Development of quantitative methods for sustainability assessment in process industry

The increasing aversion to technological risks of the society requires the development of inherently safer and environmentally friendlier processes, besides assuring the economic competitiveness of the industrial activities. The different forms of impact (e.g. environmental, economic and societal) are frequently characterized by conflicting reduction strategies and must be holistically taken into account in order to identify the optimal solutions in process design. Though the literature reports an extensive discussion of strategies and specific principles, quantitative assessment tools are required to identify the marginal improvements in alternative design options, to allow the trade-off among contradictory aspects and to prevent the “risk shift”. In the present work a set of integrated quantitative tools for design assessment (i.e. design support system) was developed. The tools were specifically dedicated to the implementation of sustainability and inherent safety in process and plant design activities, with respect to chemical and industrial processes in which substances dangerous for humans and environment are used or stored. The tools were mainly devoted to the application in the stages of “conceptual” and “basic design”, when the project is still open to changes (due to the large number of degrees of freedom) which may comprise of strategies to improve sustainability and inherent safety. The set of developed tools includes different phases of the design activities, all through the lifecycle of a project (inventories, process flow diagrams, preliminary plant lay-out plans). The development of such tools gives a substantial contribution to fill the present gap in the availability of sound supports for implementing safety and sustainability in early phases of process design. The proposed decision support system was based on the development of a set of leading key performance indicators (KPIs), which ensure the assessment of economic, societal and environmental impacts of a process (i.e. sustainability profile). The KPIs were based on impact models (also complex), but are easy and swift in the practical application. Their full evaluation is possible also starting from the limited data available during early process design. Innovative reference criteria were developed to compare and aggregate the KPIs on the basis of the actual sitespecific impact burden and the sustainability policy. Particular attention was devoted to the development of reliable criteria and tools for the assessment of inherent safety in different stages of the project lifecycle. The assessment follows an innovative approach in the analysis of inherent safety, based on both the calculation of the expected consequences of potential accidents and the evaluation of the hazards related to equipment. The methodology overrides several problems present in the previous methods proposed for quantitative inherent safety assessment (use of arbitrary indexes, subjective judgement, build-in assumptions, etc.). A specific procedure was defined for the assessment of the hazards related to the formations of undesired substances in chemical systems undergoing “out of control” conditions. In the assessment of layout plans, “ad hoc” tools were developed to account for the hazard of domino escalations and the safety economics. The effectiveness and value of the tools were demonstrated by the application to a large number of case studies concerning different kinds of design activities (choice of materials, design of the process, of the plant, of the layout) and different types of processes/plants (chemical industry, storage facilities, waste disposal). An experimental survey (analysis of the thermal stability of isomers of nitrobenzaldehyde) provided the input data necessary to demonstrate the method for inherent safety assessment of materials.

Luminescent Systems for Genomics and Proteomics

The present PhD project was focused on the development of new tools and methods for luminescence-based techniques. In particular, the ultimate goal was to present substantial improvements to the currently available technologies for both research and diagnostic in the fields of biology, proteomics and genomics. Different aspects and problems were investigated, requiring different strategies and approaches. The whole work was thus divided into separate chapters, each based on the study of one specific aspect of luminescence: Chemiluminescence, Fluorescence and Electrochemiluminescence. CHAPTER 1, Chemiluminescence The work on luminol-enhancer solution lead to a new luminol solution formulation with 1 order of magnitude lower detection limit for HRP. This technology was patented with Cyanagen brand and is now sold worldwide for Western Blot and ELISA applications. CHAPTER 2, Fluorescescence The work on dyed-doped silica nanoparticles is marking a new milestone in the development of nanotechnologies for biological applications. While the project is still in progress, preliminary studies on model structures are leading to very promising results. The improved brightness of these nano-sized objects, their simple synthesis and handling, their low toxicity will soon turn them, we strongly believe, into a new generation of fluorescent labels for many applications. CHAPTER 3, Electrochemiluminescence The work on electrochemiluminescence produced interesting results that can potentially turn into great improvements from an analytical point of view. Ru(bpy)3 derivatives were employed both for on-chip microarray (Chapter 3.1) and for microscopic imaging applications (Chapter 3.2). The development of these new techniques is still under investigation, but the obtained results confirm the possibility to achieve the final goal. Furthermore the development of new ECL-active species (Chapter 3.3, 3.4, 3.5) and their use in these applications can significantly improve overall performances, thus helping to spread ECL as powerful analytical tool for routinary techniques. To conclude, the results obtained are of strong value to largely increase the sensitivity of luminescence techniques, thus fulfilling the expectation we had at the beginning of this research work.

