Department of Physical Sciences, MacEwan University, Edmonton, ABT5J4S2, Canada.
Department of Physical Sciences, MacEwan University, Edmonton, ABT5J4S2, Canada.
Anal Chim Acta. 2023 Oct 16;1278:341714. doi: 10.1016/j.aca.2023.341714. Epub 2023 Aug 18.
This study presents a novel approach to the detection of epinephrine, lactate, and cortisol biomarkers in human sweat using molecularly-imprinted polymers (MIP) embedded screen printed carbon electrode (SPCE) sensors. The epinephrine and lactate MIP SPCE sensors were fabricated by epinephrine or lactate-imprinted polyaniline co-polymerized with 3-aminophenylboronic acid and gold nanoparticles (PANI-co-PBA/AuNP) selective membrane on a commercial SPCE. The cortisol sensor was comprised of a cortisol-imprinted poly(glycidyl methacryate-co-ethylene glycol dimethacrylate) (poly (GMA-co-EGDMA)@AuNP selective membrane deposited on a SPCE. Both cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were used as modes of analysis for the MIP SPCE sensors. All sensors exhibited a rapid (∼1 min) and selective response to the epinephrine, lactate, and cortisol target analytes, with excellent precision between scans for both CV and DPV analysis modes. For CV, the LOD for epinephrine, lactate, and cortisol was 8.2 nM, 13 mM, and 0.042 μM, respectively. The LOD for DPV were 0.60 nM, 2.2 mM, and 0.025 μM for epinephrine, lactate, and cortisol, respectively. The MIP SPCE sensor platforms were further validated through the successful quantification of epinephrine, lactate, and cortisol in human sweat.
本研究提出了一种使用分子印迹聚合物(MIP)嵌入丝网印刷碳电极(SPCE)传感器检测人汗中肾上腺素、乳酸和皮质醇生物标志物的新方法。通过将肾上腺素或乳酸印迹的聚苯胺与 3-氨基苯硼酸和金纳米粒子(PANI-co-PBA/AuNP)共聚,在商业 SPCE 上制备肾上腺素和乳酸 MIP SPCE 传感器。皮质醇传感器由沉积在 SPCE 上的皮质醇印迹聚(甲基丙烯酸缩水甘油酯-co-乙二醇二甲基丙烯酸酯)(poly (GMA-co-EGDMA)@AuNP 选择性膜组成。循环伏安法(CV)和差分脉冲伏安法(DPV)均被用作 MIP SPCE 传感器的分析模式。所有传感器对肾上腺素、乳酸和皮质醇目标分析物均表现出快速(约 1 分钟)和选择性响应,CV 和 DPV 分析模式下的扫描间具有出色的精密度。对于 CV,肾上腺素、乳酸和皮质醇的检出限分别为 8.2 nM、13 mM 和 0.042 μM。对于 DPV,肾上腺素、乳酸和皮质醇的检出限分别为 0.60 nM、2.2 mM 和 0.025 μM。通过成功定量人汗中的肾上腺素、乳酸和皮质醇,进一步验证了 MIP SPCE 传感器平台。