便携式氨氮现场检测装置

IF 7.7 Q1 AGRICULTURE, MULTIDISCIPLINARY Information Processing in Agriculture Pub Date : 2022-12-01 DOI:10.1016/j.inpa.2022.07.003
Xianbao Xu , Zhuangzhuang Bai , Tan Wang
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引用次数: 5

摘要

水中氨氮的便携式测量对水质监测具有重要意义。有利于减少生物病害,促进水产品安全。奈斯勒试剂法等传统方法存在操作复杂、时间延迟、有毒残留等问题。为实现简单、无污染的检测,本文研制了一种低成本的便携式氨氮检测装置。提出了一种试纸配合装置,并提供显色反应。便携式设备减少了任何环境光的影响,简化了操作,并提供了人机交互。在0.4 ~ 10 mg/L检测范围内(0.4 ~ 4.5和4.5 ~ 10 mg/L检测范围R2分别为0.990 2和0.989 3),检出限为0.36 mg/L,水产养殖水体的平均回收率为100.98 ~ 137.75%。结果表明,该便携式装置为现场检测氨氮浓度提供了巨大的潜力。
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Portable device for on-site detection of ammonia nitrogen

Portable measurement of ammonia nitrogen in water is of great significance for water quality monitoring. It’s beneficial to reduce biological diseases and promote aquatic product safety. Traditional methods such as Nessler’s reagent method suffer from complex operation, time delays and toxic residues. To realize simple and pollution-free detection, this paper develops a low-cost portable device for ammonia nitrogen detection. A test paper was proposed to cooperate the device and offer a chromogenic reaction. The portable device reduces the impact of any ambient light, simplifies the operation, and provides human–computer interaction. The result obtained for the detection range of 0.4–10 mg/L (R2 are 0.990 2 and 0.989 3 for the rang of 0.4–4.5 and 4.5–10 mg/L, respectively) with the detection limit of 0.36 mg/L, and the average recovery of aquaculture water is 100.98–137.75%. The results show that the portable device can provide a great potential for on-site detection ammonia nitrogen concentration.

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来源期刊
Information Processing in Agriculture
Information Processing in Agriculture Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
21.10
自引率
0.00%
发文量
80
期刊介绍: Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: • Promote the use of knowledge and methods from the information processing technologies in the agriculture; • Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; • Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; • Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; • Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: • Smart Sensor and Wireless Sensor Network • Remote Sensing • Simulation, Optimization, Modeling and Automatic Control • Decision Support Systems, Intelligent Systems and Artificial Intelligence • Computer Vision and Image Processing • Inspection and Traceability for Food Quality • Precision Agriculture and Intelligent Instrument • The Internet of Things and Cloud Computing • Big Data and Data Mining
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