11 resultados para post-steaming treatment

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


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CdTe and Cu(In,Ga)Se2 (CIGS) thin film solar cells are fabricated, electrically characterized and modelled in this thesis. We start from the fabrication of CdTe thin film devices where the R.F. magnetron sputtering system is used to deposit the CdS/CdTe based solar cells. The chlorine post-growth treatment is modified in order to uniformly cover the cell surface and reduce the probability of pinholes and shunting pathways creation which, in turn, reduces the series resistance. The deionized water etching is proposed, for the first time, as the simplest solution to optimize the effect of shunt resistance, stability and metal-semiconductor inter-diffusion at the back contact. In continue, oxygen incorporation is proposed while CdTe layer deposition. This technique has been rarely examined through R.F sputtering deposition of such devices. The above experiments are characterized electrically and optically by current-voltage characterization, scanning electron microscopy, x-ray diffraction and optical spectroscopy. Furthermore, for the first time, the degradation rate of CdTe devices over time is numerically simulated through AMPS and SCAPS simulators. It is proposed that the instability of electrical parameters is coupled with the material properties and external stresses (bias, temperature and illumination). Then, CIGS materials are simulated and characterized by several techniques such as surface photovoltage spectroscopy is used (as a novel idea) to extract the band gap of graded band gap CIGS layers, surface or bulk defect states. The surface roughness is scanned by atomic force microscopy on nanometre scale to obtain the surface topography of the film. The modified equivalent circuits are proposed and the band gap graded profiles are simulated by AMPS simulator and several graded profiles are examined in order to optimize their thickness, grading strength and electrical parameters. Furthermore, the transport mechanisms and Auger generation phenomenon are modelled in CIGS devices.

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Triple negative breast cancer (TNBC) is a very aggressive tumor subtype characterized by the lack of expression of estrogen receptor 1 (ESR1), due in the most of cases to an increased expression of DNA methyltransferases (DNMTs) and hypermethylation in CpG islands, resulting in gene silencing. Furthermore, in ESR1- negative breast cancers, androgen receptor (AR) is highly expressed and some studies suggest that it can drive tumor progression and might represent a therapeutic target. A correlation between microRNAs, small non-coding RNAs that regulate gene expression, and DNMTs was investigated in a TNBC cell line to restore a normal methylation pattern of ESR1, leading to its re-expression and conferring again sensitivity to selective estrogen receptor modulators (SERMs). miR-148A and miR-29B were found to be involved in the reduction of the expression of DNMT1 and DNMT3A and in a slight increase of ESR1 expression, but not at protein level. Then, we found a down-regulation of AR by miRs-7, -9, -27a, -27b, -29a, -29b, -29c, -127-3p, -127-5p and -376 at 48h post transfection and an up-regulation by miR-15a and miR-16 at every time considered. We concomitantly investigated a possible increase of Tamoxifen, Herceptin and Metformin sensitivity after AR silencing in MDA-MB 453 and T-47D cell lines. Cells seemed more sensitive when silenced for AR only in MDA-MB-453 at 24h post Tamoxifen treatment. Studies on Metformin have basically confirmed an increase of drug sensitivity due to AR silencing in both cell lines. Analysis of Herceptin showed how MDA-MB 453 samples silenced for AR have a slight decrease in the percentage of proliferating cells, demonstrating a possible increase in the response to treatment. These preliminary data provide the basis for further study of the modulation of the expression of AR by microRNAs and it will be interesting to understand the molecular mechanisms underlying these interactions.

