Glucose Lactate Ph Sensing
Glucose Lactate Ph Sensing - Related Videos
11:10
Membrane Potential Dye Imaging of Ventromedial Hypothalamus Neurons From Adult Mice to Study Glucose Sensing
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Cited by 8 •
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The activity of single neurons from adult-aged mice can be studied by dissociating neurons from specific brain regions and using fluorescent membrane potential dye imaging. By testing responses to changes in glucose, this technique can be used to study the glucose sensitivity of adult ventromedial hypothalamic neurons.
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Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing
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03:08
Colorimetric Assay for Quantification of Lactate in Test Samples
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2025
This video describes a colorimetric assay for lactate measurement in cell lysates by using the lactate dehydrogenase enzyme. This enzyme converts lactate into pyruvate, along with the conversion of NAD to NADH that reacts with tetrazolium dyes and gives a colored product that can be measured spectrophotometrically to quantitate the lactate.
04:17
Approximate Number Sense Test
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University A common carnival game is to ask people to guess the number of jellybeans packed into a jar. The chances that anyone will get the exact number right are low. But what about the chances that someone will guess 17 or 147,000? Probably even less than the chances of guessing the correct answer; 17 and 147,000 just seem irrational. Why? After all, if the beans cannot be taken out and counted one-at-a-time, how can someone tell that an...
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In Vitro Glucose Depletion Assay: A Fluorescence-Based Method to Quantify Cellular Glucose Uptake via Extracellular Glucose Depletion Measurement
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2025
This video demonstrates an in vitro assay to indirectly measure intracellular glucose uptake. The assay uses a fluorescently-labeled glucose analog to establish a correlation between extracellular glucose depletion and intracellular glucose uptake.
FAQs
Glucose oxidase and lactate oxidase react with their respective analytes and convert them into products that can be measured electrochemically. Because each enzyme targets a different molecule, the resulting signals provide analyte-specific information. This mechanism allows a bioengineering device to follow glucose and lactate changes continuously rather than relying only on separate, occasional measurements.
pH sensing adds information about hydrogen-ion concentration, which reflects a chemical condition different from glucose or lactate abundance. Combining these readouts helps distinguish changes in substrate-related metabolism from broader shifts in the surrounding biological environment. That additional context is valuable when interpreting cellular activity, physiological status, or changes occurring within a bioprocess.
Integration enables simultaneous, real-time observation of several related indicators instead of examining each measurement in isolation. Glucose and lactate readings describe important metabolic changes, while pH contributes environmental and physiological context. Together, the signals can produce a more informative picture of biological behavior and support the design of systems that respond to changing conditions.
Patterns across the three measurements can reveal changes associated with metabolism and cellular activity. A device may track glucose and lactate as analyte signals while observing pH as a complementary chemical condition. In cell cultures and tissue models, this combined information helps researchers evaluate how the biological system changes over time within its surrounding environment.
Application begins by selecting glucose and lactate enzyme-based detection components together with a pH sensor, then integrating them so the relevant biological fluid or model can be monitored simultaneously. The system is used to collect real-time signals from the chosen setting, such as a cell culture, tissue model, or wearable context, for subsequent metabolic or physiological assessment.
The approach can be applied to biological fluids, cell cultures, tissue models, and wearable systems. In these settings, measurements may support metabolic characterization, assessment of bioprocess performance, or disease monitoring. The same integrated strategy also contributes to developing closed-loop biomedical technologies, where continuously observed chemical information can help guide system behavior.