Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil
Summary
Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil is a scholarly article[1].
Key Facts
Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil. Retrieved May 24, 2026, from https://4ort.xyz/entity/total-synchronous-fluorescence-spectroscopy-coupled-with-deep-learning-to-rapidly-identify-the-authenticity-of-sesame-oi
MLA“Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/total-synchronous-fluorescence-spectroscopy-coupled-with-deep-learning-to-rapidly-identify-the-authenticity-of-sesame-oi.
BibTeX@misc{4ortxyz_total-synchronous-fluorescence-spectroscopy-coupled-with-deep-learning-to-rapidly-identify-the-authenticity-of-sesame-oi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil}}, year = {2026}, url = {https://4ort.xyz/entity/total-synchronous-fluorescence-spectroscopy-coupled-with-deep-learning-to-rapidly-identify-the-authenticity-of-sesame-oi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Total synchronous fluorescence spectroscopy coupled with deep learning to rapidly identify the authenticity of sesame oil — https://4ort.xyz/entity/total-synchronous-fluorescence-spectroscopy-coupled-with-deep-learning-to-rapidly-identify-the-authenticity-of-sesame-oi (retrieved 2026-05-24)