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Metabolomics has established itself as a discipline that can offer a unique point of view on how a technological treatment could impact on the charactersitics of a food. Even more, the same analytical platforms necessary for the purpose can also effectively unravel intricate interactions between such food and human health upon consumption. This PhD thesis investigates the application of metabolomics in understanding the impact of technological treatments on food and their subsequent effects on human health, utilizing 1H-NMR as the analytical platform. The study involves the development of standard operating procedures (SOPs) to ensure a fast and stable preparation of seafood samples, incorporating novel algorithms to enhance the accuracy of metabolome profiles. To gain insight on how metabolomics can allow exploring the effects of a technological treatment on a food, we performed three sets of experiments to investigate the application of metabolomics in studying the impact of high hydrostatic pressure (HHP) treatment on seafood metabolome during storage. The first experiment employs untargeted metabolomic analysis on chill-stored rose shrimp, revealing significant post-HHP treatment metabolic alterations and mechanisms. The investigation is extended to grey mullet in the second experiment, utilizing both untargeted and targeted metabolomic analyses to account for matrix-related effects. The third experiment assesses the targeted metabolome of striped prawns, showing that HHP significantly influences metabolic pathways, positively impacting freshness and taste through alterations in related metabolites. Shifting focus to the effects of food on humans, the study explores the impact of multistrain probiotics on cirrhosis patients using 1H-NMR. The platform reveals notable alterations in glutamine/glutamate metabolism, enhancing the patients' ammonia detoxification capacity. This research underscores the potential of metabolomics in uncovering intricate interactions between technological treatments, food, and human health, providing valuable insights for both the food industry and healthcare interventions.

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Introduction – Although imatinib (IM) is a recognized gold standard in chronic myeloid leukemia (CML) therapy, resistance has emerged in a significant proportion of patients. Aim – The aim of this study was: (1) to investigate the role of genetic variants in genes encoding for IM transporters, as candidate of IM responsiveness and (2) to test the influence of miRNAs on IM response, focusing on efflux transporters. Methods – As a first step, a panel of polymorphisms (SNPs) was genotyped in a subgroup population of 189 patients enrolled in the Tyrosine Kinase Inhibitor Optimization and Selectivity (TOPS) trial. The association with cytogenetic response and molecular response (MR) was assessed for each SNP. As a second step, an in vitro IM-resistant model (K-562 CML cell line) was established. miRNAs profiles were analyzed using Taqman arrays and in silico search was performed for miRNAs deregulated after IM treatment. mRNA and protein expression were quantified using TaqMan realtime PCR and Western blotting, respectively. Results – (1) Among Caucasian patients, ABCB1 rs60023214 significantly correlated with complete MR (P = 0.005). Concerning SNPs combination in IM uptake transporters, the associations with treatment outcomes were statistically significant for both major and complete MR (P = 0.005 and P = 0.01, respectively). (2) ABCB1 protein was not expressed under any conditions of treatment, differently from ABCG2. Two deregulated miRNAs, namely miR-212 and miR-328, were identified to be inversely correlated with ABCG2 (r2= 0.57; p=0.03 and r2=0.47; p=0.06, respectively). Experiments of loss and gain of function confirmed the functional influence of these miRNAs on ABCG2. Conclusion – The multiple candidate gene approach identified single and combination of SNPs that can be proposed as predictor of IM response. The in vitro study suggested that IM resistance could be mediated by miRNA-dependent mechanism. Further studies are needed to validate these preliminary findings.

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Il dolore non è solo una conseguenza della malattia ma un fattore patogeno che è di per se stesso in grado di perpetuare il danno all’organismo. Il suo trattamento non è quindi solo un atto di umanità ma un contributo ad arrestare la malattia e restituire la salute al paziente. Tra i farmaci più popolari per la terapia del dolore negli animali da affezione si trova la buprenorfina. Questa molecola viene impiegata con successo da anni nel cane e nel gatto per motivi riconducibili, oltre che alla sua efficacia (la sua potenza è diverse volte quella della morfina), alla lunga durata d’azione e alla scarsità degli effetti collaterali. Nonostante l’ampia diffusione e longevità del suo utilizzo, però, sappiamo poco della farmacocinetica di questa molecola negli animali da affezione; i dosaggi clinicamente impiegati sono di fatto estrapolati dagli studi nell’uomo oppure basati su semplici osservazioni degli effetti; i pochi dati farmacocinetici ottenuti nel cane fanno riferimento a singoli boli di dosi che non sempre corrispondono a quelle clinicamente impiegate. Nonostante la buprenorfina trovi il suo principale impiego nelle somministrazioni protratte a lungo (durante il periodo post-operatorio o la degenza ospedaliera) non è mai stato indagato il profilo farmacocinetico della molecola somministrata a boli ripetuti o come infusione continua. Il nostro studio si pone come obiettivo di indagare la farmacocinetica della buprenorfina somministrata come bolo di carico seguito da un’infusione costante a dosaggi considerati clinici in cani sani nel periodo post operatorio. Lo scopo ultimo è quello di sviluppare un protocollo per la somministrazione di questa molecola in modo prolungato in pazienti degenti ed addolorati per poi, in futuro, confrontare la somministrazione come infusione continua con i tradizionali boli ripetuti. Per lo studio sono state utilizzate giovani cagne adulte di taglia media o grande sottoposte ad intervento di ovariectomia.

