Visualizing Anthocyanins: Colorimertic Analysis of Blue Maize

Nur Fatihah Azmi, Luthffi Idzhar Ismail, Roshahliza M. Ramli, Mushthofa Mushthofa, Medria Kusuma Dewi Hardhienata
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Abstract

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.
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花青素可视化:蓝色玉米的色度分析
花青素是在包括玉米在内的多种植物中发现的充满活力的色素,它能使水果、蔬菜和谷物呈现红色、蓝色和紫色。玉米固有的颜色变化,包括紫色、红色、蓝色甚至彩虹色的自然色调,给准确评估玉米成熟度带来了巨大挑战。本研究认识到了可视化独特的蓝紫色花青素着色对确定蓝色玉米最佳收获时间的重要性,尤其是对小规模生产者而言。为了满足这一关键需求,本研究项目开发了 MaizeMeter,这是一种先进的色度计,专门用于根据花青素色素分析玉米颜色。利用物联网(IoT)的强大功能,MaizeMeter 可对花青素颜色值进行实时监测和解释。所提出的方法包括校准颜色传感器和制作 MaizeMeter 原型,最终建立蓝色玉米花青素颜色剖面综合数据库。由 MaizeMeter 生成的花青素颜色数据库将成为小型农户和研究人员的重要工具,使他们今后能够更高效、更准确地评估玉米成熟度。
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