Detection of orange juice concentration based on the absorption of visible light
This paper presents a system for detecting orange juice concentration based on the principle of solution absorption of visible light. The system efficiently detects orange juice concentration using visible light communication technology. It utilizes a LED to emit modulated light signals at specific frequencies. By leveraging the differences in absorption and scattering characteristics of orange juice solutions at varying concentrations, the system can determine the concentration of the juice. It features low cost, high sensitivity, and strong anti-interference capabilities, offering significant application value. The system primarily consists of an Arbitrary Waveform Generator (AWG), LED light source, lamp cover, silicon photo diode (PD), and oscilloscope. After passing through the orange juice solution, the specific frequency light signals are received by the silicon photo diode and converted into electrical signals. The oscilloscope measures the peak-to-peak data of the light signals, translating it into signal power levels to obtain the concentration information of the orange juice solution. The raw data are fitted with linear and quadratic functions, yielding R 2 values of 0.91547 and 0.99546, respectively. This system establishes a correlation between the concentration of orange juice and the signal power level converted from received light, based on the absorption and scattering characteristics of the juice solution at specific frequencies. Experimental results demonstrate that the system can accurately detect different concentrations of orange juice solution, showing good linear fit and broad application prospects, suitable for quality monitoring and real-time detection in orange juice production processes.
Authors
- Peng Yu (ORCID: https://orcid.org/0000-0002-7103-7623)
- Lin Gui
- Disen Shang
- Chengxin Mao
- Qinying Wu
- Ziyi Wang (ORCID: https://orcid.org/0000-0002-9604-0335)
Institutions
- Shanghai Polytechnic University (CN)
Publication Details
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1117/12.3039565
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00