Molecularly imprinted polyvinylbenzoic acid based sensor for highly sensitive detection of acute lymphoblastic leukemia biomarker
摘要
According to data from the World Health Organization, acute lymphoblastic leukemia (ALL) constitutes approximately 80% of leukemia cases in pediatric populations and 20% in adults. The diagnosis of leukemia is predominantly established via hematological analyses and bone marrow biopsies; however, these diagnostic approaches present several inherent limitations and challenges. This study, a novel electrochemical sensor modified with a molecularly imprinted polymer (MIP) for the highly sensitive and selective detection of phosphoenolpyruvate (PEP), a clinically relevant biomarker, with the goal of facilitating early and straightforward diagnosis of acute lymphoblastic leukemia (ALL). A PEP-specific molecularly imprinted polymer (MIP) sensor was fabricated via a UV-induced photopolymerization process, employing p-vinylbenzoic acid (VBA) as the functional monomer and ethylene glycol dimethacrylate (EGDMA) as the cross-linking agent. The resulting polymer was subsequently immobilized onto a glassy carbon electrode (GCE). The developed sensor, that was PEP/VBA@MIP-GCE, demonstrated remarkable sensitivity, achieving a limit of detection (LOD) and limit of quantification (LOQ) of 2.24 × 10–13 M—6.80 × 10–13 M in standard solutions and 1.56 × 10–13 M—4.72 × 10–13 M in commercial human serum. Furthermore, the sensor exhibited a linear response within the concentration range of 1.0 × 10⁻12 M to 1.0 × 10⁻11 M. Additionally, high recovery values of 100.36% and 100.97% obtained from commercial human serum samples support the reliability of the sensor. The sensor exhibited a selective analytical performance in the presence of potential interfering substances, underscoring its precision (RSD%: 0.153–1.648) and accuracy (RSD%: 0.048–0.877). This work proposes a novel and first implementation of electrochemical sensing platforms incorporating a molecularly imprinted polymer (MIP) for the detection of PEP, offering a low-cost and efficient strategy suitable for clinical diagnostic applications and pharmaceutical analysis.
Graphical Abstract