Fluorescent Nanosensors
Fluorescent Nanosensors - Related Videos
03:08
Detecting Bacterial Contamination Using Magneto-fluorescent Nanosensors
0 Views •
2025
This video demonstrates a technique to detect bacterial contaminants in food and water samples using nanosensors. The target pathogenic bacteria are detected through a combination of magnetic relaxation and fluorescence emission modalities.
09:04
Foodborne Pathogen Screening Using Magneto-fluorescent Nanosensor: Rapid Detection of E. Coli O157:H7
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Cited by 14 •
2017
The overall goal of this protocol is to synthesize functional nanosensors for the portable, cost-effective, and rapid detection of specifically targeted pathogenic bacteria through a combination of magnetic relaxation and fluorescence emission modalities.
08:17
Fluorescent Nanoparticles for the Measurement of Ion Concentration in Biological Systems
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Cited by 24 •
2011
Fluorescent nanoparticles produced in our lab are used for imaging ion concentrations and ion fluxes in biological systems such as cells during signaling and interstitial fluid during physiological homeostasis.
10:50
Nanosensors to Detect Protease Activity In Vivo for Noninvasive Diagnostics
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Cited by 9 •
2018
Proteases are tightly regulated enzymes involved in fundamental biological processes, and dysregulated protease activity drives progression of complex diseases such as cancer. This method's goal is to create nanosensors that measure protease activity in vivo by producing a cleavage signal that is detectable from host urine and discriminates disease.
09:43
In vivo Near Infrared Fluorescence (NIRF) Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
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Cited by 32 •
2011
We detail a new near-infrared fluorescence (NIRF) catheter for 2-dimensional intravascular molecular imaging of plaque biology in vivo. The NIRF catheter can visualize key biological processes such as inflammation by reporting on the presence of plaque-avid activatable and targeted NIR fluorochromes. The catheter utilizes clinical engineering and power requirements and is targeted for application in human coronary arteries. The following research study describes a multimodal imaging strategy...
FAQs
The recognition element binds a target analyte. This interaction changes the local fluorescent material response, producing a measurable shift in intensity, wavelength, or lifetime. Because the optical signal is linked to target binding, the nanosensor can report chemical or biological conditions within complex environments. In bioengineering, this coupling connects molecular recognition with real-time observation.
Fluorescence intensity reports how bright the signal becomes, whereas wavelength tracks a shift in the optical emission, and lifetime reflects how long fluorescence persists. A nanosensor may use one or more of these changes after analyte recognition. Considering these readout modes helps researchers match the observable optical response to the biological measurement they want to follow.
Energy transfer can couple the fluorescent material to another interacting component, while quenching suppresses fluorescence and aggregation changes the behavior of nearby fluorescent units. These mechanisms provide distinct routes for converting binding or local chemical conditions into an optical change. Recognizing the underlying route is important when interpreting whether a signal reflects altered brightness, spectral position, or fluorescence persistence.
A practical workflow begins by identifying the chemical or biological target, then pairing a fluorescent material with a recognition element that can bind that analyte. The resulting nanosensor is placed in the relevant environment, such as cells, tissues, or an engineered biological system, and the fluorescence response is monitored. Changes in intensity, wavelength, or lifetime provide the measurement.
Fluorescent nanosensors are particularly relevant when the measurement concerns ions, metabolites, pH, or disease-related biomarkers. Their nanoscale format allows optical monitoring in cells, tissues, and engineered biological systems, where conditions may vary over space and time. This combination is useful for examining local biological chemistry and following dynamic changes as they occur.
In bioengineering, these sensors connect optical detection with diagnostics, therapeutic monitoring, and studies of dynamic cellular processes. The same sensing strategy can serve different goals: identifying disease-related biomarkers, observing chemical changes during treatment, or tracking cellular behavior in engineered systems. Small size and optical readout can improve spatial resolution while minimizing sample disruption in complex biological settings.