Carboxymethylcellulose/Hydrotalcite Bionanocomposites as Paraben Sorbents.
Daniel CosanoDolores EsquivelFrancisco José Romero-SalgueroCésar Jiménez-SanchidriánJosé Rafael RuizPublished in: Langmuir : the ACS journal of surfaces and colloids (2023)
In this work, we synthesized several bionanocomposites of hydrotalcites containing carboxymethylcellulose as interlayer anion (HT-CMC) to be used as sorbents for parabens, a family of emergent pollutants (specifically, for 4-methyl - , 4-propyl - and 4-benzylparaben). Bionanocomposites were obtained by ultrasound-assisted coprecipitation and characterized by X-ray diffraction analysis, fourier transform infrared and raman spectroscopies, elemental and thermogravimetric analysis, scanning and transmission electron microscopies and X-ray fluorescence. All materials proved to be efficient sorbents for parabens through a process conforming to a pseudo second-order kinetics. The experimental adsorption data fitted the Freundlich model very closely and were also highly correlated with the Temkin model. The effects of pH, adsorbate concentration, amount of sorbent and temperature on the adsorption process was evaluated, obtaining the best results for methylparaben adsorption at pH 7, 25 mg of adsorbent and 348 K. The sorbent, HT-CMC-3, showed the highest adsorption capacity (>70%) for methylparaben. Furthermore, a reusability study showed that the bionanocomposite is reusable after its regeneration with methanol. The sorbent still retained its adsorption capacity for up to 5 times with a little loss of efficiency (<5%).
Keyphrases
- solid phase extraction
- aqueous solution
- electron microscopy
- molecularly imprinted
- high resolution
- stem cells
- liquid chromatography
- gas chromatography
- simultaneous determination
- tandem mass spectrometry
- mass spectrometry
- magnetic resonance
- big data
- electronic health record
- single molecule
- ionic liquid
- artificial intelligence
- metal organic framework
- machine learning
- solar cells
- deep learning
- heavy metals