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Green Synthesis of Molecularly Imprinted Polymers for Selective Extraction of Protocatechuic Acid from Mango Juice.
Zhang, Liping; Song, Xin; Dong, Yuxiao; Zhao, Xiyan.
Affiliation
  • Zhang L; School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471000, China.
  • Song X; School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471000, China.
  • Dong Y; School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471000, China.
  • Zhao X; School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471000, China.
Foods ; 13(18)2024 Sep 18.
Article in En | MEDLINE | ID: mdl-39335883
ABSTRACT
A novel and environmentally friendly molecularly imprinted polymer (PCA-MIP) was successfully synthesized in an aqueous solution for the selective extraction of protocatechuic acid (PCA). In this study, a deep eutectic solvent (DES, choline chloride/methacrylic acid, 12, mol/mol) and chitosan were employed as the eco-friendly functional monomers. These two components interacted with PCA through hydrogen bonding, integrating a multitude of recognition sites within the PCA-MIP. Thus, the resulting PCA-MIP exhibited outstanding adsorption performance, rapid adsorption rate, and better selectivity, with a maximum binding capacity of 30.56 mg/g and an equilibrium time of 30 min. The scanning electron microscope (SEM) and Brunauer-Emmett-Teller (BET) analyses revealed that the synthesized polymers possessed a uniform morphology and substantial surface areas, which were conducive to their adsorption properties. Moreover, the PCA-MIP integrated with HPLC demonstrated its efficacy as an adsorbent for the selective extraction of PCA from mango juice. The PCA-MIP presented itself as an exemplary adsorbent, offering a highly effective and eco-friendly method for the enrichment of PCA from complex matrices.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Foods Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Foods Year: 2024 Document type: Article Affiliation country: China Country of publication: Switzerland