纳米材料
纳米技术
石墨烯
适体
爆炸物
分析物
材料科学
电催化剂
爆炸物探测
电化学
电极
化学
有机化学
色谱法
生物
物理化学
遗传学
作者
Reşat Apak,Ayşem Üzer,Şener Sağlam,Aysu Arman
标识
DOI:10.1002/elan.202200175
摘要
Abstract Explosive detection technologies play a critical role in maintaining national security, remain an active research field with many devices and analytical/electroanalytical techniques. Analytical chemistry needs for homeland defense against terrorism make it clear that real‐time and on‐site detection of explosives and chemical warfare agents (CWAs) are in urgent demand. Thus, current detection techniques for explosives have to be improved in terms of sensitivity and selectivity, opening the way to electrochemical devices suitable to obtain the targeted analytical information in a simpler, cheaper and faster way. For the electrochemical determination of energetic substances, a large number of sensor electrodes have been presented in literature using different modification materials, especially displaying higher selectivity with molecularly imprinted polymers (MIPs). MIPs have already been utilized for the detection of hazardous materials due to their mechanical strength, flexibility, long‐time storage and low cost. The sensitivity of MIP‐based electrosensors can be enhanced by coupling with nanomaterials such as graphene oxide (GOx), carbon nanotubes (CNTs), or nanoparticles (NPs). Specific characteristics of involved nanomaterials, their modification, detection mechanism, and other analytical aspects are discussed in detail. Non‐MIP electrosensors are generally functionalized with materials capable of charge transfer, H‐bonding or electrostatic interactions with analytes for pre‐concentration and electrocatalysis on their surface, whereas nanobio‐electrosensors use analyte‐selective aptamers having specific sequences of DNA, peptides or proteins to change the potential or current. This review intends to provide a combination of information related to MIPs and nanomaterial‐based electrochemical sensors, limited to the most significant and illustrative work recently published.
科研通智能强力驱动
Strongly Powered by AbleSci AI