disposable sensor
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2022 ◽  
Author(s):  
Balamurugan Arumugam ◽  
Vimalasundari Nagarajan ◽  
Jamespandi Annaraj ◽  
Sayee Kannan Ramaraj

The eminence of water is departed owing to existing the toxic chemicals in ecological water capitals by industrial effluence is a thoughtful staple of anxiety in these days. The electrocatalytic...


Life ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 894
Author(s):  
Sorin Sebastian Gheorghe ◽  
Catalina Cioates Negut ◽  
Marius Badulescu ◽  
Raluca Ioana Stefan-van Staden

A composite material comprised of graphene nanoplatelet and silver particles (GNPs–AgPs) was used for the deposition of GNPs–AgPs’ nanofilms with cold plasma on silk. α-Cyclodextrin was used as a modifier of the active surface of the disposable sensor. The disposable stochastic sensor was used in screening tests for the assay of heregulin-α in whole blood and tissue samples. The disposable stochastic sensor showed a low limit of determination (4.10 fg mL−1) and can be used with high sensitivity on a wide concentration range (4.10 fg mL−1–0.04 µg mL−1). The screening method was validated against ELISA when good correlations (confirmed also by the t-test) were obtained.


2021 ◽  
pp. 113302
Author(s):  
Sathish Panneer Selvam ◽  
Abhijit N. Kadam ◽  
K. Rudharachari Maiyelvaganan ◽  
Muthuramalingam Prakash ◽  
Sungbo Cho

Molecules ◽  
2021 ◽  
Vol 26 (8) ◽  
pp. 2312
Author(s):  
Chutimon Akkapinyo ◽  
Kittitat Subannajui ◽  
Yingyot Poo-arporn ◽  
Rungtiva P. Poo-arporn

A facile synthesis of reduced graphene oxide (rGO) and methionine film modified screen printed carbon electrode (rGO-methionine/SPCE) was proposed as a disposable sensor for determination of food colorants including amaranth, tartrazine, sunset yellow, and carminic acid. The fabrication process can be achieved in only 2 steps including drop-casting of rGO and electropolymerization of poly(L-methionine) film on SPCE. Surface morphology of modified electrode was studied by scanning electron microscopy (SEM). This work showed a successfully developed novel disposable sensor for detection of all 4 dyes as food colorants. The electrochemical behavior of all 4 food colorants were investigated on modified electrodes. The rGO-methionine/SPCE significantly enhanced catalytic activity of all 4 dyes. The pH value and accumulation time were optimized to obtain optimal condition of each colorant. Differential pulse voltammetry (DPV) was used for determination, and two linear detection ranges were observed for each dye. Linear detection ranges were found from 1 to 10 and 10 to 100 µM for amaranth, 1 to 10 and 10 to 85 µM for tartrazine, 1 to 10 and 10 to 50 µM for sunset yellow, and 1 to 20 and 20 to 60 µM for carminic acid. The limit of detection (LOD) was calculated at 57, 41, 48, and 36 nM for amaranth, tartrazine, sunset yellow, and carminic acid, respectively. In addition, the modified sensor also demonstrated high tolerance to interference substances, good repeatability, and high performance for real sample analysis.


2020 ◽  
Vol 165 ◽  
pp. 112333 ◽  
Author(s):  
Mitradip Bhattacharjee ◽  
Sagnik Middya ◽  
Pablo Escobedo ◽  
Joydip Chaudhuri ◽  
Dipankar Bandyopadhyay ◽  
...  

2020 ◽  
Vol 320 ◽  
pp. 128343 ◽  
Author(s):  
Yesim Tugce Yaman ◽  
Oznur Akbal Vural ◽  
Gulcin Bolat ◽  
Serdar Abaci

2020 ◽  
Vol 7 (2) ◽  
pp. 89-97
Author(s):  
Gulcin Bolat ◽  
◽  
Yesim Tugce Yaman ◽  
Ceren Yardimci ◽  
Serdar Abaci ◽  
...  

Author(s):  
Alex Antunes

We profile the utility and limits in deployment of inexpensive disposable sensor networks by amateurs to achieve environmental monitoring goals. Four current technology movements — PC-on-a-chip processors such as Arduino, prebuilt sensors, 3-D printing, and Wi-Fi and mesh networking — enable rapid sensor platform creation and make it easy for non-specialists to create general sensor-bearing platforms. Deployment of a cluster of multiple sensor-bearing platforms is, however, communications-limited in terms of both range and number of devices supported, and generally requires a base station with internet access. We examine how inexpensive technology supports scenarios for short-term environmental modelling by average citizens.


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