AI-integrated chemosensing platform for sequential nanomolar detection of Fe3+ and arsenic species via smartphone-assisted machine learning toward rapid portable environmental monitoring
- DOI
- 10.1016/j.chemosphere.2026.145078
- Published
- 2026-09
- Container
- Chemosphere
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.chemosphere.2026.145078,
title = {AI-integrated chemosensing platform for sequential nanomolar detection of Fe3+ and arsenic species via smartphone-assisted machine learning toward rapid portable environmental monitoring},
author = {Upendar Reddy Gandra and Harika Reddy Vallapu Reddy and Praveen B. Managutti and Yarjan Abdul Samad and Shadi W. Hasan},
year = {2026},
journal = {Chemosphere},
doi = {10.1016/j.chemosphere.2026.145078},
url = {https://doi.org/10.1016/j.chemosphere.2026.145078}
}RIS
TY - JOUR TI - AI-integrated chemosensing platform for sequential nanomolar detection of Fe3+ and arsenic species via smartphone-assisted machine learning toward rapid portable environmental monitoring AU - Upendar Reddy Gandra AU - Harika Reddy Vallapu Reddy AU - Praveen B. Managutti AU - Yarjan Abdul Samad AU - Shadi W. Hasan PY - 2026 JO - Chemosphere DO - 10.1016/j.chemosphere.2026.145078 UR - https://doi.org/10.1016/j.chemosphere.2026.145078 ER -
APA
Gandra, U. R., Reddy, H. R. V., Managutti, P. B., Samad, Y. A., & Hasan, S. W. (2026). AI-integrated chemosensing platform for sequential nanomolar detection of Fe3+ and arsenic species via smartphone-assisted machine learning toward rapid portable environmental monitoring. Chemosphere. https://doi.org/10.1016/j.chemosphere.2026.145078
Source records
- crossref · retrieved 2026-09-26T05:19:51.732Z