Examination of a new chromatographic function, based on an exponential resolution term, for use in optimization strategies: application to capillary gas chromatography separation of phenols

Chromatographic response functions in 1D and 2D chromatography as tools for assessing chemical complexity

“…It is usually translated into a relationship between the total time of the analysis and the optimal analysis time previously defined. This relationship can be expressed by the absolute value of the difference [9] or the ratio [4] between the two times mentioned above. A more elaborate arrangement was proposed by Divjak et al [10], Equation (1) in Table 1, shows a sigmoidal transformation compressing the time spent in the analysis between a value close to 1, for very short times, and close to 0, for long times.…”

“…These methodologies highlight the importance of each variable and their interactions in the final result, and optimize the combination of parameter settings to achieve the best chromatographic results. The use of these methodologies is recommended, since they determine the optimal conditions with a reduced number of experiments, but, for their use, it is necessary to quantify the quality of each chromatogram [1,4]. One of the most important criteria for measuring the quality of the chromatograms is the degree of separation between peaks.…”

Microemulsion electrokinetic chromatography of drugs varying in charge and hydrophobicity Part II: Strategies for optimization of separation

“…(ii) The chromatographic functions CRF [10][11][12][13], CRS [10,14], CEF [10,15,16], COF [10,17], ATR [18], Rp [19], and r [20] were calculated according to Eq. (5)- (10) within each group and used as a response in MODDE.…”

“…Furthermore, different strategies for optimization of the separation were investigated. The compounds were divided into five subgroups and each group was optimized separately by maximizing the selectivity of the critical peak pair using response surface plots in MODDE, by calculating the chromatographic response function (CRF) [10][11][12][13], chromatographic resolution statistic (CRS) [10,14], chromatographic exponential function (CEF) [10,[15][16], chromatographic optimization function (COF) [10,17], arcs tangens resolution (ATR) [18], resolution product (Rp) [19] and relative resolution product (r) [20], and by using the software DryLab  [21][22][23][24][25][26][27]. CRF, CEF, COF, ATR, and r have all been used for optimization of separation in electrodriven techniques.…”

Experimental design as a tool when evaluating stationary phases for the capillary electrochromatographic separation of basic peptides

“…Many different chromatographic functions have been described in the literature [25][26][27][28][29][30][31][32][33][34], however, only the chromatographic optimisation function, COF, the chromatographic response function, CRF 3 (modified according to [29]), and the resolution product, R p were used here. The chromatographic functions were calculated according to equations (3)-(5):…”