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Obbiettivo: Valutazione delle eventuali differenze nel trattamento ortodontico di un gruppo di bambini con particolari necessità sanitarie (SHCN) rispetto ad un gruppo di bambini non diagnosticati con SHCN. Materiali e Metodi: Il gruppo campione (SHCN) è costituito da 50 bambini con SHCN. Il gruppo di controllo (NO SHCN) è costituito da 50 bambini non diagnosticati con SHCN pienamente corrispondenti per età, genere e tipo di apparecchio ortodontico utilizzato con i pazienti del gruppo di studio. I dati riguardanti i gruppi SHCN e NO SHCN sono stati analizzati in modo retrospettivo, valutando: - il punteggio pre- e post-trattamento e la riduzione finale dei valori dell'indice PAR (Peer Assessment Rating), della componente DHC (Dental Health Component) e della componente AC (Aesthetic Component) dell'indice IOTN (Orthodontic Treatment Need Index), - il numero di appuntamenti, - il numero di sedute semplici e complesse, - la durata complessiva del trattamento, - l'età all’inizio ed alla fine della terapia. Risultati: Non sono state rilevate differenze statisticamente significative tra i due gruppi per quanto concerne il numero di appuntamenti, la durata complessiva del trattamento, l'età all’inizio ed alla fine della terapia ortodontica (valori del p-value:0.682, 0.458, 0.535, 0.675). Sono state rilevate differenze statisticamente significative tra i due gruppi per quanto riguarda i punteggi dell’indice PAR, delle componenti DHC e AC dello IOTN pre- e post-trattamento, il numero di sedute semplici e complesse (valori del p-value:0.030, 0.000, 0.020, 0.023, 0.000, 0.000, 0.043, 0.037). Per quanto concerne la riduzione finale del valore dell’indice PAR, della componente DHC e di quella AC dello IOTN non sono state riscontrate differenze statisticamente significative tra i due gruppi (valori del p-value:0.060, 0.765, 0.825). Conclusioni: Lo studio incoraggia gli ortodontisti a trattare i bambini con SHCN nell'obiettivo di migliorarne la qualità di vita, pur evidenziando la necessità di un maggior numero di sedute complesse.

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L’approccio chirurgico agli adenomi ipofisari ACTH secernenti è la terapia d’elezione nell’uomo. L’ipofisectomia transfenoidale è invece una tecnica poco diffusa in ambito veterinario. La terapia più diffusa nel cane con ipercortisolismo ipofisi dipendente (PDH) è di tipo medico e prevede la somministrazione di farmaci inibitori della sintesi del cortisolo. Gli adenomi ipofisari possono aumentare di volume e determinare una conseguente sintomatologia neurologica; in questi casi le uniche opzioni terapeutiche sono rappresentate dall’asportazione chirurgica della neoplasia e dalla radioterapia. Nella presente tesi vengono descritti 8 interventi di ipofisectomia transfenoidale effettuati su 7 cani con macroadenoma ipofisario presso il Dipartimento di Scienze Mediche Veterinarie dell’Università di Bologna. La difficoltà maggiore per il chirurgo è rappresentata dalla localizzazione della fossa ipofisaria rispetto ai punti di repere visibile in tomografia computerizzata o in risonanza magnetica nucleare, oltre ai problemi di sanguinamento durante la rimozione della neoplasia. Nel periodo post-operatorio maggiori complicazioni si riscontrano in soggetti con adenomi ipofisari di maggiori dimensioni. Al contrario, in presenza di adenomi di dimensioni più contenute, la ripresa post-operatoria risulta più rapida e il tasso di successo maggiore. Al fine di poter eseguire nel cane l’exeresi mirata della sola neoplasia ipofisaria, al pari di quanto avviene nell’uomo, è stato condotto uno studio sulla tomografia computerizzata (TC) in 86 cani con PDH. Il protocollo TC non ha tuttavia permesso di individuare con precisione la posizione della neoplasia per guidare il chirurgo nella sua rimozione. In due casi riportati nel presente lavoro si è verificata una recidiva della neoplasia ipofisaria. In un soggetto si è optato per il reintervento, mentre nell’altro caso per la radioterapia. Entrambe le opzioni hanno garantito una buona qualità di vita per più di un anno dall’intervento terapeutico. Questi casi clinici dimostrano come il reintervento e la radioterapia possano essere considerate valide opzioni in caso di recidiva.

