Gas Sensors Based on Molecular Imprinting Technology

Zhang, Yumin; Zhang, Jin; Liu, Qingju

doi:10.3390/s17071567

Cited by 44 publications

(38 citation statements)

References 53 publications

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“…MIP technique has been used for developing sensors with predetermined selectivity toward target molecules in gas phase. MIPs possesses many excellent characteristics such as low cost and easy synthesis, high stability under various physical and chemical conditions, and also reusability .…”

Section: Introductionmentioning

confidence: 99%

Polyvinyl Alcohol/Polypyrrole/Molecularly Imprinted Polymer Nanocomposite as Highly Selective Chemiresistor Sensor for 2,4‐DNT Vapor Recognition

Koudehi

Pourmortazavi

2018

Electroanalysis

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In this research, a chemiresistor sensor coated with the polyvinyl alcohol/polypyrrole/molecularly imprinted polymer (PVA/PPy/MIP) nanocomposite was designed and fabricated to detect the vapor of 2,4‐DNT as a nitroaromatic explosive material. The molecularly imprinted polymer was composed of molecular nanoparticles containing cavities compatible with DNT; while, the nanoparticles were synthesized using PVA and glutaraldehyde as functionalized polymer and cross‐linking agent, respectively. Composition and chemical properties of the synthesized MIP and PPy nanoparticles were investigated using scanning electron microscopy (SEM), infrared Fourier transform spectroscopy (ATR‐FTIR), and X‐ray diffraction (XRD) analyses. Results indicated that the nanoparticles of polypyrrole and the synthesized MIP have an average particle sizes of 56 nm and 45 nm, respectively. Afterwards, sensor surface was coated by a thin layer of nanocomposite composed of PVA, the PPy and MIP nanoparticles. The prepared sensors were calibrated and performance‐tested in a static setup. The developed sensor was used to measure different concentrations (0.1–150 ppm) of the explosive vapor. The coated sensor presented a linear range of response within the concentration range of 0.1–70 ppm. Also, selectivity tests were carried out in the presence of DNT and vapor of other organic matters and the results indicated that the designed sensor possesses high sensitivity and selectivity toward DNT.

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Section: Introductionmentioning

confidence: 99%

Polyvinyl Alcohol/Polypyrrole/Molecularly Imprinted Polymer Nanocomposite as Highly Selective Chemiresistor Sensor for 2,4‐DNT Vapor Recognition

Koudehi

Pourmortazavi

2018

Electroanalysis

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“…However, as some of these are emitted in low amounts, this will require the development of highly sensitive captors [39]. In this case, it could be interesting to consider the development of an electronic sensor, making the detection of productive strains in silos possible quickly and without any sample preparation [10,24,50]. The essential parameters such as selectivity and sensitivity for their design must also be taken into account [50][51][52].…”

Section: Potential Mvocs Markersmentioning

confidence: 99%

Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1

Josselin

Clerck

Boevre

et al. 2021

Toxins

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Aspergillus flavus is a phytopathogenic fungus able to produce aflatoxin B1 (AFB1), a carcinogenic mycotoxin that can contaminate several crops and food commodities. In A. flavus, two different kinds of strains can co-exist: toxigenic and non-toxigenic strains. Microbial-derived volatile organic compounds (mVOCs) emitted by toxigenic and non-toxigenic strains of A. flavus were analyzed by solid phase microextraction (SPME) coupled with gas chromatography–mass spectrometry (GC-MS) in a time-lapse experiment after inoculation. Among the 84 mVOCs emitted, 44 were previously listed in the scientific literature as specific to A. flavus, namely alcohols (2-methylbutan-1-ol, 3-methylbutan-1-ol, 2-methylpropan-1-ol), aldehydes (2-methylbutanal, 3-methylbutanal), hydrocarbons (toluene, styrene), furans (2,5-dimethylfuran), esters (ethyl 2-methylpropanoate, ethyl 2-methylbutyrate), and terpenes (epizonaren, trans-caryophyllene, valencene, α-copaene, β-himachalene, γ-cadinene, γ-muurolene, δ-cadinene). For the first time, other identified volatile compounds such as α-cadinol, cis-muurola-3,5-diene, α-isocomene, and β-selinene were identified as new mVOCs specific to the toxigenic A. flavus strain. Partial Least Square Analysis (PLSDA) showed a distinct pattern between mVOCs emitted by toxigenic and non-toxigenic A. flavus strains, mostly linked to the diversity of terpenes emitted by the toxigenic strains. In addition, the comparison between mVOCs of the toxigenic strain and its non-AFB1-producing mutant, coupled with a semi-quantification of the mVOCs, revealed a relationship between emitted terpenes (β-chamigrene, α-corocalene) and AFB1 production. This study provides evidence for the first time of mVOCs being linked to the toxigenic character of A. flavus strains, as well as terpenes being able to be correlated to the production of AFB1 due to the study of the mutant. This study could lead to the development of new techniques for the early detection and identification of toxigenic fungi.

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“…Different strategies for the realization of the MIPs can be carried out depending on the nature of the target molecules and the envisaged use of the MIPs within the assay format (i.e., for solid-phase extraction or sensor surface modification). These approaches and the use and classification of MIPs (often reported as ‘plastic antibodies’) have been extensively studied and reviewed in the literature [ 86 , 87 , 88 ]. Figure 3 shows a graphical schematization of the MIPs assembling.…”

Section: Peptides Dna and Mips As Sensing Elementsmentioning

confidence: 99%

Peptides, DNA and MIPs in Gas Sensing. From the Realization of the Sensors to Sample Analysis

Gaggiotti

Pelle

Mascini

et al. 2020

Sensors

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Detection and monitoring of volatiles is a challenging and fascinating issue in environmental analysis, agriculture and food quality, process control in industry, as well as in ‘point of care’ diagnostics. Gas chromatographic approaches remain the reference method for the analysis of volatile organic compounds (VOCs); however, gas sensors (GSs), with their advantages of low cost and no or very little sample preparation, have become a reality. Gas sensors can be used singularly or in array format (e.g., e-noses); coupling data output with multivariate statical treatment allows un-target analysis of samples headspace. Within this frame, the use of new binding elements as recognition/interaction elements in gas sensing is a challenging hot-topic that allowed unexpected advancement. In this review, the latest development of gas sensors and gas sensor arrays, realized using peptides, molecularly imprinted polymers and DNA is reported. This work is focused on the description of the strategies used for the GSs development, the sensing elements function, the sensors array set-up, and the application in real cases.

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Gas Sensors Based on Molecular Imprinting Technology

Cited by 44 publications

References 53 publications

Polyvinyl Alcohol/Polypyrrole/Molecularly Imprinted Polymer Nanocomposite as Highly Selective Chemiresistor Sensor for 2,4‐DNT Vapor Recognition

Polyvinyl Alcohol/Polypyrrole/Molecularly Imprinted Polymer Nanocomposite as Highly Selective Chemiresistor Sensor for 2,4‐DNT Vapor Recognition

Volatile Organic Compounds Emitted by Aspergillus flavus Strains Producing or Not Aflatoxin B1

Peptides, DNA and MIPs in Gas Sensing. From the Realization of the Sensors to Sample Analysis

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