生物传感器
基质(水族馆)
材料科学
纳米技术
肾上腺素
医学
生物
生态学
麻醉
作者
Jagadeesh Suriyaprakash,Neeraj Gupta,Lijun Wu,Lianwei Shan
标识
DOI:10.1016/j.cej.2022.135254
摘要
Fabrication of a highly efficient all solution/substrate processable neurotransmitter sensor by one-step molecular engineering of a 2D-carbon material and the science behind its action. • All solution/substrate processable biosensor is developed. • A new form of 3D-crumpled porous-sheet structure is prepared. • 3D-crumpled porous-sheet structure act as the molecule capturer-transducer. • Epinephrine is detectable in real samples at 20 pM with rapid readout (2.2 s). • The biosensor has high durability (97%/60 days) and stability (95%/25 cycles). Designing next-generation affordable compact point-of-care (POC) epinephrine biosensors is a significant and challenging issue at the moment. In this context, all solution/substrate processable sensing material is developed by a simple one-step molecular engineering of 2D-reduced graphene oxide (rGO). As a proof-of-concept, a flexible POC device is fabricated which demonstrates a distinct and selective response to epinephrine down to 13/20 pM in the buffer/real sample solution in a wide linear range of 10 -10 -10 -4 M with rapid readout (2.2 s). Systematic experimental and density functional theoretical (DFT) studies are conducted to uncover the underlying reason for the sensor's remarkable performance. It is found that the precise link between the immobilized molecule [ p -aminobenzoic acid (PAB)] and the 2D-rGO basal plane results in a beneficial change in the 2D-topological feature, charge mobility and interlayer chemistry. Besides, the sensing material functions as biomolecule selector, capturer and transducer via strong H-bond interaction and π-π electron coupling/resonance effect, which leads to enhanced sensitivity and specificity. The achievement of this simple yet efficient molecular engineering technique, which can successfully alter the electronic and chemical arrangement of the 2D matrix, opens up a new avenue for the development of various types of flexible and tunable biosensors.
科研通智能强力驱动
Strongly Powered by AbleSci AI