| 基于微流控和比色光谱法的水产养殖海水氨氮含量检测 |
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| 引用本文： | 时家辉,于亚光,杨普,董峰,孙明.基于微流控和比色光谱法的水产养殖海水氨氮含量检测[J].农业机械学报,2020,51(S1):397-404. |
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| 作者姓名： | 时家辉 于亚光 杨普 董峰 孙明 |
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| 作者单位： | 中国农业大学 |
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| 基金项目： | 国家重点研发计划项目（2019YFD0901700） |
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| 摘 要： | 为实时、准确地获取水产养殖海水中氨氮含量，以大围网养殖海水中的氨氮为研究对象，在比色光谱法基础上结合微流控技术进行靛酚蓝法比色反应，实现对溶液中氨氮含量的定量检测。建立数据处理后相应的模型，并且对比了不同光谱预处理和不同样本集划分算法对建立预测模型的影响，其中多元散色校正（MSC）后再使用小波平滑的预处理方法结合排序法划分样本集建立的偏最小二乘（PLS）回归模型效果最优，建模集校正标准差（RMSEC）和预测集校正标准差（RMSEP）分别为0.0566mg/L和0.0677mg/L，相对分析误差（RPD）为6.8932；在优化条件下测得方法的线性范围和检测限分别为0.005~1.350mg/L和0.0036mg/L。对海水、自来水和养殖水体进行加标回收实验，平均回收率在94%~109%之间，相对标准偏差在2.3%~5.8%之间。结果表明，实验建模效果良好，操作简单、方便，实验快速、可靠、无污染，表明利用比色光谱法结合微流控技术检测氨氮方法可行。
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| 关 键 词： | 水产养殖 氨氮 微流控 比色法 预测模型 光谱分析 |
| 收稿时间： | 2020/8/10 0:00:00 |
Detection of Ammonia Nitrogen in Seawater in Aquaculture Based on Microfluidics and Colorimetric Spectroscopy |
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| SHI Jiahui,YU Yaguang,YANG Pu,DONG Feng,SUN Ming.Detection of Ammonia Nitrogen in Seawater in Aquaculture Based on Microfluidics and Colorimetric Spectroscopy[J].Transactions of the Chinese Society of Agricultural Machinery,2020,51(S1):397-404. |
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| Authors: | SHI Jiahui YU Yaguang YANG Pu DONG Feng SUN Ming |
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| Institution: | China Agricultural University |
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| Abstract: | To obtain real-time and accurate ammonia nitrogen content in aquaculture seawater, taking ammonia nitrogen as the research object, the colorimetric reaction of indophenol blue method was carried out on the basis of colorimetric spectroscopy combined with microfluidic technology to realize the quantitative detection of ammonia nitrogen in solution. After processing the data, a corresponding model was established and the effects of different spectral preprocessing and different sample set partitioning algorithms on the establishment of the detection model were compared, in which after the multiplication scatter correction, the partial least squares (PLS) regression model established by the wavelet smoothing preprocessing method combined with the sorting method to divide the sample set had the best effect. The root mean standard error of calibration (RMSEC) and the root mean standard error of prediction (RMSEP) were respectively 0.0566mg/L and 0.0677mg/L, the relative analytical error (RPD) was 6.8932;the linear range and detection limit of the method measured under optimized conditions were 0.005~1.350mg/L and 0.0036mg/L, respectively. The standard recovery experiment was carried out on seawater, tap water and acquaculture water bodies. The average recovery rate was between 94% and 109%, and the relative standard deviation was between 2.3% and 5.8%. The results showed that the experimental modeling effect was good, the operation was simple and convenient, and the experiment was fast, reliable, and pollution-free. It showed that the method of detecting ammonia nitrogen using colorimetric spectroscopy combined with microfluidic technology was feasible. |
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| Keywords: | aquaculture ammonia nitrogen microfluidics colorimetry predictive model spectral analysis |
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