Visualizing anthocyanins : Colorimertic analysis of blue maize

• Main Authors: Nur Fatihah, Azmi, Luthffi Idzhar, Ismail, Roshahliza, M. Ramli, Mushthofa, Mushthofa, Kusuma Dewi Hardhienata55369740600, Medria Kusuma Dewi
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2025
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/41698/1/Visualizing%20anthocyanins_Colorimertic%20analysis%20of%20blue%20maize.pdf; http://umpir.ump.edu.my/id/eprint/41698/; https://doi.org/10.37934/araset.46.1.201217; https://doi.org/10.37934/araset.46.1.201217
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

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.