Derivatization-free multi-step extraction for trace haloacetic acids analysis with ion chromatography: Performance and mechanisms

Formulation analysis of functional fragrance via polar-gradient extraction method and chemometrics pattern recognition

In this study, characteristic components of 15 natural flavors was analyzed by the polar-gradient extraction (PGE) technique in combination with GC-MS and chemometrics pattern recognition. The obtained results were utilized for the traceability of 4 functional fragrance formulations. The optimal PGE system consisting of 5 different polar solvents, was developed based on similarity-intermiscibility theory. Four chemometrics pattern recognition models including PCA, HCA, PLS-DA, and OPLS-DA were constructed based on the characteristic component database constituting 15 natural flavors. These models were used to trace 4 functional fragrance formulations. The experimental results obtained were found to be satisfactory and accurate. The combination of PGE technique and chemometric pattern recognition methods provides theoretical guidance for the analysis of characteristic components of natural flavors and the traceability of functional fragrance formulations. This approach can be promoted in various fields such as food, traditional Chinese medicine, and cosmetics.

Towards elevated perfluorooctanoic acid (PFOA) enrichment in water: Sequential liquid-liquid extraction pretreatment for ion chromatography detection

The widespread detection of perfluorooctanoic acid (PFOA) in the environment has raised significant concerns. The standard PFOA analytical method relies on expensive solid-phase extraction (SPE) and liquid chromatography tandem mass spectrometry (LC-MS/MS) instruments, making routine use prohibitive. We herein proposed a cost-effective yet novel enrichment method for determining PFOA at ng L-1 level. This method entailed a two-step sample preparation process: firstly, PFOA was extracted and enriched using a forward-extraction under acidic conditions, followed by a backward-extraction and enrichment step utilizing alkaline water. The enriched samples were subsequently subjected to a common ion chromatography (IC). Results reveal that maintaining a forward-extraction pH below its pKa value (2.8) is essential, as protonated PFOA proves effective in enhancing the enrichment factor (EF). The challenge lied in driving PFOA from forward-extractant to aqueous backward-extractant due to the decreased hydrophobicity of deprotonated PFOA (log Kow2 = 1.0). In addition, we found that evaporating forward-extractant with alkaline backward-extractant (containing 5% methanol) reduced potential analytical uncertainties associated with PFOA evaporation and sorption. Under optimal conditions, the method achieved a detection limit of 9.2 ng L-1 and an impressive EF value of 719. Comparison with SPE-LC-MS/MS confirmed the proposed method as a promising alternative for PFOA determination. Although initially targeted for PFOA, the novel methodology is likely applicable to preconcentration of other poly-fluoroalkyl substances.

Enhanced detection of monoiodoacetic acid at ng/L level by ion chromatography with novel derivatization-free pretreatment

Concerns have recently arisen regarding the formation of carcinogenic and genotoxic iodinated haloacetic acids (HAAs), such as monoiodoacetic acid (MIAA), during the disinfection of iodine-containing water with chloramine. Existing detection methods for MIAA rely on either labor-intensive derivatization operations or expensive instruments, making analysis challenging. To bypass these issues, this study proposed a novel two-step liquid-liquid extraction strategy to enrich MIAA and then pioneered the integration of common ion chromatography (IC) with an ultraviolet detector to measure trace MIAA precisely. This novel approach achieved a remarkable 155.6-fold enrichment of MIAA and significantly reduced the need for water and chemicals, hence enhancing its efficiency and environmental friendliness. Besides, this method effectively removed coexisting anions and separated MIAA from other interferents by adjusting IC column and eluent conditions. The method detection limit of MIAA is an impressive 21.44 ng/L, and the recoveries in synthetic and real water samples ranged from 85 to 113%, with maximum deviations of 7.59%. We validated the reliability of our approach by comparing it with the USEPA 552.3 method. In conclusion, this IC-based method proves to be a robust and environment-benign solution for detecting trace MIAA in complex water components.