Innovative Multi-Feed-Per-Beam Reflector Antenna for Space-Borne Conical-Scan Radiometers

We present an antenna for use on conical-scan space-borne radiometers in C band and demonstrate that stringent radiometric requirements can be met. The antenna consists of a 5 m offset reflector fed by a focal plane array in a multi-feed-per-beam configuration, so far never used in ocean observation missions. We use distinct element beams and two optimization routines for obtaining element excitation amplitudes and phases, and with either routine, and in both x- and y-polarization, compliant beams, with footprint < 20 km, distance to coast < 20 km and accuracy < 0:25 K, are obtained. These results may pave the way for use of focal plane arrays with digital beamforming in future radiometric ocean observation missions

PTR-TOF-MS and data-mining methods for rapid characterisation of agro-industrial samples: influence of milk storage conditions on the volatile compounds profile of Trentingrana cheese

Proton transfer reaction-mass spectrometry (PTR-MS), a direct injection mass spectrometric technique based on an efficient implementation of chemical ionisation, allows for fast and high-sensitivity monitoring of volatile organic compounds (VOCs). The first implementations of PTR-MS, based on quadrupole mass analyzers (PTR-Quad-MS), provided only the nominal mass of the ions measured and thus little chemical information. To partially overcome these limitations and improve the analytical capability of this technique, the coupling of proton transfer reaction ionisation with a time-of-flight mass analyser has been recently realised and commercialised (PTR-TOF-MS). Here we discuss the very first application of this new instrument to agroindustrial problems and dairy science in particular. As a case study, we show here that the rapid PTR-TOF-MS fingerprinting coupled with data-miningmethods can quickly verify whether the storage condition of themilk affects the final quality of cheese and we provide relevant examples of better compound identification in comparison with the previous PTR-MS implementations. In particular, ‘Trentingrana’ cheese produced by four different procedures for milk storage are compared both in the case of winter and summer production. It is indeed possible to set classification models with low prediction errors and to identify the chemical formula of the ion peaks used for classification, providing evidence of the role that this novel spectrometric technique can play for fundamental and applied agro-industrial themes.Fil: Fabris, Alessandra. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; ItaliaFil: Biasioli, Franco. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; ItaliaFil: Granitto, Pablo Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario; ArgentinaFil: Aprea, Eugenio. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; ItaliaFil: Cappellin, Luca. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia. Universidad de Innsbruck; AustriaFil: Schuhfried, Erna. Universidad de Innsbruck; AustriaFil: Soukoulis, Christos. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; ItaliaFil: Märk, Tilmann D.. Universidad de Innsbruck; AustriaFil: Gasperi, Flavia. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; ItaliaFil: Endrizzi, Isabella. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Itali