Paper
2 March 2023 Fresh juice pH evaluation using colorimetry
Ioana-Adriana Potărniche, Ramona Gălătuș, Lorant Szolga
Author Affiliations +
Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 124930Y (2023) https://doi.org/10.1117/12.2643291
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania
Abstract
The quality of the food products that humans consume is a matter of great concern because it directly affects the wellbeing of the consumers. This paper details a low-cost application for the evaluation of the pH values of fresh squishes juices correlated with the quantity of light transmitted through the samples. The juice samples were analyzed using visible sensor and with a pH-meter. The sensor acquires data in the visible domain for six channels between 450 nm and 650 nm. The analysis system was placed within an opaque container to prevent any external light to reach the surface of the visible sensor. Ambiance temperature and humidity within the container were monitored using a digital sensor. The sensors acquired data for three consecutive days. The goal of the application was to identify if there is a correlation between the pH variation and the data acquired with the AS7262 visible sensor. The results have shown that the transmission for the 450 nm channel increases over time for citric fruits (such as grapefruit, lemon and orange), whereas the pH decreases.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ioana-Adriana Potărniche, Ramona Gălătuș, and Lorant Szolga "Fresh juice pH evaluation using colorimetry", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 124930Y (2 March 2023); https://doi.org/10.1117/12.2643291
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Colorimetry

Data acquisition

Back to Top