Home ›
Entities
› academia
› Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix
Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix
Research article (Journal of Hazardous Materials, 2023) · cited 32× · AI/ML
Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix
Summary
Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix is a scholarly article[1].
Key Facts
Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix. Retrieved May 24, 2026, from https://4ort.xyz/entity/intelligent-quantitative-recognition-of-sulfide-using-machine-learning-based-ratiometric-fluorescence-probe-of-metal-org
MLA“Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intelligent-quantitative-recognition-of-sulfide-using-machine-learning-based-ratiometric-fluorescence-probe-of-metal-org.
BibTeX@misc{4ortxyz_intelligent-quantitative-recognition-of-sulfide-using-machine-learning-based-ratiometric-fluorescence-probe-of-metal-org_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix}}, year = {2026}, url = {https://4ort.xyz/entity/intelligent-quantitative-recognition-of-sulfide-using-machine-learning-based-ratiometric-fluorescence-probe-of-metal-org}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix — https://4ort.xyz/entity/intelligent-quantitative-recognition-of-sulfide-using-machine-learning-based-ratiometric-fluorescence-probe-of-metal-org (retrieved 2026-05-24)