Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books.

Non-destructive, fast, and accurate methods of dating are highly desirable for many heritage objects. Here, we present and critically evaluate the use of near-infrared (NIR) spectroscopic data combined with three supervised machine learning methods to predict the publication year of paper books dated between 1851 and 2000. These methods provide different accuracies; however, we demonstrate that the underlying processes refer to common spectral features.

Machine learning-assisted non-destructive plasticizer identification and quantification in historical PVC objects based on IR spectroscopy.

Non-destructive spectroscopic analysis combined with machine learning rapidly provides information on the identity and content of plasticizers in PVC objects of heritage value. For the first time, a large and diverse collection of more than 100 PVC objects in different degradation stages and of diverse chemical compositions was analysed by chromatographic and spectroscopic techniques to create a dataset used to construct classification and regression models. Accounting for this variety makes the model more robust and reliable for the analysis of objects in museum collections.

Determination of Neonicotinoid Pesticides in Propolis with Liquid Chromatography Coupled to Tandem Mass Spectrometry.

In this study, a method was developed for the determination of five neonicotinoid pesticides (acetamiprid, clothianidin, imidacloprid, thiacloprid, and thiamethoxam) in propolis. Two sample preparation methods were tested: solid-phase extraction and the quick, easy, cheap, effective, rugged, and safe (QuEChERS) method. The identities of analytes were confirmed using liquid chromatography-tandem mass spectrometry (LC-MS/MS) in the selected reaction monitoring mode.

Optimization of High Performance Liquid Chromatography Method for Simultaneous Determination of Some Purine and Pyrimidine Bases.

Nine purine and pyrimidine bases were separated and determined simultaneously using reversed phase (RP) high performance liquid chromatography (HPLC) in some food samples and biological fluids. Chromatographic behavior of these ionizable compounds highly depends on the interactions with the solvent as confirmed experimentally and by calculation of distribution of this species as a function of pH. Chromatograms show the optimal separation of five purine (uric acid, hypoxanthine, xanthine, adenine, and guanosine), and four pyrimidine (cytosine, uracil, cytidine and tymine) bases at pH around four.