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SUMMARY:An attempt of the quantitative analysis of cyclical constituents i
 n structure of scanning microfluorescence signals from human hairs
DTSTART;VALUE=DATE-TIME:20200713T132800Z
DTEND;VALUE=DATE-TIME:20200713T132900Z
DTSTAMP;VALUE=DATE-TIME:20260717T181148Z
UID:indico-contribution-1871@indico.inp.nsk.su
DESCRIPTION:Speakers: Dmitry Sorokoletov ()\, Maria Chernetskaja (Busker I
 NP SB RAS)\nThe distribution of some chemical elements along human hairs i
 s proved to be an valuable indicator in a range of various cases. It may s
 erve in order to use in medicine\, toxicology\, criminalistics\, forensic\
 , archaeologics\, and so on [1]. However at the present any systematical s
 tudies focusing to analysing these distribution with submillimetrical and 
 tens micron spacial resolution do not exist. We took an attempt to describ
 e qualitatively as well as to test an possibility of the analyse in detail
  such distributions on the example of the limited sample (consisting of fr
 agments of 5 human hairs).\n	Our work was partitioned by two parts: panora
 mical and quantitative. The first part allowed to identify three main type
 s of superposing legible pseudoperiodical cyclical components of elemental
  distribution for all studied hairs. The diapason of all crutial parameter
 s of needed scanning experiments that is optimal for applied equipment for
  ability to process the results (cycles and correlation] between elemental
  signals) by statictical methods with a good quality was also found. The e
 xistence of an amount of strong limitations of these parameters are fully 
 explained by the specifics of using synchrotron radiation sources of secon
 d generation. We can assume that this obstacle results in the existence of
  some principal limits for ability to process a detail analysis of human h
 airs (those are also characteristic for any case of applying a similar equ
 ipment).\n	In the second part of this work we selected a concrete distribu
 tion of fluorescent signal from the sulfur with sufficiently acceptable re
 lation «signal to noise». Two special mathematical methods of analysing 
 time series were applied successfully for a detail analysis of the cyclica
 l part of the signal. The algorithm  «Hilbert-Huang transformation (HHT)
 » [2] found 4 pseudoperiodical constituents\,  the algorithm «Singular S
 pectrum Analysis (SSA)» [3] found 5 preudoperiodiс constituents. The sum
  of all found components is equal initial signal despite of a normally dis
 tributed stochastic noise with very good quality. The shapes of the cyclic
 al components differ from approximating cosines by 10-30 % in average (unt
 il 40-50 % for singular points) for different constituents. The small amou
 nt of determinated pseudoperiodical components may be explained by human m
 ethabolizm intraday cycles as well as the characteristic features [1] of t
 he hair structure.\n	The scanning experiments were carried out at Synchrot
 ron and Terahertz Research (INP SB RAS\, Novosibirsk) and the Kurchatov Co
 mplex of Synchrotron-Neutron Research (KISI\, Moscow) using a confocal X-r
 ay microscope. The work was carried out in the framework of the RFBR proje
 cts no. 19-05-50046. The work was partly done at the shared research cente
 r SSTRC on the basis of the VEPP-4-VEPP-2000 complex at BINP SB RAS\, usin
 g equipment supported by project RFMEFI62119X0022.\n[1] Hair in Toxicology
 . An Important Bio-monitor. \nEdited by Desmond John Tobin. The Royal Soci
 ety of Chemistry 2005\n[2] https://www.mathworks.com/help/signal/ref/hht.h
 tml\n[3] https://www.gistatgroup.com/cat\n\nhttps://indico.inp.nsk.su/even
 t/24/contributions/1871/
LOCATION:
URL:https://indico.inp.nsk.su/event/24/contributions/1871/
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