Researchers in Brazil leverage artificial intelligence algorithms and Vis-NIR-SWIR hyperspectroscopy to achieve precise pigment phenotyping and classification of eleven lettuce varieties, showcasing the potential of integrating advanced technologies in agriculture.
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 November, Spectroscopy announced the acquisition of Spectroscopy Europe and Spectroscopy World, two leading publications in the spectroscopy space. We remember Ian Michael, the long-time publisher of both magazines, for the contributions he made to the industry.
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.
A recent study shows how near infrared (NIR) spectroscopy and X-ray fluorescence (XRF) spectroscopy was integrated to create a new coal calorific value analyzer.
Felipe Bachion de Santana of Teagasc in Wexford, Ireland, is exploring new ways to monitor soil quality through using spectroscopic techniques. Spectroscopy spoke to him about his team’s work in monitoring the quality of soil to improve agricultural efficiency.
A novel intelligent inversion model integrating multiscale fractal analysis, PCA, and machine learning techniques (RF and SVM) was devised to accurately estimate soil organic matter (SOM) using hyperspectral data.
This review explores the latest advancements in near-infrared (NIR) imaging technology, detailing its diverse applications such as tracking solvent diffusion in polymers, portable analysis systems in pharmaceuticals, high-speed polymer monitoring, and NIR imaging for fish embryo development research.
At the 2023 Gulf Coast Conference, Spectroscopy spoke with Elena Hagemann of Metrohm USA, about spectroscopy in relation to petrochemicals. This interview was one of four conducted live at GCC 2023.
In a recent study, the contents of ciprofloxacin and metronidazole tablets were quantified using a handheld near-infrared (NIR) spectrophotometers.
A team of researchers is using near-infrared spectroscopy (NIR) coupled with partial least squares (PLS) to analyze the e-liquid components of e-cigarettes.
The James Webb Space Telescope's near-infrared spectrograph (NIRISS) has introduced the single object slitless spectroscopy (SOSS) mode, enhancing our ability to study exoplanet atmospheres with high resolving power. This innovation holds great promise for advancing our understanding of distant worlds and their compositions.
A group of scientists from the University of Wrocław and the University of Innsbruck studied the relationships between aliphatic ketones and water molecules in various environments.
The method of analysis described by these researchers had the advantages of being in-line and in real time, compared to more traditional approaches such as high performance liquid chromatography (HPLC).
In this interview, Peter Griffiths, 2023 recipient of the Ellis R. Lippincott Award, reflects over his storied career, as well as his most recent work, which focuses on measuring fine airborne particles within mining environments.
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.
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.
Researchers have developed an intelligent detection method for quaternary blended oil using near-infrared spectroscopy (NIRS) technology.
Scientists have developed a rapid and accurate method for predicting cocoa shell content in cocoa powder using handheld and benchtop vis-NIR spectrometers combined with chemometric techniques.
Researchers have conducted a preliminary study on the potential use of near-infrared (NIR) and Raman spectroscopy for predicting ice cream mix viscosity. The study highlights the promising performance of NIR spectroscopy and serves as a starting point for further investigations into in situ application of these analytical tools in the ice cream manufacturing process.
Researchers have developed a near-infrared fluorescent probe that allows for highly sensitive detection of butyrylcholinesterase activity and pesticide residue in food samples. The probe offers a ratiometric pattern and shows promise for applications in health evaluation, disease diagnosis, and environmental monitoring.
Various chemometric approaches, including four discriminant models (ELM, TLBO–ELM, KELM, and TLBO–KELM), were used to detect shrimp freshness based on near-infrared hyperspectral imaging.
A research team has developed new photoswitchable cationic spiropyrans that exhibit near-infrared (NIR) fluorescence, opening up exciting possibilities for enhanced biomedical imaging applications. This breakthrough study highlights the potential of these compounds as valuable tools for advancing imaging technologies in the field of biomedicine.
