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Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography
Research article (Electrophoresis, 2019) · cited 12× · AI/ML
Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography
Summary
Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography is a scholarly article[1].
Key Facts
Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography. Retrieved May 24, 2026, from https://4ort.xyz/entity/retention-prediction-using-quantitative-structureretention-relationships-combined-with-the-hydrophobic-subtraction-model
MLA“Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/retention-prediction-using-quantitative-structureretention-relationships-combined-with-the-hydrophobic-subtraction-model.
BibTeX@misc{4ortxyz_retention-prediction-using-quantitative-structureretention-relationships-combined-with-the-hydrophobic-subtraction-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography}}, year = {2026}, url = {https://4ort.xyz/entity/retention-prediction-using-quantitative-structureretention-relationships-combined-with-the-hydrophobic-subtraction-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Retention prediction using quantitative structure‐retention relationships combined with the hydrophobic subtraction model in reversed‐phase liquid chromatography — https://4ort.xyz/entity/retention-prediction-using-quantitative-structureretention-relationships-combined-with-the-hydrophobic-subtraction-model (retrieved 2026-05-24)
