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Characterization and Performance Evaluation of the TCRT5000 Reflective Optical Sensor for Early Detection of Flow Disturbances in an IoT-Based Peristaltic Infusion System

*Hotromasari Dabukke orcid scopus publons  -  Faculty of Science and Technology, Universitas Sari Mutiara Indonesia, Medan, Indonesia, Indonesia
Flora Sijabat  -  Faculty of Pharmacy and Medicine, Science and Technology, Universitas Sari Mutiara Indonesia, Medan, Indonesia, Indonesia
Salomo Sijabat  -  Faculty of Science and Technology, Universitas Sari Mutiara Indonesia, Medan, Indonesia, Indonesia
Sri Ulina  -  Faculty of Science and Technology, Universitas Sari Mutiara Indonesia, Medan, Indonesia, Indonesia
Mhd Aldi Primasyukra  -  Faculty of Science and Technology, Universitas Sari Mutiara Indonesia, Medan, Indonesia, Indonesia
Received: 20 Mar 2026; Revised: 28 Jun 2026; Accepted: 23 Jul 2026; Available online: 31 Aug 2026; Published: 31 Aug 2026.

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Abstract

Flow disturbances in peristaltic infusion systems, including reduced drip rates, unstable dripping, and occlusion, may compromise infusion therapy and increase patient safety risks. This study aimed to characterize the performance of a TCRT5000 reflective optical sensor integrated into an Internet of Things (IoT)-based peristaltic infusion monitoring system for early detection of infusion flow disturbances. The proposed prototype consisted of a TCRT5000 reflective optical sensor for drip detection, a NodeMCU ESP32 for data acquisition and processing, Firebase for cloud-based data storage, and an MIT App Inventor mobile application for real-time monitoring. Experiments were conducted at infusion flow rates of 20, 50, 80, 100, 150, 200, 250, 300, 350, and 400 drops/min. Sensor performance was evaluated through sensitivity, linearity, and repeatability analyses. The results showed that the sensor exhibited a sensitivity ranging from 0.78 to 1.25 ADC/(drops/min) and a highly linear response described by the regression equation y = 1.0082x + 3.2590, with a coefficient of determination R² = 0.9992 and a correlation coefficient r = 0.9996. Repeatability analysis produced coefficients of variation below 5% for most measurements, indicating consistent sensor performance, although slightly higher variations were observed at lower flow rates. These findings demonstrate that the TCRT5000 reflective optical sensor provides reliable sensitivity, linearity, and repeatability, supporting its application as a sensing element in IoT-based infusion monitoring and the development of early infusion flow disturbance detection systems.

Keywords: TCRT5000 reflective optical sensor; Peristaltic infusion; Flow disturbance detection; Internet of Things; Sensor characterization

