| 英文摘要 |
In this paper, we propose a calibration-free pH sensing system for detecting spoilage in seafood and meat. As storage time increases, seafood and meat begin to spoil due to microbial decomposition of proteins, fats, and carbohydrates, producing organic acids and ammonia. These byproducts alter the odor and color of the food, leading to spoilage. After death, seafood and meat undergo glycolysis, causing the pH to initially decrease. However, during the spoilage process, the pH gradually rises, becoming more alkaline. By measuring the pH of seafood and meat using the proposed calibration-free pH sensing system, the spoilage time can be accurately determined. For system design, this study employs the Silicon Labs EFM32 microcontroller, based on the ARM Cortex-M3 architecture, as the control core. It is paired with a liquid pH test strip, the Humming Probe UH1, developed by SuperExtreme Biotech. This test strip converts the pH value of the sample into a voltage signal, which is processed by the analog-to-digital converter (ADC) of the EFM32 microcontroller. The data is then transmitted via the EFM32’s universal asynchronous receiver-transmitter (UART) to a PC-based LabVIEW human-machine interface (HMI) for real-time pH measurement display. For system validation, commercially available pH calibration solutions were used to establish the calibration curve of the pH sensing system, and the results were compared with those obtained from commercial pH meters. Experimental results indicate that the proposed system exhibits the same trend as commercial pH meters. When applied to seafood and meat spoilage detection, the system demonstrated that the pH of seafood changes significantly after approximately five hours, while meat exhibits noticeable changes between eleven and fourteen hours. These distinct pH variations can be used to determine the spoilage time of seafood and meat. The proposed calibration-free pH sensing system effectively monitors food spoilage by tracking pH changes, thereby preventing food deterioration, ensuring real-time food quality control, and enhancing food safety. Additionally, it contributes to the prevention of foodborne illnesses. |