ArticleFrontiers in chemistry2023
Prediction of functional characteristics of gari (cassava flakes) using near-infrared reflectance spectrometry.
Article in Frontiers in chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Establishment of a Near-Infrared Spectroscopy-Based Screening Framework for Key Quality Indicators of Cassava Varieties.Foods (Basel, Switzerland) · 2026Article
- Near-Infrared Spectroscopy in Food Analysis: Applications, Chemometric Strategies, and Technological Advances.Foods (Basel, Switzerland) · 2026Review
- Development of a Dynamic Multi-Parameter Prediction Model for the Maturation Process of 'Foods (Basel, Switzerland) · 2026Article
- Advancing sustainability in the food and nutrition system: a review of artificial intelligence applications.Frontiers in nutrition · 2023Review
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Authors and funding
4 authors.
Funding
Abstract
Gari is a creamy, granular flour obtained from roasting fermented cassava mash. Its preparation involves several unit operations, including fermentation, which is essential in gari production. Fermentation brings about specific biochemical changes in cassava starch due to the actions of lactic acid bacteria. Consequently, it gives rise to organic acids and a significant reduction in the pH. Consumer preferences for gari are influenced by these changes and impact specific functional characteristics, which are often linked to cassava genotypes. Measurement of these functional characteristics is time-consuming and expensive. Therefore, this study aimed to develop high-throughput and less expensive prediction models for water absorption capacity, swelling power, bulk density, and dispersibility using Near-Infrared Reflectance Spectroscopy (NIRS). Gari was produced from 63 cassava genotypes using the standard method developed in the RTB foods project. The prediction model was developed by dividing the gari samples into two sets of 48 samples for calibration and 15 samples as the validation set. The gari samples were transferred into a ring cell cup and scanned on the NIRS machine within the Vis-NIR range of 400-2,498 nm wavelength, though only the NIR range of 800-2,400 nm was used to build the model. Calibration models were developed using partial least regression algorithms after spectra pre-processing. Also, the gari samples were analysed in the laboratory for their functional properties to generate reference data. Results showed an excellent coefficient of determination in calibrations (R
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