Ultrafast sampling and analysis of plant volatiles by a hand-held miniaturised GC with pre-concentration unit: Kinetic and quantitative aspects of plant volatile production

Kunert, Maritta; Biedermann, Anja; Koch, Thomas; Boland, Wilhelm

doi:10.1002/1615-9314(20020701)25:10/11<677::aid-jssc677>3.0.co;2-5

Cited by 77 publications

(51 citation statements)

References 21 publications

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“…It is used for food aroma analysis (Lammertyn et al, 2004) or for the ripeness and rot evaluation of fruits (Li et al, 2009). It has also found application for the determination of floral aroma compounds of lilac blossom (Oh et al, 2008), alarm pheromone emission from aphids (Schwartzberg et al, 2008) as well as analysis of herbivore-induced plant volatile emissions (Arimura et al, 2005;Kunert et al, 2002).…”

Section: Znose Analysermentioning

confidence: 99%

Quantitative and enantioselective analysis of monoterpenes from plant chambers and in ambient air using SPME

et al. 2010

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Abstract.A headspace solid-phase microextraction (HS-SPME) and gas chromatography/mass spectrometry (GC/MS) system has been developed for quantifying enantiomeric and nonenantiomeric monoterpenes in plant chamber studies and ambient air. Performance of this system was checked using a capillary diffusion system to produce monoterpene standards. The adsorption efficiency, competitive adsorption and chromatographic peak resolution of monoterpene enantiomer pairs were compared for three SPME fibre coatings: 75 µm Carboxen-PDMS (CAR-PDMS), 50/30 µm divinylbenzene-carboxenpolydimethylsiloxane (DVB-CAR-PDMS) and 65 µm divinylbenzene-polydimethylsiloxane (DVB-PDMS). Key parameters such as the linearity and reproducibility of the SPME system have been investigated in this work. The best compromise between the enantiomeric separation of monoterpenes and competitive adsorption of the isoprenoids on the solid SPME fibre coating was found for DVB-PDMS fibres. The optimum conditions using DVB-PDMS fibres were applied to measure the exchange rates of monoterpenes in the emission of Quercus ilex using a laboratory whole plant enclosure under light and dark conditions, as well as in ambient air. With 592 and 223 ng m −2 s −1 respectively, β-myrcene and limonene were the predominant monoterpenes in the emission of Q. ilex. These values were closely comparable to those obtained using a zNose and cartridge GC-FID systems.

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Section: Znose Analysermentioning

confidence: 99%

Quantitative and enantioselective analysis of monoterpenes from plant chambers and in ambient air using SPME

et al. 2010

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“…The E-nose does not resolve the sample's volatiles into its individual components but responds to the whole set of volatiles in a unique digital pattern. E-nose technology has been successfully used in a variety of applications, including food quality and control [5,6,14], environmental monitoring [7,17,18], micro-organism identification (Magan et al, 2000), medical and health detection [15,16] and plant monitoring [9][10][11][12][13]. Recently, more research has been directed towards early detection of insect and disease attack.…”

Section: Introductionmentioning

confidence: 91%

Discrimination of Different Types Damage of Tomato Seedling by Electronic Nose

Cheng

Wang

et al. 2017

ITM Web Conf.

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Abstract:The profiles of volatile compounds emitted by plants varies in response to different damage.The potential of electronic nose technology to monitor such changes,with the aim of diagnosing plant health was investingted.An electronic nose(E-nose)was used to analyse tomato seedlings that were subjected to differnent types of damage(infection by Early blight disease, infection by Gray mold disease, mechanically damage, and undamaged). Principal component analysis(PCA),linear discrimination analysis(LDA),back-propagation neural network(BPNN),and support vector machine (SVM) network were used to evaluate the E-nose data.The results indicated that the E-nose can successfully discriminate between tomato seedling with different types of damage. The results of PCA and LDA showed that clusters of data were divided into 3 groups (ZP, HP, and CP/MP). Samples from groups CP and MP overlapped partially. Back-propagation neural network (BPNN) and support vector machine (SVM) network were used to evaluate the E-nose data. Good discrimination results were obtained using SVM and BPNN. The results demonstrate that it is plausible to use E-nose technology as a method for monitoring damage in tomato seedling.

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“…30 Besides GC-MS and GC-FID, electronic noses (e-noses) are also widely used to detect plant-emitted volatiles in air. 31 In general, they are not useful for the identification and quantification of individual components. 32 However, the identification of the volatiles being emitted may not be needed if the comparison and recognition of patterns in the volatile profile are sufficient for crop health monitoring through the analysis of plant-emitted volatiles.…”

Section: Specificity Of Botrytis Cinerea-induced Emissions Of Volatilmentioning

confidence: 99%

Induced plant volatiles allow sensitive monitoring of plant health status in greenhouses

Jansen

Hofstee

Wildt³

et al. 2009

Plant Signaling & Behavior

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Ultrafast sampling and analysis of plant volatiles by a hand-held miniaturised GC with pre-concentration unit: Kinetic and quantitative aspects of plant volatile production

Cited by 77 publications

References 21 publications

Quantitative and enantioselective analysis of monoterpenes from plant chambers and in ambient air using SPME

Quantitative and enantioselective analysis of monoterpenes from plant chambers and in ambient air using SPME

Discrimination of Different Types Damage of Tomato Seedling by Electronic Nose

Induced plant volatiles allow sensitive monitoring of plant health status in greenhouses

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