Literature DB >> 31062956

Structural Elucidation and Ultrasensitive Analyses of Volatile Organic Compounds by Paper-Based Nano-Optoelectronic Noses.

Mohammad Mahdi Bordbar1, Javad Tashkhourian1, Bahram Hemmateenejad1.   

Abstract

Paper-based optoelectronic noses (OENs) are being developed based on printing of organic and organometallic reagents on hydrophilic substrates that can visualize the odor of volatiles. In this work, we report for the first time the use of nanoparticles for fabrication of novel paper-based OENs, which represent much higher sensitivity and produce simple but discriminant colorimetric signature of volatile metabolomes. This nano-optoelectronic nose (NOEN) system, which is fabricated by dropping of gold and silver nanoparticles (each synthesized by 8 chemical species) on the paper, gives obvious colorimetric signatures for chemicals having individual or combined functional groups. Owning to their ultrasensitivity, these simple devices need very small amounts of analytes. These devices could detect and discriminate 45 volatile organic compounds in 9 chemical families including phenols, alchohols, ketones, aldehydes, amines, acids, esters, arenes, and hydrocarbons. In addition to excellent discrimination ability, this NOEN sensor shows ultrahigh sensitivity such that could determine volatile compounds with detection limits around or lower than 10 ppb. Moreover, it can be combined with multivariate calibration methods for quantitative analysis of a metabolite in a complex mixture.

Entities:  

Keywords:  discrimination; gold nanoparticles; nano-optoelectronic nose; silver nanoparticles; ultrahigh sensitivity; volatile metabolome

Mesh:

Substances:

Year:  2019        PMID: 31062956     DOI: 10.1021/acssensors.9b00680

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  5 in total

1.  A colorimetric electronic tongue for point-of-care detection of COVID-19 using salivary metabolites.

Authors:  Mohammad Mahdi Bordbar; Hosein Samadinia; Azarmidokht Sheini; Jasem Aboonajmi; Hashem Sharghi; Pegah Hashemi; Hosein Khoshsafar; Mostafa Ghanei; Hasan Bagheri
Journal:  Talanta       Date:  2022-05-14       Impact factor: 6.556

2.  Laser-Tunable Printed ZnO Nanoparticles for Paper-Based UV Sensors with Reduced Humidity Interference.

Authors:  Georges Dubourg; Marko Radović; Borislav Vasić
Journal:  Nanomaterials (Basel)       Date:  2021-01-02       Impact factor: 5.076

3.  Mask assistance to colorimetric sniffers for detection of Covid-19 disease using exhaled breath metabolites.

Authors:  Mohammad Mahdi Bordbar; Hosein Samadinia; Ali Hajian; Azarmidokht Sheini; Elham Safaei; Jasem Aboonajmi; Fabiana Arduini; Hashem Sharghi; Pegah Hashemi; Hosein Khoshsafar; Mostafa Ghanei; Hasan Bagheri
Journal:  Sens Actuators B Chem       Date:  2022-07-14       Impact factor: 9.221

4.  Visual diagnosis of COVID-19 disease based on serum metabolites using a paper-based electronic tongue.

Authors:  Mohammad Mahdi Bordbar; Hosein Samadinia; Azarmidokht Sheini; Jasem Aboonajmi; Pegah Hashemi; Hosein Khoshsafar; Raheleh Halabian; Akbar Khanmohammadi; B Fatemeh Nobakht M Gh; Hashem Sharghi; Mostafa Ghanei; Hasan Bagheri
Journal:  Anal Chim Acta       Date:  2022-08-22       Impact factor: 6.911

5.  Non-invasive detection of COVID-19 using a microfluidic-based colorimetric sensor array sensitive to urinary metabolites.

Authors:  Mohammad Mahdi Bordbar; Hosein Samadinia; Azarmidokht Sheini; Jasem Aboonajmi; Mohammad Javid; Hashem Sharghi; Mostafa Ghanei; Hasan Bagheri
Journal:  Mikrochim Acta       Date:  2022-08-05       Impact factor: 6.408

  5 in total

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