Photoacoustic Laser System for Food Fraud Detection

Fiorani, Luca; Artuso, Florinda; Giardina, Isabella; Lai, Antonia; Mannori, Simone; Puiu, A.

doi:10.3390/s21124178

Cited by 14 publications

(14 citation statements)

References 21 publications

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“…The LPAS system has been detailed elsewhere [29], and thus only a summary description will be given here; its block diagram is given in Figure 2. The continuous wave (cw) emitted by a quantum cascade laser (QCL) is chopped at an audio frequency and irradiates the sample inside the photoacoustic (PA) cell.…”

Section: Lpas Analysismentioning

confidence: 99%

“…Main advantages offered by LPAS are the possibility to per-form non-destructive measurements, real time operation, high resolution, and no need for sample manipulation. For these characteristics, LPAS has already been successfully applied both in the horticulture field, to detect pathogen attack, and in post-harvest shelf-life analysis [25][26][27][28], as well as in fraud detection [29].…”

Section: Introductionmentioning

confidence: 99%

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Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis

Pucci

Palumbo

Puiu

et al. 2022

Foods

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Olives and olive products are particularly important for the national agroindustrial sector, for the aspects related to the production territory (authenticity), and for the link with the Mediterranean Diet. Several studies indicate that the elemental profile of olive and olive products depends on the production area in which the olive trees were grown, and the elemental content of the olives can be used as a marker of the production area. In order to confirm this hypothesis, the multi-elemental profile of olive drupes and olive leaves of eleven cultivars arising from two different production areas was evaluated through ICP-MS and ICP-AES techniques. In addition, some leaf samples were analysed by LPAS in order to evaluate the applicability of this new analytical technique for determining the geographic origin. The obtained results, combined with chemometric tools, showed the possibility of discriminating samples according to the production area on the basis of the elemental content, as well as by LPAS.

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Section: Lpas Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis

Pucci

Palumbo

Puiu

et al. 2022

Foods

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show abstract

“…The most recent "Article" showed the application of a smart pansharpening approach using kernel-based image filtering, as an example of numerous applications of remote sensing image fusion in monitoring, metrology, and agriculture [18]. Another application of innovative technologies is given by Fiorani et al [19] on the use of a photoacoustic laser system for food fraud detection as a reliable technique for the rapid screening of counterfeited ingredients in the supply chain, which needs further development.…”

Section: Resultsmentioning

confidence: 99%

Metrology, Agriculture and Food: Literature Quantitative Analysis

Durazzo¹,

Souto

Lombardi‐Boccia³

et al. 2021

Agriculture

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Great attention has been given in recent years to the relationships between metrology, agriculture, and food. This study aims at providing an analysis of the literature regarding the relationships between metrology, agriculture, and food. The Scopus online database has been used to extract bibliometric data throughout the search string: TITLE-ABS-KEY (Metrology* AND Agriculture* OR Food*), and the VOSviewer bibliometric software was used to visualize results as bubble maps. The novelty character of this perspective paper is to indicate and point out the main research themes/lines addressing the relationships between metrology, agriculture, and food by analyzing: (i) the authors of the published papers; (ii) the type of paper; (iii) the countries and institutions where the research is developed. Bibliometrics allows one to holistically examine entire scientific areas or sub-fields to get new qualitative and quantitative insights. These results represent a useful tool for identifying emerging research directions, collaboration networks, and suggestions for more in-depth literature searches.

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“…The adulteration is rife in almost all agricultural food products. Since distinguishing the adulterant with look-alike food products is difficult with naked eye visual observation, LPAS could be applied as a fast and nondestructive method to detect any kind of food adulteration [26][27][28].…”

Section: Discussionmentioning

confidence: 99%

Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis

Puiu

Fiorani

Giubileo

et al. 2021

Food Science and Engineering

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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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Photoacoustic Laser System for Food Fraud Detection

Cited by 14 publications

References 21 publications

Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis

Characterization and Discrimination of Italian Olive (Olea europaea sativa) Cultivars by Production Area Using Different Analytical Methods Combined with Chemometric Analysis

Metrology, Agriculture and Food: Literature Quantitative Analysis

Quantum Cascade Laser Photoacoustic Spectroscopy Applied to Rice Flour Analysis

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