A computer-generated plan to develop an intelligent biosensor for investigation of the inhibition of renin by aliskiren: A journey from inhibition to biosensing

IF 5.4 Q1 CHEMISTRY, ANALYTICAL
Ali R. Jalalvand , Zahra Feyzi , Soheila Mohammadi , Cyrus Jalili , Sajad Fakhri , Maziar Farshadnia
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引用次数: 0

Abstract

For the first time, a novel electrochemical biosensor was fabricated based on modification of a rotating glassy carbon electrode with multi-walled carbon nanotubes-ionic liquid, and molecularly imprinted polymers (MIPs) in which renin (Rn), and aliskiren (AK) were used as templates. By immersion the biosensor in Rn, AK, and their binary system (AK-Rn) solutions, the species (Rn, AK, and AK-Rn) were entrapped within the pathways of the MIPs. These processes and investigation of the inhibition of the Rn by AK helped us to obtain higher electrochemical signals for a good monitorization of the system. The effects of experimental parameters on response of the biosensor to AK were optimized by a small central composite design to obtain the highest response. Hydrodynamic cyclic voltametric (HCV), hydrodynamic differential pulse voltammetric (HDPV), and hydrodynamic linear sweep voltammetric (HLSV) data obtained and recorded in order to be analyzed by classical methods and multivariate curve resolution-alternating least squares (MCR-ALS) as an advanced chemometric method. The results of molecular dockings, classical and chemometric analyses confirmed that the Rn was strongly inhibited by the AK which was good evidence to develop a novel biosensing system for determination of Rn. A novel biosensor was developed for determination of the Rn which had an acceptable performance in determination of Rn in the range of 0–9 fM. This approach opened a new way for investigation of enzymes' inhibition, and developing a new generation of electrochemical biosensors for medical and biomedical applications.

开发智能生物传感器的计算机生成计划,用于研究阿利吉仑对肾素的抑制作用:从抑制到生物传感的历程
研究人员首次利用多壁碳纳米管-离子液体和分子印迹聚合物(MIPs)对旋转玻璃碳电极进行改性,以肾素(Rn)和阿利吉仑(AK)为模板,制造出一种新型电化学生物传感器。将生物传感器浸入 Rn、AK 和它们的二元系统(AK-Rn)溶液中,物种(Rn、AK 和 AK-Rn)被夹带在 MIPs 的通路中。这些过程以及 AK 对 Rn 的抑制作用有助于我们获得更高的电化学信号,从而对系统进行良好的监测。实验参数对生物传感器对 AK 响应的影响通过小型中心复合设计进行了优化,以获得最高响应。获得并记录了流体动力循环伏安法(HCV)、流体动力差分脉冲伏安法(HDPV)和流体动力线性扫描伏安法(HLSV)的数据,以便用经典方法和多元曲线解析-交替最小二乘法(MCR-ALS)这种先进的化学计量学方法进行分析。分子对接、经典分析和化学计量分析的结果都证实了 AK 对 Rn 的强烈抑制作用,这为开发一种新型生物传感系统来测定 Rn 提供了很好的证据。为测定 Rn 开发的新型生物传感器在测定 0-9 fM 范围内的 Rn 时具有可接受的性能。这种方法为研究酶的抑制作用开辟了一条新途径,并为医疗和生物医学应用开发了新一代电化学生物传感器。
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来源期刊
Sensing and Bio-Sensing Research
Sensing and Bio-Sensing Research Engineering-Electrical and Electronic Engineering
CiteScore
10.70
自引率
3.80%
发文量
68
审稿时长
87 days
期刊介绍: Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies. The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.
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