Diabetes Care · 1982 · 301 citations · 0 references
EngineeringBiochemical SensorsBiomedical EngineeringBiosensing SystemsImplantable SensorsAffinity SensorsBioanalysisClinical ChemistryInsulin DeliveryNew TechniqueBiophysicsSingle Optical FiberImplantable SensorBiochemistryFiber Optic SensingBiophotonicsImplantable DevicesImplantable DeviceBiomedical SensorsAffinity SensorDiabetesBlood Glucose MonitoringMedicineOptical Sensor
The authors aim to develop optical affinity sensors for monitoring glucose and other metabolites in blood plasma. They use a dialysis fiber with immobilized Concanavalin A and fluorescein‑labeled dextran as a competitive ligand, measuring unbound FITC‑dextran through an inserted optical fiber to detect glucose. Initial tests confirm feasibility and physiological‑range sensitivity, though further work is needed to improve sensitivity and response time.
We describe affinity sensors for monitoring various metabolites in blood plasma by optical means. The principle of detection is similar to that used in radioimmunoassays and is based on the competitive binding of a particular metabolite and a fluorescein-labeled analogue with receptor sites specific for the metabolite and the labeled ligand. This concept has been directed toward the development of an affinity sensor for glucose. Concanavalin A, a protein with specific binding character for glucose, was immobilized on the inside surface of a hollow dialysis fiber. Fluorescein-labeled dextran was selected as the competitive labeled ligand. The molecular weight cutoff of the dialysis fiber is low enough to completely retain the 70,000 MW dextran within the fiber lumen while glucose can freely pass through the dialysis membrane. The sensor is completed by inserting a single optical fiber in the lumen of the dialysis fiber, thus allowing measurement of the unbound FITC-dextran. Preliminary tests of the sensor indicated the feasibility of the approach. Sensitivity to glucose in the physiologic range was obtained, but further work will be required to optimize the sensitivity and response time of the sensor.