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 significant...
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| Format: | Article |
| Language: | English |
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Semarak Ilmu Publishing
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117487/ http://psasir.upm.edu.my/id/eprint/117487/1/117487.pdf |
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| author | Azmi, Nur Fatihah Ismail, Luthffi Idzhar Ramli, Roshahliza M. Mushthofa, Mushthofa Hardhienata, Medria Kusuma Dewi |
| author_facet | Azmi, Nur Fatihah Ismail, Luthffi Idzhar Ramli, Roshahliza M. Mushthofa, Mushthofa Hardhienata, Medria Kusuma Dewi |
| author_sort | Azmi, Nur Fatihah |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T14:33:42Z |
| format | Article |
| id | upm-117487 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:33:42Z |
| publishDate | 2024 |
| publisher | Semarak Ilmu Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1174872025-05-27T09:05:03Z http://psasir.upm.edu.my/id/eprint/117487/ Visualizing anthocyanins: colorimertic analysis of blue maize Azmi, Nur Fatihah Ismail, Luthffi Idzhar Ramli, Roshahliza M. Mushthofa, 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. Semarak Ilmu Publishing 2024-06-04 Article PeerReviewed text en cc_by_nc_4 http://psasir.upm.edu.my/id/eprint/117487/1/117487.pdf Azmi, Nur Fatihah and Ismail, Luthffi Idzhar and Ramli, Roshahliza M. and Mushthofa, Mushthofa and Hardhienata, Medria Kusuma Dewi (2024) 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 10.37934/araset.46.1.201217 |
| spellingShingle | Azmi, Nur Fatihah Ismail, Luthffi Idzhar Ramli, Roshahliza M. Mushthofa, Mushthofa Hardhienata, Medria Kusuma Dewi Visualizing anthocyanins: colorimertic analysis of blue maize |
| title | 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_short | Visualizing anthocyanins: colorimertic analysis of blue maize |
| title_sort | visualizing anthocyanins: colorimertic analysis of blue maize |
| url | http://psasir.upm.edu.my/id/eprint/117487/ http://psasir.upm.edu.my/id/eprint/117487/ http://psasir.upm.edu.my/id/eprint/117487/ http://psasir.upm.edu.my/id/eprint/117487/1/117487.pdf |