Many foods containing potentially harmful additives are labeled as additive-free. Detecting these additives can be challenging. A rapid method for additive detection is demonstrated using 3D fluorescence spectroscopy combined with an independent component analysis algorithm.
By applying vis-NIR spectroscopy, combined with an integrating sphere technique, a method for nondestructive testing of internal lesions in apples has been developed. This work provides a theoretical basis for the nondestructive testing of apples using tissue optical parameters.
High-precision statistics on desertification of grassland features are an important part of ecosystem research. In this study, a vis-NIR hyperspectral remote sensing system for unmanned aerial vehicles (UAVs) was used to analyze the type and presence of vegetation and soil of typical desertified grassland in Inner Mongolia using a deep belief network and 2D and 3D convolutional neural networks.
This study shows, for the first time, that limits of detection (LOD) can be improved for P, S and Ca nanoparticles by the addition of N2 to the plasma flow for single-particle inductively coupled plasma–mass spectrometry (spICP-MS). The work also examined the relative LOD differences using Ar-N2 and Ar-N2-H2 mixed-gas plasmas.
In this study, WDXRF and FT-IR are used to analyze a tooth sample of a renal patient, and to compare the results to healthy patients. The quantities of multiple elements are reported using the XRF technique, and FT-IR spectroscopy is used to extract relevant information about the molecular contents of the sample with the important absorption bands identified.
Well-diffracting crystals are essential for X-ray diffraction of crystallized protein for structural determination. A quantum cascade laser (QCL) infrared microscope is used to determine protein aggregation, distinct from self-association, for the success of the crystallization effort.
The morphology and gap spacing of nano-island film SERS substrates are key factors defining the properties of analyte‒substrate interactions. These results of the study described here have implications for understanding signal variation in SERS and in designing
future SERS assays.