The present invention relates to a novel organic electron-transfer mediator showing an excellent oxidation-reduction potential and a device such as an electrochemical biosensor having improved performance comprising the same.

A measurement device measures changes over time of a concentration of a measurement substance that occurs due to a reaction occurring as a result of a solution containing the analyte being dripped onto an electrode, by measuring an electric current that occurs due to electrolysis of the measurement substance. The measurement device applies a first voltage over a first application time period. The measurement device measures a first electric current flowing due to an application of the first voltage. The measurement device applies a second voltage over a second application time period. The measurement device a second electric current flowing due to an application of the second voltage. The measurement device uses the first electric current to normalize the second electric current and measures a concentration of the measurement substance that has changed based on the reaction or a concentration of the analyte that has changed based on the reaction.

System, method, and computer program product for improving the accuracy of blood glucose measurements in a blood glucose meter by compensating for thermal effects of the glucose meter hardware. A machine learning model is used to predict the reaction site temperature on a blood glucose test strip based on one or more temperature measurements and device status information. The model receives several inputs including at least one temperature measurement sensed near the reaction site as well as device usage and other factors that may influence the reaction site temperature. The model provides a predicted reaction site temperature to the glucometer software or firmware to be used in a blood glucose calculation.

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System, method, and computer program product for improving the accuracy of blood glucose measurements in a blood glucose meter by compensating for thermal effects of the glucose meter hardware. A machine learning model is used to predict the reaction site temperature on a blood glucose test strip based on one or more temperature measurements and device status information. The model receives several inputs including at least one temperature measurement sensed near the reaction site as well as device usage and other factors that may influence the reaction site temperature. The model provides a predicted reaction site temperature to the glucometer software or firmware to be used in a blood glucose calculation.

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A method for quantifying a target substance, comprising: bringing a sample containing the target substance into contact with a biosensor which comprises an enzyme electrode containing an oxidoreductase and a counter electrode; measuring a change in the potential difference between the enzyme electrode and the counter electrode due to oxidation reaction of the target substance catalyzed by the oxidoreductase; and calculating the concentration of the target substance based on the change in the potential difference; wherein a potential is applied between the enzyme electrode and the counter electrode before the measurement of the change in the potential difference.

A method for quantifying a target substance, comprising: bringing a sample containing the target substance into contact with a biosensor which comprises an enzyme electrode containing an oxidoreductase and a counter electrode; measuring a change in the potential difference between the enzyme electrode and the counter electrode due to oxidation reaction of the target substance catalyzed by the oxidoreductase; and calculating the concentration of the target substance based on the change in the potential difference; wherein a potential is applied between the enzyme electrode and the counter electrode before the measurement of the change in the potential difference.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P).sup.+) or derivative thereof; an NAD(P).sup.+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

NADP-dependent oxidoreductase compositions, and electrodes, sensors and systems that include the same. Analyte sensors include an electrode having a sensing layer disposed thereon, the sensing layer comprising a polymer and an enzyme composition distributed therein. The enzyme composition includes nicotinamide adenine dinucleotide phosphate (NAD(P).sup.+) or derivative thereof; an NAD(P).sup.+-dependent dehydrogenase; an NAD(P)H oxidoreductase; and an electron transfer agent comprising a transition metal complex.

To reduce the effect of L-proline in the reaction of a sarcosine oxidase. A modified sarcosine oxidase having reduced reactivity to L-proline is provided.

To reduce the effect of L-proline in the reaction of a sarcosine oxidase. A modified sarcosine oxidase having reduced reactivity to L-proline is provided.