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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
Biomass cellulose-supported CuO-based molecularly imprinted photoelectrochemical sensing platform for highly
Wenqing Zhang1, Sitong Huang1, Jia Sun1
1School of Chemistry and Chemical Engineering, Central South University of Forestry and Technology, Changsha, 410004, PR China.
Abstract:
The presence of lincomycin (LIN) residues in animal-derived foods presents a potential threat to human health. A sensitive photoelectrochemical (PEC) sensor was developed for LIN detection using a water bamboo cellulose-supported copper oxide (CuO@WBC) composite as photoactive substrate. CuO particles with visible-light PEC activity were uniformly anchored onto the cellulose framework to form a stable and improved photoactive layer. A molecularly imprinted polymer (MIP) with tailored binding sites was further constructed on the electrode surface to achieve selective recognition of LIN. A wide linear detection range spanning 0.1 nM to 100 μM was achieved, and the limit of detection was 36 pM. Selectivity tests demonstrate good anti-interference against food matrix interferents, while control experiments verify the necessity of molecular imprinted cavities for specific LIN recognition. The fabricated MIP-PEC sensor achieves reliable practical detection, offering a novel sensitive and eco-friendly strategy for antibiotic residue assay in food samples.

