Abstract
In this work, we reported a wireless network composed of silver film-based graphene oxide-fluorescence resonance energy transfer (GO-FRET) lysozyme aptasensor nodes. At the sensor node level, we optimized silver substrate structure, concentrations of the aptamers, and graphene oxide and tested lysozyme detection performance with a model analyte. At the network level, we analyzed the complexity and transmission success rate using fractal measurements. We implemented the wireless network composed of the aptasensor with a portable Wi-Fi fluorescent reader. Transmission success rate testing results show that an increase in node hops can promote the rate of transmission success dramatically. When the hop count is larger than 6, the rate of transmission success can reach more than 90% if the transmission failure probability and sleep probability are 0.1 and 0.5, respectively.
Highlights
Lysozyme is an antimicrobial enzyme widely found in diverse organisms
Because its concentration in body fluids rises dramatically owing to types of diseases such as AIDS, cancer, and Alzheimer’s disease, lysozyme can be used as a biomarker candidate of the diseases in early diagnosis and point of care testing (POCT) [3,4,5]
To optimize the thickness of gold and silver films in the plain silver SEF structure, i.e., a chromium adhesion layer, gold adhesion enhancing layer, silver film, polymer buffer layer, and analyte layer, on the glass substrate from bottom to top, the propagation depth of electromagnetic waves in the analyte layer was calculated according to the Fresnel equation, as shown in Figure 3(a). e results show that the above performance parameters get the optimal values at the thickness of 2 nm for the gold adhesion enhancing layer and Optimization of silver structure parameters
Summary
Lysozyme is an antimicrobial enzyme widely found in diverse organisms. Besides the well-known bacteriolytic activity, lysozyme possesses an antiproliferative effect against cancer and lung fibroblasts [1, 2]. Because its concentration in body fluids rises dramatically owing to types of diseases such as AIDS, cancer, and Alzheimer’s disease, lysozyme can be used as a biomarker candidate of the diseases in early diagnosis and point of care testing (POCT) [3,4,5]. To achieve accurate concentration measurements in POCT applications, lysozyme-sensing devices are required to satisfy the following needs. Lysozyme sensors based on different detection techniques, such as chromatography, immunoassay, electrochemical analysis, and optical methods, have been reported in the last decades [6,7,8,9]. Loncaric reported a USB-based electrochemical lysozyme sensor, which was composed of a potentiostat and I/V converter, an analog/digital converter, and a microcontroller unit [3]
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