OR WAIT null SECS
© 2022 MJH Life Sciences and Spectroscopy Online. All rights reserved.
© 2022 MJH Life Sciences™ and Spectroscopy Online. All rights reserved.
June 01, 2022
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.
May 01, 2022
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.
April 01, 2022
Time-resolved fluorescence spectroscopy reveals much about the structure-induced energy transfer mechanisms of phycobilisomes, the light-harvesting antenna in cyanobacteria.
March 01, 2022
The “fingerprint in the fingerprint” region is key for active pharmaceutical ingredient (API) identity testing. We explain why.
February 01, 2022
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.
January 01, 2022
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.