Authors
Latest:
Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and ChemometricsIn combination with attenuated total reflectance (ATR), Fourier transform infrared (FT-IR) spectroscopy can be used to classify different moss species.
Latest:
Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic ResonanceA review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.
Latest:
Efficient Discrimination of Some Moss Species by Fourier Transform Infrared Spectroscopy and ChemometricsIn combination with attenuated total reflectance (ATR), Fourier transform infrared (FT-IR) spectroscopy can be used to classify different moss species.
Latest:
EDX and LIBS Studies on Gallstones Using Partial Least Squares Discriminant Analysis (PLS-DA)Understanding gallstone formation requires examining their elemental composition. Here, EDS and LIBS were used with PLS-DA to quantify elements found in human gallstones.
Latest:
Detection of Acute Kidney Injury Induced by Gentamicin in a Rat Model by Aluminum-Foil-Assisted ATR-FT-IR SpectroscopyA 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.
Latest:
Microwave Digestion and Trace Metals Analysis of Mixed Cannabis and Hemp ProductsIn 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.
Latest:
Small-Angle X-ray Scattering from Lamellar StructuresLamellar 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.
Latest:
Multichannel Raman Spectral Reconstruction and Fast Imaging Based on Global Weighted Linear RegressionRaman 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.
Latest:
Heavy Metals in Pet Food: Changes in Heavy Metal Contamination in Pet Food Over the Past DecadeAnalysis 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.
Latest:
Influence of Bulk Density on Near-Infrared Spectrum Detection of Cement Raw Materials and Compensation MethodsThis study provides theoretical and technical support for implementing online detection of cement raw meal components using near-infrared (NIR) spectroscopy.
Latest:
Determining Chromium, Iron, and Nickel in a Nickel-Based Alloy by X-ray Fluorescence SpectroscopyAccurate 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.
Latest:
Multiscale Convolutional Neural Network of Raman Spectra of Human Serum for Hepatitis B Disease DiagnosisA 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.
Latest:
Investigating a Laser-Induced Titanium Plasma Under an Applied Static Electric FieldWe 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.
Latest:
Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) Analysis of Nanomaterials for Use in Nuclear and Material ApplicationsTunable 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.
Latest:
A Comprehensive Study of WSe2 Crystals Using Correlated Raman, Photoluminescence (PL), Second Harmonic Generation (SHG), and Atomic Force Microscopy (AFM) ImagingUsing 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.
Latest:
Analytical Biology: An Emerging Discipline for the FutureThe 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.
Latest:
Evaluation of Shifted-Excitation Raman Difference Spectroscopy and Comparison to Ordinary Portable Raman Spectroscopy in Identification of Seized DrugsShifted-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.
Latest:
Study of Nondestructive Testing of Nanguo Pear Quality Using Vis-NIR SpectroscopyWe propose a theoretical basis using vis-NIR spectroscopy for the development of an online nondestructive testing system for the quality of Nanguo pear fruit.
Latest:
In situ Monitoring of Double Metal Cyanide (DMC) Catalyst Synthesis by Raman SpectroscopyDouble 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.
Latest:
Atomic Spectroscopy: Is the End Near?“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.
Latest:
Heavy Metals in Pet Food: Changes in Heavy Metal Contamination in Pet Food Over the Past DecadeAnalysis 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.
Latest:
Detection of Early Bruises in Honey Peaches Using Shortwave Infrared Hyperspectral ImagingBy 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.
Latest:
Flexible Stacked Partial Least Squares for Mid-Infrared Spectroscopy Glucose DetectionA 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.
Latest:
A Genetic Algorithm–Optimized Extreme Learning Machine Model for Process Ethylene Analysis Robustness EnhancementTunable 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.
Latest:
Real-time Picometer Resolution SpectrometersAlexander Beaton, a Senior Scientist at LightMachinery, joins us to talk about HyperFine virtually imaged phase array based picometer resolution spectrometers. Applications including laser characterization, plasma studies, and Brillouin measurements for biological applications will be discussed.
Latest:
Advancing Trace Elemental and Speciation Analysis with a Focus on MetrologyFor more than 20 years, Heidi Goenaga-Infante, a science fellow and the leader of the inorganic analysis team at LGC, has been working on elemental and speciation analysis. Two recent areas of investigation include the analysis of trace metals in biological samples, and the study of nanomaterials. In these studies, Goenaga-Infante puts particular emphasis on metrology-advancing this work by developing validated reference methodologies. Goenaga-Infante is the 2020 recipient of the Lester W. Strock Award from Society of Applied Spectroscopy (SAS) and the SAS New England Regional Section, in recognition of her contributions to the field of analytical atomic spectrometry, and she recently spoke to us about her work. This interview is part of an ongoing series of interviews with the winners of awards that are presented at the SciX conference.
Latest:
ICP-OES as a Viable Alternative to ICP-MS for Trace Analysis: Meeting the Detection Limits ChallengeA new sample introduction method improves ICP-OES for ultratrace element analysis. An explanation of how this ICP-OES compares to ICP-MS analysis is also provided.
Latest:
Small-Angle X-ray Scattering from Lamellar StructuresLamellar 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.
Latest:
Study on Estimating Total Nitrogen Content in Sugar Beet Leaves Under Drip Irrigation Based on Vis-NIR Hyperspectral Data and Chlorophyll ContentThe relationship between leaf nitrogen content (LNC) and hyperspectral remote sensing imagery (HYP) was determined to construct an estimation model of the LNC of drip-irrigated sugar beets, to enable real-time monitoring of sugar beet growth and nitrogen management in arid areas.
