Luminescence Based Sensing
Luminescence Based Sensing - Related Videos
07:13
Nanostructured Ag-zeolite Composites as Luminescence-based Humidity Sensors
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Cited by 9 •
2016
A protocol for the synthesis of moisture-responsive luminescent Ag-zeolite composites is described in this report.
04:00
Luminescence-Based Assay to Assess Neurotoxicity of Test Compounds on Neurons
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2025
In this video, we describe a luminescence-based method to assess the neurotoxicity of neurite outgrowth-promoting small molecule compounds on the viability of hNPC-derived neurons. The assay measures intracellular ATP level, an indicator of cell viability, to evaluate neurotoxicity following test compound treatment.
02:36
The Luciferase Assay: A High-Throughput Assay to Measure Luminescent Signals Using Engineered Nanoluciferase System-Based Bioreporters
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2025
The video demonstrates the luciferase assay used to quantify luciferase-tagged proteins. The assay uses an engineered luciferase enzyme composed of a large fragment that binds with the small fragment, which is conjugated with a protein of interest. The bound subunits form an active enzyme that, in the presence of the substrate, releases a luminescent signal. This signal is then quantified using a luminometer.
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...
08:19
Hollow Microneedle-based Sensor for Multiplexed Transdermal Electrochemical Sensing
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Cited by 34 •
2012
This article details the construction of a multiplexed microneedle-based sensor. The device is being developed for in situ sampling and electrochemical analysis of multiple analytes in a rapid and selective manner. We envision clinical medicine and biomedical research uses for these microneedle-based sensors.
FAQs
A sensing interaction can modify several measurable properties of emitted light. Emission intensity indicates how much light is produced, wavelength identifies shifts in the color or spectral position, and lifetime captures how long emission persists. Examining one or more of these responses helps distinguish changes caused by an analyte or environmental condition and supports quantitative monitoring in engineering systems.
Quenching reduces the observed luminescence, whereas enhancement increases it when the sensing material interacts with a target or condition. Energy transfer provides another pathway for changing the emitted signal by coupling processes within the sensing system. These mechanisms convert chemical or physical interactions into optical responses that can be measured through changes in intensity, wavelength, or lifetime.
Calibration connects an optical response to the quantity being measured. A change in intensity, wavelength, or lifetime must be related to a known oxygen level, temperature, pressure, chemical concentration, or biological target before it can support quantification. This relationship allows engineers to interpret luminescent signals consistently and use them for monitoring rather than relying only on qualitative detection.
The workflow establishes how a selected luminescent response changes with the target variable. Depending on the application, calibration can relate emission intensity, wavelength, or lifetime to oxygen, temperature, pressure, chemical concentration, or a biological target. The resulting relationship provides the basis for converting measurements from the sensing material into information about conditions within an engineering system.
Remote measurements are valuable when the sensing location is difficult to access or when noncontact operation benefits an engineering system. Miniaturized implementations support compact devices and integrated sensing platforms, while retaining the ability to monitor chemical or physical conditions through optical responses. These features make the approach relevant to smart materials, distributed monitoring concepts, and compact engineering instrumentation.
The approach supports process monitoring, environmental assessment, and structural diagnostics, alongside development of smart materials and integrated sensing platforms. Its optical responses can provide information about oxygen, temperature, pressure, chemical concentrations, or biological targets. Consequently, engineers can apply the measurements to track operating conditions, assess environments, examine structural behavior, or incorporate sensing functions into advanced materials and devices.