Abstract

Asymmetric flow field flow fractionation (AF4) in particular online with elemental detection via inductively coupled plasma mass spectrometry (ICP-MS) has been developed as powerful and flexible separation technique for suspensions of nano- and micro-particles covering a broad range of applications including environmental water samples and soil extracts. However, for challenging applications, such as particulate phosphorus determination in non-contaminated water samples at levels close to the limit of detection the throughput of the analytical field flow fractionation (FFF) is not sufficient. The same holds true for more specific identification and quantification of black carbon (BC) which needs a subsequent complex multi-step analysis using the well-established benzene polycarboxylic acids (BPCA) method.To overcome these limitations, the performance of a commercially available preparative AF4 channel, which has rarely been applied, yet, was investigated in this study. Using the example of an extract from charcoal spiked soil, method development for the preparative channel was performed and the results from six replicate fractionations with multi-element online detection by ICP-MS were compared to the results from the analytical channel for the same extracts. A similar fractionation pattern was achieved and the quantitative results agreed well for most of the particulate fractions (ratio 1.7 with standard deviation (SD) 0.2 for fraction 1, ratio 0.81 with SD 0.14 for fraction 2 and ratio 1.1 with SD 0.2 for fraction 3). Relative standard deviations were in the range of 9% to 18% for the preparative channel and between 3% and 17% for the analytical channel. Transferability of the separation parameters between both channels is discussed as well as the operational challenges of the preparative channel. As proof of principle, preparative fractionation of an extract from charcoal spiked soil was performed with fraction collection and subsequent quantification of BC via the BPCA method including derivatization, cation exchange pre-cleaning and finally gas chromatographic separation and quantification via flame ionization detection. The results indicated the majority of detected BC in the often so-called dissolved fraction was bound to nanoparticles (48%) and colloids (27%). Only 25% was detected in the cross flow (truly dissolved fraction). This successful example opens new possibilities for hyphenation of FFF separation with multiple detection techniques for improved characterization of particulate matter in challenging applications.

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