Peer-reviewed Articles

A model based on similarity regularized nonnegative matrix factorization (SRNMF) can be used in space exploration and national security applications to exploit the spatial information in an image of a space target.

This study shows that surface-enhanced Raman spectroscopy (SERS) of serum can provide an experimental basis for diagnosing leukemia in patients.

Portable NIR spectroscopy, combined with discrimination analysis (PLS-DA), can be used to rapidly and accurately identify five very similar wood species of the Cinnamomum genus.

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.

A simple colorimetric and fluorescent dual-channel chemosensor was designed and synthesized to identify Hg2+ in an aqueous solution with demonstrated high selectivity and sensitivity.

This study examines the fluorescence enhancement effects of forsythoside E, one of metabolites of Forsythia suspensa, on human serum albumin (HSA) and bovine serum albumin (BSA) under simulated physiological conditions.

Time-resolved fluorescence spectroscopy reveals much about the structure-induced energy transfer mechanisms of phycobilisomes, the light-harvesting antenna in cyanobacteria.

The “fingerprint in the fingerprint” region is key for active pharmaceutical ingredient (API) identity testing. We explain why.

Accurate 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.

This study provides theoretical and technical support for implementing online detection of cement raw meal components using near-infrared (NIR) spectroscopy.

A 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.

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.

A model has been developed to predict the “cold” or “hot” nature of Chinese medicines based on UV spectral data.

In this study, a methodical qualitative and quantitative analysis of H-Classic publications that have made key contributions and identify intensive mainstream research areas in atomic spectroscopy is presented.

A novel hydrazone-based CN- fluorescent probe, HNT, is described here, and a study was done to see if it could show selective recognition of CN- ions.

In this study, the nitrophenol isomers, in solid and liquid phases, were analyzed using Raman spectroscopy, laying the groundwork for determining nitrophenol isomers in environmental monitoring with this technique.

As this study demonstrates, energy-dispersive X-ray fluorescence (EDXRF) and multivariate statistical analysis can be used to distinguish different classes of historical artifacts, such as ancient pottery—revealing insights about theirs origin and uses.

An increasing number of antibiotic residue problems in food have emerged around the world. We examine how SERS is used to identify antibiotic residues in chicken, focusing on doxycycline hydrochloride and tylosin.

Phosphogypsum can be used as an intermediary material to produce cement clinker. To monitor the quality of phosphogypsum cement, a novel molecular layer deposition X-ray fluorescence (XRF) analysis method using a glass frit was developed.

The “selective fluorescence quenching effects” of Fe3+ ions on carbon dots are examined to gain a more comprehensive understanding of the interactions of metal ions with a variety of fluorescent materials.

Traditional qualitative analysis of agricultural materials using near-infrared spectroscopy can be improved using information-based classification methods, such as projection based on principal components and the Fisher criterion (PPF).

Evaluation of the UV-vis spectra of the reaction product of ytterbium (III) with hematoxylin (HE) indicates the formation of a rare earth complex that further reacts with marine mammal DNA, indicating the potential that this complex may have anti-tumor properties.

We show how FT-IR may be used for quality control analysis of natrii sulfas, a transparent crystalline material used in natural medicine that primarily contains sodium sulfate decahydrate, crystallized from sulfate minerals.

Nitrite poses health risks. This study evaluates the results of using tannic acid- protected fluorescence copper nanoclusters (TA-CuNCs) to detect nitrite in food.

Plasma spray–deposited metal films are used in many industrial applications. This study shows how high resolution terahertz time-domain spectroscopy (THz-TDS) can be used to analyze and characterize such films.

The details of applying deep learning algorithms and FT-IR spectra are described for classification research using the spectra of strawberries as an example.

Surface-enhanced Raman spectroscopy (SERS), using gold nanoparticles, is useful for detection of low-levels of many analytes, including the water pollutant malachite green (MG).

SERS can be used for the detection and monitoring of drugs as pure compounds and mixtures. A demonstration of a sample preparation method used to detect components with weak substrate adsorption in the spectrum of a mixed solution is shown.

The application of data mining combined with data fusion of Raman and mid- infrared spectra was studied to improve discrimination ability for modeling the geographical origins of rice.

This work shows that the combination of THz-TDS and DFT can provide an effective method to investigate the connection mode of hydrogen bonds and thus aid in characterizing compounds such as this potential drug candidate.