scholarly journals Analysis of pathogenic bacteria using exogenous volatile organic compound metabolites and optical sensor detection

RSC Advances ◽  
2015 ◽  
Vol 5 (20) ◽  
pp. 15494-15499 ◽  
Author(s):  
Emma Tait ◽  
Stephen P. Stanforth ◽  
Stephen Reed ◽  
John D. Perry ◽  
John R. Dean

A novel, low-cost and simple method for the detection of pathogenic bacteria is proposed.

Separations ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 64
Author(s):  
Ryan Thompson ◽  
John D. Perry ◽  
Stephen P. Stanforth ◽  
John R. Dean

Development of a rapid approach for universal microbial detection is required in the healthcare, food and environmental sectors to aid with medical intervention, food safety and environmental protection. This research investigates the use of enzymatic hydrolysis of a substrate by a microorganism to generate a volatile organic compound (VOC). One such enzyme activity that can be used in this context is nitroreductase as such activity is prevalent across a range of microorganisms. A study was developed to evaluate a panel of 51 microorganisms of clinical interest for their nitroreductase activity. Two enzyme substrates, nitrobenzene and 1-fluoro-2-nitrobenzene, were evaluated for this purpose with evolution, after incubation, of the VOCs aniline and 2-fluoroaniline, respectively. Detection of the VOCs was done using headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) with obtained limits of quantitation (LOQ) of 0.17 and 0.03 µg/mL for aniline and 2-fluoroaniline, respectively. The results indicated that both enzyme substrates were reduced by the same 84.3% of microorganisms producing the corresponding volatile anilines which were detected using HS-SPME-GC-MS. It was found that nitroreductase activity could be detected after 6–8 h of incubation for the selected pathogenic bacteria investigated. This approach shows promise as a rapid universal microbial detection system.


2012 ◽  
Vol 190-191 ◽  
pp. 1016-1019 ◽  
Author(s):  
Mei Yung Chen ◽  
Hsi Che Chen

To recognize volatile organic compound for colorimetric sensor array which constitute with chemical dyes. The rapid and low cost system can identify dilute compound. Every different compound is presented specified color on the colorimetric sensor array. In this research, we use CCD (charge couple device) to clearly classify the change of color on base, and make sure what the compound would be by Neural Network model. Based on the experimental result, we totally test for 33 group data, and precisely classify all type of volatile organic compound. It’s successfully to achieve the target in this research.


Nanoscale ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 5356-5368
Author(s):  
Kamrul Hassan ◽  
Tran Thanh Tung ◽  
Nathan Stanley ◽  
Pei Lay Yap ◽  
Farzaneh Farivar ◽  
...  

Printed electronic sensors offer a breakthrough in the availability of low-cost devices for improving the quality of human life. Conductive ink is the core of printing technology and is one of the fastest growing ink industries.


2016 ◽  
Vol 15 (3) ◽  
pp. 251-259
Author(s):  
Shreedhar Devkota ◽  
◽  
Jin Oh Jo ◽  
Dong Lyong Jang ◽  
Young Jin Hyun ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document