Prediction of Retention Time and Collision Cross Section (CCS <sub>H+</sub> , CCS <sub>H–</sub> , and CCS <sub>Na+</sub> ) of Emerging Contaminants Using Multiple Adaptive Regression Splines

Alberto Celma, Richard Bade, Juan V. Sancho, Félix Hernández, Melissa Humphries, Lubertus Bijlsma

Journal of Chemical Information and Modeling · 2022 · 31 citations · 45 references

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Abstract

= 0.954) with deviation below ±5.25% for 95% of the cases. The developed models have been incorporated in an open-access and user-friendly online platform which represents a great advantage for third-party research laboratories for predicting both RT and CCS data.

References

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