Distributed Consensus Kalman Filter Design with Dual Energy-Saving Strategy: Event-Triggered Schedule and Topological Transformation.

In the distributed information fusion of wireless sensor networks (WSNs), the filtering accuracy is commonly negatively correlated with energy consumption. Therefore, a class of distributed consensus Kalman filters was designed to balance the contradiction between them in this paper. Firstly, an event-triggered schedule was designed based on historical data within a timeliness window. Furthermore, considering the relationship between energy consumption and communication distance, a topological transformation schedule with energy-saving is proposed. The energy-saving distributed consensus Kalman filter with a dual event-driven (or event-triggered) strategy is proposed by combining the above two schedules. The sufficient condition of stability for the filter is given by the second Lyapunov stability theory. Finally, the effectiveness of the proposed filter was verified by a simulation.

Reduced graphene oxide-supported gold dendrite for electrochemical sensing of acetaminophen.

A new nanocomposite was developed based on reduced graphene oxide (RGO) supported gold dendrite and applied for amperometric detection of acetaminophen. The RGO-gold dendrite composite was prepared by self-assembly of poly (diallyldimethylammonium chloride) (PDDA) functionalized gold dendrite and poly (sodium 4-styrenesulfonate) (PSS) functionalized RGO. The composite electrode material was characterized by Scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDS), Ultraviolet-vis spectroscopy (UV), X-ray diffraction (XRD), Raman spectroscopy and X-ray photoelectron spectroscopy (XPS). The RGO-gold dendrite composite exhibited enhanced conductivity, catalytic activity and stability for acetaminophen oxidation and determination. The RGO-gold dendrite based electrochemical sensor is competent for detecting acetaminophen with a linear range from 0.07 µM to 3000 µM with a detection limit of 0.005 µM (S/N = 3). Moreover, the sensor was applied for the detection of acetaminophen in tablets and urine samples, which holds great promise in pharmaceutical analysis.

Poly(3,6-diamino-9-ethylcarbazole) based molecularly imprinted polymer sensor for ultra-sensitive and selective detection of 17-ß-estradiol in biological fluids.

In this work, we reported the synthesis of 3, 6-diamino-9-ethylcarbazole and its application as a new monomer for preparation of molecularly imprinted polymer (MIP) electrochemical sensor. The as prepared MIP sensor exhibited ultrahigh sensitivity and selectivity for the detection of 17-ß-estradiol in attomolar levels (1 × 10-18molL-1). The sensor works by detecting the change of the interfacial impedance that is derived from recognition of 17-ß-estradiol on the MIP layer. The MIP sensor based on 3, 6-diamino-9-ethylcarbazole monomer revealed better performance than that of unmodified carbazole monomer. The monomer/template ratio, electropolymerization scanning cycles, and the incubation pH values were optimised in order to obtain the best detection efficiency. Under the optimised condition, the MIP sensor exhibits a wide linear range from 1aM to 10µM (1 × 10-18 ̶ 1 × 10-5molL-1). A low detection limit of 0.36aM (3.6 × 10-19molL-1) and a good selectivity towards structurally similar compounds were obtained. The proposed MIP sensor also exhibits long-term stability and applicability in human serum samples. These advantages enabled this MIP sensor to be a promising alternative of electrochemical sensor and may be extended to detection of other endogenous compounds.