ArticleAoB PLANTS2013
Online, real-time detection of volatile emissions from plant tissue.
Article in AoB PLANTS, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 35 citations in OpenAlex.
- Research hotspots and frontiers of application of mass spectrometry breath test in respiratory diseases.Frontiers in medicine · 2025Review
- Stress-Induced Volatile Emissions and Signalling in Inter-Plant Communication.Plants (Basel, Switzerland) · 2022Review
- Alfalfa (Molecules (Basel, Switzerland) · 2022Article
- Real-Time Visualization of Scent Accumulation Reveals the Frequency of Floral Scent Emissions.Frontiers in plant science · 2022Article
- Ethylene Measurements from Sweet Fruits Flowers Using Photoacoustic Spectroscopy.Molecules (Basel, Switzerland) · 2019Article
- Volatiles Emitted from Maize Ears Simultaneously Infected with TwoFrontiers in plant science · 2016Article
- Genome-wide survey of the seagrass Zostera muelleri suggests modification of the ethylene signalling network.Journal of experimental botany · 2015Article
- A robust, simple, high-throughput technique for time-resolved plant volatile analysis in field experiments.The Plant journal : for cell and molecular biology · 2014Article
- Article
- Analyzing strawberry spoilage via its volatile compounds using longpath Fourier transform infrared spectroscopy.Scientific reports · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trace gas monitoring plays an important role in many areas of life sciences ranging from agrotechnology, microbiology, molecular biology, physiology, and phytopathology. In plants, many processes can be followed by their low-concentration gas emission, for compounds such as ethylene, nitric oxide, ethanol or other volatile organic compounds (VOCs). For this, numerous gas-sensing devices are currently available based on various methods. Among them are the online trace gas detection methods; these have attracted much interest in recent years. Laser-based infrared spectroscopy and proton transfer reaction mass spectrometry are the two most widely used methods, thanks to their high sensitivity at the single part per billion level and their response time of seconds. This paper starts with a short description of each method and presents performances within a wide variety of biological applications. Using these methods, the dynamics of trace gases for ethylene, nitric oxide and other VOCs released by plants under different conditions are recorded and analysed under natural conditions. In this way many hypotheses can be tested, revealing the role of the key elements in signalling and action mechanisms in plants.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.