Methods in plant foliar volatile organic compounds research

Materić, Dušan; Bruhn, Dan; Turner, Claire; Morgan, G. H.; Mason, Nigel J.; Gauci, Vincent

doi:10.3732/apps.1500044

Cited by 69 publications

(71 citation statements)

References 62 publications

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“…VOCs emitted from plant leaves are considered the main challenges in plant VOCs research because they are difficult to sample accurately due to the low concentrations of VOCs present and the inherent reactivity of some VOC compounds that makes them hard to detect directly [37]. Using the optimized HS-SPME method developed in this study we were able to accurately detect volatiles from excised and intact rose leaves, and there were no significant differences between different extraction times, and a 1 h extraction time was chosen for both cultivars.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast, [38] using an SPME fiber with glass chamber used an extraction time of 1 min performed every 30 min to identify VOCs from intact Eucalyptus leaves. Moreover, [37] reviewed that VOCs from foliage can be analyzed using different sampling methods and available analytical techniques used for this purpose. Also, they indicated these methods will allow biologists moving into the field to analyze their studies on VOCs.…”

Section: Discussionmentioning

confidence: 99%

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Optimized Method to Analyze Rose Plant Volatile Organic Compounds by HS-SPME-GC-FID/MSD

Ibrahim¹,

Agarwal²,

Hardy³

et al. 2017

JBM

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A method involving Headspace solid-phase microextraction (HS-SPME) fiber combined with gas chromatography (GC) coupled with flame ionization detection (FID) and gas chromatography with mass spectrometry (GC-MS) was developed and optimized to investigate volatile organic compounds (VOCs) from different tissues (flowers, leaves, stems, rhizosphere and whole plants) of Floribunda and Hybrid Tea roses (intact and cut). Three-phase fiber 50/30 µm divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) was used. Two types of chambers (Tedlar bag and glass jar) were evaluated for collection of VOCs and glass jar was selected. Absorbed compounds on the fiber were completely desorbed in the GC injector port at three desorption times (5, 10 and 15 min), and 5 min at 250˚C was used. The maximum extraction efficiency for flowers tissues (equilibrium absorption) was achieved 2 h after fiber exposure in the headspace for intact and cut Floribunda and Hybrid Tea flowers. Under the optimized HS-SPME and GC-FID/MS conditions, 1h extraction time was chosen for intact and cut Floribunda and Hybrid Tea leaves and stems. The results demonstrated that 5 cm depth was selected for root and soil part (rhizosphere) for both rose cultivars, and 6 h and 12 h extraction time of VOCs from rhizosphere was achieved for Floribunda and Hybrid Tea, respectively. One hour was chosen for VOCs released from whole rose plants for both cultivars. In this study, the VOC profiles of two rose cultivars were characterized by the optimized HS-SPME-GC method. The different tissues of rose plants gave wide range of the VOCs; also the chromatograms of different cultivars were quite different and the specific VOC pattern of rose types depends on the species. Results from this study demonstrate the feasibility of this method for identifying VOCs from two rose cultivars and the potential use of this method for physiological studies on rose plants or on other floriculture plants.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Optimized Method to Analyze Rose Plant Volatile Organic Compounds by HS-SPME-GC-FID/MSD

Ibrahim¹,

Agarwal²,

Hardy³

et al. 2017

JBM

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“…GC-methods (especially Gas Chromatography-Mass Spectrometry -GC-MS) have high analyt-ical power and are suitable for both quantitative and qualitative analysis, but at the time cost [9]. On the other hand, direct injection mass spectrometry with CI is a way of ionizing species for separation and analysis by mass spectrometry and it is suitable for real time analysis.…”

Section: Introductionmentioning

confidence: 99%

Selective reagent ion-time of flight-mass spectrometry study of six common monoterpenes