Influenza delle caratteristiche quali-quantitative della luce da fonti artificiali sulla fisio-morfologia di piante verdi per interior landscaping

La conoscenza delle esigenze luminose (intensità, spettro, durata minima, massima ed ottimale del fotoperiodo di illuminazione) e della tolleranza alle condizioni degli interni delle piante ad uso decorativo, è di fondamentale importanza per una giusta tecnica di progettazione (dimensionamento e dislocazione dei punti luce) dell’indoor plantscaping. Il lungo periodo di condizionamento al quale queste piante vengono sottoposte, caratterizzato principalmente dalla scarsa disponibilità di luce naturale e dagli alti livelli di concentrazione di CO2 determina una forte influenza sui processi morfo-fisiologici. Il presente studio analizza il fattore luminoso ed è articolato su più punti quali; • caratterizzazione della riposta fotosintetica all’intensità luminosa di 21 delle principali specie a fogliame decorativo comunemente utilizzate nella realizzazione degli spazi verdi indoor, per stabilire quali siano i minimi ed ottimali livelli di PAR tali da garantire una fotosintesi netta positiva e nel complesso le condizioni di maggior benessere per le piante; • quantificazione dell’incremento fotosintetico netto dovuto ad una maggior concentrazione di CO2 negli interni rispetto alla concentrazione CO2 atmosferica esterna, all’aumentare dell’ intensità luminosa artificiale sulle precedenti specie; • monitoraggio dell’andamento delle attività fotosintetiche durante il periodo di illuminazione di 8 ore comunemente utilizzato in un interno ad uso lavorativo, a PAR costante e variabile in Ficus elastica e Dieffenbachia picta, al fine di stabilire quali possano essere le durate e le modalità di somministrazione della luce per rendere massima la fotosintesi netta riducendo al minimo i consumi energetici dovuti all’accensione delle lampade; • valutazione della risposta morfo-fisiologica e fotosintetica a modificazioni dello spettro luminoso mediante l’uso di LED monocromatici colorati ad emissione nel bianco, blu e rosso in Ficus benjamina e Iresine herbistii al fine di stabilire se questo tipo di lampade possano essere utilizzate come fonte integrativa e/o sostitutiva nella realizzazione degli spazi verdi interni. Vengono analizzati il punto si compensazione alla luce (g), il punto di saturazione alla luce (s), l’efficienza quantica (AQE), il punto di respirazione al buio (Rd) e la fotosintesi netta massima (A max) per (Aglaonema commutatum, Asplenium nidus, Anthurium andreanum, Begonia rex, Calathea luoise, Calathea veitchiana, Calathea rufibarba, Calathea zebrina, Codiaeum variegatum, Cthenanthe oppenheimiana, Dieffenbakia picta, Ficus benjamina, Ficus elatica, Ficus longifolia, Fittonia verschaffeltii, Iresine herbistii, Philodendron erubescens, Philodendron pertusum, Potos aureus, Spathiphillum wallisi, Syngonium podophillum ) e classificate le specie in funzione di Amax in quattro categorie; A max < 2 µmol CO2 m-2 s-1, A max compresa tra 2 e 4 µmol CO2 m-2 s-1, Amax cpmpresa tra 4 e 6 µmol CO2 m-2 s-1, Amax > 6 µmol CO2 m-2 s-1, al fine di mettere in risalto la potenzialità fotosintetiche di ogni singola specie. I valori di PAR compresi tra (g) ed (s) forniscono le indicazioni sulle quali basarsi per scegliere una giusta lampada o dimensionare un punto luce per ogni singola specie e/o composizione. È stimata l’influenza di due livelli di concentrazione di CO2 ambientale (400 e 800 ppm) all’incrementare dell’intensità luminosa sul processo fotosintetico delle specie precedenti. Per quasi tutte le specie 800 ppm di CO2 non favoriscono nessun incremento all’attività fotosintetica ad eccezione di Ficus benjamina, Ficus elatica e Syngonium podophillum se non accompagnati da una disponibilità luminosa superiore alle 10 µmol m-2 s-1. Viene monitorato l’andamento dell’attività fotosintetica a PAR costante e variabile (intervallando periodi di 8 minuti a PAR 40 e 80) durante 8 ore di illuminazione su Ficus elastica e Dieffenbachia picta al fine di stabilire la miglior modalità di somministrazione della luce. La fotosintesi netta cumulativa per l’intera durata di illuminazione a PAR costante mostra un calo dopo alcune ore dall’attivazione in Dieffenbackia, e un andamento oscillatorio in Ficus. L’illuminazione alternata consente di raggiungere i quantitativi di CO2 organicata a 80 µmol m-2 s-1 di PAR, dopo 5 ore e mezza sia in Ficus che Dieffenbackia sebbene le potenzialità fotosintetiche delle due piante siano molto differenti. È stato valutato l’effetto dell’illuminazione artificiale mediante LED (15W) a luce bianca, blu e rossa monocromatica in rapporto alla luce neon(36W) bianca tradizionale (con differenti abbinamenti tra le lampade) sui principali parametri morfologici e fisiologici, in Ficus benjamin ‘Variegata’ e Iresine herbistii per verificare se tali fonti possono rappresentare una valida alternativa nella sostituzione o integrazione di altre lampade per gli spazi verdi indoor. Tutte le combinazioni LED indagate possono rappresentare un’alternativa di sostituzione alla coltivazione con neon ed un risparmio energetico di oltre il 50%. Una PAR di 20,6 µmol m-2 s-1 della singola lampada LED bianco è sufficiente per mantenere la pianta in condizioni di sopravvivenza con un consumo di 15W a fronte dei 36W necessari per il funzionamento di ogni neon. La combinazione LED bianco + LED blu monocromatico favorisce il contenimento della taglia della pianta, caratteristica gradita nella fase di utilizzo indoor, una maggior produzione di sostanza secca e un’attività fotosintetica più elevata.

