Analytical challenges in the fields of Nanobioscience and Nanobiotecnology: integrated methods for separation and characterization

Nano(bio)science and nano(bio)technology play a growing and tremendous interest both on academic and industrial aspects. They are undergoing rapid developments on many fronts such as genomics, proteomics, system biology, and medical applications. However, the lack of characterization tools for nano(bio)systems is currently considered as a major limiting factor to the final establishment of nano(bio)technologies. Flow Field-Flow Fractionation (FlFFF) is a separation technique that is definitely emerging in the bioanalytical field, and the number of applications on nano(bio)analytes such as high molar-mass proteins and protein complexes, sub-cellular units, viruses, and functionalized nanoparticles is constantly increasing. This can be ascribed to the intrinsic advantages of FlFFF for the separation of nano(bio)analytes. FlFFF is ideally suited to separate particles over a broad size range (1 nm-1 μm) according to their hydrodynamic radius (rh). The fractionation is carried out in an empty channel by a flow stream of a mobile phase of any composition. For these reasons, fractionation is developed without surface interaction of the analyte with packing or gel media, and there is no stationary phase able to induce mechanical or shear stress on nanosized analytes, which are for these reasons kept in their native state. Characterization of nano(bio)analytes is made possible after fractionation by interfacing the FlFFF system with detection techniques for morphological, optical or mass characterization. For instance, FlFFF coupling with multi-angle light scattering (MALS) detection allows for absolute molecular weight and size determination, and mass spectrometry has made FlFFF enter the field of proteomics. Potentialities of FlFFF couplings with multi-detection systems are discussed in the first section of this dissertation. The second and the third sections are dedicated to new methods that have been developed for the analysis and characterization of different samples of interest in the fields of diagnostics, pharmaceutics, and nanomedicine. The second section focuses on biological samples such as protein complexes and protein aggregates. In particular it focuses on FlFFF methods developed to give new insights into: a) chemical composition and morphological features of blood serum lipoprotein classes, b) time-dependent aggregation pattern of the amyloid protein Aβ1-42, and c) aggregation state of antibody therapeutics in their formulation buffers. The third section is dedicated to the analysis and characterization of structured nanoparticles designed for nanomedicine applications. The discussed results indicate that FlFFF with on-line MALS and fluorescence detection (FD) may become the unparallel methodology for the analysis and characterization of new, structured, fluorescent nanomaterials.

Composti perfluorurati: Valutazione degli effetti biologici e molecolari in modelli cellulari

L’acido perfluorottanoico (PFOA) e l’acido perfluoronanoico (PFNA) sono composti perfluorurati (PFCs) comunemente utilizzati nell’industria, negli ultimi 60 anni, per diverse applicazioni. A causa della loro resistenza alla degradazione, questi composti sono in grado di accumularsi nell’ambiente e negli organismi viventi, da cui possono essere assunti in particolare attraverso la dieta. Le esistenti evidenze sugli effetti dell’esposizione negli animali, tra cui la potenziale cancerogenicità, hanno accresciuto l’interesse sui possibili rischi per la salute nell’uomo. Recenti studi sull’uomo indicano che i PFC sono presenti nel siero, con livelli molto alti soprattutto nei lavoratori cronicamente esposti, e sono associati positivamente al cancro al seno e alla prostata. Inoltre, sono state riportate proprietà estrogen-like e variazioni nei livelli di metilazione sui promotori di alcuni geni. L’esposizione in utero è stata associata positivamente a ipometilazione globale del DNA nel siero cordonale. L’obiettivo di questo studio è stato quello di indagare gli effetti dell’esposizione a questi perfluorurati su linee cellulari tumorali e primarie umane (MOLM-13, RPMI, HEPG2, MCF7,WBC, HMEC e MCF12A), appartenenti a diversi tessuti target, utilizzando un ampio range di concentrazioni (3.12 nM - 500 μM). In particolare, si è valutato: la vitalità, il ciclo cellulare, l’espressione genica, la metilazione globale del DNA e la metilazione gene specifica. Dai risultati è emerso come entrambi i perfluorurati abbiano effetti biologici: PFOA presenta un effetto prevalente citostatico, PFNA prevalentemente citotossico. L’effetto è, però, prevalente sulle linee cellulari primarie di epitelio mammario (HMEC, MCF12A), anche a concentrazioni riscontrate in lavoratori cronicamente esposti (≥31,25 µM). Dall’analisi su queste cellule primarie, non risultano variazioni significative della metilazione globale del DNA alle concentrazioni di 15,6 e 31,25 µM. Emergono invece variazioni sui geni marcatori del cancro al seno, del ciclo cellulare, dell’apoptosi, del pathway di PPAR-α e degli estrogeni, ad una concentrazione di 31,25 µM di entrambi i PFCs.

Flow Field–Flow Fractionation for size analysis and characterization of nanoparticles for applications in Life Sciences

Nanotechnologies are rapidly expanding because of the opportunities that the new materials offer in many areas such as the manufacturing industry, food production, processing and preservation, and in the pharmaceutical and cosmetic industry. Size distribution of the nanoparticles determines their properties and is a fundamental parameter that needs to be monitored from the small-scale synthesis up to the bulk production and quality control of nanotech products on the market. A consequence of the increasing number of applications of nanomaterial is that the EU regulatory authorities are introducing the obligation for companies that make use of nanomaterials to acquire analytical platforms for the assessment of the size parameters of the nanomaterials. In this work, Asymmetrical Flow Field-Flow Fractionation (AF4) and Hollow Fiber F4 (HF5), hyphenated with Multiangle Light Scattering (MALS) are presented as tools for a deep functional characterization of nanoparticles. In particular, it is demonstrated the applicability of AF4-MALS for the characterization of liposomes in a wide series of mediums. Afterwards the technique is used to explore the functional features of a liposomal drug vector in terms of its biological and physical interaction with blood serum components: a comprehensive approach to understand the behavior of lipid vesicles in terms of drug release and fusion/interaction with other biological species is described, together with weaknesses and strength of the method. Afterwards the size characterization, size stability, and conjugation of azidothymidine drug molecules with a new generation of metastable drug vectors, the Metal Organic Frameworks, is discussed. Lastly, it is shown the applicability of HF5-ICP-MS for the rapid screening of samples of relevant nanorisk: rather than a deep and comprehensive characterization it this time shown a quick and smart methodology that within few steps provides qualitative information on the content of metallic nanoparticles in tattoo ink samples.