Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 55,
  • Issue 5,
  • pp. 571-583
  • (2001)

Characterization of Edible Coatings and Microorganisms on Food Surfaces Using Fourier Transform Infrared Photoacoustic Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Fourier transform infrared photoacoustic spectroscopy (FT-IR/PAS) was used to study edible coatings and microorganisms on fruit surfaces (apple and honeydew melon). In the experiment, pregelatinized starch and whey protein concentrate were used to prepare edible coatings, while <i>Saccharomyces cerevisiae</i>, <i>Lactobacillus casei</i>, <i>Escherchia coli</i>, and <i>Staphylococcus aureus</i> were used for microbial study. The spectra obtained from the edible coatings on the apple surface indicate that the FT-IR/PAS technique can effectively distinguish the coating surface and the food substrate by examination of magnitude, phase angle, and generalized two-dimensional (G2D) correlation spectra. Results reported show the first application of FT-IR/PAS to directly differentiate a fruit surface (apple and honeydew melon) with/without microorganisms without elaborate sample preparation. The results demonstrate the potential of FT-IR/PAS to characterize the presence of microorganisms on fruit surfaces.

PDF Article
More Like This
Photoacoustic phase-controlled Fourier-transform infrared spectroscopy

Santeri Larnimaa, Mikhail Roiz, and Markku Vainio
Opt. Continuum 2(3) 564-578 (2023)

Infrared characterization of surfaces and coatings by internal-reflection spectroscopy

E. D. Palik, J. W. Gibson, R. T. Holm, M. Hass, M. Braunstein, and B. Garcia
Appl. Opt. 17(11) 1776-1785 (1978)

High temperature Fourier transform photoacoustic spectroscopy: sample emission effects

S. McGovern, B. S. H. Royce, and J. Benziger
Appl. Opt. 24(10) 1512-1514 (1985)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.