Quali-quantitative study of the phenolic and polyphenolic compounds and their antioxidant capacity in vegetal matrix processed with different technologies

Food technologies today mean reducing agricultural food waste, improvement of food security, enhancement of food sensory properties, enlargement of food market and food economies. Food technologists must be high-skilled technicians with good scientific knowledge of food hygiene, food chemistry, industrial technologies and food engineering, sensory evaluation experience and analytical chemistry. Their role is to apply the modern vision of science in the field of human nutrition, rising up knowledge in food science. The present PhD project starts with the aim of studying and improving frozen fruits quality. Freezing process in very powerful in preserve initial raw material characteristics, but pre-treatment before the freezing process are necessary to improve quality, in particular to improve texture and enzymatic activity of frozen foods. Osmotic Dehydration (OD) and Vacuum Impregnation (VI), are useful techniques to modify fruits and vegetables composition and prepare them to freezing process. These techniques permit to introduce cryo-protective agent into the food matrices, without significant changes of the original structure, but cause a slight leaching of important intrinsic compounds. Phenolic and polyphenolic compounds for example in apples and nectarines treated with hypertonic solutions are slightly decreased, but the effect of concentration due to water removal driven out from the osmotic gradient, cause a final content of phenolic compounds similar to that of the raw material. In many experiment, a very important change in fruit composition regard the aroma profile. This occur in strawberries osmo-dehydrated under vacuum condition or under atmospheric pressure condition. The increment of some volatiles, probably due to fermentative metabolism induced by the osmotic stress of hypertonic treatment, induce a sensory profile modification of frozen fruits, that in some way result in a better acceptability of consumer, that prefer treated frozen fruits to untreated frozen fruits. Among different processes used, a very interesting result was obtained with the application of a osmotic pre-treatment driven out at refrigerated temperature for long time. The final quality of frozen strawberries was very high and a peculiar increment of phenolic profile was detected. This interesting phenomenon was probably due to induction of phenolic biological synthesis (for example as reaction to osmotic stress), or to hydrolysis of polymeric phenolic compounds. Aside this investigation in the cryo-stabilization and dehydrofreezing of fruits, deeper investigation in VI techniques were carried out, as studies of changes in vacuum impregnated prickly pear texture, and in use of VI and ultrasound (US) in aroma enrichment of fruit pieces. Moreover, to develop sensory evaluation tools and analytical chemistry determination (of volatiles and phenolic compounds), some researches were bring off and published in these fields. Specifically dealing with off-flavour development during storage of boiled potato, and capillary zonal electrophoresis (CZE) and high performance liquid chromatography (HPLC) determination of phenolic compounds.

Quantitative evaluation of household nutrition patterns: an econometric assessment of the UK 5-a-day impact on fruit and vegetable consumption

The present work provides an ex-post assessment of the UK 5-a-day information campaign where the positive effects of information on consumption levels are disentangled from the potentially conflicting price dynamics. A model-based estimate of the counterfactual (no-intervention) scenario is computed using data from the Expenditure and Food Survey between 2002 and 2006. For this purpose fruit and vegetable demand is modelled employing Quadratic Almost Ideal Demand System (QUAIDS) specification with demographic effects and controlling for potential endogeneity of prices and total food expenditure.

