Non-Destructive Analysis Using Near-Infrared Spectroscopy to Predict Albumin, Globulin, Glutelin, and Total Protein Content in Sunflower Seeds
-
Published:2024-01-15
Issue:2
Volume:16
Page:737
-
ISSN:2071-1050
-
Container-title:Sustainability
-
language:en
-
Short-container-title:Sustainability
Author:
Levasseur-Garcia Cecile1ORCID, Castellanet Pierre2, Henry Camille3, Florin Christelle3, Laporte Marion4, Mirleau-Thebaud Virginie5, Plut Sandrine6, Calmon Anne1
Affiliation:
1. Laboratoire de Chimie Agro-Industrielle (LCA), Toulouse University, INRAE, INPT, INP-Purpan, 31000 Toulouse, France 2. Caussade Semences, 82300 Caussade, France 3. MAS Seeds, 40280 Haut Mauco, France 4. RAGT 2n, 12000 Rodez, France 5. Syngenta France, 31790 Saint-Sauveur, France 6. SOLTIS, 31700 Mondonville, France
Abstract
This pilot study explores the potential of near-infrared spectroscopy (NIRS) for predicting sunflower seed protein content, focusing on both crushed and husked samples to address agricultural sustainability concerns. Sunflower seeds are renowned for their richness in both oil and protein content. The important role of sunflower seeds in the food and feed industries underscores the importance of using precise analytical tools to determine their composition. In essence, the nature of the hull of sunflower seeds, which skews the interaction between the seed and light, necessitates a sophisticated analysis. This study analyzes 326 samples using a near-infrared spectrometer to develop robust partial least squares (PLS) models. High accuracy is achieved in predicting total protein for crushed samples (r²c = 0.97, RMSEC 0.54%, RPDc 6; r²p = 0.78, RMSEP 1.24%, RPDp 2.1). Extending the scope to husked samples, promising results emerge for crude protein prediction (r²c = 0.93, RMSEC 0.86%, RPDc 3.9; r²cv = 0.83, RMSECV 1.39%, RPDcv 2.4). Additionally, this study delves into protein fractions (globulin, albumin, and glutelin) in crushed seeds, adding depth to the analysis. In conclusion, NIR spectroscopy proves valuable for rapid prescreening in breeding, especially when working with hulled grains, offering non-destructive efficiency and predictive accuracy in agricultural analysis. The novel exploration of protein fractions in sunflower seeds further enhances this study’s importance, providing a valuable contribution to the field and underscoring the practical applications of NIR spectroscopy in sustainable agriculture. In conclusion, the opacity of sunflower seed hulls poses challenges in infrared spectroscopy, limiting light penetration and accuracy. Dehulled seeds are preferred for reliable results, overcoming hull-related limitations. Although grinding provides the advantages of uniformity and reproducibility for near-infrared (NIR) spectroscopy, the preference for dehulled grains persists. The practical need for accurate analysis in agriculture and breeding drives the choice of spectroscopy on dehulled seeds, allowing for replanting.
Funder
Sofiprotéol, France
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference38 articles.
1. FAO Statistics Division (2023, December 15). FAOSTAT-Production, Last Update 24 March 2023. Available online: http://www.fao.org/faostat/fr/#data/QC. 2. Giannini, V., Maucieri, C., Vamerali, T., Zanin, G., Schiavon, S., Pettenella, D.M., Bona, S., and Borin, M. (2022). Sunflower: From Cortuso’s Description (1585) to Current Agronomy, Uses and Perspectives. Agriculture, 12. 3. The Use of High-Protein Flour from Sunflower Grist” Bioprotein” for the Development of Vegetarian Food Products;Tkeshelashvili;J. Food Chem. Nanotechnol.,2022 4. Efficiency of Using High-Protein Sunflower Meal Instead of Soybean Meal in Feeding of Growing Piglets;Povod;Sci. Pap. Manag. Econ. Eng. Agric. Rural Dev.,2022 5. Optimization of sunflower albumin extraction from oleaginous meal and characterization of their structure and properties;Sara;Food Hydrocoll.,2020
|
|