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The primary aim was to evaluate the effect of 1-ethyl-3-(3-dimethylamino-propyl) carbodiimide (EDC) on endogenous enzymatic activity within radicular dentin and push-out bond strength of adhesively luted fiber posts, at baseline and after artificial aging. Additionally, the effect of different cementation strategies on endogenous enzymatic activity and fiber post retention was evaluated. The experiment was carried out on extracted human teeth, following endodontic treatment and fiber post cementation. Three cementation strategies were performed: resin cement in combination with etch-and-rinse (EAR) adhesive system, with self-etch (SE) system and self-adhesive (SE) cement. Each of the mentioned strategies had a control and experimental (EDC) group in which root canal was irrigated with 0.3M EDC for 1 minute. The push-out bond strength test was performed 24h after cementation and after 40.000 thermocycles. In order to investigate the effect of EDC and different cementation strategies, in situ zymography analyses of the resin-dentin interfaces were conducted. Statistical analyses were conducted with the software Stata 12.0 (Stata Corp, College Station, Texas, USA) and the significance was set for p<0.05. The results of statistical analysis (ANOVA) showed that the variables “EDC”, “root region” and “artificial aging” significantly influenced fiber posts’ retention to root canal (p<0.05). The highest values were observed in coronal third. The mean values observed after artificial aging were lower when compared to baseline, however EDC was effective in preserving bond strength. The level of enzymatic activity varied between the groups and EDC had a beneficial effect on silencing the enzymatic activity. Within the limitations of the study, it was concluded that the choice of cementation strategy did not influence posts’ retention, while EDC contributed to the preservation of bond strength after artificial aging and reduced enzymatic activity within radicular dentin. In vivo trials are necessary to confirm the results of this in vitro study.

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Background: The frozen elephant trunk(FET) technique is one of the last evolution in the treatment of complex pathologies of the aortic arch and the descending thoracic aorta.Materials and methods: Between January 2007 and March 2021, a total of 396 patients underwent total aortic arch replacements with the FET technique in our centre.The main indications were thoracic aortic aneurysm(n=104,28.2%), chronic aortic dissection(n=224,53.4%) and acute aortic dissection(n=68, 18.4%). We divided the population in two groups according the position of the distal anastomosis (zone 2 vs zone 3) and the length of the stent graft (< 150 mm vs > 150 mm): conservative group (Zone 2 anastomosis + stent length < 150mm, n. 140 pts) and aggressive group (zone 3 anastomosis + stent length > 150mm, n. 141). Results: The overall 30-day mortality rate was 13%(48/369); the risk factor analysis showed that an aggressive approach was neither a risk factor for major complication (permanent dialysis, tracheostomy, bowel malperfusion and permanent paraplegia) neither for 30-day mortality. The survival rate at 1, 5,10 and 15 years was 87.7%,75%,61.3% and 58.4% respectively. During the follow up, an aortic reintervention was performed in 122 patients (38%), 5 patients received a non-aortic cardiac surgery. Freedom from aortic reintervention at 1-,5- and 10-year was 77%,54% and 44% respectively. The freedom from aortic reintervention was higher in the ‘aggressive’ group (62.5%vs40.0% at 5 years, log-rank=0.056). An aggressive approach was not protective for aortic reintervention at follow up and for death at follow up. Conclusions: The FET technique represents a feasible and efficient option in the treatment of complex thoracic aortic pathologies. An aortic reintervention after FET is very common and the decision-making approach should consider and balance the higher risk of an aggressive approach in terms of post-operative complication versus the higher risk of a second aortic reintervention at follow-up.

