Using a change-point model to describe temporal bitter relationships among hop-derived compounds |
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| Authors: | A. Fritsch A. Gitelman T.H. Shellhammer |
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| Affiliation: | 1. School of Natural Sciences, Griffith University, Nathan campus, Queensland, Australia;2. Institute for Glycomics, Griffith University, Gold Coast campus, Queensland, Australia;3. School of Medical Science, Griffith University, Gold Coast campus, Queensland, Australia;4. Queensland Health Forensic and Scientific Services, Coopers Plains, Queensland, Australia;1. School of Natural Sciences, Griffith University, Nathan campus, Queensland, Australia;2. Institute for Glycomics, Griffith University, Gold Coast campus, Queensland, Australia;3. School of Medical Science, Griffith University, Gold Coast campus, Queensland, Australia;4. Queensland Health Forensic and Scientific Services, Coopers Plains, Queensland, Australia;1. Department of Computer Science and Information Engineering, National Quemoy University, Kinmen, Taiwan, ROCn;2. Department of Computer Science and Information Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan, ROCn |
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| Abstract: | The bitterness of four hop-derived compounds was measured over a range of concentrations using a time–intensity protocol to determine temporal bitterness relationships. Bitter attributes were compared among compounds by applying a three parameter, change-point model to all concentration-dependent attributes whereby α represented the bitter parameter’s magnitude at very low compound concentrations up to a change-point concentration, θ, and β represented the log-linear concentration dependency of the bitter parameter above the change-point concentration, θ. Panelist reliability was determined by evaluating how well their data fit the model parameters as determined via a t-statistic. Analysis of variance of the concentration-dependent parameters, maximum intensity, duration, area-under-curve, and, decreasing area, identified differences among compounds. In the case of panelist × compound interactions, within-panelist analysis of change-point parameters yielded panel-wise relationships not initially detected. |
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