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University of Illinois at Urbana-Champaign

Development and validation of a paper-based sensor and convolutional neural networks integrated in a single-board computer for the quantification of sodium iron-EDTA and zinc oxide in fortified corn flours

Abstract

dc:description

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Food Science & Human Nutrition
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Toc Sagra, Marco Eduardo
Contributors dc:contributor
  • Andrade, Juan E.
  • Stasiewicz, Matthew J.
  • Engeseth, Nicki J.
  • Wang, Yi-Cheng

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 2023 Marco Eduardo Toc Sagra
Language dc:language
eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/121201
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/121201

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Toc Sagra, Marco Eduardo. Development and validation of a paper-based sensor and convolutional neural networks integrated in a single-board computer for the quantification of sodium iron-EDTA and zinc oxide in fortified corn flours. Dissertation thesis, University of Illinois at Urbana-Champaign, 2023. https://hdl.handle.net/2142/121201