Many analytical methods are based on liquid chromatography and typically th
e only measure of system stability is standards, injected repeatedly throug
hout the sequence. In this paper, a novel approach is presented, where the
analytical run is treated as a process with the chromatographic data as the
product. It is postulated that enhanced quality of the data can be obtaine
d through monitoring the process, i.e., the chromatographic system, during
the sequence. For this purpose, a liquid chromatography process control (LC
PC) system has been developed. Here, several parameters, e.g., the pressure
at the column and the injection valve, are monitored. Chemometrics is used
for interpreting the data and producing multivariate statistical process c
ontrol (MSPC) charts. The chromatographic run is divided into two parts: th
e dynamic injection phase and the static elution phase. Two principal compo
nent analysis (PCA) models, one for each phase, are continuously created an
d upgraded as the data are collected. The results of the PCA are shown in t
he MSPC charts, and when an error detection limit is exceeded, the analyst
is promptly notified. LCPC, a continuous system suitability test, provides
better control of the analysis, allowing a reduction in the number of stand
ards and replicates. Furthermore, troubleshooting is facilitated.