24Datasets that include only the PM elemental composition and no other important constituents such as 25 ions and OC, should be treated carefully when used for source apportionment. This work is 26 demonstrating how a source apportionment study utilizing PMF 5.0 enhanced diagnostic tools can 27 achieve an improved solution with documented levels of uncertainty for such a dataset.The uncertainty 28 of the solution is rarely reported in source apportionment studies or it is reported partially. Reporting 29 the uncertainty of the solution is very important especially in the case of small datasets. PM2.5 samples 30 collected in Patras during the year 2011 were used. The concentrations of 22 elements (Z=11-33) were 31 determined using PIXE. Source apportionment analysis revealed that PM2.5 emission sources were 32 biomass burning (11%), sea salt (8%), shipping emissions (10%), vehicle emissions (33%), mineral dust 33 (2%) and secondary sulfates (33%) while unaccounted mass was 3%. Although Patras city center is 34 located in a very close proximity to the city's harbor, the contribution of shipping originating emissions 35 was never before quantified. As rotational stability is hard to be achieved when a small dataset is used 36 the rotational stability of the solution was thoroughly evaluated. A number of constraints were applied 37 to the solution in order to reduce rotational ambiguity. 38 39

The International Atomic Energy Agency (IAEA) jointly with the Elettra Sincrotrone Trieste (EST) operates a multipurpose X-ray spectrometry endstation at the X-ray Fluorescence beamline (10.1L). The facility has been available to external users since the beginning of 2015 through the peer-review process of EST. Using this collaboration framework, the IAEA supports and promotes synchrotron-radiation-based research and training activities for various research groups from the IAEA Member States, especially those who have limited previous experience and resources to access a synchrotron radiation facility. This paper aims to provide a broad overview about various analytical capabilities, intrinsic features and performance figures of the IAEA X-ray spectrometry endstation through the measured results. The IAEA-EST endstation works with monochromatic X-rays in the energy range 3.7-14 keV for the Elettra storage ring operating at 2.0 or 2.4 GeV electron energy. It offers a combination of different advanced analytical probes, e.g. X-ray reflectivity, X-ray absorption fine-structure measurements, grazing-incidence X-ray fluorescence measurements, using different excitation and detection geometries, and thereby supports a comprehensive characterization for different kinds of nanostructured and bulk materials.

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19A new synchrotron beamline end-station for multipurpose X-ray spectrometry applications 20 has been recently commissioned and it is currently accessible by end-users at the XRF

Food fraud is a concern for the producers of high-quality food products as it causes brand damage and loss of profit. Tea (Camellia sinensis L.) is one of the major agricultural products of Sri Lanka and accounts for more than 300 million of kilograms per year, roughly 2% of the national GDP. Trace metals and stable isotope ratios in tea samples originating from various regions in Sri Lanka were determined by using X-ray fluorescence analysis and isotope-ratio mass spectrometry to explore the possibility of classifying the tea according to its origin. In total, 13 elements (Mg, P, S, Cl, K, Ca, Mn, Fe, Cu, Zn, Br, Rb and Sr) were determined in 58 tea samples originating from four production districts in Sri Lanka (Hantana, Thalawakelle, Passara and Ratnapura). Two multivariate analysis techniques, namely principal component analysis and canonical discriminant analysis, were applied to explore the differences in elemental contents among the tea produced in these regions and to find a method for compositional classification. This study, although limited by the number of samples available, clearly shows that the differentiation and classification of tea samples according to the four regions of origin is possible by using the elemental contents and applying canonical discriminant analysis.

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