Spectroscopy Staff

A researcher group has utilized laser-induced breakdown spectroscopy (LIBS) to develop a method for food authentication and quality analysis.

A research team has developed a nondestructive method to assess the healing ability of plant tissues by analyzing the fluorescence properties of wounds on soybean seedlings.

Researchers have developed advanced laser-induced breakdown spectroscopy (LIBS) methods for rapid element quantification in alloy particles, aiding in the efficient analysis and identification of their source materials.

In a recent study, researchers analyzed the correlation between laser-induced breakdown spectroscopy (LIBS) and acoustic signals captured by the microphone (MIC) on NASA's Perseverance rover during its mission on Mars.

Researchers have developed microbiological and spectrophotometric methods for the quantitative determination of tioconazole, an antifungal drug, providing valuable tools for the analysis and quality control of tioconazole in pharmaceutical preparations.

A recent study utilized infrared microspectroscopy to investigate the chemical composition of psammoma bodies (PBs) in ovarian and thyroid cancer tissues.

A recent study utilized laser-induced breakdown spectroscopy (LIBS) and inductively coupled plasma optical emission spectroscopy (ICP-OES) to examine the uptake and distribution of heavy metals in industrial hemp and white mustard plants.

Researchers have developed a novel near-infrared fluorescent probe, FNIR-pH, that allows sensitive detection of mitochondrial pH and study of mitophagy, revealing cellular health and disease processes.

A newly published study reveals that double spacer disk antennas enable the simultaneous detection of molecules in a surface-enhanced infrared absorption (SEIRA) sensor platform.

Scientists have introduced a statistical definition of the limit of detection (LOD) for calibration-free laser-induced breakdown spectroscopy (CF-LIBS). The study provides a robust framework for LOD determination, addressing the high LOD associated with LIBS and enabling more accurate trace element analysis.

Researchers have developed a new biosensors decorated with silver nanoparticles that enable the sensitive detection of the Acyclovir drug on filter paper substrates.

Serum Raman spectroscopy combined with a convolutional neural network (CNN) offers a highly accurate and noninvasive method for diagnosing gastric, colon, rectal, and lung cancers paving the way for improved cancer screening and early detection.

Researchers have utilized an integrated wavelength-dispersive and energy-dispersive X-ray fluorescence spectrometer technique to comprehensively analyze bromine, iodine, and other components in soil samples, demonstrating an innovative method for quantitative elemental analysis of complex matrix geological samples.

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 developed an eco-friendly method using chemometric techniques and artificial neural networks for simultaneous determination of aspirin, clopidogrel, and either atorvastatin or rosuvastatin in their fixed-dose combination (FDC) formulations using ultraviolet (UV) spectrophotometry.

A recent study reveals the pressure-induced phase transitions in imidazolium manganese-hypophosphite hybrid perovskite using Raman spectroscopy.

Scientists have developed a fluorescent sensor via a surface ion imprinting rice husk-based polymer capable of selectively detecting and efficiently adsorbing copper ions from lake water.

Researchers have conducted a study on natural stilbene-based sunscreens, uncovering the ultrafast non-adiabatic dynamics and UV protection mechanisms of hydroxy resveratrol and pterostilbene.

A recent study delves into the size-dependent optoelectronics of the N-type ultra-high conductive polymer PBFDO. Researchers explore the absorption spectra, charge transfer modes, and electron transport properties of PBFDO, providing valuable theoretical guidance for its potential applications in nanoscale optoelectronics and device design.

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 novel method, IEC-LIBS, which combines laser-induced breakdown spectroscopy and an ion enrichment chip for sensitive and rapid detection of chromium in different valence states in water and soil. The study demonstrates the effectiveness of this simple and environmentally friendly approach, offering potential for field applications and compliance with environmental quality standards.

Scientists have developed an optimized method for the precise measurement of iodine-129 in decommissioning wastes using tandem ICP-MS/MS. Their study demonstrates the effectiveness of this approach in achieving low-level measurements with improved sensitivity for waste characterization and environmental monitoring.

A team of researchers has developed a novel algorithm for rapid peak fitting and resolution enhancement in Raman hyperspectra analysis. The algorithm offers significant advancements in processing large datasets, improving peak resolution, and extracting valuable information about analytes.

A recent study presents an innovative approach for predicting sugarbeet seed germination using the fusion of hyperspectral imaging and information analysis techniques.

A new study demonstrates the improved accuracy of depth profiling in confocal Raman microscopy for analyzing the structural and chemical composition of polymeric microsphere layers.

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.

A research team has utilized the Allan variance technique to analyze the performance characteristics of compact Fourier transform infrared (FT-IR) spectrometers. The study provides insights into the noise sources and instabilities of these handheld instruments, offering guidance for improving their accuracy and stability in real-time material detection and quantification applications.

Revolutionary research demonstrates the power of machine learning in predicting the ground-state electronic structure of organic molecules from core-loss spectra, offering new insights into nanomaterial design.

A new study leverages Fourier transform infrared spectroscopy (FT-IR) to determine the geographical origin and assess the quality of Rosa roxburghii Tratt (RRT), providing valuable insights for functional food production.