Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis

Authors

  • Adriana Puiu ENEA, Nuclear Fusion and Safety Technologies Department, Via E. Fermi 45, 00044 Frascati, Italy
  • Luca Fiorani ENEA, Nuclear Fusion and Safety Technologies Department, Via E. Fermi 45, 00044 Frascati, Italy
  • Gianfranco Giubileo ENEA, Nuclear Fusion and Safety Technologies Department, Via E. Fermi 45, 00044 Frascati, Italy
  • Antonia Lai ENEA, Nuclear Fusion and Safety Technologies Department, Via E. Fermi 45, 00044 Frascati, Italy
  • Simone Mannori ENEA, Nuclear Fusion and Safety Technologies Department, Via E. Fermi 45, 00044 Frascati, Italy
  • Wasan Saleh ENEA guest, Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq

DOI:

https://doi.org/10.37256/fse.222021956

Keywords:

rice flour, fast detection, laser spectroscopy, photoacoustic technique, chemometrics

Abstract

In the present work we applied laser photoacoustic spectroscopy (LPAS) to the analysis of food samples. In particular, we analyzed samples of different rice flours (standard and commercial ones). For this purpose, a laboratory system based on quantum cascade laser (QCL) has been developed and characterized. After that, the LPAS spectra of all the rice samples were collected with a standard error of less than 2% of the measured value and a background signal negligible compared to the sample signals. All the experimental LPAS spectra resulted to be rich in spectral features showing clear differences between each other. The experimental spectra were then analyzed by comparison with the FT-IR transition frequency recorded in our laboratory to consent a proper assignment. Finally, to put in evidence the small differences among the various rice types, the Principal Component Analysis (PCA) was applied to the recorded LPAS spectra highlighting five different groups corresponding to the five types of samples. In conclusion, the present work demonstrated the discriminating capability of LPAS technique in the case of different types of rice flour samples.

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Published

2021-09-24

How to Cite

1.
Puiu A, Fiorani L, Giubileo G, Lai A, Mannori S, Saleh W. Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis. Food Science and Engineering [Internet]. 2021 Sep. 24 [cited 2024 Apr. 19];2(2):79-90. Available from: https://ojs.wiserpub.com/index.php/FSE/article/view/956