Nadi Farhad, Najafabadi Elham Fazel, Rastegari Hajar
School of Information Technology, UNITAR International University, 47301, Petaling Jaya, Selangor, Malaysia.
Department of Water Engineering, College of Agriculture, Isfahan University of Technology, 84156-83111, Isfahan, Iran.
MethodsX. 2025 Feb 15;14:103223. doi: 10.1016/j.mex.2025.103223. eCollection 2025 Jun.
Maintaining optimal water quality is critical for the success of aquaculture operations, where pH monitoring plays a pivotal role. This study presents a novel approach for pH monitoring in aquaculture ponds by harnessing biomass-based indicators and smartphone-based colorimetric sensing using different setups designs. Three biomass indicators including red cabbage, mango leaf, and used coffee grounds extracts were tested. Standard solutions across a pH range of 1-13 were tested using four setups: black and white polypropylene enclosures, a polyethylene pipe assembly, and a polystyrene tray configuration. The polystyrene tray configuration was determined to be the most effective, as its longer light path (4.5 cm) significantly enhanced color visibility and produced more vibrant color changes, making it ideal for further investigations. The method is as follows:•Water samples were collected from aquaculture ponds. pH were analyzed using this method and standard pH meters.•Mango leaf extract showed strong pH sensitivity and correlation (R² =0.9654).•The mango leaf extract attained a quantification accuracy of 0.5 pH units within a pH range of 3-12.•This smartphone-based approach offers simplicity and ease of implementation empowering aquaculture farmers with a practical tool for monitoring water quality.
维持最佳水质对水产养殖业务的成功至关重要,其中pH监测起着关键作用。本研究提出了一种利用基于生物质的指示剂和基于智能手机的比色传感技术、采用不同设置设计来监测水产养殖池塘pH值的新方法。测试了三种生物质指示剂,包括紫甘蓝、芒果叶和用过的咖啡渣提取物。使用四种设置对pH值范围为1-13的标准溶液进行了测试:黑色和白色聚丙烯外壳、聚乙烯管组件以及聚苯乙烯托盘配置。聚苯乙烯托盘配置被确定为最有效的,因为其较长的光路(4.5厘米)显著提高了颜色可见度,并产生了更鲜艳的颜色变化,使其非常适合进一步研究。方法如下:
从水产养殖池塘采集水样。使用该方法和标准pH计分析pH值。
芒果叶提取物表现出很强的pH敏感性和相关性(R² =0.9654)。
芒果叶提取物在3-12的pH范围内达到了0.5个pH单位的定量准确度。
这种基于智能手机的方法提供了简单性和易于实施的特点,为水产养殖农民提供了一种监测水质的实用工具。