescence sensing for ultrasensitive and point-of-care testing of acid phosphatase.
- DOI
- 10.1016/j.aca.2026.345798
- Published
- 2026 Sep 22
- Container
- Analytica chimica acta
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.aca.2026.345798,
title = {Machine learning-assisted smartphone fluorescence sensing for ultrasensitive and point-of-care testing of acid phosphatase.},
author = {Zhong F and Zhang J and Ruan H and Yang T and Cao J and Peng L and Liu J and Deng Q and Wang L},
year = {2026},
journal = {Analytica chimica acta},
doi = {10.1016/j.aca.2026.345798},
url = {https://doi.org/10.1016/j.aca.2026.345798}
}RIS
TY - JOUR TI - Machine learning-assisted smartphone fluorescence sensing for ultrasensitive and point-of-care testing of acid phosphatase. AU - Zhong F AU - Zhang J AU - Ruan H AU - Yang T AU - Cao J AU - Peng L AU - Liu J AU - Deng Q AU - Wang L PY - 2026 JO - Analytica chimica acta DO - 10.1016/j.aca.2026.345798 UR - https://doi.org/10.1016/j.aca.2026.345798 ER -
APA
F, Z., J, Z., H, R., T, Y., J, C., L, P., J, L., Q, D., & L, W. (2026). Machine learning-assisted smartphone fluorescence sensing for ultrasensitive and point-of-care testing of acid phosphatase.. Analytica chimica acta. https://doi.org/10.1016/j.aca.2026.345798
Source records
- pubmed · retrieved 2026-09-25T04:56:38.995Z