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HF-MMLLE USING NATURAL DEEP EUTECTIC SOLVENTS FOR DETERMINATION OF POTENTIAL LUNG CANCER BIOMARKERS IN URINE
Amanda Vitória Santos1, Camila Will1, Francielle Crocetta Turazzi2
1Chemistry Department, Federal University of Santa Catarina (UFSC), Eng. Agronômico Andrei Cristian Ferreira, s/n, Florianópolis, SC 88040-900, Brazil.
Abstract:
This work expands the use of a natural deep eutectic solvent (NADES) as an alternative extractor solvent for organic solvents. Hollow fiber-microporous membrane liquid-liquid extraction (HF-MMLLE) coupled to the 96-well plate system was employed for the determination of hexanal and heptanal in urine samples. The NADES used as the extractor solvent consisted of dodecanoic acid:hexanoic acid (1:3, molar ratio). Method optimization was carried out using univariate and multivariate approaches. Extractions were performed for 60 min, followed by 30 min of derivatization reaction with 2,4-dinitrophenylhydrazine (DNPH) and buffer solution in 1:30 molar ratio (aldehyde:DNPH). The sample pH was maintained at 6.0. Desorption was performed using a mixture of acetonitrile:methanol (1:1, v/v) for 5 min. The method achieved an average throughput of approximately 1 min preparation time per sample, considering the parallel processing of 96 samples. The analytical parameters were evaluated through calibration curves with coefficients of determination (R2) of 0.9973 for hexanal and 0.9935 for heptanal. The limits of quantification (LOQ) were 100 μg L-1 for hexanal and heptanal. Intraday and interday precision ranged from 9% to 20% and 15% to 22%, respectively. The relative recovery varied from 61.8% to 118.6%. The proposed method integrates the advantages of NADES with membrane-based extraction, resulting in a more sustainable, low-solvent and high-throughput analytical strategy for the determination of biomarkers of aldehydes in urine. The implementation of a 96-well plate configuration enables the simultaneous processing of multiple samples, improving analytical sample throughput and operational efficiency.

