Variance
The variance of a chromatographic peak is a measure of its dispersion (peak spreading). Due to the processes that cause peak dispersion being random in nature, the elution curve takes the form of a Gaussian function (and error function). The standard deviation of the Gaussian peak is equal to half the peak width measured at 0.6065 of the peak height. The variance of the peak is equal to the square of the standard deviation. The ultimate dispersion of a solute peak is the result of a number of individual dispersion processes that take place inside and outside the column. Quantitatively, the dispersion of the final peak in a chromatogram is the result of the combination of the effect of all these dispersion processes. Each dispersion process, being random, would produce a respective Gaussian profile of concentration versus time. Unfortunately, the dispersion of the final peak can not be obtained by adding the standard deviations resulting from all the individual dispersion processes. The variance of the final peak, however, can be obtained by adding the variances of all the individual dispersion process. Thus, by developing functions for the variances of each of the dispersion processes, they can be summed to produce an expression for the total variance of the eluted peak. The theory that achieves this is called the Rate Theory and the equation for the variance per unit length of a column, so produced, is called the HETP equation.
Author: RPW Scott
Book:Preparative Chromatography
Section:Preparative Maximum-Sample
usual
dispersion processes that take place in the column to provide a value for the
ultimate peak variance. Consequently, if the column efficiency is not to be
seriously reduced the maximum volume of sample that can be placed on the column
must be limited.
Consider a
volume (Vi) of sample, injected onto a column. This sample volume
will constitute a rectangular distribution on the front of the column. Now, (as
discussed in
Dispersion in Chromatography Columns
of this series) the variance of the peak eluted from the
column will be the sum of the variances of the injected sample plus the normal
variance of the eluted peak.
Thus:
where s2
is the variance of the eluted peak,
si2
is the variance of the eluted sample,
and sc2
is the variance due to column dispersion.
The maximum
increase in band width that can be accepted due to any (and all) extraneous
Preparative Maximum-Sample
Author: RPW Scott
Book:Extra Column Dispersion
Section:EC-Dispersion Maximum-Permissible
that can be placed on the column and thus, the ultimate
sensitivity of the analysis.
Now, summing
the variances
where ()
is the overall variance of the eluted peak,
()
is the variance of the sample volume,
and ()
is the variance due to column dispersion.
It has been
established that the variance of a rectangular distribution of sample
volume (Vi) will be . It can again be assumed that the peak variance can be
increased by 10% as a result of extra column dispersion without seriously
denigrating column performance. Unfortunately, all the permitted extra
column dispersion can not be assigned to the effect of a finite sample volume
as some must be allocated to other dispersion sources. As an arbitrary judgment
half of the permissible extension of peak width will be allotted to the effect
of the sample volume (i.e., the variance can be increased by 5 %). This
is a variable proportion as it
EC-Dispersion Maximum-Permissible
Author: RPW Scott
Book:Dispersion in Chromatography Columns
Section:Dispersion Alternative-Axes
a variance ,
Hence,
where,
()
is the variance of the solute band as sensed by the detector.
The above
equation is the algebraic enunciation of the principle of the summation of
variances and is fundamentally important. If the individual dispersion
processes that are taking place in a column can be identified, and an
expression for the variance arising from each dispersion process evaluated,
then the variance of the final band can be calculated from the sum of all the
individual variances. This is how the Rate Theory provides an equation for the
final variance of the peak leaving the column.
The Alternative Axes of a Chromatogram
An elution
curve of a chromatogram can be expressed using parameters other than the volume
flow of mobile phase as the independent variable. The Plate theory provides
an equation that expresses
Dispersion Alternative-Axes
Author: RPW Scott
Book:Plate Theory and Extensions
Section:Plate-Theory Maximum-Sample-Volume
extra column dispersion (except for
that from the finite sample volume), will be considered negligible. It is
now possible to apply the principle of the summation of variances to the effect
of sample volume.
Thus,
s2 = si2 + sc2
where (s2)
is the overall variance of the eluted peak,
(si2)
is the variance of the sample volume,
and (sc2)
is the variance due to column dispersion
Plate-Theory Maximum-Sample-Volume
Author: RPW Scott
Book:Dispersion in Chromatography Columns
Section:Dispersion Random-Walk-Model
To develop an
HETP equation it is necessary to first identify the dispersion processes that
occur in a column and then determine the variance that will result from
each process per unit length of column. The sum of all these variances will be
(H), the Height of the Theoretical Plate, or the total variance per unit column
length. There are a number of methods used to arrive at an expression for the
variance resulting from each dispersion process and these can be obtained from
the various references provided. However, as an example, the Random-Walk Model
introduced by Giddings (3) will be employed here to illustrate the
Dispersion Random-Walk-Model
Author: RPW Scott
Book:Extra Column Dispersion
Section:EC-Dispersion Maximum-Permissible
Maximum Permissible Extra Column Dispersion
The total
variance of an eluted peak ()will be the sum of the variance due to column
dispersion () and the variance from extra column dispersion ().
Thus,
Now, the
maximum increase in peak variance from extra column dispersion that can be
tolerated while not significantly effecting the resolution is 10 %. This value
was suggested by Klinkenberg (3) in 1960 and has been accepted as the criteria
for extra column dispersion since that time
EC-Dispersion Maximum-Permissible