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中国精品科技期刊2020
穆莉莉, 郭玉祥, 孔兵, 叶嘉明. 微流控芯片中亚硝酸盐的图像分析方法研究[J]. 食品工业科技, 2019, 40(3): 224-227,238. DOI: 10.13386/j.issn1002-0306.2019.03.035
引用本文: 穆莉莉, 郭玉祥, 孔兵, 叶嘉明. 微流控芯片中亚硝酸盐的图像分析方法研究[J]. 食品工业科技, 2019, 40(3): 224-227,238. DOI: 10.13386/j.issn1002-0306.2019.03.035
MU Li-li, GUO Yu-xiang, KONG Bing, YE Jia-ming. Image Analysis Method Investigation of Nitrite Detection in Microfluidic Chip[J]. Science and Technology of Food Industry, 2019, 40(3): 224-227,238. DOI: 10.13386/j.issn1002-0306.2019.03.035
Citation: MU Li-li, GUO Yu-xiang, KONG Bing, YE Jia-ming. Image Analysis Method Investigation of Nitrite Detection in Microfluidic Chip[J]. Science and Technology of Food Industry, 2019, 40(3): 224-227,238. DOI: 10.13386/j.issn1002-0306.2019.03.035

微流控芯片中亚硝酸盐的图像分析方法研究

Image Analysis Method Investigation of Nitrite Detection in Microfluidic Chip

  • 摘要: 为快速检测亚硝酸盐含量,提出一种基于图像分析技术的微流控芯片中亚硝酸盐快速检测方法,微流控芯片中设计两级反应池分别进行亚硝酸盐的初级反应和显色反应,采集显色反应后的图像并进行图像处理,提取显色反应图像,计算相对灰度值表征亚硝酸盐浓度。结果表明,亚硝酸盐溶液在0.5~10 mg/L浓度范围区间,所测显色溶液的相对灰度值与亚硝酸盐浓度呈线性关系,决定系数是0.9927,检出限为0.8 mg/L,检测时间小于10 min;对自来水和腊肉中的亚硝酸盐进行了测定,加标回收率在94.1%~108.0%之间。该方法拓展了微流控芯片中溶液浓度检测方法,具有简便、快速、准确的显著特点。

     

    Abstract: To detect the concentration of nitrite in microfluidic chip, a rapid detection method based on image analysis was proposed. In the microfluidic chip, the two-stage reaction cell was designed to carry out the primary reaction and chromogenic reaction of nitrite respectively. The image was collected and processed when the chromogenic reaction was completed, then the chromogenic reaction area was extracted, and the relative gray value was calculated to characterize the concentration of nitrite. It was found that there was a linear relationship between the gray value of chromogenic solution and the concentration of nitrite when the nitrite concentration range from 0.5 to 10 mg/L. The coefficient of determination was 0.9927, the detection limit was 0.8 mg/L and the detection time was less than 10 min. When this method was applied into the nitrite detection of tap water and bacon, the recovery rate was 94.1%~108.0%. The method proposed in this study extended the detection method of solution concentration in microfluidic chip, has convenient, speedy and accurate features.

     

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