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Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure
Research article (Food Chemistry, 2022) · cited 30× · AI/ML
Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure
Summary
Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure is a scholarly article[1].
Key Facts
Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure. Retrieved May 24, 2026, from https://4ort.xyz/entity/combining-untargeted-profiling-of-phenolics-and-sterols-supervised-multivariate-class-modelling-and-artificial-neural-ne
MLA“Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combining-untargeted-profiling-of-phenolics-and-sterols-supervised-multivariate-class-modelling-and-artificial-neural-ne.
BibTeX@misc{4ortxyz_combining-untargeted-profiling-of-phenolics-and-sterols-supervised-multivariate-class-modelling-and-artificial-neural-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure}}, year = {2026}, url = {https://4ort.xyz/entity/combining-untargeted-profiling-of-phenolics-and-sterols-supervised-multivariate-class-modelling-and-artificial-neural-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Combining untargeted profiling of phenolics and sterols, supervised multivariate class modelling and artificial neural networks for the origin and authenticity of extra-virgin olive oil: A case study on Taggiasca Ligure — https://4ort.xyz/entity/combining-untargeted-profiling-of-phenolics-and-sterols-supervised-multivariate-class-modelling-and-artificial-neural-ne (retrieved 2026-05-24)