Visualizing anthocyanins: Colorimertic analysis of blue maize

Anthocyanin, vibrant pigments found in a wide range of plants, including maize, contribute to the red, blue, and purple hues observed in fruits, vegetables, and grains. The inherent color variations in maize, including natural shades of purple, red, blue, and even rainbow colors, pose a significan...

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Main Authors: Azmi, Nur Fatihah, Ismail, Luthffi Idzhar, M. Ramli, Roshahliza, Mushthofa, Hardhienata, Medria Kusuma Dewi
Format: Article
Language:English
Published: Penerbit Akademia Baru 2025
Online Access:http://eprints.utem.edu.my/id/eprint/27666/2/014970606202493114844.PDF
http://eprints.utem.edu.my/id/eprint/27666/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/4733
https://doi.org/10.37934/araset.46.1.201217
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spelling my.utem.eprints.276662024-10-04T16:18:16Z http://eprints.utem.edu.my/id/eprint/27666/ Visualizing anthocyanins: Colorimertic analysis of blue maize Azmi, Nur Fatihah Ismail, Luthffi Idzhar M. Ramli, Roshahliza Mushthofa Hardhienata, Medria Kusuma Dewi Anthocyanin, vibrant pigments found in a wide range of plants, including maize, contribute to the red, blue, and purple hues observed in fruits, vegetables, and grains. The inherent color variations in maize, including natural shades of purple, red, blue, and even rainbow colors, pose a significant challenge in accurately assessing maize maturity. This study recognizes the importance of visualizing the distinct blue purplish anthocyanin coloration to determine the optimal harvest time for blue maize, particularly among small-scale producers. To address this crucial need, this research project presents the development of the MaizeMeter, an advanced colorimeter specifically designed to analyze maize color based on anthocyanin pigmentation. Leveraging the power of Internet of Things (IoT) implementation, the MaizeMeter provides real-time monitoring and interpretation of anthocyanin color values. The proposed methodology encompasses the calibration of the color sensor and the prototyping of the MaizeMeter, culminating in the establishment of a comprehensive database of anthocyanin color profiles in blue maize. The generated anthocyanin color database by the MaizeMeter will serve as a vital tool for small-scale farmers and researchers, enabling more efficient and accurate assessment of maize maturity in the future. Penerbit Akademia Baru 2025-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27666/2/014970606202493114844.PDF Azmi, Nur Fatihah and Ismail, Luthffi Idzhar and M. Ramli, Roshahliza and Mushthofa and Hardhienata, Medria Kusuma Dewi (2025) Visualizing anthocyanins: Colorimertic analysis of blue maize. Journal Of Advanced Research In Applied Sciences And Engineering Technology, 46 (1). pp. 201-217. ISSN 2462-1943 https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/4733 https://doi.org/10.37934/araset.46.1.201217
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Anthocyanin, vibrant pigments found in a wide range of plants, including maize, contribute to the red, blue, and purple hues observed in fruits, vegetables, and grains. The inherent color variations in maize, including natural shades of purple, red, blue, and even rainbow colors, pose a significant challenge in accurately assessing maize maturity. This study recognizes the importance of visualizing the distinct blue purplish anthocyanin coloration to determine the optimal harvest time for blue maize, particularly among small-scale producers. To address this crucial need, this research project presents the development of the MaizeMeter, an advanced colorimeter specifically designed to analyze maize color based on anthocyanin pigmentation. Leveraging the power of Internet of Things (IoT) implementation, the MaizeMeter provides real-time monitoring and interpretation of anthocyanin color values. The proposed methodology encompasses the calibration of the color sensor and the prototyping of the MaizeMeter, culminating in the establishment of a comprehensive database of anthocyanin color profiles in blue maize. The generated anthocyanin color database by the MaizeMeter will serve as a vital tool for small-scale farmers and researchers, enabling more efficient and accurate assessment of maize maturity in the future.
format Article
author Azmi, Nur Fatihah
Ismail, Luthffi Idzhar
M. Ramli, Roshahliza
Mushthofa
Hardhienata, Medria Kusuma Dewi
spellingShingle Azmi, Nur Fatihah
Ismail, Luthffi Idzhar
M. Ramli, Roshahliza
Mushthofa
Hardhienata, Medria Kusuma Dewi
Visualizing anthocyanins: Colorimertic analysis of blue maize
author_facet Azmi, Nur Fatihah
Ismail, Luthffi Idzhar
M. Ramli, Roshahliza
Mushthofa
Hardhienata, Medria Kusuma Dewi
author_sort Azmi, Nur Fatihah
title Visualizing anthocyanins: Colorimertic analysis of blue maize
title_short Visualizing anthocyanins: Colorimertic analysis of blue maize
title_full Visualizing anthocyanins: Colorimertic analysis of blue maize
title_fullStr Visualizing anthocyanins: Colorimertic analysis of blue maize
title_full_unstemmed Visualizing anthocyanins: Colorimertic analysis of blue maize
title_sort visualizing anthocyanins: colorimertic analysis of blue maize
publisher Penerbit Akademia Baru
publishDate 2025
url http://eprints.utem.edu.my/id/eprint/27666/2/014970606202493114844.PDF
http://eprints.utem.edu.my/id/eprint/27666/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/4733
https://doi.org/10.37934/araset.46.1.201217
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