A mixed-valence cluster of cobalt(II) hexacyanoferrate and fullerene C60-enzyme-based electrochemical glucose sensor was developed. A water insoluble fullerene C60-glucose oxidase (C60-GOD) was prepared and applied as an immobilized enzyme on a glassy carbon electrode with cobalt(II) hexacyanoferrate for analysis of glucose. The glucose in 0.1 M KCl/phosphate buffer solution at pH = 6 was measured with an applied electrode potential at 0.0 mV (vs Ag/AgCl reference electrode). The C60-GOD-based electrochemical glucose sensor exhibited efficient electro-catalytic activity toward the liberated hydrogen peroxide and allowed cathodic detection of glucose. The C60-GOD electrochemical glucose sensor also showed quite good selectivity to glucose with no interference from easily oxidizable biospecies, e.g. uric acid, ascorbic acid, cysteine, tyrosine, acetaminophen and galactose. The current of H 2 O 2 reduced by cobalt(II) hexacyanoferrate was found to be proportional to the concentration of glucose in aqueous solutions. The immobilized C60-GOD enzyme-based glucose sensor exhibited a good linear response up to 8 mM glucose with a sensitivity of 5.60´10 2 nA/mM and a quite short response time of 5 sec. The C60-GOD-based glucose sensor also showed a good sensitivity with a detection limit of 1.61 0 -6 M and a high reproducibility with a relative standard deviation (RSD) of 4.26%. Effects of pH and temperature on the responses of the immobilized C60-GOD/cobalt(II) hexacyanoferrate-based electrochemical glucose sensor were also studied and discussed.

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Streaming services provide people with a seemingly infinite set of entertainment choices. This large set of options makes the decision to view alternative content or stop consuming content altogether compelling. Yet, nearly all experimental studies of the attributes of video content and their ability to influence behavior require that participants view stimuli in their entirety. The present study measured neurophysiologic responses while participants viewed videos with the option to stop viewing without penalty in order to identify signals that capture the neural value of content. A post-video behavioral choice was included to reduce the likelihood that measured neurophysiologic responses were noise rather than signal. We found that a measure derived from neurophysiologic Immersion predicted how long participants would watch a video. Further, the time spent watching a video increased the likelihood that it influenced behavior. The analysis indicates that the neurologic value one receives helps explain why people continue to watch videos and why they are influenced by them.

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