No abstract

A new enzymeless glucose sensor has been fabricated and its electrocatalytic oxidation has been investigated in alkaline medium directly on the Pt Electrode modified by Activated carbon nanotubes @ graphene oxide/ nickel hydroxide-Nafion hybrid composite (Pt\ACNT@GO\NHNPs\Nf). Under the optimized condition, the calibration curve is linear in the concentration range of 5-1100 µM using cyclic voltammetric method. The detection limit and sensitivity are 0.75 µM and 40 nA, respectively. The glucose sensor can be renewed easily in a reproducible manner by a simple polishing step and it has a long operational lifetime and short response time t90% < 1 s. In addition, the fabrication of Pt with nafion and nickel hydroxide powder was employed to eliminate the interference of ascorbic acid during the catalytic oxidation of glucose. The biosensor was used for determination of glucose in human blood serum and the oxidant with satisfactory results.

This article focuses on increasing the accuracy of Directional-of-Arrival (DOA) estimation by synthesizing the Conformal Uniform Circular Array (CUCA) and uses the Rank Reduction (RARE) algorithm to minimize the mutual coupling and shadowing impacts on the array performance. After separating the azimuthal angles from all of the unknown information by transforming the CUCA from the element space to the mode space, the RARE algorithm is applied in the estimated azimuthal angles. Also, the ambiguous values of π exist in the RARE algorithm are solved by forming the CUCA beam pattern. Due to the fact that the accurate measuring or estimating the mutual coupling and shadowing effects are difficult, one of the most important achievements of this work is that there is no need to measure the mutual coupling and shadow effect. Also, the CUCA aperture is not reduced compared to use the subarray methods as another advantage. The simulation results significantly confirm the presented method's benefits.