High‐throughput methods for measuring protein extractability in sugar beet ( Beta vulgaris L.) leaves
Open Access
- 21 July 2025
- journal article
- Published by Wiley in Journal of the Science of Food and Agriculture
- Vol. 105 (15) , 8412-8421
Abstract
BACKGROUND: Most components from the roots of sugar beet ( Beta vulgaris ssp. vulgaris ) are valorized by industry. However, the leaves are currently left on the field, even though they contain large amounts of protein. To support leaf protein valorization, high‐throughput methods and phenotyping tools were developed to facilitate the selection of beet varieties with superior protein production. This study presents high‐throughput methods to measure total protein content in leaves and to determine the amount of soluble protein extracted through pressing, enabling the calculation of leaf protein extractability. RESULTS: The influence of harvested leaf sample size and within‐plant leaf selection on protein measurements is demonstrated. Representative samples of a plot entailed collection of the middle leaves from a minimum of 25 plants. To determine total leaf protein, a near‐infrared‐based model was developed, exhibiting excellent predictive performance. Protein measurements on leaf protein extracts, based on total nitrogen, were found to correlate strongly with RuBisCO quantification obtained through size‐exclusion chromatography. Non‐protein nitrogenous compounds were measured to assess their impact on protein estimates derived from total nitrogen measurements. A strong correlation between total nitrogen and proteinogenic nitrogen was observed, confirming total nitrogen as a reliable indicator of true protein content in sugar beet leaves. CONCLUSION: This study provided high‐throughput methods for assessing leaf protein content and extractability in sugar beet. The strong correlation between total nitrogen and true protein confirms their reliability for protein quantification. These findings aid efficient screening of sugar beet germplasm for improved leaf protein yield, contributing to sustainable leaf valorization. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.Keywords
Funding Information
- Foundation TKI Horticulture
This publication has 37 references indexed in Scilit:
- Sugar Beet: Perspectives for the FutureSugar Tech, 2024
- Assessing the Application of Near-Infrared Spectroscopy to Determine Saccharification Efficiency of Corn BiomassBioEnergy Research, 2024
- Opportunities and challenges in phenotyping row crops using drone‐based RGB imagingThe Plant Phenome Journal, 2022
- Calculation of Nitrogen‐to‐Protein Conversion Factors: A Review with a Focus on Soy ProteinJournal of the American Oil Chemists' Society, 2019
- Comparison of the functional properties of RuBisCO protein isolate extracted from sugar beet leaves with commercial whey protein and soy protein isolatesJournal of the Science of Food and Agriculture, 2018
- Plant RuBisCo: An Underutilized Protein for Food ApplicationsJournal of the American Oil Chemists' Society, 2018
- Applicability of near‐infrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leavesFood Science & Nutrition, 2012
- Quantitative and qualitative analyses in near infrared analysis of basic compounds in sugar beet leafComputers & Chemistry, 1995
- Senescence of rice leaves XXXI. Changes of chlorophyll, protein, and polyamine contents and ethylene production during senescence of a chlorophyll-deficient mutantJournal of Plant Growth Regulation, 1991
- Preparation and properties of a white protein fraction in high yield from sugar beet (Beta vulgaris L) leavesJournal of the Science of Food and Agriculture, 1988