A high-throughput sample preparation approach for the determination of nonsteroidal anti-inflammatory drugs in urine samples through membrane-based microextraction employing a green supramolecular solvent

• Hollow-fiber microporous membrane liquid-liquid extraction associated with 96-well plate system is proposed. • A supramolecular solvent was used as green extraction phase. • High sample throughput was achieved with this workflow. • Determination of six NSAID in urine was successfully performed. Nonsteroidal anti-inflammatory drugs (NSAIDs) are a class of drugs with antipyretic, analgesic, and anti-inflammatory effects widely used worldwide. This study aimed at developing an environmentally friendly and high-throughput sample preparation method for the determination of six NSAIDs in urine samples followed by high-performance liquid chromatography coupled to diode-array detection (HPLC-DAD). The experimental workflow consisted of hollow-fiber microporous membrane liquid-liquid extraction (HF-MMLLE) using a supramolecular solvent immobilized into the porous of polypropylene hollow membranes (1 cm length). These membranes were attached to a 96-well plate system to permit multiple extractions simultaneously. Under the optimized conditions, limits of detection (LODs) and limits of quantification (LOQs) ranged from 6.06 to 30.3 µg/L and from 20 to 100 µg/L, respectively. The linear ranges varied from 20 to 1000 µg/L for indomethacin and diclofenac, from 50 to 1000 µg/L for ketoprofen and ibuprofen, and from 100 to 1000 µg/L for naproxen and fenoprofen. The coefficients of determination (R²) ranged from 0.9735 to 0.9997. Intraday precision ranged from 6.13 to 20.11 %, interday precision varied from 2.87 to 20.72 %, and accuracy ranged from 92.49 to 126.89 %. Moreover, the recently proposed Sample Preparation Metric of Sustainability (SPMS) was employed to evaluate the greenness of the sample preparation technique resulting in a score of 8.0, which is highly satisfactory according to the concepts of green analytical chemistry.