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
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Intelligent quantitative recognition of sulfide using machine learning-based ratiometric fluorescence probe of metal-organic framework UiO-66-NH2/Ppix

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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].

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APA 4ort.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}}
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