Molecularly-imprinted polymer based on graphene oxide functionalized pencil graphite electrode for cholesterol detection

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Fera Ayu Dianovita , Elly Septia Yulianti , Siti Hanafiah , Siti Fauziyah Rahman
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Abstract

Cholesterol plays a vital role in biological functions that must be maintained at a normal level of < 5.2 mmol/L to prevent hypercholesterolemia, leading to cardiovascular diseases. This research examines a molecularly-imprinted polymer (MIP) based biosensor using a pencil graphite electrode (PGE) modified graphene oxide (GO) for the sensitive, selective, and stable detection of cholesterol with a simple approach using the electropolymerization process. The imprinted poly[2-(dimethylamino) ethyl methacrylate] (poly[DMAEMA]) layers on PGE/GO surface exhibit strong electrochemical responses during cholesterol detection through the formation of cholesterol-specific recognition cavities that were formed to mimic the cholesterol’s structures, allowing non-enzymatic detection. Through the optimization of the parameters during electropolymerization, including the ratio of template molecule concentration to monomer, polymerization and template removal cycles, scan rate, rebinding duration, and pH, the sensor demonstrated satisfactory performance. With the limit of detection (LOD) of 0.85 mM, limit of quantification (LOQ) of 2.85 mM, a linear range of 1–6 mM, and sensitivity of 40.52 μA.μM⁻¹ .cm⁻², the sensor offered good electrochemical performance and selectivity towards cholesterol, despite the presence of other interference molecules. The current stability percentage on the tenth day was 85.52 %, which indicates good stability of the sensor modification and indicates potential for repeated cholesterol sensing for further point-of-care testing (POCT) application.
基于氧化石墨烯功能化铅笔石墨电极的分子印迹聚合物用于胆固醇检测
胆固醇在生物功能中起着至关重要的作用,必须维持在<; 5.2 mmol/L的正常水平,才能预防导致心血管疾病的高胆固醇血症。本研究研究了一种基于分子印迹聚合物(MIP)的生物传感器,该传感器使用铅笔石墨电极(PGE)修饰氧化石墨烯(GO),通过电聚合过程的简单方法对胆固醇进行敏感、选择性和稳定的检测。PGE/GO表面的印迹聚[2-(二甲氨基)甲基丙烯酸乙酯](聚[DMAEMA])层在胆固醇检测过程中表现出强烈的电化学反应,通过形成胆固醇特异性识别空腔来模拟胆固醇的结构,从而实现非酶检测。通过对电聚合过程中模板分子浓度与单体之比、聚合与模板去除周期、扫描速率、重结合时间、pH等参数的优化,传感器表现出满意的性能。检测限(LOD)为0.85 mM,定量限(LOQ)为2.85 mM,线性范围为1 ~ 6 mM,灵敏度为40.52 μA.μM⁻¹ 。Cm - 2,尽管存在其他干扰分子,该传感器对胆固醇具有良好的电化学性能和选择性。第10天的当前稳定百分比为85.52 %,这表明传感器修改的稳定性良好,并表明在进一步的点护理测试(POCT)应用中重复检测胆固醇的潜力。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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