摘要
目的:提出一种基于光电探测原理的食品中亚硝酸盐高精度、低成本的定量快速检测方法,并构建搭载微混合芯片的便携式亚硝酸盐检测仪。方法:设计微混合芯片以实现检测样品的快速混合,并通过流体仿真验证芯片混合效率;分析光固化工艺参数对芯片通道打印精度的影响规律并制备了微混合芯片;设计并搭建了亚硝酸盐光电检测系统,分析亚硝酸盐含量与诱导电压的对应关系,并确定系统的检验灵敏度。结果:设计的微混合芯片可以实现检测试剂的高效混合,当置信因子为3时,光电检测系统检测质量浓度极限可达95.7μg/L,系统线性指数的拟合误差为0.9967,平均检测时间可达3 min。结论:光固化技术可实现混合微流控芯片的高精度制备,自主搭建的光电检测系统的检测精度和灵敏性可满足食品中亚硝酸盐的检测需求。
Objective:A high-precision,low-cost quantitative and rapid detection method of nitrite in food based on photoelectric detection principle was proposed,and a portable nitrite detector equipped with microfluidic mixer chip was constructed.Methods:The microfluidic mixer chip was designed to realize the rapid mixing of test samples.The mixing efficiency of the chip was verified by peristaltic fluid simulation.The influence of UV curing parameters on the microfluidic mixer chip channel accuracy was analyzed,the microfluidic mixer chip was prepared.The photoelectric detection system of nitrite was designed and established.The relationship between nitrite content and induced voltage was analyzed,the detection sensitivity of the system was determined.Results:The detection limit of photoelectric detection system could reach 95.7μg/L at a confidence factor of 3.The fitting error of the linear index of the system was 0.9967,the average detection time was 3 min.Conclusion:The UV curing technology can realize the high-precision fabrication of microfluidic mixer chip.The detection accuracy and sensitivity of the self-developed photoelectric detection system can meet the requirements of nitrite detection in food.
作者
庞浩然
解加庆
关其锋
孟晓宇
孙汝千
周福阳
PANG Hao-ran;XIE Jia-qing;GUAN Qi-feng;MENG Xiao-yu;SUN Ru-qian;ZHOU Fu-yang(College of Mechanical and Electronic Engineering,Northwest A&F University,Xianyang,Shaanxi 712100,China)
出处
《食品与机械》
北大核心
2021年第11期50-54,158,共6页
Food and Machinery
基金
中国博士后科学基金(编号:2019M653761)
中央高校基本科研业务费专项资金资助(编号:2452018091)
陕西省自然科学基金项目(编号:2021JQ-173)
西北农林科技大学省级创新创业人才培养计划(编号:S201910712099)
陕西省高层次人才专项计划项目(编号:F2020221008)。
关键词
微流控芯片
亚硝酸盐
光电检测
流体仿真
3D打印
microfluidic chip
nitrite
photoelectric detection
fluid simulation
3D printing
