基于深度学习的亚硝酸根快速检测实验研究  

Experimental Study on Rapid Detection of Nitrite Based on Deep Learning Algorithms

作　　者：杨丽丽[1] 李周正 徐石海[1,2] 孟建新 YANG Lili;LI Zhouzheng;XU Shihai;MENG Jianxin(Analysis and Testing Center,Jinan University,Guangzhou 510632,China;School of Chemistry and Materials Science,Jinan University,Guangzhou 510632,China)

机构地区：[1]暨南大学分析测试中心,广州510632 [2]暨南大学化学与材料学院,广州510632

出　　处：《实验室研究与探索》2025年第3期47-51,共5页Research and Exploration In Laboratory

摘　　要：由于亚硝酸盐在日常生活中的广泛应用及其对人体的潜在危害,开发一种快速检测亚硝酸根离子的方法显得尤为迫切和重要。介绍了一种新型的亚硝酸根离子快速检测技术,该技术基于亚硝酸根离子与4-氨基苯磺酰胺之间的化学反应生成重氮盐,随后通过N-(1-萘基)-乙二胺的作用形成红色物质。在一定范围内,这种显色反应中的颜色深度与亚硝酸盐浓度呈正相关关系。利用这一特性,将反应后的样品图像输入卷积神经网络(CNN)深度学习模型进行训练。借助深度学习算法强大的识别、归纳和预测能力,成功构建了一个高效的亚硝酸根离子检测模型。为了验证模型的准确性和实用性,还采用了实际样品加标法对其进行了评估。这种方法不仅操作简便、所需设备少且成本低廉,而且能够有效检测目标离子浓度,覆盖3个数量级的范围,非常适合现场环境下的快速分析需求。此外,也尝试将该技术应用于教学实验中,例如通过检测水中亚硝酸根离子的浓度,帮助学生更好地理解和掌握深度学习在定量化学分析中的应用。Nitrite salts are widely used in daily life,but their harm to the human cannot be ignored.Therefore,developing a rapid detection method for nitrite ions has significant practical importance.This article introduces a new rapid detection technology for nitrite ions based on the chemical reaction between nitrite ions and 4-aminobenzenesulfonamide to form diazo salts,followed by the action of N-(1-naphthyl)-ethylenediamine to produce a red substance.The intensity of the color produced in this reaction is positively correlated with the concentration of nitrite within a certain range.Using this characteristic,we input images of the reacted samples into a convolutional neural network(CNN)deep learning model for training.With the powerful identification,induction,and prediction capabilities of deep learning algorithms,we successfully construct an efficient nitrite ion detection model.To verify the accuracy and practicality of the model,we also evaluate it by using actual sample spiking methods.This method is not only simple to operate,requires minimal equipment,and is cost-effective,but also effectively to detect target ion concentrations across three orders of magnitude.Hence,it is very suitable for rapid analysis needs in on-site environments.Additionally,we attempt to apply this technology in teaching experiments,using the detection of nitrite ions in water as an example,to help students better understand and master the application of deep learning in quantitative chemical analysis.

关 键 词：亚硝酸根离子 深度学习算法 快速检测 

分 类 号：O652.1[理学—分析化学]