The calibration model in potassium ion flux non-invasive measurement of plants in vivo in situ

被引:4
|
作者
Xue L. [1 ,2 ,4 ]
Zhao D.-J. [1 ,4 ]
Wang Z.-Y. [1 ,4 ]
Wang X.-D. [5 ]
Wang C. [5 ]
Huang L. [1 ,3 ,4 ]
Wang Z.-Y. [1 ,4 ]
机构
[1] College of Information and Electrical Engineering, China Agricultural University, Beijing
[2] College of Information Technology, Beijing Union University, Beijing
[3] Modern Precision Agriculture System Integration Research Key Laboratory of Ministry of Education, Beijing
[4] Key Laboratory of Agricultural Information Acquisition Technology (Beijing), Ministry of Agriculture, Beijing
[5] National Engineering Research Center for Information Technology in Agriculture, Beijing
来源
Information Processing in Agriculture | 2016年 / 3卷 / 02期
基金
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词
Calibration; In situ; K[!sup]+[!/sup] flux; Plant; SIET;
D O I
10.1016/j.inpa.2016.05.002
中图分类号
学科分类号
摘要
SIET (Self-referencing Ion Electrode Technique) provides a novel electrophysiological tool which can non-invasively measure the dynamic influxes and effluxes of ions caused by the diffusion along the concentration gradients in vivo. However, in this technique ion fluxes are converted to voltage signals using an ion selective microelectrode at a small amplitude of μV, which is easy to be interfered by the ambient noise. Hence, effective solutions to the suppression of noise and calibration of ion flux measurement system are very important for this method. A K+-selective microelectrode was constructed using liquid ion exchangers (LIX) to investigate ion transport over plant tissue. A standard concentration gradient which simulates plant living cells was produced by an electrode with a certain tip diameter, filled with a solution containing a known K+ concentration in 100 mmol/L. An ion diffusion simulation model was established. This model evaluated the performance of ion flux measurement system in accuracy and reliability by comparing the consistency of the measured value and the predicted curve. K+ fluxes were measured within 25 min at each measuring point of distance 10, 20, 30, 40, 50, 80, and 100 μm from the K+ source, respectively. It can be seen that the K+ fluxes changes little, which indicates that ion flux measurement system has a reliable stability. The study provides a theoretical basis for a new non-invasive ion flux measurement method creation and a new sensors design. © 2016 China Agricultural University
引用
收藏
页码:76 / 82
页数:6
相关论文
共 50 条
  • [21] NON-INVASIVE TECHNIQUE FOR IN VIVO HUMAN EAR CANAL VOLUME MEASUREMENT
    Yu, Jen-Fang
    Tsai, Go-Long
    Fan, Chung-Chieh
    Chen, Ching-I
    Cheng, Chia-Chi
    Chen, Cheng-Chung
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2012, 12 (04)
  • [22] NOVEL APPROACH FOR IN VIVO NON-INVASIVE VASCULAR GRAFT COMPLIANCE MEASUREMENT
    Mrowczynski, W.
    de Valence, S.
    Mugnai, D.
    Giliberto, J. P.
    Tille, J. C.
    Kalangos, A.
    Walpoth, B. H.
    INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS, 2011, 34 (08): : 641 - 641
  • [23] Non-invasive, in-vivo measurement of lutein and zeaxanthin in the central retina
    Davey, Pinakin Gunvant
    Gierhart, Dennis L.
    Rowe, Scott
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2018, 59 (09)
  • [24] Non-invasive in situ measurement of the near-wall ion kinetic energy in a magnetically shielded Hall thruster
    Cusson, Sarah E.
    Jorns, Benjamin A.
    Gallimore, Alec D.
    PLASMA SOURCES SCIENCE & TECHNOLOGY, 2019, 28 (10):
  • [25] Innovative non-invasive method for absolute intracranial pressure measurement without calibration
    Ragauskas, A
    Daubaris, G
    Dziugys, A
    Azelis, V
    Gedrimas, V
    Intracranial Pressure and Brain Monitoring XII, 2005, 95 : 357 - 361
  • [26] NON-INVASIVE MEASUREMENT OF MATURITY
    ROCHE, AF
    TYLESHEVSKI, F
    ROGERS, E
    AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 1983, 60 (02) : 246 - 246
  • [27] Non-Invasive Measurement of Stress
    Yildiz, Sedat
    ACTA PHYSIOLOGICA, 2015, 215 : 12 - 13
  • [28] Comparison of Different Calibration Methods in a Non-invasive ICP Assessment Model
    Schmidt, Bernhard
    Cardim, Danilo
    Weinhold, Marco
    Streif, Stefan
    McLeod, Damian D.
    Czosnyka, Marek
    Klingelhoefer, Juergen
    INTRACRANIAL PRESSURE & NEUROMONITORING XVI, 2018, 126 : 79 - 84
  • [29] A non-invasive pipeline heat flux measurement method and application based on CFBG
    Cai, Qihui
    Liu, Mingyao
    Song, Han
    Li, Cong
    Ren, Yunhao
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2024, 235
  • [30] Non-invasive in-vivo glucose-based stress monitoring in plants
    Perdomo, Sammy A.
    De la Paz, Ernesto
    Del Cano, Rafael
    Seker, Sumeyye
    Saha, Tamoghna
    Wang, Joseph
    Jaramillo-Botero, Andres
    BIOSENSORS & BIOELECTRONICS, 2023, 231