ArticleFoods (Basel, Switzerland)2022
Near-Infrared Reflectance Spectrophotometry (NIRS) Application in the Amino Acid Profiling of Quality Protein Maize (QPM).
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Machine learning and near-infrared fusion-driven quantitative characterization and detection of protein content in maize kernels.Frontiers in nutrition · 2025Article
- Discovery of candidate genes enhancing kernel protein content in tropical maize introgression lines.BMC plant biology · 2024Article
- Successful Applications of NIR Spectroscopy and NIR Imaging in the Food Processing Chain.Foods (Basel, Switzerland) · 2023Article
- Article
- Rice bean-adzuki bean multitrait near infrared reflectance spectroscopy prediction model: a rapid mining tool for trait-specific germplasm.Frontiers in nutrition · 2023Article
- Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications.Frontiers in nutrition · 2023Review
- Prediction of functional characteristics of gari (cassava flakes) using near-infrared reflectance spectrometry.Frontiers in chemistry · 2023Article
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Authors and funding
5 authors.
Funding
Abstract
The accurate quantification of amino acids in maize breeding programs is challenging due to the high cost of analysis using High-Performance Liquid Chromatography (HPLC) and other conventional methods. Using the Near-Infrared Spectroscopic (NIRS) method in breeding to screen many genotypes has proven to be a fast, cost-effective, and non-destructive method. Thus, this study aimed to develop and apply the NIRS prediction models for quantifying amino acids in biofortified quality protein maize (QPM). Sixty-three (63) QPM maize genotypes were used as the calibration set, and another twenty (20) genotypes were used as the validation set. The microwave hydrolysis system coupled with post-column derivatization with 6-amino-quinoline-succinimidyl-carbamate as the derivatization reagent and the HPLC method were used to generate the reference data set used for the calibration development. The calibration models were developed for essential and non-essential amino acids using WINSI Foss software. Good coefficients of determination in calibration (R
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