Home ›
Entities
› academia
› Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose
Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose
Research article (Food Control, 2021) · cited 50× · AI/ML
Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose
Summary
Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose is a scholarly article[1].
Key Facts
Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose'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). Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-soft-refined-oils-in-extra-virgin-olive-oil-using-data-fusion-approaches-for-lc-ms-gc-ims-and-fgc-enose-tec
MLA“Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-soft-refined-oils-in-extra-virgin-olive-oil-using-data-fusion-approaches-for-lc-ms-gc-ims-and-fgc-enose-tec.
BibTeX@misc{4ortxyz_detection-of-soft-refined-oils-in-extra-virgin-olive-oil-using-data-fusion-approaches-for-lc-ms-gc-ims-and-fgc-enose-tec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-soft-refined-oils-in-extra-virgin-olive-oil-using-data-fusion-approaches-for-lc-ms-gc-ims-and-fgc-enose-tec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose — https://4ort.xyz/entity/detection-of-soft-refined-oils-in-extra-virgin-olive-oil-using-data-fusion-approaches-for-lc-ms-gc-ims-and-fgc-enose-tec (retrieved 2026-05-24)