Materials and Chemical Engineering Giulio Natta

Milano, Italy

Materials and Chemical Engineering Giulio Natta

Milano, Italy
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Sponchioni M.,Materials and Chemical Engineering Giulio Natta | Ferrari R.,Institute for Chemical and Bioengineering | Morosi L.,stituto di Ricerche Farmacologiche Mario Negri | Moscatelli D.,Materials and Chemical Engineering Giulio Natta
Journal of Polymer Science, Part A: Polymer Chemistry | Year: 2016

During the last years, the field of drug delivery has experienced a growing interest toward the so-called thermo-responsive polymers: synthetic materials that, due to the specific hydrophilic–lipophilic balance of their repeating units, exhibit a lower critical solution temperature (LCST) in water associated to a characteristic coil–globule transition. In this work, thermo-responsive amphiphilic block copolymers are synthesized via reversible addition-fragmentation transfer (RAFT) polymerization starting from thermo-responsive monomers and a hydrophobic biodegradable macromonomer, oligo(caprolactone)methacrylate (CL3MA), produced via ring opening polymerization (ROP). The obtained copolymers exhibit an interesting self-assembly behavior leading to nanoparticles (NPs) as long as temperature is kept below the LCST. Otherwise, once this value is overcome, the destabilization of the NPs causes the formation of hydrophobic superstructures that enhance the release of an entrapped lipophilic drug. This characteristic behavior has been systematically studied and related to the copolymer structure. In particular, the self-assembly behavior as well as temperature-triggered NP destabilization have been related to the relative length of the two blocks constituting the copolymers and to their hydrophilic–lipophilic balance (HLB). Finally, the efficacy of the thermo-responsive triggered drug release has been tested in the case of Paclitaxel (PTX). © 2016 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2016, 54, 2919–2931. © 2016 Wiley Periodicals, Inc.


Garcia Gonzalez M.N.,Materials and Chemical Engineering Giulio Natta | Levi M.,Materials and Chemical Engineering Giulio Natta | Turri S.,Materials and Chemical Engineering Giulio Natta | Griffini G.,Materials and Chemical Engineering Giulio Natta
Journal of Applied Polymer Science | Year: 2017

Lignin nanoparticles (nanolignin, NL) were prepared in this work by ultrasonic treatment of softwood kraft lignin to obtain lignin-water dispersions with excellent colloidal stability. A thorough characterization of the chemical, physical, and morphological properties of the new NL particles allowed for direct comparisons with the untreated parent material. Such NL particles were incorporated into a waterborne thermoplastic polyurethane matrix at different concentrations to yield bio-based nanocomposite materials. The effect of the bio-filler type (NL vs. untreated lignin) and loading on the chemical, physical, thermal, and morphological characteristics of the resulting nanocomposites was extensively investigated. In addition, tensile tests carried out on these systems highlighted the superior mechanical properties of NL-based nanocomposites compared to composite materials incorporating untreated lignin. The results of this study provide a direct demonstration of an easy and environmentally friendly approach to obtain waterborne polyurethane-based nanocomposites reinforced with NL in a relatively straightforward and accessible way and clearly evidence the potential of lignin nanoparticles as fully bioderived fillers for advanced nanocomposite applications. © 2017 Wiley Periodicals, Inc.


Esteve C.,University of Alcalá | D'Amato A.,Materials and Chemical Engineering Giulio Natta | Marina M.L.,University of Alcalá | Garcia M.C.,University of Alcalá | Righetti P.G.,Miles Gloriosus Academy
Electrophoresis | Year: 2012

Avocado (Persea americana) proteins have been scarcely studied despite their importance, especially in food related allergies. The proteome of avocado pulp was explored in depth by extracting proteins with capture by combinatorial peptide ligand libraries at pH 7.4 and under conditions mimicking reverse-phase capture at pH 2.2. The total number of unique gene products identified amounts to 1012 proteins, of which 174 are in common with the control, untreated sample, 190 are present only in the control and 648 represent the new species detected via combinatorial peptide ligand libraries of all combined eluates and likely represent low-abundance proteins. Among the 1012 proteins, it was possible to identify the already known avocado allergen Pers a 1 and different proteins susceptible to be allergens such as a profilin, a polygalacturonase, a thaumatin-like protein, a glucanase, and an isoflavone reductase like protein. © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.