Materić

Lanza

Sulzer

et al. 2017

International Journal of Mass Spectrometry

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a b s t r a c tOne of the most common volatile organic compounds (VOCs) group is monoterpenes. Monoterpenes share the molecular formula C 10 H 16 , they are usually cyclic and have a pleasant smell. The most common monoterpenes are limonene (present in citrus fruits) and ␣-pinene (present in conifers' resin). Different monoterpenes have different chemical, biological and ecological properties thus it is experimentally very important to be able to differentiate between them in real time. Real time instruments such as Proton Transfer Reaction-Time of Flight-Mass Spectrometry (PTR-ToF-MS), offer a real time solution for monoterpene measurement but at the cost of selectivity resulting in all monoterpenes being seen at the same m/z. In this work we used Selective Reagent Ion-Time of Flight-Mass Spectrometry (SRI/PTR-ToF-MS) in order to explore the differences in ion branching when different ionizations (H 3 O + , NO + and O 2 + ) and different drift tube reduced field energies (E/N) were used. We report a comprehensive ion library with many unique features, characteristic for individual monoterpenes.

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“…In spite of these studies, however, major knowledge gaps persist, which are mainly due to the technical limitations of the available methodologies. Most research on pVOCs is conducted with branch/leaf enclosure experiments (Materić et al., ), providing accurate measurements of the quantity and quality of the pVOCs (Šimpraga et al., ). For calculating vegetation level emissions, the data have to be extrapolated based on known (species specific) pVOC emissions per unit dry leaf mass in combination with estimates of overall leaf mass per unit area (Lahr et al., ; Purves et al., ), introducing a range of uncertainties into the calculations.…”

Section: Introductionmentioning

confidence: 99%

Smell the change: On the potential of gas‐chromatographic ion mobility spectrometry in ecosystem monitoring

Vautz

Hariharan²,

Weigend

2018

Ecology and Evolution

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Plant volatile organic compounds (pVOCs) are being recognized as an important factor in plant–environment interactions. Both the type and amount of the emissions appear to be heavily affected by climate change. A range of studies therefore has been directed toward understanding pVOC emissions, mostly under laboratory conditions (branch/leaf enclosure). However, there is a lack of rapid, sensitive, and selective analytical methods, and therefore, only little is known about VOC emissions under natural, outdoor conditions. An increased sensitivity and the identification of taxon‐specific patterns could turn VOC analysis into a powerful tool for the monitoring of atmospheric chemistry, ecosystems, and biodiversity, with far‐reaching relevance to the impact of climate change on pVOCs and vice versa. This study for the first time investigates the potential of ion mobility spectrometry coupled to gas‐chromatographic preseparation (GC‐IMS) to dramatically increase sensitivity and selectivity for continuous monitoring of pVOCs and to discriminate contributing plant taxa and their phenology. Leaf volatiles were analyzed for nine different common herbaceous plants from Germany. Each plant turned out to have a characteristic metabolite pattern. pVOC patterns in the field would thus reflect the composition of the vegetation, but also phenology (with herbaceous and deciduous plants contributing according to season). The technique investigated here simultaneously enables the identification and quantification of substances characteristic for environmental pollution such as industrial and traffic emissions or pesticides. GC‐IMS thus has an enormous potential to provide a broad range of data on ecosystem function. This approach with near‐continues measurements in the real plant communities could provide crucial insights on pVOC‐level emissions and their relation to climate and phenology and thus provide a sound basis for modeling climate change scenarios including pVOC emissions.

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Methods in plant foliar volatile organic compounds research

Cited by 69 publications

References 62 publications

Optimized Method to Analyze Rose Plant Volatile Organic Compounds by HS-SPME-GC-FID/MSD

Optimized Method to Analyze Rose Plant Volatile Organic Compounds by HS-SPME-GC-FID/MSD

Selective reagent ion-time of flight-mass spectrometry study of six common monoterpenes

Smell the change: On the potential of gas‐chromatographic ion mobility spectrometry in ecosystem monitoring

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