Development and validation of a multi-class analysis of pesticides in corn products by comprehensive two-dimensional liquid chromatography-tandem mass spectrometry

Chromatographic speed classification for liquid chromatography using average theoretical peak time (ATPT)

BACKGROUND

The development of analytical techniques in the field of liquid chromatography has brought new frontiers in performance and analytical speed for the technique. The proper evaluation of the analytical boundaries achieved with those developments was not addressed in the literature, since different liquid chromatography (LC) techniques have not yet received any classification regarding their chromatographic speed. Defining chromatographic analysis speed based simply on analysis time is an outdated concept since it is sample and analyte-dependent. In this context, the application of the Average Theoretical Peak Time concept (ATPT) is proposed as a unified metric for chromatographic speed classification.

RESULTS

This metric was evaluated using PCA analysis in a group of more than 50 publications, which generated the classification of LC methods in normal, high, hyper, and ultra-high-speed separations using ATPT. Normal speed (ATPT values greater than 18000 ms/peak) was found in HPLC, nano-LC, SFC, and CEC methods. Therefore, high-speed methods (ATPT values between 4000 and 18000 ms/peak) were found in UHPLC techniques, while LC × LC methods presented higher ATPT values between 1000 and 4000 ms/peak being classified as hyper-speed separations. ATPT can also be used as an optimization parameter, since older methods show higher ATPT values, while recent published papers show lower values of this metric. This behavior is justified due to the improvement of the LC methods over the years.

SIGNIFICANCE

This work fulfills the gap in chromatographic definitions and metrics, regarding analytical speed in one-dimensional and multidimensional liquid chromatographic techniques and shows that ATPT metrics is a robust parameter that can be used to classify the separation speed as well as a metric to evaluate the LC Method optimization. It also corrects the historical application of separation time as a metric for chromatographic speed.

Simultaneous determination of 27 pesticides in corn and cow matrices by ultra-performance liquid chromatography-tandem mass spectrometry

In this paper, we developed a sensitive UPLC-MS/MS method to determine pesticide residues in plant matrices (corn, fresh corn, fresh corn stover, old corn stover, and corn silage) and animal matrices (beef, fat, milk, milk fat, kidney, liver, and cow stomach) quantitatively. Twenty-seven pesticides were extracted with acetonitrile from all plant and animal matrices separately and purified with a mixture of primary secondary amine (PSA) and graphitized carbon black (GCB) or octadecylsilane (C18). The average recoveries of these compounds ranged from 60.7% to 118.2%, and the relative standard deviations were less than 20.0%. The limit of quantitation for all compounds was 0.01 mg kg-1 (for cyhalothrin and beta cypermethrin the LOQ was 0.02 mg kg-1). The establishment of multi-residue analysis methods for a variety of matrices can be used as a database for future method research. The results of this study are essential for calculating the transfer of pesticide residues from feed to animal products and for monitoring food safety, which will protect people's health and safety.