Nanopore-Based Electrodes for Quinotrione Detection: Host–Guest-Induced Electrochemical Signal Switching

With the increasing importance of healthcare and clinical diagnosis, as well as the growing demand for highly sensitive analytical instruments, immunosensors have received considerable attention. In this review, electrochemical immunosensor signal amplification strategies using metal nanoparticles (MNPs) and quantum dots (Qdots) as tags are overviewed, focusing on recent developments in the ultrasensitive detection of biomarkers. MNPs and Qdots can be used separately or in combination with other nanostructures, while performing the function of nanocarriers, electroactive labels, or catalysts. Thus, different functions of MNPs and Qdots as well as recent advances in electrochemical signal amplification are discussed. Additionally, the methods most often used for antibody immobilization on nanoparticles, immunoassay formats, and electrochemical methods for indirect biomarker detection are overviewed.

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Enzyme-induced Cu2+/Cu+ conversion as the electrochemical signal for sensitive detection of ethyl carbamate

Analytica Chimica Acta ◽

10.1016/j.aca.2021.338256 ◽

2021 ◽

Vol 1151 ◽

pp. 338256

Author(s):

Long Wu ◽

Yasheng Wang ◽

Shuhong Zhou ◽

Yongheng Zhu ◽

Xiaoqiang Chen

Keyword(s):

Ethyl Carbamate ◽

Sensitive Detection ◽

Electrochemical Signal

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Amplified inhibition of the electrochemical signal of graphene–thionine nanocomposites using silica nanoprobes for ultrasensitive electrochemical immunoassays

Analytical Methods ◽

10.1039/c4ay00020j ◽

2014 ◽

Vol 6 (7) ◽

pp. 2080-2085 ◽

Cited By ~ 10

Author(s):

Guosong Lai ◽

Cuiying Yin ◽

Xiangen Tan ◽

Haili Zhang ◽

Aimin Yu

Keyword(s):

Electrochemical Signal ◽

Electrochemical Immunoassays

The amplified inhibition of the electrochemical signal of graphene–thionine nanocomposites using silica nanoprobes enabled a novel ultrasensitive immunoassay method.

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FPGA Realization of the Reconfigurable Mesh Counting Algorithm

Journal of Circuits System and Computers ◽

10.1142/s0218126621501577 ◽

2021 ◽

pp. 2150157

Author(s):

Yosi Ben-Asher ◽

Esti Stein ◽

Vladislav Tartakovsky

Keyword(s):

Lower Bound ◽

Neural Nets ◽

Processing Elements ◽

Large Numbers ◽

Unrealistic Assumption ◽

Reconfigurable Mesh ◽

Speed Up ◽

Optimal Tree ◽

Pass Transistor ◽

Signal Switching

Pass transistor logic (PTL) is a circuit design technique wherein transistors are used as switches. The reconfigurable mesh (RM) is a model that exploits the power of PTLs signal switching, by enabling flexible bus connections in a grid of processing elements containing switches. RM algorithms have theoretical results proving that [Formula: see text] can speed up computations significantly. However, the RM assumes that the latency of broadcasting a signal through [Formula: see text] switches (bus length) is 1. This is an unrealistic assumption preventing physical realizations of the RM. We propose the restricted-RM (RRM) wherein the bus lengths are restricted to [Formula: see text], [Formula: see text]. We show that counting the number of 1-bits in an input of [Formula: see text] bits can be done in [Formula: see text] steps for [Formula: see text] by an [Formula: see text] RRM. An almost matching lower bound is presented, using a technique which adds to the few existing lower-bound techniques in this area. Finally, the algorithm was directly coded over an FPGA, outperforming an optimal tree of adders. This work presents an alternative way of counting, which is fundamental for summing, beating regular Boolean circuits for large numbers, where summing a vast amount of numbers is the basis of any accelerator in embedded systems such as neural-nets and streaming. a

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