UV-vis Spectroscopy

Scientists in Poland recently tested how multidimensional discriminant analysis and reflectance spectroscopy can help identify species within fungi strains.

To study the effect of various extractants on the structure of peat humic acid, peat humic acid was extracted using NH3·H2O, Na2CO3, NaHCO3, and Na2SO3 via alkali-extraction and acid-precipitation methods.

LCGC and Spectroscopy Editor Patrick Lavery spoke with Oligo Factory CEO Chris Boggess about the company’s recently attained compliance with Good Manufacturing Practice (GMP) International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) Expert Working Group (Q7) guidance and its distinction from Research Use Only (RUO) and International Organization for Standardization (ISO) 13485 designations.

Using visible and near-infrared (Vis/NIR) hyperspectral imaging (HSI), scientists were able to determine macro- and micronutrient contents rapidly and non-destructively in persimmon leaves.

Triethylaminium picrate (TEAP) crystals were developed using a slow evaporation solution growth method and then characterized for their feasibility in optoelectronic and other uses.

Spectroscopy plays a critical role in both macroscopic and microscopic plastics detection, which is the first step in remediation, and also in the commercial replacement of plastics with biodegradable materials. This piece provides tangible examples of efforts being made today, including details on spectral hardware implementation, but more importantly provides proposals to the reader on how they can make a meaningful difference in their own world.

In a recent study, a group of scientists analyzed the interaction between perfluorobutanesulfonyl fluoride and bovine serum albumin.

A group of Brazilian scientists tested a new means of testing for COVID-19 using a combination of Vis-NIR spectroscopy and machine learning algorithms.

Researchers from Beihang University in Beijing, China, introduce a dynamic multivariate outlier detection algorithm, DM-SRD, in the journal Applied Spectroscopy, significantly improving the accuracy of real-time monitoring for surface water contamination by addressing challenges posed by hydrological fluctuations.

At the 2023 Gulf Coast Conference, Spectroscopy spoke with Kevin Schug of the University of Texas at Arlington, about predicting gas phase vacuum ultraviolet spectra using machine learning. This interview was one of four conducted live at GCC 2023.

Researchers used a multi-faceted approach that combined UV-visible, fluorescence, and circular dichronism spectroscopy to study the interaction between a newly synthesized 2-phenylquinoline-polyamine conjugate (QPC) and bovine serum albumin (BSA).

This year’s recipient of the Coblentz Award, Wei Xiong of the University of California, San Diego, is being honored for his work. Spectroscopy spoke to Xiong about his work and his feelings about receiving this award.

In this interview, James Chapman discusses his current and future research efforts, and how combining spectroscopy with machine learning tools can change how bacterial research is conducted.

Researchers delve into the interaction between calf thymus DNA and an anticancer platinum (Pt) complex, uncovering its binding mechanism through spectroscopy and molecular dynamic simulations, offering valuable knowledge for future therapeutic advancements.

Scientists have developed an innovative method combining response surface methodology (RSM) and artificial intelligence network (AIN) to accurately estimate malondialdehyde (MDA) levels, a crucial biomarker for lipid peroxidation and oxidative stress measurement.

UV-Vis-NIR can be used to understand how ancient buildings were constructed. Here, a UV-Vis-NIR and EDXRF spectrophotometer were used to analyze glazed tiles that comprised a historical site built in Ancient China.

Our annual review of new products for atomic and molecular spectroscopy, including details by category and highlights of overarching trends.

Scientists have conducted a theoretical study on the rubrofusarin molecule, analyzing its structure, vibrational and UV-vis absorbance spectra, and discussing the impact of solvents on its properties, with implications for understanding the characteristics of Fusarium Head Blight (FHB), a fungal disease that affects cereal crops.

In situ UV-vis spectroscopy is an inexpensive and fast method that was proven to distinguish different types of batteries and energy storage mechanisms.

Spectroscopy offers a range of available techniques that can be differentiated by the use or omission of reference spectra.

In this second part of this four-part series on spectroscopy instrument components, we take a closer look at optical components or subassemblies used for vibrational spectroscopy instruments.

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.

Our annual review of new products for atomic and molecular spectroscopy, including details by category and highlights of overarching trends.

High-performance instrumentation requires many critical components. We focus here on energy sources, lasers, and detectors.

In this study, we propose a low-altitude unmanned aerial vehicle (UAV) hyperspectral visible near-infrared (vis-NIR) remote sensing hardware platform, which combines efficiency and accuracy for high-precision remote sensing-based ecological surveys and statistical data collection on grassland desertification.

This issue is a compilation of five peer-reviewed articles on the combined application of UV-vis-NIR spectral data with advanced chemometrics.

Classification and identification of different wood species are demonstrated using a portable near-infrared spectrometer, combined with four spectral pretreatment methods and three pattern recognition methods. Additional chemometric tools were used for comprehensive evaluation of classification model accuracy and complexity.

Given that grape seed oil has shown beneficial effects for consumers, there is a interest in measuring oil quality and potential adulteration. This study demonstrates an effective near-infrared (NIR) spectroscopy method, using a series of machine learning approaches for wavelength variable selection, to rapidly discriminate grape seed oil adulteration.

Spectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.

Depletion of modern mineral resources due to continuous exploitation and utilization makes it economically necessary to quickly identify the locate sources of low-grade ore. Here, we propose a vis-NIR remote sensing method to determine copper content in mining areas as well as to measure the environmental impact of surface mining methods.