Joe Davis | Chemistry and Biochemistry| SIU

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Joe Davis

Research Professor

Joe Davis

My work addresses the development and computation of theory in analytical separations.  Many efforts are collaborative.  Current interests include statistics and two-dimensional separations.

Education

B.S., Duke University
Ph.D., University of Utah
Postdoctoral Fellow, University of Texas at Austin

Selected Publications

Davis, J.M.; Arriaga, E.A.  “Evaluation of Peak Overlap in Migration-Time Distributions Determined by Organelle Capillary Electrophoresis:  Type-II Error Analogy Based on Statistical-Overlap Theory”, J. Chromatogr. A 2009, 1216, 6335-6342.

 Davis, J.M.; Arriaga, E.A.  “Prediction of Migration-time and Mobility Distributions in Organelle Capillary Electrophoresis with Statistical-Overlap Theory”, Anal. Chem. 2010, 82, 307-315. 

Davis, J.M.  “Dependence on Effective Saturation of Numbers of Singlet Peaks in One- and Two-Dimensional Separations”, Talanta 2011, 83, 1068-1073. 

Davis, J.M.; Rutan, S.C.; Carr, P.W.  “Relationship between Selectivity and Average Resolution in Comprehensive Two-Dimensional Separations with Spectroscopic Detection”, J. Chromatogr. A 2011, 1218, 5819-5828. 

Davis, J.M.  “Computation of Distribution of Minimum Resolution for Log-Normal Distribution of Chromatographic Peak Heights”, J. Chromatogr. A. 2011, 1218, 7841-7849. 

Schure, M.R.; Davis, J.M.  “The Statistical Overlap Theory of Chromatography Using Power Law (Fractal) Statistics”, J. Chromatogr. A 2011, 1218, 9297-9306. 

Carr, P.W.; Davis, J.M.; Rutan, S.C.; Stoll, D.R.  “Principles of Online Comprehensive Multidimensional Liquid Chromatography”.  In Advances in Chromatography, Vol. 50 (pp. 139 – 235), E. Grushka and N. Grinberg, Eds., CRC Press, Taylor & Francis Group, Boca Raton, 2012. 

Davis, J.M.  “New Theory for Distribution of Minimum Resolution in Multi-Component Separations with Noise/Detection Limits”, J. Chromatogr. A 2012, 1251, 1-9.

 Rutan, S.C.; Davis, J.M.; Carr, P.W.  “Fractional Coverage Metrics Based on Ecological Home Range for Calculation of the Effective Peak Capacity in Comprehensive Two-Dimensional Separations”, J. Chromatogr. A 2012, 1255, 267-276.

 Davis, J.M.; Stoll, D.R.  “Likelihood of Total Resolution in Liquid Chromatography:  Evaluation of One-Dimensional, Comprehensive Two-Dimensional, and Selective Comprehensive Two-Dimensional Liquid Chromatography”, J. Chromatogr. A 2014, 1360, 128-142.

 Schure, M.R.; Davis, J.M.  “The Simple Use of Statistical Overlap Theory in Chromatography”, LC-GC North America, Special issue: Recent Developments in HPLC and UHPLC, 2015, Apr 1, Vol. 33, 14-18.

 Schure, M.R.; Davis, J.M.  “Orthogonal Separations:  Comparison of Orthogonality Metrics by Statistical Analysis”, J. Chromatogr. A 2015, 1414, 60-76.

 Schure, M.R.; Davis, J.M.  “Orthogonality Measurements for Multidimensional Chromatography in Three and Higher Dimensional Separations, J. Chromatogr. A 2017, 1523, 148-161.

 Davis, J.M.; Schure, M.R.  “Is the Number of Peaks in a Chromatogram Always Less Than the Peak Capacity?  A Study in Memory of Eli Grushka”, In Advances in Chromatography, Vol. 55 (pp. 87 - 104), N. Grinberg and P.W. Carr, Eds., CRC Press, Taylor & Francis Group, Boca Raton, 2018.

 Davis, J.M.; Stoll, D.R.  “Likelihood of Total Resolution in Selective Comprehensive Two-Dimensional Liquid Chromatography with Parallel Processing:  Simulation and Theory”, J. Chromatogr. A 2018, 1537, 43-57.