Heterosis in maize (Zea mays, L.): characterization of heterotic quantitative trait loci (QTL) for agronomic traits in near isogenic lines (NILs) and their testcrosses

In a previous study on maize (Zea mays, L.) several quantitative trait loci (QTL) showing high dominance-additive ratio for agronomic traits were identified in a population of recombinant inbred lines derived from B73 × H99. For four of these mapped QTL, namely 3.05, 4.10, 7.03 and 10.03 according to their chromosome and bin position, families of near-isogenic lines (NILs) were developed, i.e., couples of homozygous lines nearly identical except for the QTL region that is homozygote either for the allele provided by B73 or by H99. For two of these QTL (3.05 and 4.10) the NILs families were produced in two different genetic backgrounds. The present research was conducted in order to: (i) characterize these QTL by estimating additive and dominance effects; (ii) investigate if these effects can be affected by genetic background, inbreeding level and environmental growing conditions (low vs. high plant density). The six NILs’ families were tested across three years and in three Experiments at different inbreeding levels as NILs per se and their reciprocal crosses (Experiment 1), NILs crossed to related inbreds B73 and H99 (Experiment 2) and NILs crossed to four unrelated inbreds (Experiment 3). Experiment 2 was conducted at two plant densities (4.5 and 9.0 plants m-2). Results of Experiments 1 and 2 confirmed previous findings as to QTL effects, with dominance-additive ratio superior to 1 for several traits, especially for grain yield per plant and its component traits; as a tendency, dominance effects were more pronounced in Experiment 1. The QTL effects were also confirmed in Experiment 3. The interactions involving QTL effects, families and plant density were generally negligible, suggesting a certain stability of the QTL. Results emphasize the importance of dominance effects for these QTL, suggesting that they might deserve further studies, using NILs’ families and their crosses as base materials.

Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images

Myocardial perfusion quantification by means of Contrast-Enhanced Cardiac Magnetic Resonance images relies on time consuming frame-by-frame manual tracing of regions of interest. In this Thesis, a novel automated technique for myocardial segmentation and non-rigid registration as a basis for perfusion quantification is presented. The proposed technique is based on three steps: reference frame selection, myocardial segmentation and non-rigid registration. In the first step, the reference frame in which both endo- and epicardial segmentation will be performed is chosen. Endocardial segmentation is achieved by means of a statistical region-based level-set technique followed by a curvature-based regularization motion. Epicardial segmentation is achieved by means of an edge-based level-set technique followed again by a regularization motion. To take into account the changes in position, size and shape of myocardium throughout the sequence due to out of plane respiratory motion, a non-rigid registration algorithm is required. The proposed non-rigid registration scheme consists in a novel multiscale extension of the normalized cross-correlation algorithm in combination with level-set methods. The myocardium is then divided into standard segments. Contrast enhancement curves are computed measuring the mean pixel intensity of each segment over time, and perfusion indices are extracted from each curve. The overall approach has been tested on synthetic and real datasets. For validation purposes, the sequences have been manually traced by an experienced interpreter, and contrast enhancement curves as well as perfusion indices have been computed. Comparisons between automatically extracted and manually obtained contours and enhancement curves showed high inter-technique agreement. Comparisons of perfusion indices computed using both approaches against quantitative coronary angiography and visual interpretation demonstrated that the two technique have similar diagnostic accuracy. In conclusion, the proposed technique allows fast, automated and accurate measurement of intra-myocardial contrast dynamics, and may thus address the strong clinical need for quantitative evaluation of myocardial perfusion.

Lesion detection and classification in breast cancer: evaluation of approaches based on morphological features, tracer kinetic modelling and semi-quantitative parameters in MR functional imaging (DCE-MRI)

The diagnosis, grading and classification of tumours has benefited considerably from the development of DCE-MRI which is now essential to the adequate clinical management of many tumour types due to its capability in detecting active angiogenesis. Several strategies have been proposed for DCE-MRI evaluation. Visual inspection of contrast agent concentration curves vs time is a very simple yet operator dependent procedure, therefore more objective approaches have been developed in order to facilitate comparison between studies. In so called model free approaches, descriptive or heuristic information extracted from time series raw data have been used for tissue classification. The main issue concerning these schemes is that they have not a direct interpretation in terms of physiological properties of the tissues. On the other hand, model based investigations typically involve compartmental tracer kinetic modelling and pixel-by-pixel estimation of kinetic parameters via non-linear regression applied on region of interests opportunely selected by the physician. This approach has the advantage to provide parameters directly related to the pathophysiological properties of the tissue such as vessel permeability, local regional blood flow, extraction fraction, concentration gradient between plasma and extravascular-extracellular space. Anyway, nonlinear modelling is computational demanding and the accuracy of the estimates can be affected by the signal-to-noise ratio and by the initial solutions. The principal aim of this thesis is investigate the use of semi-quantitative and quantitative parameters for segmentation and classification of breast lesion. The objectives can be subdivided as follow: describe the principal techniques to evaluate time intensity curve in DCE-MRI with focus on kinetic model proposed in literature; to evaluate the influence in parametrization choice for a classic bi-compartmental kinetic models; to evaluate the performance of a method for simultaneous tracer kinetic modelling and pixel classification; to evaluate performance of machine learning techniques training for segmentation and classification of breast lesion.