Fiber-Optic Bragg Grating Sensor for Photothermally Examinating Moisture of MeatOAEI
Fiber-Optic Bragg Grating Sensor for Photothermally Examinating Moisture of Meat
The illegal water injection into meat not only breaks the market equity,but also deteriorates the meat quality and produces harmful substances.In this work,we proposed a fiber Bragg grating(FBG)sensor that enabled fast,quantitative,and in-situ detection of the moisture content of water-injected meat.The FBG was written in the erbium-ytterbium(Er/Yb)co-doped fiber,which could perform the self-photothermal effect by injecting the near infrared laser into the fiber.As the heated fiber sensor probe was inserted into the meat sample,the temperature decreased due to the heat dissipation mediated by moisture.The intracore Bragg grating could monitor the temperature loss by recording the Bragg wavelength shift,which reflected the water content quantitatively.The results revealed that the sensor could complete the detection within 15 s.The sensor's sensitivity to detect changes in the pork water content was theoretically calculated to be 0.090847％.The proposed sensor is expected to provide a novel approach for examination of the meat moisture.
Xiaodong XIE;Enlai SONG;Ziyu YUAN;Yi YIN;Yongkang ZHANG;Qiaochu YANG;Zhiyuan XU;Yang RAN
Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications,Institute of Photonics Technology,Jinan University,Guangzhou 510632,ChinaClinical Laboratory Center,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou 510317,ChinaGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications,Institute of Photonics Technology,Jinan University,Guangzhou 510632,China||Clinical Laboratory Center,The Affiliated Guangdong Second Provincial General Hospital of Jinan University,Guangzhou 510317,China
Optical fiber sensorfiber Bragg gratingactive fiberphotothermal effectheat conductionmeat moisture
《光子传感器（英文版）》 2024 (003)
75-87 / 13
This work was supported by the National Natural Science Foundation of China(Grant No.62335010),the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program(Grant No.2019BT02X105),the Fundamental Research Funds for the Central Universities(Grant No.21623203),and the Guangdong Province College Students Innovation and Entrepreneurship Training Program(Grant No.S202310559031).
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