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Waterless and low temperature keeping alive transportation is considered as a kind of promising technology to improve aquatic animals’ survival and save the transport costs, and monitoring biological signal is useful to improve the transparency and traceability of transportation process. A monitoring method of glucose was presented, which consisted of three components: a signal conditioning circuit, a software digital filter and a prediction method. The signal conditioning circuit was responsible to sense glucose signal by the implantable glucose sensor and signal pretreatment by a hardware filters;the software digital filter can filter and smooth the amplified signal to provide reliable data for the dynamic character analysis. The time series method served to predict change of glucose. Sturgeons were selected as experimental objectives to validate the reliability of the method. The experiment result showed that the implanted glucose sensor can sense data accurately with sensitivity of 27.047mV/nA, the zero drift of 722.83mV and signal output fitting of 0.9608 after signal conditioning circuit;the average absolute error between the predicted value by autoregressive integrated moving average model（ARIMR）and the real sensed value was -0.014mmol/L, and the average relative error was -0.117%, which indicated that the ARIMR model had advantages in prediction accuracy and smoothness compared with other prediction models;the proposed monitoring method can be adopted as a reference value to monitor the change of glucose and obtain the change of biological nutrients during waterless keeping alive transportation of the aquatic product.