Discrimination of nerve gases mimics and other organophosphorous derivatives in gas phase using a colorimetric probe array

Chulvi, Katherine; Gaviña, Pablo; Costero, Ana M.; Gil, Salvador; Parra, Margarita; Gotor, Raúl; Royo, Santiago; Martínez‐Máñez, Ramón; Sancenón, Félix; Vivancos, José-Luis

doi:10.1039/c2cc34662a

Cited by 51 publications

(49 citation statements)

References 23 publications

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“…181 DFP, DCP, and DCNP were used as simulants for nerve gases, such as Tabun, Sarin, and Soman. As shown in Figure 62, 16 different colorimetric probes were embedded in a silica gel plate to form a colorimetric array 206.…”

Section: Chemical Reviewsmentioning

confidence: 99%

Recent Progress on the Development of Chemosensors for Gases

et al. 2015

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Introduction 7944 2. Chemosensors Based on Fluorescent Molecules 7945 2.1. Sensors for Environment Exhaust Gases 7945 2.1.1. Sensors for CO 2 7945 2.1.2. Sensors for SO 2 7949 2.1.3. Sensors for O 3 7951 2.2. Sensors for Biological Signaling Gases 7952 2.2.1. Sensors for NO 7952 2.2.2. Sensors for CO 7957 2.2.3. Sensors for H 2 S 7958 2.2.4. Sensors for 1 O 2 7962 2.3. Sensors for Highly Toxic Chemical-Warfare Agents 7963 2.3.1. Sensors for Nerve Agents 7963 2.3.2. Sensors for Sulfur Mustard 7967 3. Sensors Based on Functional Materials 7968 3.1. Sensors for Environment Gases 7968 3.1.1. Sensors for CO 2 7968 3.1.2. Sensors for O 2 7969 3.1.3. Sensors for VOCs 7971 3.1.4. Sensors for HCl 7972 3.1.5. Sensors for NH 3 7972 3.1.6. Sensors for Other Gases 7974 3.2. Sensors for High Dangerous Gases 7976 3.2.1. Sensors for Nerve Agents 7976 3.2.2. Sensors for Explosives 7976 4. Chemosensors Based on Metal Oxide Semiconductor 7978 4.1. Sensors for Environmental Gases 7978 4.1.1. Sensors for VOCs 7978 4.1.2. Sensors for CO 2 7985 4.1.3. Sensors for NO 2 7985 4.1.4. Sensors for SO 2 7987 4.1.5. Sensors for Other Gases 4.2. Sensors for Highly Toxic Gases 4.2.1. Sensors for CO 4.2.2. Sensors for H 2 S 4.2.3. Sensors for O 3 5. Conclusions and Future Perspectives Author Information

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Section: Chemical Reviewsmentioning

confidence: 99%

Recent Progress on the Development of Chemosensors for Gases

et al. 2015

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“…The dataset was first analyzed with PCA because it is one of the more commonly used methods to analyze large data sets, including data from colorimetric and sensor arrays. 1,6,13,35 PCA is a statistical algorithm that uses an orthogonal transformation to change a set of observable and possibly related variables into a set of linearly uncorrelated variables, which are called principal components. 36 In the case of colorimetric sensor arrays, the principal components are weighted combinations of all color channels from the sensors.…”

Section: Principal Component Analysismentioning

confidence: 99%

“…For these reasons, select acids and bases were selected for this exploratory study. Gas‐phase analytes including HCl, HF, HNO 3 , propionic acid, and various aliphatic amines have been identified and quantified with colorimetric sensor arrays . In addition to gas‐phase analytes, there have been a few reports of colorimetric sensor arrays for organic acidic and basic analytes in solution.…”

Section: Introductionmentioning

confidence: 99%

“…Gas-phase analytes including HCl, HF, HNO 3 , propionic acid, and various aliphatic amines have been identified and quantified with colorimetric sensor arrays. 10,[13][14][15][16] In addition to gas-phase analytes, there have been a few reports of colorimetric sensor arrays for organic acidic and basic analytes in solution. Zhang and Suslick used a 36 sensor printed array to identify aliphatic amines, aromatic amines, and carboxylic acids at millimolar (mM) concentrations in water, with cluster analysis showing that the 2 classes of amines formed distinct, well-separated, clustered groups of the analytes in an HCA dendrogram, thus allowing for the identification of the analytes.…”

Section: Introductionmentioning

confidence: 99%

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Comparative chemometric analysis for classification of acids and bases via a colorimetric sensor array

Kangas

Burks

Atwater

et al. 2017

Journal of Chemometrics

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With the increasing availability of digital imaging devices, colorimetric sensor arrays are rapidly becoming a simple, yet effective tool for the identification and quantification of various analytes. Colorimetric arrays utilize colorimetric data from many colorimetric sensors, with the multidimensional nature of the resulting data necessitating the use of chemometric analysis. Herein, an 8 sensor colorimetric array was used to analyze select acid and basic samples (0.5 - 10 M) to determine which chemometric methods are best suited for classification quantification of analytes within clusters. PCA, HCA, and LDA were used to visualize the data set. All three methods showed well-separated clusters for each of the acid or base analytes and moderate separation between analyte concentrations, indicating that the sensor array can be used to identify and quantify samples. Furthermore, PCA could be used to determine which sensors showed the most effective analyte identification. LDA, KNN, and HQI were used for identification of analyte and concentration. HQI and KNN could be used to correctly identify the analytes in all cases, while LDA correctly identified 95 of 96 analytes correctly. Additional studies demonstrated that controlling for solvent and image effects was unnecessary for all chemometric methods utilized in this study.

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“…[39][40][41][42][43][44] Recently,anew method consisting of surface-enhanced Ramans cattering measurements after watere vaporation and am ore concentratedsolutiono fD MMP wasr eported. [39][40][41][42][43][44] Recently,anew method consisting of surface-enhanced Ramans cattering measurements after watere vaporation and am ore concentratedsolutiono fD MMP wasr eported.…”

Section: Introductionmentioning

confidence: 99%

Nerve Gas Simulant Sensing by a Uranyl–Salen Monolayer Covalently Anchored on Quartz Substrates

Sfrazzetto

Millesi

Pappalardo

et al. 2016

Chemistry A European J

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Discrimination of nerve gases mimics and other organophosphorous derivatives in gas phase using a colorimetric probe array

Abstract: A colorimetric array for the chromogenic discrimination of organophosphorous derivatives in gas phase has been developed.

Cited by 51 publications

References 23 publications

Recent Progress on the Development of Chemosensors for Gases

Recent Progress on the Development of Chemosensors for Gases

Comparative chemometric analysis for classification of acids and bases via a colorimetric sensor array

Nerve Gas Simulant Sensing by a Uranyl–Salen Monolayer Covalently Anchored on Quartz Substrates

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