Microchemical Journal

Simulated dataset for multivariate unsupervised exploratory analysis and supervised classification. 30 samples, equally divided in 3 classes (10 samples per class), and described by 6 descriptor variables.

The total concentrations of 19 elements determined in 66 urine samples from 34 patients with biopsy-confirmed PCa and 32 healthy volunteers

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Switchable hydrophilicity solvents (SHS) began being used in analytical chemistry only in 2015, although they have been known for a long time in chemistry and technology. The advantages of this class of solvents are considered, first of all, their effectiveness in a microextraction context. SHS are well combined with chromatographic (GC-MS, HPLC-UV), spectral (AAS, UV-Vis) and even some electroanalytical (voltammetry) methods, which allows one to determine many organic and inorganic substances in various complex matrices. The chemical-analytical characteristics published over the past 5 years, methods of analysis based on the use of SHS microextraction, as well as their advantages and disadvantages are presented. Given the positive dynamics of publications with the use of SHS, we can expect further development of such methods, primarily in terms of expanding the range of defined substances, using new systems and technical solutions aimed at improving the characteristics of spectral and chromatographic methods of analysis.

Data source for calibration curve, Scanning Electron Microscopy, Optimizations and Surface Response Methodology Design

Supplementary material for the Microchemical Journal, title: A rapid LC-MS/MS method for lutein quantification in spinach (Spinacia oleracea) Masashi Miura, Miho Sakai, Mamiko Nogami, Miwa Sato, Takeshi Yatsushiro Appendix A, which includes Fig. A.1 and A.2 and Tables A.1 to A.5.

elements composition of different kind of Zisha clay materials object from various mineral occurrence using Neutron Activation Analysis (NAA).

XRF spectral analysis: element identification and peak quantification. Matlab code allowing to manually or automatically identify elements and quantify peaks from XRF spectra. Run "master.m" to start the spectral analysis. An option window will appear, allowing to perform a manual or automatic analysis of one or multiple XRF spectra (read in as .txt files). An option is available to automatically generate Excel sheets with the analysis results.

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