Synthesis, characterization of MOF NiCoZn-LDH@GO on carbon cloth as sensitive and novel nanocomposite applied to electrospun nanofibers network as thin-film microextraction sorbent for detection trace amount of opioid and analgesic drugs from biological fluids.

Today, the widespread use of opioid and analgesic drugs (OAs) has caused global concern due to their addictive properties and side effects. Therefore, in this study, polyvinyl alcohol (PVA)/poly acrylic acid (PAA)/MOF NiCoZn-LDH@graphene oxide (GO) electrospun nanofiber was synthesized and employed as an effective and novel sorbent at thin-film microextraction (TF-μSPE) method for the fast and simultaneous extraction of seven opioid and analgesic drugs in human biological fluids (plasma, urine) before performing quantitative analysis by high-pressure liquid chromatography (HPLC-UV) device. This new nano-absorbent was characterized by energy dispersive X-ray spectrometer (EDX), X-ray photoelectron spectroscope (XPS), Fourier transforms infrared spectrometer (FT-IR), field emission scanning electron microscopy (FE-SEM), X-ray diffraction analysis (XRD), and nitrogen absorption-desorption analysis (BET). The combination of MOF NiCoZn-LDH@GO with a highly porous structure and rich functional groups in the PVA/PAA substrate casing significantly improves the absorption properties of the nanofibers. In other words, the existence, of MOF NiCoZn-LDH@GO composite in the polymer network PVA/PAA causes an increase in the extraction efficiency of the electrospinning adsorbent due to the creation of hydrogen bonds and π-π interactions with the intended analytes. Various effective factors in the extraction efficiency of the desired analytes were optimized using a one-variable-at-a-time method. Under the optimum conditions, the linearity dynamic range was achieved in the range of 0.3-1000.0 for caffeine, naloxone, noscapine, and celecoxib, and 0.5-1000.0 μg L ^-1 for tramadol, codeine, and hydrocodone with correlation coefficients ≥0.999. The lowest detection limit (LODs) and the lowest quantitative limit (LOQs) of the TF-μSPE method were obtained in the range of (0.1-0.15) and (0.3-0.5), respectively.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)