Related Experiment Video
Updated: Jan 5, 2026

Author Spotlight: Quantification of Aflatoxins and Phytoalexins in Peanut Seeds to Identify Genetic Resistance Against Aspergillus
Published on: April 19, 2024
Polyphenol analysis using high-resolution mass spectrometry allows differentiation of drought tolerant peanut
Fernanda F Juliano1, José Fernando R Alvarenga2, Rosa Maria Lamuela-Raventos3
1Department of Agri-food Industry, Food and Nutrition, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, Brazil.
Background:
Peanut (Arachis hypogaea L.) is an important economic food crop highly appreciated worldwide. Although peanut cultivation has been expanding to dry regions, with water stress during growth stages, current genotypes are not adapted to drought. This study aimed to identify and quantify the full range of polyphenols in five peanut genotypes with different degrees of drought tolerance developed by Embrapa (Brazil) using ultra-high-definition accurate-mass liquid chromatography-electrospray ionization-LTQ-Orbitrap-mass spectrometry.
Results:
Fifty-eight polyphenols of the classes hydroxybenzoic acids, hydroxycinnamic acids, flavanols, flavonols and flavanones were identified and quantified using high mass accuracy data and confirmed by tandem mass spectrometric experiments. High-definition mass spectrometric analyses revealed nine phenolic compounds that have never been reported in peanuts before. Polyphenol assessment using multivariate analysis allowed identification of the level of similarities among the five peanut genotypes studied.
Conclusion:
Higher drought-tolerant genotypes exhibited higher content of flavonoids, which suggests a relationship between these compounds and drought tolerance traits. © 2019 Society of Chemical Industry.
More Related Videos
10:30A Generalized Method for Determining Free Soluble Phenolic Acid Composition and Antioxidant Capacity of Cereals and Legumes
Published on: June 10, 2022
08:43PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
Published on: May 11, 2017