Near Infrared Sensor
Near Infrared Sensor - Related Videos
08:11
Infrared Spectroscopy
0 Views •
2023
Source: Vy M. Dong and Zhiwei Chen, Department of Chemistry, University of California, Irvine, CA This experiment will demonstrate the use of infrared (IR) spectroscopy (also known as vibrational spectroscopy) to elucidate the identity of an unknown compound by identifying the functional group(s) present. IR spectra will be obtained on an IR spectrometer using the attenuated total reflection (ATR) sampling technique with a neat sample of the unknown.
09:14
Glovebox and Impurity Sensors
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2023
Source: Tamara M. Powers, Department of Chemistry, Texas A&M University The glovebox provides a straightforward means to handle air- and moisture-sensitive solids and liquids. The glovebox is what it sounds like: a box with gloves attached to one or more sides, which allows the user to perform manipulations within the glovebox under an inert atmosphere. For manipulations under inert atmospheres, chemists can choose between Schlenk or high-vacuum techniques and a glovebox. Schlenk and...
09:30
Bacterial Detection & Identification Using Electrochemical Sensors
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Cited by 6 •
2013
We describe an electrochemical sensor assay method for rapid bacterial detection and identification. The assay involves a sensor array functionalized with DNA oligonucleotide capture probes for ribosomal RNA (rRNA) species-specific sequences. Sandwich hybridization of target rRNA with the capture probe and a horseradish peroxidase-linked DNA oligonucleotide detector probe produces a measurable amperometric current.
10:23
Glutamine Flux Imaging Using Genetically Encoded Sensors
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Cited by 7 •
2014
This article will demonstrate how to monitor glutamine dynamics in live cells using FRET. Genetically encoded sensors allow real-time monitoring of biological molecules at a subcellular resolution. Experimental design, technical details of the experimental settings, and considerations for post-experimental analyses will be discussed for genetically encoded glutamine sensors.
05:15
An Aptamer-based Sensor for Unchelated Gadolinium(III)
0 Views •
2017
The use of polydeoxynucleotide (44-mer aptamer) molecules for sensing unchelated gadolinium(III) ion in an aqueous solution is described. The presence of the ion is detected via an increase in the fluorescence emission of the sensor.
FAQs
The measured signal arises when near infrared light interacts with molecular bonds and is absorbed at wavelengths associated with overtone and combination vibrations. These features are weaker and more complex than fundamental vibrations, so the resulting spectrum contains overlapping information from several constituents. Analyzing those patterns allows researchers to relate optical measurements to sample composition.
C–H, O–H, and N–H bonds produce overtone and combination vibration patterns within the near infrared region. Because these groups occur in water, proteins, lipids, and other biomolecular components, their spectral contributions can provide information about biochemical composition. Their overlapping signals also explain why interpretation commonly requires calibration models and chemometric analysis.
A Near Infrared Sensor can examine how much light a sample absorbs, transmits, or reflects. Each measurement mode expresses the interaction between the optical signal and the material in a different way, while all can contain composition-related information. Selecting among these signals depends on the sample and the type of biochemical property being evaluated.
Calibration models connect complex near infrared spectra with known biochemical measurements, while chemometric analysis extracts useful quantitative relationships from overlapping spectral features. The sensor therefore does not provide composition values through a single isolated wavelength alone. Together, these tools translate optical data into estimates of water, protein, lipid, or other component levels.
A typical workflow collects the sample’s near infrared response through absorption, transmission, or reflection, then converts the measured signal into spectral data for analysis. Researchers apply an appropriate calibration model and chemometric treatment to relate those data to composition or properties. The resulting estimates can then be used to characterize the sample or monitor changes over time.
Near infrared sensing can support analysis of tissues, foods, and biological fluids. Within these materials, measurements may provide information about water, proteins, lipids, and other biomolecular components. This broad sample range makes the approach relevant to biochemical research as well as analyses where rapid assessment is useful and minimizing sample damage is important.
The approach supports rapid, minimally destructive assessment of composition and material properties, allowing samples to be examined without relying on extensive physical alteration. In biochemical research, it can track constituents such as water, proteins, and lipids in varied sample types. In process monitoring, calibrated spectral measurements can help follow composition-related changes as they occur.