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Article Info
Section: Articles
Language : EN
  1. Nice. Intravenous Flfluid Therapy In Adults In Hospital 2014
  2. Ayyu Lestari J, - HAA, - AIR, - AS. Sistem Monitoring Dan Kendali Infus Pasien Dari Ruang Sentral Perawat. Jurnal Profesi Insinyur Universitas Lampung 2025;6. Https://Doi.Org/10.23960/Jpi.V6n2.208
  3. Lee JK, Yoon KC, Kim KG. Design Of A Remote Monitoring System Based On Optical Sensors To Prevent Medical Accidents During Fluid Treatment. Applied Sciences (Switzerland) 2021;11. Https://Doi.Org/10.3390/App112110124
  4. Alshorman O, Alshorman B, Masadeh M, Alkahtani F, Al-Absi B. A Review Of Remote Health Monitoring Based On Internet Of Things. Indonesian Journal Of Electrical Engineering And Computer Science 2021;22:297–306. Https://Doi.Org/10.11591/Ijeecs.V22.I1.Pp297-306
  5. M V, N N, A S A, Abhishek A, T S. SMART IV Fluid Control System Using Iot. Interantional Journal Of Scientific Research In Engineering And Management 2024;08:1–6. Https://Doi.Org/10.55041/Ijsrem39888
  6. Firdaus H, Irianto BG, Sumber, Lu J. Analysis Of The Drop Sensors Accuracy In Central Peristaltic Infusion Monitoring Displayed On PC Based Wireless (TCRT5000 Drop Sensor). Journal Of Electronics, Electromedical Engineering, And Medical Informatics 2022;4:42–9. Https://Doi.Org/10.35882/Jeeemi.V4i1.5
  7. Shukla S, Mishra M, Head &. Iot-Driven Infusion Monitoring & Management System. International Journal Of Scientific Research In Engineering And Management (IJSREM 2024. Https://Doi.Org/10.55041/IJSREM36742
  8. Kok CL, Ho CK, Dai Y, Lee TK, Koh YY, Chai JP. A Novel And Self-Calibrating Weighing Sensor With Intelligent Peristaltic Pump Control For Real-Time Closed-Loop Infusion Monitoring In Iot-Enabled Sustainable Medical Devices. Electronics (Switzerland) 2024;13. Https://Doi.Org/10.3390/Electronics13091724
  9. A. RG, P. S, Fadhil TZ. An Efficient Iot Based Biomedical Health Monitoring And Diagnosing System Using Myrio. Telkomnika (Telecommunication Computing Electronics And Control) 2020;18:3050–7. Https://Doi.Org/10.12928/TELKOMNIKA.V18i6.14375
  10. Zilgarayeva A, Smailov N, Pavlov S, Mirzakulova S, Alimova M, Kulambayev B, Et Al. Optical Sensor To Improve The Accuracy Of Non-Invasive Blood Sugar Monitoring. Indonesian Journal Of Electrical Engineering And Computer Science 2024;34:1489–98. Https://Doi.Org/10.11591/Ijeecs.V34.I3.Pp1489-1498
  11. Vishay. Reflective Optical Sensor With Transistor Output TCRT5000, TCRT5000L Vishay Semiconductors Product Summary Part Number Distance For Maximum Ctr Rel (1) (Mm) Distance Range For Relative I Out > 20 % (Mm) Typical Output Current Under Test (2). 2026
  12. Zanini L, Sada C. Droplet-Induced Optical Effects In An Opto-Microfluidic Cross-Configuration System. Physics Of Fluids 2023;35. Https://Doi.Org/10.1063/5.0138475
  13. Afrianda T, Yulkifli Y, Yohandri Y, Asman A. Design And Implementation Of An Iot-Based Intravenous Infusion Monitoring System Using Wireless Sensor Network. Applied Engineering, Innovation, And Technology 2024;1:59–67. Https://Doi.Org/10.62777/Aeit.V1i2.25
  14. Doesburg F, Oelen R, Renes MH, Lourenço PM, Touw DJ, Nijsten MW. Multi-Infusion With Integrated Multiple Pressure Sensing Allows Earlier Detection Of Line Occlusions. BMC Med Inform Decis Mak 2021;21. Https://Doi.Org/10.1186/S12911-021-01668-7
  15. Firdaus H, Irianto Bg, Sumber, Lu J. Analysis Of The Drop Sensors Accuracy In Central Peristaltic Infusion Monitoring Displayed On Pc Based Wireless (Tcrt5000 Drop Sensor). Journal Of Electronics, Electromedical Engineering, And Medical Informatics 2022;4:42–9. Https://Doi.Org/10.35882/Jeeemi.V4i1.5
  16. Dabukke H, Sijabat F, Sijabat S, Panjaitan B. Charm Sains Jurnal Pendidikan Fisika Pemantauan Akurasi Infus Peristaltik Berbasis Sensor Tcrt5000 Dengan Integrasi Sistem Iot Deteksi Gangguan Infus N.D
  17. Sudarmanto A, Poernomo Jb, Suseno Je, Putranto Ab, Basit Ma. A Real-Time Hooke’s Law Experiment Using Iot Mobile Application. Vol. 8. 2026
  18. Espressif. Esp32 Series Datasheet Version 5.2 2.4 Ghz Wi-Fi + Bluetooth ® + Bluetooth Le Soc Including. 2025
  19. App Inventor. Mit App Inventor Getting Started Guide. 2025
  20. Currie’ La, Svehla2 G. International Union Of Pure And Applied Chemistry Analytical Chemistry Division Commission On Analytical Nomenclature* T Nomenclature For The Presentation Of Results Of Chemical Analysis. Vol. 66. 1994

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