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Laser Powder Bed Fusion (LPBF) permits the manufacturing of parts with optimized geometry, enabling lightweight design of mechanical components in aerospace and automotive and the production of tools with conformal cooling channels. In order to produce parts with high strength-to-weight ratio, high-strength steels are required. To date, the most diffused high-strength steels for LPBF are hot-work tool steels, maraging and precipitation-hardening stainless steels, featuring different composition, feasibility and properties. Moreover, LPBF parts usually require a proper heat treatment and surface finishing, to develop the desired properties and reduce the high roughness resulting from LPBF. The present PhD thesis investigates the effect of different heat treatments and surface finishing on the microstructure and mechanical properties of a hot-work tool steel and a precipitation-hardening stainless steel manufactured via LPBF. The bibliographic section focuses on the main aspects of LPBF, hot-work tool steels and precipitation-hardening stainless steels. The experimental section is divided in two parts. Part A addresses the effect of different heat treatments and surface finishing on the microstructure, hardness, tensile and fatigue behaviour of a LPBF manufactured hot-work tool steel, to evaluate its feasibility for automotive and racing components. Results indicated the possibility to achieve high hardness and strength, comparable to the conventionally produced steel, but a great sensitivity of fatigue strength on defects and surface roughness resulting from LPBF. Part B investigates the effect of different heat treatments on the microstructure, hardness, tensile and notch-impact behaviour of a LPBF produced precipitation-hardening stainless steel, to assess its feasibility for tooling applications. Results indicated the possibility to achieve high hardness and strength also through a simple Direct Aging, enabling heat treatment simplification by exploiting the microstructural features resulting from LPBF.

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The COVID-19 pandemic, sparked by the SARS-CoV-2 virus, stirred global comparisons to historical pandemics. Initially presenting a high mortality rate, it later stabilized globally at around 0.5-3%. Patients manifest a spectrum of symptoms, necessitating efficient triaging for appropriate treatment strategies, ranging from symptomatic relief to antivirals or monoclonal antibodies. Beyond traditional approaches, emerging research suggests a potential link between COVID-19 severity and alterations in gut microbiota composition, impacting inflammatory responses. However, most studies focus on severe hospitalized cases without standardized criteria for severity. Addressing this gap, the first study in this thesis spans diverse COVID-19 severity levels, utilizing 16S rRNA amplicon sequencing on fecal samples from 315 subjects. The findings highlight significant microbiota differences correlated with severity. Machine learning classifiers, including a multi-layer convoluted neural network, demonstrated the potential of microbiota compositional data to predict patient severity, achieving an 84.2% mean balanced accuracy starting one week post-symptom onset. These preliminary results underscore the gut microbiota's potential as a biomarker in clinical decision-making for COVID-19. The second study delves into mild COVID-19 cases, exploring their implications for ‘long COVID’ or Post-Acute COVID-19 Syndrome (PACS). Employing longitudinal analysis, the study unveils dynamic shifts in microbial composition during the acute phase, akin to severe cases. Innovative techniques, including network approaches and spline-based longitudinal analysis, were deployed to assess microbiota dynamics and potential associations with PACS. The research suggests that even in mild cases, similar mechanisms to hospitalized patients are established regarding changes in intestinal microbiota during the acute phase of the infection. These findings lay the foundation for potential microbiota-targeted therapies to mitigate inflammation, potentially preventing long COVID symptoms in the broader population. In essence, these studies offer valuable insights into the intricate relationships between COVID-19 severity, gut microbiota, and the potential for innovative clinical applications.