Quantitative micro-Raman analysis of micro-particles in drug delivery.

Polymeric micro and nanoconstructs are emerging as promising delivery systems for therapeutics and contrast agents in microcirculation. Excellent assets associated with polymeric particulates of tunable shape, size, mechanical and chemical properties may improve the efficiency of delivery and represent the basis of personalized medicine and treatment. Nevertheless, lack of effective techniques of analysis may limit their use in biomedicine and bioengineering. In this paper, we demonstrated Raman Spectroscopy for quantitative characterization of poly lactic-co-glycolic acid (PLGA) micro-plate drug delivery systems. To do so, we (i) acquired bi-dimensional Raman maps of PLGA micro-plates loaded with curcumin at various times of release over multiple particles. We (ii) realized an exploratory analysis of data using the principal component analysis (PCA) technique to find hidden patterns in the data and reduce the dimensionality of the system. Then, we (iii) used an innovative univariate method of analysis of the reduced system to derive quantitative drug release profiles. High performance liquid chromatography (HPLC), the consolidated method of analysis of macro-sized systems, was used for comparison. We found that our system is as efficient as HPLC but, differently from HPLC, it enables quantitative analysis of systems at the single particle level.

Improvement of the therapeutic treatment of inflammatory bowel diseases following rectal administration of mesalazine-loaded chitosan microparticles vs Asamax®.

The development of innovative strategies for the efficacious treatment of inflammatory bowel diseases (IBD) still remains a goal for pharmaceutical research. Targeting the lower section of the intestine is the main aim of therapy because it is the compartment primarily affected by IBDs. Mesalazine was microencapsulated in chitosan particles in order to modulate its unfavorable pharmacokinetic profile exploiting the bioadhesive feature of the polysaccharide and increase the anti-inflammatory effect of the drug following its rectal administration in an in vivo model of induced IBD. The chitosan microparticles (1-4 µm mean size) allowed efficient retention of the mesalazine and a prolonged drug release lasting up to 48 h. In vitro and in vivo experiments confirmed the significant mucoadhesion feature of the formulation by means of mucin assay and CLSM experiments and demonstrated its therapeutic efficacy at a drug concentration 2-fold lower than the commercial formulation Asamax® (13 mg/kg vs 26 mg/kg).

Spherical polymeric nanoconstructs for combined chemotherapeutic and anti-inflammatory therapies.

Nanoparticles can simultaneously deliver multiple agents to cancerous lesions enabling de facto combination therapies. Here, spherical polymeric nanoconstructs (SPNs) are loaded with anti-cancer - docetaxel (DTXL) - and anti-inflammatory - diclofenac (DICL) - molecules. In vitro, combination SPNs kill U87-MG cells twice as efficiently as DTXL SPNs, achieving a IC50 of 90.5nM at 72h. Isobologram analysis confirms a significant synergy (CI=0.56) between DTXL and DICL. In mice bearing non-orthotopic glioblastoma multiforme tumors, combination SPNs demonstrate higher inhibition in disease progression. At 70days post treatment, the survival rate of mice treated with combination SPNs is of about 70%, against a 40% for DTXL SPNs and 0% for free DTXL. Combination SPNs dramatically inhibit COX-2 expression, modulating the local inflammatory status, and increase Caspase-3 expression, which is directly related to cell death. These results suggest that the combination of anti-cancer and anti-inflammatory molecules constitutes a potent strategy for inhibiting tumor growth.

Selective on site separation and detection of molecules in diluted solutions with super-hydrophobic clusters of plasmonic nanoparticles.

Super-hydrophobic surfaces are bio-inspired interfaces with a superficial texture that, in its most common evolution, is formed by a periodic lattice of silicon micro-pillars. Similar surfaces reveal superior properties compared to conventional flat surfaces, including very low friction coefficients. In this work, we modified meso-porous silicon micro-pillars to incorporate networks of metal nano-particles into the porous matrix. In doing so, we obtained a multifunctional-hierarchical system in which (i) at a larger micrometric scale, the super-hydrophobic pillars bring the molecules dissolved in an ultralow-concentration droplet to the active sites of the device, (ii) at an intermediate meso-scale, the meso-porous silicon film adsorbs the low molecular weight content of the solution and, (iii) at a smaller nanometric scale, the aggregates of silver nano-particles would measure the target molecules with unprecedented sensitivity. In the results, we demonstrated how this scheme can be utilized to isolate and detect small molecules in a diluted solution in very low abundance ranges. The presented platform, coupled to Raman or other spectroscopy techniques, is a realistic candidate for the protein expression profiling of biological fluids.

