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Using multifractal analysis of ultra-weak photon emission from germinating wheat seedlings to differentiate between two grades of intoxication with potassium dichromate

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    0437434 - ÚFE 2015 RIV GB eng C - Conference Paper (international conference)
    Scholkmann, F. - Cifra, Michal - Moraes, T.A. - Gallep, C.M.
    Using multifractal analysis of ultra-weak photon emission from germinating wheat seedlings to differentiate between two grades of intoxication with potassium dichromate.
    9TH INTERNATIONAL FROHLICH'S SYMPOSIUM: ELECTRODYNAMIC ACTIVITY OF LIVING CELLS (INCLUDING MICROTUBULE COHERENT MODES AND CANCER CELL PHYSICS). Vol. 329. Bristol: IOP, 2011 - (Cifra, M.; Pokorny, J.; Kučera, O.), 012020. ISSN 1742-6588.
    [9th International Frohlich's Symposium on Electrodynamic Activity of Living Cells - Including Microtubule Coherent Modes and Cancer Cell Physics. Praha (CZ), 01.07.2011-03.07.2011]
    R&D Projects: GA ČR GPP102/10/P454
    Institutional research plan: CEZ:AV0Z20670512
    Keywords : Detrended moving average * Classification system * Multi fractals
    Subject RIV: JA - Electronics ; Optoelectronics, Electrical Engineering

    The aim of the present study was to test whether the multifractal properties of ultra-weak photon emission (UPE) from germinating wheat seedlings (Triticum aestivum) change when the seedlings are treated with different concentrations of the toxin potassium dichromate (PD). To this end, UPE was measured (50 seedlings in one Petri dish, duration: approx. 16.6-28 h) from samples of three groups: (i) control (group C, N = 9), (ii) treated with 25 ppm of PD (group G(25), N = 32), and (iii) treated with 150 ppm of PD (group G(150), N = 23). For the multifractal analysis, the following steps where performed: (i) each UPE time series was trimmed to a final length of 1000 min; (ii) each UPE time series was filtered, linear detrended and normalized; (iii) the multifractal spectrum (f(alpha)) was calculated for every UPE time series using the backward multifractal detrended moving average (MFDMA) method; (iv) each multifractal spectrum was characterized by calculating the mode (alpha(mode)) of the spectrum and the degree of multifractality (Delta alpha); (v) for every UPE time series its mean, skewness and kurtosis were also calculated; finally (vi) all obtained parameters where analyzed to determine their ability to differentiate between the three groups.
    Permanent Link: http://hdl.handle.net/11104/0241010

     
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