Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects
This paper presents a non-contact method for detecting the sugar concentration in solutions based on real-time polarization characteristics and an interaction effects model. The feasibility of using polarization imaging technology for sugar concentration detection is analyzed. By analyzing the Stoke...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Photonics |
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| Online Access: | https://www.mdpi.com/2304-6732/12/4/308 |
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| author | Qiong Gong Tongxiao Lyu Song Ye Xinqiang Wang |
| author_facet | Qiong Gong Tongxiao Lyu Song Ye Xinqiang Wang |
| author_sort | Qiong Gong |
| collection | DOAJ |
| description | This paper presents a non-contact method for detecting the sugar concentration in solutions based on real-time polarization characteristics and an interaction effects model. The feasibility of using polarization imaging technology for sugar concentration detection is analyzed. By analyzing the Stokes parameters, a linear regression model is developed to establish the interaction effects between sugar concentration and both the degree of linear polarization (DoLP) and the angle of linear polarization (AoLP). A three-beam polarization imaging system is used to simultaneously capture the polarization images of sucrose solutions with varying concentrations, and the SIFT algorithm is employed to eliminate image shifts. The results show a strong linear correlation between sugar concentration and both AoLP (R<sup>2</sup> = 0.998) and DoLP (R<sup>2</sup> = 0.968). The addition of the interaction effect model significantly improves the prediction accuracy, with an RMSE of 0.36934 and a relative error within ±5%. This method features a simple experimental setup, enables multi-angle simultaneous measurements, and offers advantages such as non-contact operation, ease of use, and high precision (average relative error < 5%). It provides a new approach for sugar concentration detection in food, industry, and other fields. |
| format | Article |
| id | doaj-art-50435e45b83443afbce446547153fbfe |
| institution | OA Journals |
| issn | 2304-6732 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Photonics |
| spelling | doaj-art-50435e45b83443afbce446547153fbfe2025-08-20T02:18:04ZengMDPI AGPhotonics2304-67322025-03-0112430810.3390/photonics12040308Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction EffectsQiong Gong0Tongxiao Lyu1Song Ye2Xinqiang Wang3School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, ChinaThis paper presents a non-contact method for detecting the sugar concentration in solutions based on real-time polarization characteristics and an interaction effects model. The feasibility of using polarization imaging technology for sugar concentration detection is analyzed. By analyzing the Stokes parameters, a linear regression model is developed to establish the interaction effects between sugar concentration and both the degree of linear polarization (DoLP) and the angle of linear polarization (AoLP). A three-beam polarization imaging system is used to simultaneously capture the polarization images of sucrose solutions with varying concentrations, and the SIFT algorithm is employed to eliminate image shifts. The results show a strong linear correlation between sugar concentration and both AoLP (R<sup>2</sup> = 0.998) and DoLP (R<sup>2</sup> = 0.968). The addition of the interaction effect model significantly improves the prediction accuracy, with an RMSE of 0.36934 and a relative error within ±5%. This method features a simple experimental setup, enables multi-angle simultaneous measurements, and offers advantages such as non-contact operation, ease of use, and high precision (average relative error < 5%). It provides a new approach for sugar concentration detection in food, industry, and other fields.https://www.mdpi.com/2304-6732/12/4/308polarizationStokes vectorsugar concentrationnon-contactinteraction effect model |
| spellingShingle | Qiong Gong Tongxiao Lyu Song Ye Xinqiang Wang Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects Photonics polarization Stokes vector sugar concentration non-contact interaction effect model |
| title | Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects |
| title_full | Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects |
| title_fullStr | Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects |
| title_full_unstemmed | Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects |
| title_short | Research on Sugar Concentration Sensing Based on Real-Time Polarization and Interaction Effects |
| title_sort | research on sugar concentration sensing based on real time polarization and interaction effects |
| topic | polarization Stokes vector sugar concentration non-contact interaction effect model |
| url | https://www.mdpi.com/2304-6732/12/4/308 |
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