Monitoring of irritant gas using a whole-cell-based sensor system

被引:8
|
作者
Bohrn, U. [1 ,2 ,3 ]
Stuetz, E. [1 ]
Fuchs, K. [1 ]
Fleischer, M. [1 ]
Schoening, M. J. [2 ]
Wagner, P. [3 ]
机构
[1] Siemens AG, Corp Res & Technol, D-81739 Munich, Germany
[2] Aachen Univ Appl Sci, Inst Nano & Biotechnol, D-52428 Julich, Germany
[3] Univ Hasselt, Inst Mat Res IMO IMOMEC, B-3590 Diepenbeek, Belgium
关键词
Cell-based gas biosensor; Whole-cell sensor; A549; RPMI; 2650; Respiration; Acidification; Impedance; Mid infrared spectroscopy; IN-VITRO EXPOSURE; INDOOR AIR; GASEOUS COMPOUNDS; SENSITIVE LAYER; CULTURE; CYTOTOXICITY; POLLUTANTS; TOXICITY; AMMONIA; BIOSENSORS;
D O I
10.1016/j.snb.2012.05.088
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Cell-based sensors for the detection of gases have long been underrepresented, due to the cellular requirement of being cultured in a liquid environment. In this work we established a cell-based gas biosensor for the detection of toxic substances in air, by adapting a commercial sensor chip (Bionas (R)), previously used for the measurement of pollutants in liquids. Cells of the respiratory tract (A549, RPMI 2650, V79), which survive at a gas phase in a natural context, are used as biological receptors. The physiological cell parameters acidification, respiration and morphology are continuously monitored in parallel. Ammonia was used as a highly water-soluble model gas to test the feasibility of the sensor system. Infrared measurements confirmed the sufficiency of the medium draining method. This sensor system provides a basis for many sensor applications such as environmental monitoring, building technology and public security. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:208 / 217
页数:10
相关论文
共 50 条
  • [41] A sewer sensor monitoring system based on embedded system
    Li, Zhenhao
    Shi, Qingsong
    Hu, Wei
    Li, Yaxin
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 2817 - 2820
  • [42] Odour and Hazardous Gas Monitoring System for Swiftlet Farming using Wireless Sensor Network (WSN)
    Mamduh, Syed M.
    Shakaff, Ali Y. Md.
    Saad, Shaharil M.
    Kamarudin, Kamarulzaman
    Kamarudin, Latifah M.
    Zakaria, Ammar
    Kamarudin, H.
    Ezanuddin, A. M. M.
    Sa'ad, Fathinul S. A.
    Nooriman, W. M.
    Abdullah, Abu H.
    NOSE 2012: 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL ODOUR MONITORING AND CONTROL, 2012, 30 : 331 - 336
  • [43] Sleep Monitoring System Using Kinect Sensor
    Lee, Jaehoon
    Hong, Min
    Ryu, Sungyong
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [44] Sensor Based Low Cost Agriculture Monitoring System Using Polymeric Hydrogel
    Kabir, M. Hasnat
    Ahmed, Kumkum
    Furukawa, Hidemitsu
    MICROFABRICATED AND NANOFABRICATED SYSTEMS FOR MEMS/NEMS 12, 2016, 75 (17): : 49 - 56
  • [45] Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN
    Hwang, Jeonghwan
    Yoe, Hyun
    FUTURE GENERATION INFORMATION TECHNOLOGY, 2010, 6485 : 686 - 698
  • [46] Home monitoring for older singles: A gas sensor array system
    Marin, Daniel
    Llano-Viles, Joshua
    Haddi, Zouhair
    Perera-Lluna, Alexandre
    Fonollosa, Jordi
    SENSORS AND ACTUATORS B-CHEMICAL, 2023, 393
  • [47] A Low Cost Sensor Based Agriculture Monitoring System Using Polymeric Hydrogel
    Kabir, M. Hasnat
    Ahmed, Kumkum
    Furukawa, Hidemitsu
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2017, 164 (05) : B3107 - B3112
  • [48] Maritime vessel emission monitoring by an UAV gas sensor system
    Yuan, Haiwen
    Xiao, Changshi
    Wang, Yanfeng
    Peng, Xin
    Wen, Yuanqiao
    Li, Qiliang
    OCEAN ENGINEERING, 2020, 218
  • [49] Performance in real condition of photonic crystal sensor based NO2 gas monitoring system
    Rahmat, M.
    Maulina, W.
    Rustami, E.
    Azis, M.
    Budiarti, D. R.
    Seminar, K. B.
    Yuwono, A. S.
    Alatas, H.
    ATMOSPHERIC ENVIRONMENT, 2013, 79 : 480 - 485
  • [50] A Design on Monitoring Data Acquisition System Based on ZigBee Sensor Network for Unconventional Gas Wells
    Li, Zhiguo
    Wang, Shubin
    Liu, Dongyu
    Chang, Junfei
    Ge, Yanhong
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2016, 386 : 111 - 120