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用于氨氮检测的三维微纳氨气传感芯片及系统研究 被引量:1

Miniaturized 3D Micro/Nano Ammonia Sensor Chip and System for Measurement of Ammonia Nitrogen
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摘要 该文设计并制备了一种多层微结构的安培型氨气三维微纳传感芯片,并构建了以此微传感芯片为敏感单元的氨氮检测系统,探索了使用安培型氨气微传感器检测氨氮的方法。该微传感芯片采用微纳加工工艺制备,使用聚合物键合工艺在较低温度下实现了微传感器多层结构的封装。使用纳米铱作为传感器的敏感材料,其具有良好的电催化氧化能力,可使传感器具有较高的灵敏度。对Ag/AgCl微参比电极的稳定性进行了考察。使用自行设计的氨氮检测系统对氨氮样品进行检测,对微传感器的时间响应特性、浓度响应特性、重复性及选择性进行了测试和分析。实验结果表明,在0.5~10 mg/L的测试范围内,检测电流与氨氮浓度保持良好的线性,灵敏度为1.62μA/(mg/L),线性相关系数为0.995,重复性偏差为5.73%。同时,传感器显示出良好的选择性。 A miniaturized multilayer 3D micro/nano ammonia sensor chip is designed and prepared.An ammonia nitrogen measurement system utilizing such a miniaturized sensor chip is constructed.The method of ammonia nitrogen measurement using a miniaturized amperometric ammonia sensor is investigated.The sensor chip is fabricated by micro/nano fabrication technology.Polymer adhesive bonding method is used to achieve the encapsulation of multilayers of the sensor under relatively low temperature condition.Nanoparticles of iridium which possessses excellent electrocatalysis is utilized to enhance the sensitivity.The stability of micro Ag/AgCl reference electrode is evaluated.Measurement of ammonia nitrogen using the self-designed measurement system is presented.The characterizations of the sensor,including relationship between response and sample concentrations,response times,reproducibility and selectivity are demonstrated.A linear calibration curve between 0.5~10 mg/L is obtained with the sensitivity of 1.62 μA/(mg/L) and the correlation coefficients of 0.995.The Relative Standard Deviation(RSD) is 5.73%.Meanwhile,the results reveal that the sensor possesses good selectivity.
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第5期1257-1262,共6页 Journal of Electronics & Information Technology
基金 国家973计划项目(2009CB320300) 国家自然科学基金(60971070 61072023)资助课题
关键词 微型电化学氨气传感器 三维微纳器件 水质监测 氨氮 Miniaturized electrochemical ammonia sensor 3D micro/nano device Water quality monitoring Ammonia nitrogen
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  • 1蔡淑珍,邓金花,傅妍芳,吴清平.应用便携式比色计测定水中氨氮[J].现代仪器,2010,16(1):77-78. 被引量:1
  • 2Hamlaoui M L,Kherrat R,Marrakchi M,et al..Developmentof an ammonium ISFET sensor with a polymeric membraneincluding zeolite[J].Materials Science and Engineering,C,2002,21(1/2):25-28.
  • 3郑伟,刘文耀,金月寒,梁燕,张宇.便携式海水氨氮自动分析仪的研制[J].分析仪器,2002(2):6-9. 被引量:6
  • 4刘文耀,郑伟,孙振东,姜泓,王香然,陈晓晴,王金涛.基于三电极复合探头的氨氮在线测量[J].天津大学学报(自然科学与工程技术版),2001,34(2):133-136. 被引量:5
  • 5Chou C H,Chang J L,and Zen J M.Effective analysis ofgaseous formaldehyde based on a platinum-depositedscreen-printed edge band ultramicroelectrode coated withNafion as solid polymer electrolyte[J].Sensors and Actuators,B,2010,147(2/3):669-675.
  • 6Park J,Pak Y K,and Pak J J.A microfabricatedreservoir-type oxygen sensor for measuring the real-timecellular oxygen consumption rate at various conditions[J].Sensors and Actuators,B,2010,147(1):263-269.
  • 7Deng X,Wang F,and Chen Z.A novel electrochemical sensorbased on nano-structured film electrode for monitoring nitricoxide in living tissues[J].Talanta,2010,82(4):1218-1224.
  • 8Achmann S,Hammerle M,Kita J,et al..Miniaturized lowtemperature co-fired ceramics(LTCC)biosensor foramperometric gas sensing[J].Sensors and Actuators,B,2008,135(1):89-95.
  • 9Pacheco B D,Valério J,Angnes L,et al..Fast batch injectionanalysis of H2O2 using an array of Pt-modified goldmicroelectrodes obtained from split electronic chips[J].Analytica Chimica Acta,2011,696(1/2):53-58.
  • 10Wang P,Liu Y,Abruna H D,et al..Micromachined dissolvedoxygen sensor based on solid polymer electrolyte[J].Sensorsand Actuators,B,2011,153(1):145-151.

二级参考文献11

共引文献8

同被引文献22

  • 1徐祖信.我国河流单因子水质标识指数评价方法研究[J].同济大学学报(自然科学版),2005,33(3):321-325. 被引量:380
  • 2张珏.基于无线传感器网络的水质在线监测系统研究[D].重庆大学,2010.
  • 3ZHOU J, LIU L F, GUO J, et al. Multisensor data fusion for water quality evaluation using Dempster-Shafer evidence theory[J]. Interna- tional Journal of Distributed Sensor Networks, 2013, (2): 1-6.
  • 4HALL J, SZABO J. Water sentinel online water quality monitoring as an indicator of drinking water contamination[R]. New York: Environmental Protection Agency, 2005.
  • 5BREHARD T, KRISHNAMURTHY V. Optimal data incest removalin Bayesian decentralized estimation over a sensor network[C]//The IEEE International Conference on Acoustics,Speech and Signal Processing. 2007:173-176.
  • 6WILSON D H, ATKESON C.Simultaneous tracking andactivity recognition (STAR) using many anonymous, binarysensors[C]//The 3rd International Conference onPervasive Computing. 2005: 62-79.
  • 7MASKELL S. A Bayesian approach to fusing uncertain, impreciseand conflicting information[J]. Information Fusion, 2008, 9(2): 259-277.
  • 8BASIR O, YUAN X. Engine fault diagnosis based on multisensory information fusion using dempster-shafer evidencetheory[J]. Information Fusion, 2007,8(4): 379-386.
  • 9ZHU D, GU W. Sensor fusion in integrated circuit faultdiagnosis using a belief function model[J]. International Journalof Distributed Sensor Networks, 2008,4(3):247-261.
  • 10LI J M, LUO S H, JIN J S. Sensor data fusion for accurateeloud presence prediction using Dempster-Shafer evidancetheory[J]. Sensors,2010,10(10): 9384-9396.

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