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Dual-band lidar systems may be capable of monitoring, understanding, and safeguarding the biological resources in tropical cloud forests.

This study demonstrates the potential of microwave-enhanced LIBS for zirconium ion emission analysis in nuclear debris decommissioning.

This study is an important contribution to the field of machine learning-enabled NIR spectroscopy, offering researchers a systematic method for selecting representative subsamples from existing data with quality measures, diagnostic tools, and visualization techniques.

This study demonstrates the potential benefits of personalized molecular fingerprinting and biochemical fractionation for applications in health diagnostics

A new colorimetric detection method for screening silver ore samples is described here.

This study presents a novel approach to achieving simplified and tunable flexibility in carborane-based emitters for quantitative vapochromic VOC sensing, which could be used to monitor air quality and volatile organic compounds.

In a recent study, attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FT-IR) was proven to be a cost-effective method for analyzing herapins in pharmaceutical applications.

An overview of Raman spectroscopy and its applications in pharmaceutical analysis is presented.

Waste medical masks can be converted into carbon dots into blue emissive carbon dots, which can be used to detect harmful substances in the environment.

The development of a new benzothiazole azo dye sensor (BTS) highlights the importance of interdisciplinary research in materials chemistry and analytical chemistry for designing and synthesizing new materials with potential applications in chemical sensing and environmental monitoring.

The researchers believe that the results of this study can contribute to the development of more effective and safer approaches to reduce the toxicity of heavy metals in food and the environment.

A new bifunctional gold-platinum (Au@Pt) core–shell nanozyme can detect foodborne bacteria with high sensitivity, which suggests the technique could provide an efficient way to detect pathogens and prevent their spread through contaminated food products.

A new silicon nanoparticle (SiNP) platform was developed that could potentially lead to the development of new tools for monitoring physiological activities and metabolic reactions of cells.

With the help of machine learning, a new technique provides a promising approach for enhancing single-molecule sensing with nanoparticle conjugates.

A research team from Botswana International University of Science and Technology investigated 4-octyloxybenzoic acid, 4-decyloxybenzoic acid, and 4-hexylbenzoic acid liquid crystals, which highlighted the robustness of FT-IR and its potential in identifying materials with similar attributes.

Dmitry Kurouski has won the 2023 Emerging Leader in Molecular Spectroscopy Award for his molecular spectroscopy studies revolving around plants.

Using in situ infrared (IR) spectroscopy and ambient pressure X-ray photoelectron spectroscopy (XPS), scientists were able to differentiate “species” of peroxide.

A new algorithm combines iterative reweighted partial least squares (irPLS) with the block order and scale independent component-wise mukltiblock LS modeling to deliver more robust multiblock predictive modeling.

A recent study provided a procedure for evaluating the dead time effect and highlighted the importance of careful consideration of non-linear effects in TXRF spectroscopy.

A new method for detecting adulterated milk could lead to analyzing other food products more effectively.

Understanding the tissue composition and microstructure in rabbit meat can help researchers develop better methods for assessing overall meat quality.

Evaluating different spectral collection strategies for identifying Dalbergia species using handheld LIBS is a significant advancement in the field of wood identification.

A smartphone-based, portable visible-near-infrared diffuse reflectance spectroscopy (DRS) method can perform pre-symptomatic detection of late blight disease in potato leaves.

A recent study describes the development of a neural network data analysis method to rapidly characterize gallium concentration in plutonium matrices using laser-induced breakdown spectroscopy (LIBS).

A Raman calibration model was created to study cell cultures.

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

Multifunctional tip-enhanced spectroscopy was shown to be able to control semiconductor particles to improve their luminous efficiency.

According to new research, two new Raman spectroscopy approaches, reducing a spectrum complexity (RSC) and multivariate curve resolution combined with the additions method (MCRAD), can detect bloodstains on a multitude of well-known substrates, with RSC proving to be the more effective technique.

According to the study, partially oxidized Ag nanowires can provide high ethanol selectivity for carbon dioxide electroreduction.

According to the study, surface-enhanced Raman spectroscopy (SERS) was used to develop a new semiconductor-based technique for identifying trace chemicals.