Glucose Sensor Design Based on Monte Carlo Simulation
Continuous glucose monitoring based on the minimally invasive implantation of glucose sensor is characterized by high accuracy and good stability. At present, glucose concentration monitoring based on fluorescent glucose capsule sensor is a new development trend. In this paper, we design a fluoresce...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Biosensors |
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| Online Access: | https://www.mdpi.com/2079-6374/15/1/17 |
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| author | Gang Xue Ruiping Zhang Yihao Chen Wei Xu Changxing Zhang |
| author_facet | Gang Xue Ruiping Zhang Yihao Chen Wei Xu Changxing Zhang |
| author_sort | Gang Xue |
| collection | DOAJ |
| description | Continuous glucose monitoring based on the minimally invasive implantation of glucose sensor is characterized by high accuracy and good stability. At present, glucose concentration monitoring based on fluorescent glucose capsule sensor is a new development trend. In this paper, we design a fluorescent glucose capsule sensor with a design optimization study. The motion trajectory of incident light in the fluorescent gel layer is simulated based on the Monte Carlo method, and the cloud maps of light intensity with the light intensity distribution at the light-receiving layer are plotted. Altering the density of fluorescent molecules, varying the thickness of tissue layers, and adjusting the angle of incidence deflection, the study investigates the influence of these parameter changes on the optimal position of reflected light at the bottom. Finally, the simulation results were utilized to design and fabricate a fluorescent glucose capsule sensor. Rabbit subcutaneous tissue glucose level tests and real-time glucose solution concentration monitoring experiments were performed. This work contributes to the real-time monitoring of glucose levels and opens up new avenues for research on fabricating glucose sensors. |
| format | Article |
| id | doaj-art-ada2fd2760234d8c954994a0b58741f2 |
| institution | Kabale University |
| issn | 2079-6374 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biosensors |
| spelling | doaj-art-ada2fd2760234d8c954994a0b58741f22025-01-24T13:25:26ZengMDPI AGBiosensors2079-63742025-01-011511710.3390/bios15010017Glucose Sensor Design Based on Monte Carlo SimulationGang Xue0Ruiping Zhang1Yihao Chen2Wei Xu3Changxing Zhang4Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaLaboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, ChinaLaboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, ChinaFaculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, ChinaContinuous glucose monitoring based on the minimally invasive implantation of glucose sensor is characterized by high accuracy and good stability. At present, glucose concentration monitoring based on fluorescent glucose capsule sensor is a new development trend. In this paper, we design a fluorescent glucose capsule sensor with a design optimization study. The motion trajectory of incident light in the fluorescent gel layer is simulated based on the Monte Carlo method, and the cloud maps of light intensity with the light intensity distribution at the light-receiving layer are plotted. Altering the density of fluorescent molecules, varying the thickness of tissue layers, and adjusting the angle of incidence deflection, the study investigates the influence of these parameter changes on the optimal position of reflected light at the bottom. Finally, the simulation results were utilized to design and fabricate a fluorescent glucose capsule sensor. Rabbit subcutaneous tissue glucose level tests and real-time glucose solution concentration monitoring experiments were performed. This work contributes to the real-time monitoring of glucose levels and opens up new avenues for research on fabricating glucose sensors.https://www.mdpi.com/2079-6374/15/1/17Monte Carlo simulationglucose sensorbiosensorreal-time monitoring |
| spellingShingle | Gang Xue Ruiping Zhang Yihao Chen Wei Xu Changxing Zhang Glucose Sensor Design Based on Monte Carlo Simulation Biosensors Monte Carlo simulation glucose sensor biosensor real-time monitoring |
| title | Glucose Sensor Design Based on Monte Carlo Simulation |
| title_full | Glucose Sensor Design Based on Monte Carlo Simulation |
| title_fullStr | Glucose Sensor Design Based on Monte Carlo Simulation |
| title_full_unstemmed | Glucose Sensor Design Based on Monte Carlo Simulation |
| title_short | Glucose Sensor Design Based on Monte Carlo Simulation |
| title_sort | glucose sensor design based on monte carlo simulation |
| topic | Monte Carlo simulation glucose sensor biosensor real-time monitoring |
| url | https://www.mdpi.com/2079-6374/15/1/17 |
| work_keys_str_mv | AT gangxue glucosesensordesignbasedonmontecarlosimulation AT ruipingzhang glucosesensordesignbasedonmontecarlosimulation AT yihaochen glucosesensordesignbasedonmontecarlosimulation AT weixu glucosesensordesignbasedonmontecarlosimulation AT changxingzhang glucosesensordesignbasedonmontecarlosimulation |