Multiplex (sensor)

Multiplex is a sensor applied for ecophysiologic research

Multiplex sensor is a hand-held multiparametric optical sensor developed by Force-A. The sensor is a result of 15 years of research on plant autofluorescence conducted by the CNRS (National Center for Scientific Research) and University of Paris-Sud Orsay.[1][2] It provides accurate and complete information on the physiological state of the crop, allowing real-time and non-destructive measurements of chlorophyll and polyphenols contents in leaves and fruits.

Technology

Multiplex assesses the chlorophyll and polyphenols indices by making use of two attributes of plant fluorescence: the effect of fluorescence re-absorption by chlorophyll and screening effect of polyphenols. The sensor is an optical head which contains:

  • Optical sources (UV, blue, green and red)
  • Detectors (blue-green or yellow, red and far-red (NIR))

Applications

Alongside with other data, Multiplex is designed to provide input for decision support systems (DSS) for a range of crops, including:

  • Fertilization applications[3]
  • Crop quality assessments (nitrogen status,[4][5] maturity,[6] freshness[7] and disease detection[8])

As a standalone sensor, Multiplex is a tool for rapid collection of information concerning chlorophyll and flavonoids contents of the plant to be applied on ecophysiological research.

References

  1. ^ Four innovative start-ups stemming from CNRS at the European Research and Innovation Exhibition 2009
  2. ^ ESE Presentation - Lab. Ecologie, Systématique, Evolution - Technology Transfer
  3. ^ Lejealle, S., Evain, S., Zerovic, Z.G. (2010) Multiplex: a new diagnostic tool for management of nitrogen fertilization of turfgrass. ICPA 2010, Denver Co USA
  4. ^ Agati, G., Foschi, L., Grossi, N., Guglielminetti, L., Cerovic, Z.G., Volterrani. 2013 Fluorescence-based versus reflectance proximal sensing of nitrogen content in Paspalum vaginatum and Zoysia matrella turfgrasses European Journal of Agronomy. 45:39?51
  5. ^ Ben Abdallah, F. & Goffart, J.P. 2012 Potential indicators based on leaf flavonoids content for the evaluation of potato crop nitrogen status 11th ICPA Indianapolis Mi USA: pp. 1-18
  6. ^ Naïma B. G., N. Moise, G. Latouche, V. Martinon, L. Mercier, E. Besançon and Z.G. Cerovic Assessment of grapevine maturity using a new portable sensor: non-destructive quantification of anthocyanins Archived 2014-10-25 at the Wayback Machine J. Int. Sci. Vigne Vin, special issue Macrowine, June 2010, 1-8
  7. ^ R.G.V. Bramley, M. L. Moigne, S. Evain, J. Ouzman, L. Florin, E.M. Fadaili, C.J. Hinze and Z.G. Cerovic. 2011 On-the-go sensing of grape berry anthocyanins during commercial harvest: development and prospects Aust. J. Grape Wine Res. doi:10.1111/j.1755-0238.2011.00158.x.
  8. ^ Sankaran, S., Ehsani, R. (2013) Detection of Huanglongbing-Infected Citrus Leaves Using Statistical Models with a Fluorescence Sensor. Society for Applied Spectroscopy, doi:10.1366/12-06790.