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A new solid-state potentiometric sensor for anionic surfactants (AnS) determination was prepared. The sensor material in the liquid membrane was made of multi-walled carbon nanotubes (MWCNTs) chemically functionalized with a quaternary ammonium group and tetraphenylborate (TPB) anion (MWCNT-N+(CH3)3TPB-). [https://www.selleckchem.com/products/Sodium-butyrate.html selleck chemicals llc] The response of the MWCNT-N+(CH3)3TPB- sensor was Nernstian (59.3 mV/decade of activity) for both AnS investigated (sodium dodecyl sulfate (NaDDS) and sodium dodecylbenzenesulfonate (NaDBS)). The limits of detection were 2.0 ∙ 10-7 and 1.5 ∙ 10-7 for NaDDS and NaDBS, respectively, and the average response time was only 5 s. The new MWCNT-N+(CH3)3TPB- sensor was very selective for NaDDS compared to anions usually contained in commercial products and is not affected by nonionic surfactants that can also be present in these products. It was tested to determine AnS concertation by the potentiometric titration method in a pH range between 3 and 12 and successfully applied for its determination in three-component mixtures and real systems.Rapid detection of food-borne pathogens in early food contamination is a permanent topic to ensure food safety and prevent public health problems. Raman spectroscopy, a label-free, highly sensitive and dependable technology has attracted more and more attention in the field of diagnosing food-borne pathogens in recent years. In the research, 15,890 single-cell Raman spectra of 23 common strains from 7 genera were obtained at the single cell level. Then, the nonlinear features of raw data were extracted by kernel principal component analysis, and the individual bacterial cell was evaluated and discriminated at the serotype level through the decision tree algorithm. The results demonstrated that the average correct rate of prediction on independent test set was 86.23 ± 0.92% when all strains were recognized by only one model, but there were high misjudgment rates for certain strains. Therefore, the four-level classification models were introduced, and the different hierarchies of the identification models achieved accuracies in the range of 87.1%-95.8%, which realized the efficient prediction of strains at the serotype level. In summary, Raman spectroscopy combined with machine learning based on fingerprint difference was a prospective strategy for the rapid diagnosis of pathogenic bacteria.Ammonium dinitramide (ADN) is a strong, environmentally friendly oxidizer used in composite solid rocket propellants. As there is no reliable colorimetric sensor for ADN assay applicable to in-field screening, we developed a sensitive and practical sensing method to determine it in the presence of other explosives and possible interferents, based on the detection of nitrite formed from ADN degradation under UV light in a slightly alkaline (i.e. of lower alkalinity than needed to hydrolyze nitramines) solution by a nanoparticle-based colorimetric sensor. The ADN-derived nitrite formed a colored product via a Griess reaction using gold nanoparticles modified with 4-aminothiophenol (4-ATP-AuNPs) along with a coupling reagent N-(1-naphthyl)ethylene diamine (NED) for forming an azo dye. The method used for ADN detection could also be applied to tetryl samples at a different wavelength. The limit of detection (LOD) was 0.012 mg L-1 for ADN and 0.615 mg L-1 for tetryl. Interference effects of energetic materials like trinitrotoluene (TNT), hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX) and pentaerythritol tetranitrate (PETN) to ADN determination could be overcome. In addition, common soil ions did not adversely affect the nanosensor performance. The developed method was statistically validated against reference voltammetric, UV, and HPLC methods using t- and F- tests.Exosomes (30-200 nm) play important roles in intercellular communication. Because their contents differ between healthy individuals and subjects diagnosed with various diseases, exosomes have been regarded as potential sources of biomarkers for clinical diagnosis. However, the accuracy of diagnosis by exosomal biomarkers is highly dependent on the extraction efficiency, yield, and the quality of exosomes. Hence, inexpensive, convenient, and fast exosome separation methods are required. In the present study, the CaTiO3/Al3+/Pr3+/Sm3+ nanocomposite was synthesized and applied in highly selective and efficient separation of exosomes. Notably, the developed material exhibited higher specificity and efficiency than commercially available TiO2. Moreover, CaTiO3/Al3+/Pr3+/Sm3+ could be reused at least three times without any significant decrease in efficiency. The synthesized material was also used for the extraction of exosomes from the serums of patients with Alzheimer's disease (AD) and healthy controls. The exosomes were subjected to two-dimensional gel electrophoresis (2-DE) separation and matrix-assisted laser desorption/ionization-time of flight (MALDI TOF/TOF) mass spectrometry analysis. It was found that five proteins in the exosomes were evidently upregulated, while one protein was downregulated. Among the detected proteins, serum amyloid P-component (SAP) has been reported to be closely related to pathogenesis of AD. The obtained results indicated that the developed method involving separation and analysis of serum exosomes could be used for disease diagnosis or postoperative clinical monitoring.A new and fully automated system with the interconnection of an Optical Immersion Probe (OIP) - pH meter - peristaltic pump was used to study the spectral and protolytic properties of carbocyanine the dyes 1,1',3,3,3',3'-hexamethylindocarbocyanine chloride (HIC); 1,1',3,3,3',3'-hexamethylindodicarbocyanine iodide (HIDC); and 3,3'-diethyloxadicarbocyanine iodide (DODC). This system can measure a large number of experimental points in a short time period. The effect of 32 various organic solvents on the UV-ViS spectra of the dyes was studied. The solvatochromic behaviour of studied dyes was characterized by positive solvatochromism for HIDC and negative solvatochromism for HIC and DODC. Through the application of a large number of experimental points, the protonation and hydrolysis constants of dyes were determined with high precision, where the confidence interval of the рK values is ±(0.001-0.005), compared with a confidence interval of ±(0.04-0.10) for standard procedures. The fully automated system presented is accurate, fast, environmentally friendly and promising for multiple analytical applications.