PC software-based portable cyclic voltammetry system with PB-MCNT-GNPs-modified electrodes for E. coli detection

Abstract

PC software-based portable cyclic voltammetry (PCV) systems have the advantages of portability, high performance, and real-time detection. In this paper, the PCV system used cyclic voltammetry (CV) as the main detection and analysis method and contained the following components: a three-electrode unit, a portable potentiostat, and PC software. The PC software was used as the system control and display, and a dynamic peak position adjustment (DPPA) algorithm for E. coli measurements based on thick biofilm modification on electrodes was designed especially for this system to realize the real-time correspondence between the measured results and the modified electrodes. The performance test results obtained by setting different detection parameters in the PCV system were compared with those of commercial electrochemical workstations. The difference was less than 4.99%, with a relative standard deviation less than 0.20%. An electrochemical biosensor based on a Prussian blue-multiwalled carbon nanotube-gold nanoparticle composite was developed for E. coli detection. After constructing an antibody-BSA-E. coli electrode modification on the sensor, experimental data processed by the DPPA algorithm showed that the logarithm (lg DfE.coli) of the E. coli dilution factor and the peak current response had a linear relationship. The PCV system could quickly and accurately detect E. coli concentrations with dynamic adjustment algorithms for biofilm-modified electrodes. Furthermore, the system could detect the electrochemical activities of various high-sensitivity biomolecules, showing great detection potential for on-site monitoring and meeting the requirements of real-time and portable detection in various food safety fields.

RNN Language Processing Model-Driven Spoken Dialogue System Modeling Method

“…The main function of SLU is to analyze sentences' input by users, extract semantic information, and obtain semantic representation. For the whole SDS, the key parts are SLU and dialogue management part [ 28 ]. Research shows that deep learning can extract high-level features from shallow features because of its special hierarchical structure.…”

Emerging Roles of Microrobots for Enhancing the Sensitivity of Biosensors

“…The electrochemical detection reads the current signal generated by the redox reaction of the analyte on the electrode to obtain the concentration of the analyte [51,119]. As one of the most important methods in electroanalytical chemistry, cyclic voltammetry (CV) is often applied in electrochemical current detections [46,[120][121][122][123][124][125][126][127][128][129][130][131]. For example, the electrochemical sensing strategy reported by Sheng et al for H 2 O 2 concentration measurement followed this basic principle [126], of which the working electrode was modified with Ni-doped Ag@C (Ni/Ag@C) nanocomposites (Figure 4A).…”

Sensing beyond Senses: An Overview of Outstanding Strides in Architecting Nanopolymer-Enabled Sensors for Biomedical Applications

“…Further, the standard spiking methodology confirmed the applicability of the designed system in a complicated matrix through paired sample t -test yielding p > 0.05. Similar advancements in detecting and monitoring E. coli onsite has been devised using a Prussian blue suspended multiwall carbon nanotube embedded with a gold nanoparticle [ 47 ] system used for modifying the electrode and generate the cyclic voltamograms. Interestingly, the study adopts portable PC software that transmits data with commands via Bluetooth, performs operations on real time data through charting cyclic voltamograms, and references curves with an excellent linearity.…”