The relationship between the complexation amount of thorium (Th) and Suwannee River fulvic acid (SRFA) and the changes in Th concentration and pH were studied using differential spectroscopy and 3D excitation-emission matrix fluorescence spectroscopy (3D EEM).
Metallomics seeks to understand the metallobiochemistry of cells and organisms in health and disease. This article explains the principle of laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) for imaging applications and highlights its potential to provide additional insights in bioanalysis and metallomics.
Detecting metal elements in liquid samples cannot be done efficiently by only using LIBS, but when the technique is combined with appropriate membrane materials, rapid analysis of solution samples can be realized.
We investigate the effect of an applied electric field on the laser-induced titanium plasma for laser induced breakdown spectroscopy (LIBS) for the purpose of assessing electron density with respect to laser energy.
Dr. Jeanita Pritchett offers insight on how science, technology, engineering, and math (STEM) students can transition into a successful scientific career after graduation.
In combination with attenuated total reflectance (ATR), Fourier transform infrared (FT-IR) spectroscopy can be used to classify different moss species.
A review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.
In combination with attenuated total reflectance (ATR), Fourier transform infrared (FT-IR) spectroscopy can be used to classify different moss species.
Understanding gallstone formation requires examining their elemental composition. Here, EDS and LIBS were used with PLS-DA to quantify elements found in human gallstones.
A recent study used aluminum foil-assisted ATR-FT-IR spectroscopy to detect acute kidney injury (AKI) in a rat model using plasma samples. The results show how ATR-FT-IR could be used to study more types of clinical samples in the future.
In 1970, marijuana was designated a Schedule I drug under the Controlled Substances Act, making it nearly impossible for laboratories to perform cannabis research. However, medicinal use of cannabis is now legal in Canada and 36 U.S. states, with more joining every year. With the passage of the Farm Bill in 2018, it is now federally legal to grow and process hemp in all 50 states. All of this interest in medical cannabis and CBD has highlighted the need for good analysis methodology in this relatively young market. Cannabis analysis is still developing standardized protocols, requirements, and acceptable testing practices. Typical testing requirements for cannabis and its products include heavy metal analysis, pesticide residue, and the potency of active ingredients such as tetrahydrocannabinol (THC). The terpene content of cannabis is also important. Terpenes have been shown to have beneficial uses for treatment of conditions ranging from cancer and inflammation to anxiety and sleeplessness. It is believed that the combination of terpenes and cannabinoids in cannabis produce a synergistic effect with regard to medical benefits, further elevating its popularity worldwide.
Lamellar structures, which are common in many polymeric materials and biological tissues, can diffract X-rays and give rise to reflections at small scattering angles. Analysis of these scattering features can be used investigate the deformation of lamellar structures at the microstructural length.
Raman spectroscopy is a powerful, label-free spectral imaging technique for biomedical sample measurements. The chemometric approaches described here increase the speed of data acquisition and improve the resolution of Raman images.
Analysis of heavy metals in pet food using ICP–OES was conducted to determine if there were potentially toxic elements present. Many of the samples showed significant concentrations of various toxic metals.
This study provides theoretical and technical support for implementing online detection of cement raw meal components using near-infrared (NIR) spectroscopy.
Accurate determination of the elemental composition of nickel-based alloys is essential, given their use in high-performance equipment. This XRF technique enables rapid and nondestructive detection, as an alternative to existing approaches.
A multiscale convolutional neural network (MsCNN) was used to screen Raman spectra of the hepatitis B serum, achieving higher classification accuracy compared to traditional machine learning methods.
We investigate the effect of an applied electric field on the laser-induced titanium plasma for laser induced breakdown spectroscopy (LIBS) for the purpose of assessing electron density with respect to laser energy.
In this article, it is explored whether THz-TDS combined with LS-SVM can be used to effectively identify the authenticity of Panax notoginseng, a traditional Chinese medicine.
Tunable diode laser absorption spectroscopy (TDLAS) is combined with an extreme learning machine (ELM) model, tailored by genetic algorithm (GA) parameter searching, to produce a more robust analytical method for trace gas analysis of ethylene.
Using confocal Raman imaging and other advanced measurement techniques, we study the localized strain characteristics of tungsten diselenide (WSe2), an important nanomaterial used for optoelectronic device applications.
The field of analytical chemistry is well established. It’s time to develop the field of analytical biology—an emerging discipline that blends various research fields to provide a holistic view of biological phenomena.
Shifted-excitation Raman difference spectroscopy (SERDS) is a technique that is capable of reducing the interference caused by fluorescence and improve the potential of Raman for distinguishing drug compounds in seized samples with fluorescent additives. Here, 43 drugs were analyzed to show the practical application of SERDS.
We propose a theoretical basis using vis-NIR spectroscopy for the development of an online nondestructive testing system for the quality of Nanguo pear fruit.
Double metal cyanide (DMC) can be monitored in real time using an in situ Raman spectroscopy method. In this study, real-time reaction progress information from in situ Raman results enabled researchers to accurately determine the reaction end point of DMC.
“It was a dark and stormy night…” Everyone should begin at least one paper, story, or other publication with that well-worn phrase. This was my chance.
Analysis of heavy metals in pet food using ICP–OES was conducted to determine if there were potentially toxic elements present. Many of the samples showed significant concentrations of various toxic metals.
By extracting the RGB, HSI, and grayscale information from a spectral range of 400–1100 nm and comparing the spectral features of sound and bruised peaches, the authors provided a classification system and theoretical basis for online fruit bruise detection.
A new FID-FM fusion model for infrared measurements of glucose in synthetic samples is proposed, comparing prediction performance to full PLS, SMR, XGBoost, CBR, and DSFPLS modeling methods.