Real-time Spectroscopy
Real-time Spectroscopy - Related Videos
07:12
Real-Time Monitoring of Neurocritical Patients with Diffuse Optical Spectroscopies
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Cited by 3 •
2020
Presented here is a protocol for non-invasively monitoring cerebral hemodynamics of neurocritical patients in real-time and at the bedside using diffuse optics. Specifically, the proposed protocol uses a hybrid diffuse optical systems to detect and display real-time information on cerebral oxygenation, cerebral blood flow and cerebral metabolism.
08:27
Real-Time, Noninvasive Evaluation of Mitochondrial Function Using Resonance Raman Spectroscopy
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2026
We present a noninvasive, real-time method for monitoring mitochondrial health using Resonance Raman Spectroscopy (RRS). We used RRS to quantify mitochondrial redox states and developed a metric for mitochondrial health, the Resonance Raman reduced mitochondrial ratio (3RMR), which shows a faster response to changes in oxygenation than traditional blood-gas analytes.
07:05
A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
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Cited by 5 •
2017
The ability to induce and/or control neural plasticity may be critical in future treatments for neurologic disorders and the recovery from brain injury. In this paper, we present a protocol on the use of neurofeedback training with functional magnetic resonance imaging to modulate human brain function.
12:47
Regeneration of Arrayed Gold Microelectrodes Equipped for a Real-Time Cell Analyzer
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Cited by 8 •
2018
This protocol describes a general strategy to regenerate commercial arrayed gold microelectrodes equipped for a label-free cell analyzer aimed at saving on the high running costs ofmicrochip-based assays. The regeneration process includes trypsin digestion, rinsing with ethanol and water, and a spinning step, which enables repeated usage of microchips.
11:05
Capillary Electrophoresis to Monitor Peptide Grafting onto Chitosan Films in Real Time
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Cited by 1 •
2016
Free solution capillary electrophoresis is a fast, cheap and robust analytical method that enables the quantitative monitoring of chemical reactions in real time. Its utility for rapid, convenient and precise analysis is demonstrated here through analysis of covalent peptide grafting onto chitosan films for improved cell adhesion.
FAQs
Changes in absorbance, emission, or vibrational bands provide observable signals of evolving molecular composition and structure. As these features change over time, scientists can associate spectral behavior with reactant consumption, product formation, or the appearance of intermediate species. This links instrumental measurements to chemical transformations and helps interpret what is occurring within the reaction system.
Short measurement intervals preserve the sequence of spectral changes instead of showing only widely separated stages. That temporal detail can expose transient reaction intermediates, show when reactants begin disappearing, and indicate when products emerge. The resulting time-dependent record supports analysis of reaction rates and helps distinguish possible steps within a chemical mechanism.
A final spectrum may show the starting and ending chemical states but not the events connecting them. Continuous or repeated spectral tracking can reveal temporary features that occur between those states, including signals associated with intermediates. Observing these changes gives chemists evidence about how a reaction proceeds, rather than relying only on its final composition.
The workflow begins by collecting spectra at short, defined time intervals while the chemical process proceeds. Scientists then compare changes in relevant absorbance, emission, or vibrational bands across the sequence. Interpreting these trends connects spectral variation with changing composition or structure, allowing the process to be followed without repeatedly removing samples.
Researchers can apply the approach when they need timely insight into chemical behavior during operation. Tracking spectral changes helps monitor a process, evaluate reaction progress, and support optimization decisions as conditions evolve. Because measurements follow the system during operation, the method is also relevant to quality control and to understanding how a process behaves during scale-up.
During scale-up, chemical behavior may need to be assessed under operating conditions rather than inferred only from isolated samples. Real-time spectral information provides timely evidence of changing composition and structure, helping identify reaction progress and emerging behavior as the process runs. This supports informed monitoring, quality control, and optimization while contributing to safer scale-up decisions.