Phase resolved method using the Hill-Climbing Metaheuristic Algorithm applied for the spectral separation from photoacoustic spectra of chilli pepper skin and yellow corn pericarp

J. Jaime, J. Hernández-Wong, U. Nogal, A. Rojas, A. Calderón, J. B. Rojas-Trigos, R. Muñoz, G. Juárez-Gracia, A. M. Mansanares, E. Marin

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The phase-resolved method has been widely used in photoacoustic spectroscopy for separating the contribution of different optical absorption centers to a spectrum. However, the procedure is lengthy, tedious and without precision control, because one has to calculate several spectra to search for the phase angle at which only one contribution is present every time. In this work, this limitation is avoided by the implementation of a method as a search and optimization problem using the Hill Climbing Metaheuristic Algorithm. As test examples, the photoacoustic spectra of chilli fruit skin of Anaheim type (Capsicum Annuum L.) and yellow corn grain pericarp of dent type (Zea Mays L.) were analyzed in the wavelength ranges where there is optical absorption of the photoprotective pigments of these samples.

Original languageEnglish
Pages (from-to)143-148
Number of pages6
JournalMeasurement: Journal of the International Measurement Confederation
Volume138
DOIs
StatePublished - 1 May 2019

Fingerprint

peppers
corn
Photoacoustic effect
Light absorption
Skin
Photoacoustic spectroscopy
optical absorption
Fruits
Pigments
photoacoustic spectroscopy
fruits
pigments
Wavelength
phase shift
optimization
wavelengths
Local search (optimization)

Keywords

  • Chilli fruit skin
  • Corn grain pericarp
  • Hill Climbing Metaheuristic Algorithm
  • Phase resolved method
  • Photoacoustic spectroscopy

Cite this

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title = "Phase resolved method using the Hill-Climbing Metaheuristic Algorithm applied for the spectral separation from photoacoustic spectra of chilli pepper skin and yellow corn pericarp",
abstract = "The phase-resolved method has been widely used in photoacoustic spectroscopy for separating the contribution of different optical absorption centers to a spectrum. However, the procedure is lengthy, tedious and without precision control, because one has to calculate several spectra to search for the phase angle at which only one contribution is present every time. In this work, this limitation is avoided by the implementation of a method as a search and optimization problem using the Hill Climbing Metaheuristic Algorithm. As test examples, the photoacoustic spectra of chilli fruit skin of Anaheim type (Capsicum Annuum L.) and yellow corn grain pericarp of dent type (Zea Mays L.) were analyzed in the wavelength ranges where there is optical absorption of the photoprotective pigments of these samples.",
keywords = "Chilli fruit skin, Corn grain pericarp, Hill Climbing Metaheuristic Algorithm, Phase resolved method, Photoacoustic spectroscopy",
author = "J. Jaime and J. Hern{\'a}ndez-Wong and U. Nogal and A. Rojas and A. Calder{\'o}n and Rojas-Trigos, {J. B.} and R. Mu{\~n}oz and G. Ju{\'a}rez-Gracia and Mansanares, {A. M.} and E. Marin",
year = "2019",
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T1 - Phase resolved method using the Hill-Climbing Metaheuristic Algorithm applied for the spectral separation from photoacoustic spectra of chilli pepper skin and yellow corn pericarp

AU - Jaime, J.

AU - Hernández-Wong, J.

AU - Nogal, U.

AU - Rojas, A.

AU - Calderón, A.

AU - Rojas-Trigos, J. B.

AU - Muñoz, R.

AU - Juárez-Gracia, G.

AU - Mansanares, A. M.

AU - Marin, E.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - The phase-resolved method has been widely used in photoacoustic spectroscopy for separating the contribution of different optical absorption centers to a spectrum. However, the procedure is lengthy, tedious and without precision control, because one has to calculate several spectra to search for the phase angle at which only one contribution is present every time. In this work, this limitation is avoided by the implementation of a method as a search and optimization problem using the Hill Climbing Metaheuristic Algorithm. As test examples, the photoacoustic spectra of chilli fruit skin of Anaheim type (Capsicum Annuum L.) and yellow corn grain pericarp of dent type (Zea Mays L.) were analyzed in the wavelength ranges where there is optical absorption of the photoprotective pigments of these samples.

AB - The phase-resolved method has been widely used in photoacoustic spectroscopy for separating the contribution of different optical absorption centers to a spectrum. However, the procedure is lengthy, tedious and without precision control, because one has to calculate several spectra to search for the phase angle at which only one contribution is present every time. In this work, this limitation is avoided by the implementation of a method as a search and optimization problem using the Hill Climbing Metaheuristic Algorithm. As test examples, the photoacoustic spectra of chilli fruit skin of Anaheim type (Capsicum Annuum L.) and yellow corn grain pericarp of dent type (Zea Mays L.) were analyzed in the wavelength ranges where there is optical absorption of the photoprotective pigments of these samples.

KW - Chilli fruit skin

KW - Corn grain pericarp

KW - Hill Climbing Metaheuristic Algorithm

KW - Phase resolved method

KW - Photoacoustic spectroscopy

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DO - 10.1016/j.measurement.2019.02.012

M3 - Artículo

VL - 138

SP - 143

EP - 148

JO - Measurement: Journal of the International Measurement Confederation

JF - Measurement: Journal of the International Measurement Confederation

SN - 0263-2241

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