Reports: UR550594-UR5: Fundamental Studies of Diffusion and Retention on Porous Polymer Monolith Stationary Phases Used in Capillary Electrochromatography

Michelle Marie Bushey, Trinity University

We investigate organic porous polymer monoliths (PPMs) used for capillary electrochromatography. These phases are different from traditional silica based reversed phase stationary phases. We study fundamental properties of PPMs so that better phases can be developed and so that these phases, and by comparison traditional phases, can be better understood. We investigate the analyte, mobile phase, and stationary phase interactions through a series of experiments that probe the thermodynamics of retention and the relationship between analyte diffusion and retention. Our primary focus has been on lauryl acrylate. Mobile phases are mixtures of acetonitrile and aqueous buffers.

The diffusion – retention relationship has been described by eq. (1), first proposed by Knox (J. Chromatogra. 282 (1983) 297-313) where Deff is the effective diffusion coefficient of the analyte in the presence of the stationary phase, gm is the column obstruction factor, Dm is the diffusion coefficient of the analyte in the mobile phase, k is the retention factor, and gsDs is the kinetic parameter, which is the obstruction factor and analyte diffusion coefficient within the stationary phase.

Deff = (gmDm + kgsDs)/(1+k)     (1)                (1+k) Deff /Dm = gm +  kgsDs/Dm                              (2)

A simple rearrangement is shown as eq. (2). This indicates that a plot of the parameters on the left versus the retention factor should yield a straight line where the slope provides the kinetic parameter and the intercept is the obstruction factor. All literature reports to date have shown negative deviations. No linear results have been presented. Our data shows a linear fit. Using the peak parking method we have used phenol as a test compound to verify our procedures for measuring diffusion coefficients. We have repeated our data set on three separate polymer batches. The data shown in Fig. 1 is an average all three data sets. Now that three replicate data sets have been obtained, a manuscript is being drafted for submission.

The explanation for the linear fit is that these polymers have a relative lack of mesopores as indicated by a very low internal porosity. The total porosity measurement of 0.85 is consistent with literature values for silica monoliths and the external porosity is 0.83 is high compared to other phases. This is due to the internal porosity measurement of 0.12, which is well below the typical reported values of 0.4-0.5 for traditional and silica monoliths.

The thermodynamics of retention are also investigated. The relationship between retention and temperature is described by the vant Hoff equation, eq (3).

ln k = DHo/RT – DSo/R + F                (3)

The enthalpy and entropy of retention can both be obtained if the phase ratio (F) is determined. Our value of phase ratio is 0.305. Furthermore, we have found the phase ratio to be constant across the temperature range of interest. The studies of the thermodynamics of retention have been completed for a temperature range of 30-65 degrees on three polymer batches for two different mobile phases. Studies on a third mobile phase have been completed on one polymer batch. The results the enthalpy of retention are shown in Table 1 for the three mobile phases. Retention increases as the enthalpy becomes more negative.

The data for the entropy of retention is shown in Table 2. It is interesting to note that for the mobile phase of 75% acetonitrile and 25% aqueous buffer, as well as for 65% acetonitrile and 35% aqueous buffer, the retention is clearly enthapically driven since the entropy becomes increasingly more negative as compounds become increasingly hydrophobic and retention increases. This is not the case if the amount of acetonitrile is decreased to 55%. In this case the entropy becomes more positive as retention increases. This interesting result is being studied further by examining the retention – temperature relationship with other mobile phases.

Trinity University has recently acquired a scanning electron microscope. Some images of polymers have been obtained and we are comparing the dimensions and feature of polymer prepared in different manners. For instance we are comparing the structural features of polymers prepared with and without electroosmotic flow carriers so that the separation performance characteristics of these polymers can be correlated with the structural features. An example image is provided in Fig. 2.

During the past grant year, ten individual students have participated. ACS-PRF has supported two of these students with summer stipends in 2014, others were supported by other funding mechanisms or conducted research during the academic year for course credit. Three former undergraduates are in graduate school (Chemistry or other STEM), one is employed as a chemistry lab technician, one is employed overseas, one is in pharmacy school, one has entered the army, one plans to study patent law. Eight others have yet to graduate.

Students gave presentations at the 247th ACS national meeting in 2014 and at Pittcon 2014. Additional presentation abstracts have been submitted for spring 2015 meetings. An invited talk was presented at the Latin American Capillary Electrophoresis Symposium in Lima, Peru in Nov. 2013. In March of 2014, the PI received the 2014 Distinguished Scientist Award from the Texas Academy of Sciences.

Figure 1. Knox plot with three replicate polymer batches.

Figure 2. SEM of Lauryl acrylate polymer. Gold coated

Table 1. Enthalpy of Retention

ΔH (kJ/mol)

75% ACN: 25% Tris base

65% ACN: 35% Tris base

55% ACN: 45% Tris base

Toluene

-3.9 (0.5)

-4.3 (0.3)

-5.5

Ethyl Benzene

-4.5 (0.5)

-4.8 (0.3)

-6.0

Propyl Benzene

-5.5 (0.6)

-5.6 (0.3)

-6.8

Butyl Benzene

-6.6 (0.6)

-6.6 (0.3)

-7.7

Amyl Benzene

-7.7 (0.6)

-7.5 (0.4)

-8.6

Table 2. Entropy of Retention

ΔS (J/mol K)

75% ACN: 25% Tris base

65% ACN: 35% Tris base

55% ACN: 45% Tris base

Toluene

-3.6

1.0

6.1

Ethyl Benzene

-3.4

2.1

7.8

Propyl Benzene

-4.1

2.5

8.8

Butyl Benzene

-4.6

2.6

9.7

Amyl Benzene

-5.9

2.7

10.5