L'utilizzo di carbonati come reagenti per la sintesi "green" di derivati fenolici: l'esempio del 2-fenossi-1-etanolo

2-Phenoxyethanol (ethylene glycol monophenyl ether) is used as solvent for cellulose acetate, dyes, inks, and resins; it is a synthetic intermediate in the production of plasticizers, pharmaceuticals, and fragrances. Phenoxyethanol is obtained industrially by reaction of phenol with ethylene oxide, in the presence of an homogeneous alkaline catalyst, typically sodium hydroxide. The yield is not higher than 95-96%, because of the formation of polyethoxylated compounds. However, the product obtained may not be acceptable for use in cosmetic preparations and fragrance formulations, due to presence of a pungent “metallic” odor which masks the pleasant odor of the ether, deriving from residual traces of the metallic catalyst. Here we report a study aimed at using ethylene carbonate in place of ethylene oxide as the reactant for phenoxyethanol synthesis; the use of carbonates as green nucleophilic reactants is an important issue in the context of a modern and sustainable chemical industry. Moreover, in the aim of developing a process which might adhere the principles of Green Chemistry, we avoided the use of solvents, and used heterogeneous basic catalysts. We carried out the reaction by using various molar ratios between phenol and ethylene carbonate, at temperatures ranging between 180 and 240°C, with a Na-mordenite catalyst. Under specific conditions, it was possible to obtain total phenol conversion with >99% yield to phenoxyethanol in few hours reaction time, using a moderate excess of ethylene carbonate. Similar results, but with longer reaction times, were obtained using a stoichiometric feed ratio of reactants. One important issue of the research was finding conditions under which the leaching of Na was avoided, and the catalyst could be separated and reused for several reaction batches.

An inter-comparison between a VIS/IR and a MW satellite-based methods for cloud detection and classification

This thesis is aimed to assess similarities and mismatches between the outputs from two independent methods for the cloud cover quantification and classification based on quite different physical basis. One of them is the SAFNWC software package designed to process radiance data acquired by the SEVIRI sensor in the VIS/IR. The other is the MWCC algorithm, which uses the brightness temperatures acquired by the AMSU-B and MHS sensors in their channels centered in the MW water vapour absorption band. At a first stage their cloud detection capability has been tested, by comparing the Cloud Masks they produced. These showed a good agreement between two methods, although some critical situations stand out. The MWCC, in effect, fails to reveal clouds which according to SAFNWC are fractional, cirrus, very low and high opaque clouds. In the second stage of the inter-comparison the pixels classified as cloudy according to both softwares have been. The overall observed tendency of the MWCC method, is an overestimation of the lower cloud classes. Viceversa, the more the cloud top height grows up, the more the MWCC not reveal a certain cloud portion, rather detected by means of the SAFNWC tool. This is what also emerges from a series of tests carried out by using the cloud top height information in order to evaluate the height ranges in which each MWCC category is defined. Therefore, although the involved methods intend to provide the same kind of information, in reality they return quite different details on the same atmospheric column. The SAFNWC retrieval being very sensitive to the top temperature of a cloud, brings the actual level reached by this. The MWCC, by exploiting the capability of the microwaves, is able to give an information about the levels that are located more deeply within the atmospheric column.