A more successful blueprint for analyzing Raman spectral data is outlined by following the 11 important steps, which are outlined here.
Seven common mistakes in the analysis of Raman spectra can lead to overestimating the performance of a model.
Webinar Date/Time: Thu, Jan 18, 2024 11:00 AM EST
Standard-compliant determination of various parameters including anions (group D), cations (group E), and substance group analysis (group F) in wastewater
Knowledge of atmospheric ammonia concentrations is important, but ammonia is difficult to measure. We report here on the development of a low-cost ammonia measuring differential optical absorption spectroscopy (DOAS) instrument, based on a small sized and low priced spectrograph.
While crystalline silicon (c-Si) is still the material of choice for modern solar cell manufacturing, the drive toward lower cost, more efficient solar cells is prompting a renewed interest in thin-film amorphous silicon (a-Si). In light of this, it is more important than ever to have the ability to quickly identify Si crystallinity, both qualitatively and quantitatively. In this application note, we evaluate how a portable Raman spectrometer can be used in conjunction with a portable video microscope to measure crystallinity.
The photopolymerization curing process of a UV-curable photopolymer was investigated using time-resolved Attenuated Total Reflection spectroscopy.
Analysis of FDA Form 483 observations and warning letters for infrared spectrometers reveals a range of data integrity problems and a lack of laboratory procedures for the technique. Is your laboratory in the same situation?
By combining Raman spectra interpretation with rheometric measurements, molecular conversion from crystalline to amorphous structures for polymers is revealed.
By combining Raman spectra interpretation with rheometric measurements, molecular conversion from crystalline to amorphous structures for polymers is revealed.
By combining Raman spectra interpretation with rheometric measurements, molecular conversion from crystalline to amorphous structures for polymers is revealed.
By combining Raman spectra interpretation with rheometric measurements, molecular conversion from crystalline to amorphous structures for polymers is revealed.
Wednesday, June 23, 2021 at 11am EDT| 8am PDT| 4pm BST|5pm CEST
An arsenic speciation method using LA–ICP-MS was developed to provide a more accurate procedure for the determination of arsenic species in marine oils. It was validated for the analysis of five arsenic species in krill oil, and should also prove useful when quantitating inorganic arsenic species in other marine oils.
An arsenic speciation method using LA–ICP-MS was developed to provide a more accurate procedure for the determination of arsenic species in marine oils. It was validated for the analysis of five arsenic species in krill oil, and should also prove useful when quantitating inorganic arsenic species in other marine oils.
An arsenic speciation method using LA–ICP-MS was developed to provide a more accurate procedure for the determination of arsenic species in marine oils. It was validated for the analysis of five arsenic species in krill oil, and should also prove useful when quantitating inorganic arsenic species in other marine oils.
A simple analytical method, requiring no sample pretreatment, was developed for determination of chromium, iron, nickel, and zinc in mouthwash by inductively coupled plasma‒optical emission spectrometry (ICP-OES). This method allowed the study of potential migration by iron, chromium, and nickel from stainless steel containers.
A simple analytical method, requiring no sample pretreatment, was developed for determination of chromium, iron, nickel, and zinc in mouthwash by inductively coupled plasma‒optical emission spectrometry (ICP-OES). This method allowed the study of potential migration by iron, chromium, and nickel from stainless steel containers.
A simple analytical method, requiring no sample pretreatment, was developed for determination of chromium, iron, nickel, and zinc in mouthwash by inductively coupled plasma‒optical emission spectrometry (ICP-OES). This method allowed the study of potential migration by iron, chromium, and nickel from stainless steel containers.
In this study, atmospheric pressure photoionization (APPI) is compared to the default ionization method, electrospray ionization (ESI), for solution-phase samples. These mass spectrometry methods are compared and optimized relative to artificial wastewater for the detection and quantitation of pharmaceuticals frequently found as environmental contaminants.
In this study, atmospheric pressure photoionization (APPI) is compared to the default ionization method, electrospray ionization (ESI), for solution-phase samples. These mass spectrometry methods are compared and optimized relative to artificial wastewater for the detection and quantitation of pharmaceuticals frequently found as environmental contaminants.
In this study, atmospheric pressure photoionization (APPI) is compared to the default ionization method, electrospray ionization (ESI), for solution-phase samples. These mass spectrometry methods are compared and optimized relative to artificial wastewater for the detection and quantitation of pharmaceuticals frequently found as environmental contaminants.
In this study, atmospheric pressure photoionization (APPI) is compared to the default ionization method, electrospray ionization (ESI), for solution-phase samples. These mass spectrometry methods are compared and optimized relative to artificial wastewater for the detection and quantitation of pharmaceuticals frequently found as environmental contaminants.
In this study, atmospheric pressure photoionization (APPI) is compared to the default ionization method, electrospray ionization (ESI), for solution-phase samples. These mass spectrometry methods are compared and optimized relative to artificial wastewater for the detection and quantitation of pharmaceuticals frequently found as environmental contaminants.
The morphology and gap spacing of nano-island film SERS substrates are key factors defining the properties of analyte‒substrate interactions. These results of the study described here have implications for understanding signal variation in SERS and in designing future SERS assays.