ArticleACS omega2020
Adsorbent-SERS Technique for Determination of Plant VOCs from Live Cotton Plants and Dried Teas.
Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 38 citations in OpenAlex.
- Advances in surface-enhanced Raman scattering applications for precision agriculture: monitoring plant health and crop quality.RSC advances · 2025Review
- A Preliminary Study for Ultraviolet Optical Methyl Salicylate Monitoring in Agriculture.Sensors (Basel, Switzerland) · 2025Article
- Surface Enhanced Raman Scattering for Biomolecular Sensing in Human Healthcare Monitoring.ACS nano · 2025Review
- Cutting-Edge Sensor Design: MIP Nanoparticle-Functionalized Nanofibers for Gas-Phase Detection of Limonene in Predictive Agriculture.Polymers · 2025Article
- Development and Biomedical Application of Non-Noble Metal Nanomaterials in SERS.Nanomaterials (Basel, Switzerland) · 2024Review
- Metal-Organic Frameworks in Surface Enhanced Raman Spectroscopy-Based Analysis of Volatile Organic Compounds.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Review
- Highly flexible copper tape decorated with Ag nanoarrays as ultrasensitive SERS platforms for multi-hazardous pollutant sensing.Mikrochimica acta · 2024Article
- SERS Gas Sensors Based on Multiple Polymer Films with High Design Flexibility for Gas Recognition.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed a novel substrate for the collection of volatile organic compounds (VOCs) emitted from either living or dried plant material to be analyzed by surface-enhanced Raman spectroscopy (SERS). We demonstrated that this substrate can be utilized to differentiate emissions from blends of three teas, and to differentiate emissions from healthy cotton plants versus caterpillar-infested cotton plants. The substrate we developed can adsorb VOCs in static headspace sampling environments, and VOCs naturally evaporated from three standards were successfully identified by our SERS substrate, showing its ability to differentiate three VOCs and to detect quantitative differences according to collection times. In addition, volatile profiles from plant materials that were either qualitatively different among three teas or quantitatively different in abundance between healthy and infested cotton plants were confirmed by collections on Super-Q resin for dynamic headspace and solid-phase microextraction for static headspace sampling, respectively, followed by gas chromatography to mass spectrometry. Our results indicate that both qualitative and quantitative differences can also be detected by our SERS substrate although we find that the detection of quantitative differences could be improved.
Identifiers
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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.