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Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model
Research article (Journal of Chromatography A, 2018) · cited 61× · AI/ML
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model
Summary
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model is a scholarly article[1].
Key Facts
Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/retention-prediction-in-reversed-phase-high-performance-liquid-chromatography-using-quantitative-structure-retention-rel
MLA“Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retention-prediction-in-reversed-phase-high-performance-liquid-chromatography-using-quantitative-structure-retention-rel.
BibTeX@misc{4ortxyz_retention-prediction-in-reversed-phase-high-performance-liquid-chromatography-using-quantitative-structure-retention-rel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model}}, year = {2026}, url = {https://4ort.xyz/entity/retention-prediction-in-reversed-phase-high-performance-liquid-chromatography-using-quantitative-structure-retention-rel}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Retention prediction in reversed phase high performance liquid chromatography using quantitative structure-retention relationships applied to the Hydrophobic Subtraction Model — https://4ort.xyz/entity/retention-prediction-in-reversed-phase-high-performance-liquid-chromatography-using-quantitative-structure-retention-rel (retrieved 2026-05-24)