Electroless deposition and nanolithography can control the formation of materials at the nano-scale for plasmonic applications.

The new revolution in materials science is being driven by our ability to manipulate matter at the molecular level to create structures with novel functions and properties. The aim of this paper is to explore new strategies to obtain plasmonic metal nanostructures through the combination of a top down method, that is electron beam lithography, and a bottom up technique, that is the chemical electroless deposition. This technique allows a tight control over the shape and size of bi- and three-dimensional metal patterns at the nano scale. The resulting nanostructures can be used as constituents of Surface Enhanced Raman Spectroscopy (SERS) substrates, where the electromagnetic field is strongly amplified. Our results indicate that, in electroless growth, high quality metal nanostructures with sizes below 50 nm may be easily obtained. These findings were explained within the framework of a diffusion limited aggregation (DLA) model, that is a simulation model that makes it possible to decipher, at an atomic level, the rules governing the evolution of the growth front; moreover, we give a description of the physical mechanisms of growth at a basic level. In the discussion, we show how these findings can be utilized to fabricate dimers of silver nanospheres where the size and shape of those spheres is controlled with extreme precision and can be used for very large area SERS substrates and nano-optics, for single molecule detection.

Raman database of amino acids solutions: a critical study of extended multiplicative signal correction.

The Raman spectra of biological materials always exhibit complex profiles, constituting several peaks and/or bands which arise due to the large variety of biomolecules. The extraction of quantitative information from these spectra is not a trivial task. While qualitative information can be retrieved from the changes in peaks frequencies or from the appearance/disappearance of some peaks, quantitative analysis requires an examination of peak intensities. Unfortunately in biological samples it is not easy to identify a reference peak for normalizing intensities, and this makes it very difficult to study the peak intensities. In the last decades a more refined mathematical tool, the extended multiplicative signal correction (EMSC), has been proposed for treating infrared spectra, which is also capable of providing quantitative information. From the mathematical and physical point of view, EMSC can also be applied to Raman spectra, as recently proposed. In this work the reliability of the EMSC procedure is tested by application to a well defined biological system: the 20 standard amino acids and their combination in peptides. The first step is the collection of a Raman database of these 20 amino acids, and subsequently EMSC processing is applied to retrieve quantitative information from amino acids mixtures and peptides. A critical review of the results is presented, showing that EMSC has to be carefully handled for complex biological systems.

A facile in situ microfluidic method for creating multivalent surfaces: toward functional glycomics.

An in situ method of modifying the chemistry and topology of microfluidic surfaces in order to mimic the cellular environment is described. The binding of functionalised microbeads to microfluidic channels allows the surface-to-volume ratio of the system, and thus the number of biomolecules available for reaction, to be vastly increased, thereby enhancing the sensitivity of biochemical analyses. The sensitivity and specificity of the technique were first investigated via the study of carbohydrate-protein interactions. Beads featuring hydrazide moieties were adhered to the channel surface, after which carbohydrates (galactose and mannose) were bound to the beads in situ and reacted with fluorescently labelled proteins. Results showed a six-fold increase in fluorescent signal compared to the same process performed on a glass surface without the presence of beads, thereby demonstrating the increase in valence afforded by the method. In a subsequent study, beads, modified with galactose moieties via the in situ functionalisation technique, were used to perform studies of colon tumour cells from a cell sample. Here, the carcinoma cells exhibited superior adhesion than the normal cells due to an increased expression of active galactose receptors, thereby demonstrating the success of the biofunctionalisation method for investigating cellular mechanisms.

Magnetic imaging in photonic crystal microcavities.

We demonstrate the nonresonant magnetic interaction at optical frequencies between a photonic crystal microcavity and a metallized near-field microscopy probe. This interaction can be used to map and control the magnetic component of the microcavity modes. The metal coated tip acts as a microscopic conductive ring, which induces a magnetic response opposite to the inducing magnetic field. The resulting shift in resonance frequency can be used to measure the distribution of the magnetic field intensity of the photonic structure and fine-tune its optical response via the magnetic field components.