<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Food quality monitoring in the production process is essential. The control of food quality and freshness is of growing interest for both consumer and food industry. Near infrared (NIR) spectroscopy is popular as it does not need any sample preparation. However, NIR spectroscopy is costly and needs reliable calibration. A non-contact, non-destructive optical process is proposed in this work to monitor the quality of the food. It is shown that the reflected phase information can be used to detect the quality of the fruits. The color and the spectral reflectance change with storage. The changes in the spectral feature due to ripening or decay of apples are used to non-destructively monitor the quality of the fruit. A closed relationship between the reflected phase information and degradation is obtained. The developed model is simple, low cost, and does not need extensive calibration as compared to conventional technologies currently used like NIR besides being robust to skin color or appearances of the fruit. The phase-based reflectance spectroscopy could revolutionize the on/inline quality monitoring of the fruits.</p>
</abstract>

Food quality monitoring in the production process is essential. The control of food quality and freshness is of growing interest for both consumer and food industry. Near infrared (NIR) spectroscopy is popular as it does not need any sample preparation. However, NIR spectroscopy is costly and needs reliable calibration. A non-contact, non-destructive optical process is proposed in this work to monitor the quality of the food. It is shown that the reflected phase information can be used to detect the quality of the fruits. The color and the spectral reflectance change with storage. The changes in the spectral feature due to ripening or decay of apples are used to non-destructively monitor the quality of the fruit. A closed relationship between the reflected phase information and degradation is obtained. The developed model is simple, low cost, and does not need extensive calibration as compared to conventional technologies currently used like NIR besides being robust to skin color or appearances of the fruit. The phase-based reflectance spectroscopy could revolutionize the on/inline quality monitoring of the fruits.

Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

running-head

Food quality monitoring in the production process is essential. The control of food quality and freshness is of growing interest for both consumer and food...

Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit

Article Category: Research-Article

Data publikacji: 29 maj 2020

Zakres stron: 1 - 10

Otrzymano: 29 sty 2020

DOI: https://doi.org/10.21307/ijssis-2020-009

Słowa kluczowe
Food quality monitoring, Phase-based reflectance spectrocopy, Polarization imaging, Real-time measurements

© 2020 M. Assaad published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Non-destructive, non-invasive, in-line real-time phase-based reflectance for quality monitoring of fruit

Article Category: Research-Article

Data publikacji: 29 maj 2020

Zakres stron: 1 - 10

Otrzymano: 29 sty 2020

DOI: https://doi.org/10.21307/ijssis-2020-009

Słowa kluczoweFood quality monitoring, Phase-based reflectance spectrocopy, Polarization imaging, Real-time measurements

© 2020 M. Assaad published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Figure 4:

Figure 5:

Figure 6:

Słowa kluczowe
Food quality monitoring, Phase-based reflectance spectrocopy, Polarization imaging, Real-time measurements