Odedeyi, Temitope;
Rabbi, Ismail;
Poole, Clive;
Darwazeh, Izzat;
(2022)
Estimation of starch content in cassava based on coefficient of reflection measurement.
Frontiers in Food Science and Technology
, 2
, Article 878023. 10.3389/frfst.2022.878023.
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Abstract
This technology report validates the application of radio frequency (RF) coefficient of reflection (Γ) measurement as a viable and accurate means to estimate the starch content of fresh cassava roots. A clear relationship between cassava dry matter as an indicator of starch content and the Γ is experimentally verified both from the measurement of cassava flour in water at different concentrations and by direct probing of cassava root samples at a specific frequency of 30 MHz. A prototype test instrument designed with goals of portability, low cost and ease of use is also reported. The test instrument displays estimated starch content in five categories, from “low” to “high”, using an array of five LEDs. The performance of the test instrument is experimentally verified in the field, and a reliable correlation between cassava dry matter content and LED indication is demonstrated.
| Type: | Article |
|---|---|
| Title: | Estimation of starch content in cassava based on coefficient of reflection measurement |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/frfst.2022.878023 |
| Publisher version: | https://doi.org/10.3389/frfst.2022.878023 |
| Language: | English |
| Additional information: | Copyright © 2022 Odedeyi, Rabbi, Poole and Darwazeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | crop quality, electrical impedance spectroscopy, return loss, test instrument design, high throughput phenotyping (HTP), cassava (Manihot esculenta (L.) crantz) |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10193662 |
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