3 resultados para Colorants

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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La demolizione idrolitica delle pareti cellulari delle piante tramite enzimi lignocellulosici è quindi uno degli approcci più studiati della valorizzazione di scarti agricoli per il recupero di fitochimici di valore come secondary chemical building block per la chimica industriale. White rot fungi come il Pleurotus ostreatus producono una vasta gamma di enzimi extracellulari che degradano substrati lignocellulosici complessi in sostanze solubili per essere utilizzati come nutrienti. In questo lavoro abbiamo studiato la produzione di diversi tipi di enzimi lignocellulosici quali cellulase, xilanase, pectinase, laccase, perossidase e arylesterase (caffeoilesterase e feruloilesterase), indotte dalla crescita di Pleurotus ostreatus in fermentazione allo stato solido (SSF) di sottoprodotti agroalimentari (graspi d’uva, vinaccioli, lolla di riso, paglia di grano e crusca di grano) come substrati. Negli ultimi anni, SSF ha ricevuto sempre più interesse da parte dei ricercatori, dal momento che diversi studi per produzioni di enzimi, aromi, coloranti e altre sostanze di interesse per l' industria alimentare hanno dimostrato che SSF può dare rendimenti più elevati o migliorare le caratteristiche del prodotto rispetto alla fermentazione sommersa. L’utilizzo dei sottoprodotti agroalimentari come substrati nei processi SSF, fornisce una via alternativa e di valore, alternativa a questi residui altrimenti sotto/o non utilizzati. L'efficienza del processo di fermentazione è stato ulteriormente studiato attraverso trattamenti meccanici di estrusione del substrato , in grado di promuovere il recupero dell’enzima e di aumentare l'attività prodotta. Le attività enzimatiche prodotte dalla fermentazione sono strettamente dipendente della rimozione periodica degli enzimi prodotti. Le diverse matrici vegetali utilizzate hanno presentato diversi fenomeni induttivi delle specifiche attività enzimatiche. I processi SSF hanno dimostrato una buona capacità di produrre enzimi extracellulari in grado di essere utilizzati successivamente nei processi idrolitici di bioraffinazione per la valorizzazione dei prodotti agroalimentari.

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In this thesis, new advances in the development of spectroscopic based methods for the characterization of heritage materials have been achieved. As concern FTIR spectroscopy new approaches aimed at exploiting near and far IR region for the characterization of inorganic or organic materials have been tested. Paint cross-section have been analysed by FTIR spectroscopy in the NIR range and an “ad hoc” chemometric approach has been developed for the elaboration of hyperspectral maps. Moreover, a new method for the characterization of calcite based on the use of grinding curves has been set up both in MIR and in FAR region. Indeed, calcite is a material widely applied in cultural heritage, and this spectroscopic approach is an efficient and rapid tool to distinguish between different calcite samples. Different enhanced vibrational techniques for the characterisation of dyed fibres have been tested. First a SEIRA (Surface Enhanced Infra-Red Absorption) protocol has been optimised allowing the analysis of colorant micro-extracts thanks to the enhancement produced by the addition of gold nanoparticles. These preliminary studies permitted to identify a new enhanced FTIR method, named ATR/RAIRS, which allowed to reach lower detection limits. Regarding Raman microscopy, the research followed two lines, which have in common the aim of avoiding the use of colloidal solutions. AgI based supports obtained after deposition on a gold-coated glass slides have been developed and tested spotting colorant solutions. A SERS spectrum can be obtained thanks to the photoreduction, which the laser may induce on the silver salt. Moreover, these supports can be used for the TLC separation of a mixture of colorants and the analyses by means of both Raman/SERS and ATR-RAIRS can be successfully reached. Finally, a photoreduction method for the “on fiber” analysis of colorant without the need of any extraction have been optimised.

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Colourants are substances used to change the colour of something, and are classified in three typology of colorants: a) pigments, b) dyes, and c) lakes and hybrid pigments. Their identification is very important when studying cultural heritage; it gives information about the artistic technique, can help in dating, and offers insights on the condition of the object. Besides, the study of the degradation phenomena constitutes a framework for the preventive conservation strategies, provides evidence of the object's original appearance, and contributes to the authentication of works of art. However, the complexity of these systems makes it impossible to achieve a complete understanding using a single technique, making necessary a multi-analytical approach. This work focuses on the set-up and application of advanced spectroscopic methods for the study of colourants in cultural heritage. The first chapter presents the identification of modern synthetic organic pigments using Metal Underlayer-ATR (MU-ATR), and the characterization of synthetic dyes extracted from wool fibres using a combination of Thin Layer Chromatography (TLC) coupled to MU-ATR using AgI@Au plates. The second chapter presents the study of the effect of metallic Ag in the photo-oxidation process of orpiment, and the influence of the different factors, such as light and relative humidity. We used a combination of vibrational and synchrotron radiation-based X-ray microspectroscopy techniques: µ-ATR-FT-IR, µ-Raman, SR-µ-XRF, µ-XANES at S K-, Ag L3- and As K-edges and SR-µ-XRD. The third chapter presents the study of metal carboxylates in paintings, specifically on the formation of Zn and Pb carboxylates in three different binders: stand linseed oil, whole egg, and beeswax. We used micro-ATR-FT-IR, macro FT-IR in total reflection (rMA-FT-IR), portable Near-Infrared spectroscopy (NIR), macro X-ray Powder Diffraction (MA-XRPD), XRPD, and Gas Chromatography Mass-Spectrometry (GC-MS). For the data processing, we explored the data from rMA-FT-IR and NIR with the Principal Component Analysis (PCA).