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Volumn 758, Issue , 2013, Pages 36-44
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New approaches based on modified Gaussian models for the prediction of chromatographic peaks
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Author keywords
Liquid chromatography; Modified Gaussian models; Peak halfwidths; Peak prediction; Peak profile
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Indexed keywords
CHROMATOGRAPHIC PEAKS;
GAUSSIANS;
HALFWIDTHS;
HIGH FLEXIBILITY;
INITIAL VALUES;
LORENTZIAN FUNCTIONS;
MODEL PARAMETERS;
MODIFIED GAUSSIAN MODELS;
OPTIMISATIONS;
PEAK HEIGHT;
PEAK PROFILES;
SEMI-EMPIRICAL APPROACH;
STANDARD DEVIATION;
FORECASTING;
LIQUID CHROMATOGRAPHY;
OPTIMIZATION;
GAUSSIAN DISTRIBUTION;
ACEBUTOLOL;
ALPRENOLOL;
ACCURACY;
ALGORITHM;
ANALYTICAL ERROR;
ARTICLE;
CALCULATION;
CHROMATOGRAPHY;
CONTROLLED STUDY;
FLOW RATE;
PARABOLIC LORENTZIAN MODIFIED GAUSSIAN MODEL;
PH;
PREDICTION;
PRIORITY JOURNAL;
PROCESS DEVELOPMENT;
PROCESS OPTIMIZATION;
REACTION TIME;
STATISTICAL MODEL;
TEMPERATURE SENSITIVITY;
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EID: 84870855705
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2012.10.035 Document Type: Article |
Times cited : (15)
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References (30)
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