Casalegno M.,Materials and Chemical Engineering Giulio Natta | Benfenati E.,Instituto Of Ricerche Farmacologiche Mario Negri | Sello G.,University of Milan
Journal of Chemical Information and Modeling | Year: 2011

The search for structural subunits that affect compound toxicity cannot be manually performed on large databases. In addition, the a priori definition of important groups is impossible. Structural diversity requires the analysis of the complete data space and the selection of the details there present. A single substructure cannot be considered sufficient when assigning compound toxicity. In contrast, if we consider all the substructures in the database as the elements of a complete collection and if we can build a working hierarchy, the identification of the best feasible result using the available data is possible. If the database includes several significant examples, the results will be valuable. The use of a fragment-based description of a mutagenicity database together with the realization of a general hierarchy allows for the identification of the moieties that control the toxifying/detoxifying action of each compound. © 2011 American Chemical Society.


Casalegno M.,Materials and Chemical Engineering giulio Natta | Sello G.,University of Milan
Computational Biology and Chemistry | Year: 2016

Carcinogenicity prediction is an important process that can be performed to cut down experimental costs and save animal lives. The current reliability of the results is however disputed. Here, a blind exercise in carcinogenicity category assessment is performed using augmented top priority fragment classification. The procedure analyses the applicability domain of the dataset, allocates in clusters the compounds using a leading molecular fragment, and a similarity measure. The exercise is applied to three compound datasets derived from the Lois Gold Carcinogenic Database. The results, showing good agreement with experimental data, are compared with published ones. A final discussion on our viewpoint on the possibilities that the carcinogenicity modelling of chemical compounds offers is presented. © 2016 Elsevier Ltd. All rights reserved.


PubMed | Materials and Chemical Engineering Giulio Natta and University of Milan
Type: | Journal: Computational biology and chemistry | Year: 2016

Carcinogenicity prediction is an important process that can be performed to cut down experimental costs and save animal lives. The current reliability of the results is however disputed. Here, a blind exercise in carcinogenicity category assessment is performed using augmented top priority fragment classification. The procedure analyses the applicability domain of the dataset, allocates in clusters the compounds using a leading molecular fragment, and a similarity measure. The exercise is applied to three compound datasets derived from the Lois Gold Carcinogenic Database. The results, showing good agreement with experimental data, are compared with published ones. A final discussion on our viewpoint on the possibilities that the carcinogenicity modelling of chemical compounds offers is presented.


Mazzarolo A.,Friedrich - Alexander - University, Erlangen - Nuremberg | Lee K.,Friedrich - Alexander - University, Erlangen - Nuremberg | Vicenzo A.,Materials and Chemical Engineering Giulio Natta | Schmuki P.,Friedrich - Alexander - University, Erlangen - Nuremberg
Electrochemistry Communications | Year: 2012

The present work investigates the photocatalytic performance of TiO 2 nanotubes with different tube top morphologies. Such morphological variations are obtained when growing self-organized nanotube arrays under different (but widely used) anodization conditions. We compare the most typical appearances of tube tops that are: i) grassy tubes, ii) tubes with initiation layers, iii) doubled anodized and iv) open tubes. The results show that tubes with an open, defined mouth have a significantly enhanced photocatalytic performance in open circuit, dye degradation experiments as well as when used as a photoanodes for photoelectrochemical water splitting. © 2012 Elsevier B.V.


PubMed | Materials and Chemical Engineering Giulio Natta
Type: Journal Article | Journal: Water science and technology : a journal of the International Association on Water Pollution Research | Year: 2012

The aim of this paper is the study and the validation of a method for odor sampling on solid area sources. This aim is achieved by considering a suitable theoretical model that accounts for all the variables involved in the volatilization process of odorous compounds from solids into the atmosphere. The simulation of the emission of odors from a solid surface was achieved by designing a suitable experimental setup and a specific wind tunnel for laboratory tests. The results of the tests show a good correspondence between the theoretical data derived from the adopted model and the experimental data. The verification of the possibility of describing the wind tunnel functioning with a theoretical volatilization model proves the applicability of this device for sampling on solid area sources.


PubMed | Materials and Chemical Engineering Giulio Natta
Type: Journal Article | Journal: Journal of chemical information and modeling | Year: 2011

The search for structural subunits that affect compound toxicity cannot be manually performed on large databases. In addition, the a priori definition of important groups is impossible. Structural diversity requires the analysis of the complete data space and the selection of the details there present. A single substructure cannot be considered sufficient when assigning compound toxicity. In contrast, if we consider all the substructures in the database as the elements of a complete collection and if we can build a working hierarchy, the identification of the best feasible result using the available data is possible. If the database includes several significant examples, the results will be valuable. The use of a fragment-based description of a mutagenicity database together with the realization of a general hierarchy allows for the identification of the moieties that control the toxifying/detoxifying action of each compound.

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