The technique has improved considerably since its beginnings. Nowadays, chromatographs are piloted by software programs that run highly efficient miniature columns able to separate nano‐quantities of sample. These instruments comprise a complete range of accessories designed to ensure repeatability of successive experiments by the perfect control of the different parameters of separation. Thus it is possible to obtain, during successive analyses of the same sample conducted several hours apart, recordings that are reproducible to within a second (Figure 1.2).
The specific recording that is obtained for each separation is called a chromatogram. It corresponds to a two‐dimensional diagram that reveals the variations of composition of the eluting mobile phase as it exits the column. To obtain this read‐out, a sensor, or detector, of which there exists a great variety, needs to be placed at the outlet of the column.
Figure 1.2 The principle of analysis by chromatography. The chromatogram, the essential graph of every chromatographic analysis, is obtained from variations, as a function of time, of an electrical signal emitted by the detector. It is either produced in real time or reconstructed at a later time from values that have been digitized and stored. The chromatography software recalculates these values and puts them in the desired format. This chromatogram illustrates the separation of a mixture of three principal components. Note that the order of appearance of the compounds corresponds to the relative position of each constituent on the column.
The identification of a molecular compound from the chromatogram can sometimes be risky. A better method consists in associating two different complementary methods, for example, a chromatograph coupled with a second instrument, such as a mass spectrometer or an infrared spectrometer. These coupled (or two‐dimensional) techniques provide two independent types of information (retention times and the spectrum). Therefore, it is possible to determine without ambiguity the composition of complex mixtures or the concentration of certain compounds on the nanogram level (confirmation analyses).
1.2 THE CHROMATOGRAM
The chromatogram is a curve representing the variation over time of a parameter related to the concentration or quantity of the solute at the column outlet (Figure 1.3). Time (or very rarely the elution volume) is found on the horizontal axis, where the time origin coincides with the introduction of the sample in the injection system. The detector response is found on the vertical axis. The baseline corresponds to the detector response in the absence of any solute. The separation is complete between two compounds when the chromatogram shows two chromatographic peaks that start from and return to the baseline.
Figure 1.3 Chromatographic elution curve. Example of a graph of Eq. (1.1).
A component is characterized by its retention time tR, which represents the time elapsed between sample introduction and the detection of its peak maximum on the chromatogram. In an ideal case, tR is independent of the quantity injected. The longer the retention time, the wider the peak is.
A component that is not retained will elute out of the column at time tM, called the hold‐up time or dead time 1 (also designated t0). The difference between the retention time and the hold‐up is referred to as the adjusted retention time of the compound t’R.
In quantitative analysis, we often simply separate the mixture from the compound(s) to be assayed. If the signal sent by the sensor varies linearly with the concentration of a compound, then the same variation will occur for the area under the corresponding peak on the chromatogram.
1.3 GAUSSIAN PEAKS AND REAL PEAKS
On a chromatogram, the ideal elution peak would have the same form as the graphical representation of the normal distribution of random errors (Gaussian curve). In keeping with the classic notation, μ corresponds to the retention time of the eluting peak and σ to the standard deviation of the peak (σ2 represents the variance). y represents the signal as a function of time x from the detector located at the outlet of the column (Figure 1.4).
This is why ideal elution peak signals of a compound are usually described by the probability density function (Eq. (1.2)).
Equation (1.1) is a mathematical relationship describing a Gaussian function, whatever the x variable. In this expression, σ represents the width unit to describe the peak and μ corresponds to the horizontal axis of the Gaussian curve (in this case, retention time tR). If we make the peak symmetry axis correspond with the new time origin (μ or tR = 0), we obtain Eq. (1.2)).
Figure 1.4 Characteristics of an ideal chromatographic peak. Meaning of the three classic parameters and summary of characteristics of a Gaussian curve.
This function is characterized by a symmetrical curve (maximum at x = 0, y = 0.399) possessing two inflection points at x = ±1 (Figure 1.4), whose y‐value is 0.242 (i.e. 60.6% of the maximum value). The width of the curve at the inflection points is equal to 2σ (σ = 1).
In chromatography, δ represents the full width at half‐maximum (FWHM, δ = 2.35σ) and σ2 the variance of the peak. The width of the peak ‘at the base’ is labelled ω and corresponds to the base of the triangle formed from the tangents to the inflection point I of the Gaussian curve. It is measured at 13.5% of the peak height. At this position, for a Gaussian curve, ω = 4σ