-
[show abstract]
[hide abstract]
ABSTRACT: Three-dimensional (3D) chemical images reveal the surface and subsurface distribution of pharmaceutical molecules in a coronary stent coating and are used to visualize the drug distribution as a function of elution time. The coronary stent coating consists of 25% (w/w) sirolimus in a poly(lactic-co-glycolic acid) (PLGA) matrix and is spray-coated onto metal coupons. Information regarding the 3D distribution of sirolimus in PLGA as a function of elution time was obtained by time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging using a Au(+) ion beam for analysis in conjunction with a C(60)(+) ion beam for sputter depth profiling. The examined formulation is shown to have large areas of the surface as well as subsurface channels that are composed primarily of the drug, followed by a drug-depleted region, and finally, a relatively homogeneous dispersion of the drug in the polymer matrix. Elution is shown to occur from the drug-enriched surface region on a relatively short time scale and more gradually from the subsurface regions of homogeneously dispersed drug. Bulk composition was also probed by X-ray photoelectron spectroscopy (XPS) depth profiling and confocal Raman imaging, the results of which substantiate the TOF-SIMS 3D images. Finally, the effectiveness of a C(60)(+) ion beam for use in 3D characterization of organic systems is demonstrated against another polyatomic ion source (e.g., SF(5)(+)).
Analytical Chemistry 11/2009; 81(24):9930-40. · 5.86 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Cluster secondary ion mass spectrometry (cluster SIMS) employing an SF5+ polyatomic primary ion sputter source in conjunction with a Bi3+ analysis source was used to obtain three-dimensional molecular information in polymeric-based drug-eluting stent coatings. The formulations of the coatings varied from 0% to 50% (w/w) sirolimus drug in poly(lactic-co-glycolic acid) and were prepared on both MP35N metal alloy coupons and bare metal stents. All cluster SIMS depth profiles obtained indicated a drug-enriched surface region, followed by a drug-depletion region, and finally a constant bulk composition region, similar to previous data obtained in polymeric blend systems. The drug overlayer thickness was determined to increase with increasing sirolimus content. Sample temperature was determined to play an important role in the resulting depth profiles, where it was shown that the best profiles were obtained at low temperatures (-100 degrees C). At these temperatures, molecular signals typically remained constant through the entire depth of the film (approximately 6.5 microm) in some cases, as opposed to the typical 1 microm-2 microm depth limit, which is achievable at room temperature. The 3-D imaging capabilities of cluster SIMS were successfully demonstrated and indicated a significant amount of subsurface domain formation in the 25% and 50% sirolimus samples, but not in the 5% sample, which was homogeneous. These results clearly illustrate the utility of cluster SIMS for probing the 3-D structure in polymeric-based drug delivery devices.
Analytical Chemistry 03/2008; 80(3):624-32. · 5.86 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: The surface of a biomaterial plays a critical role in the success of an implant. Much effort is currently being focused on controlling the chemistry at biomaterial surfaces to ensure favorable results in vivo. The successful tailoring of the surface chemistry will require a detailed surface characterization to verify that the desired changes have been made. This will include the ability to determine the composition, structure, orientation, and spatial distribution, of the molecules and chemical structures on the surface. TOF-SIMS is a powerful surface characterization technique that is able to address these requirements through both spectral analysis and direct chemical state imaging. The flexibility of the TOF-SIMS technique, and the wealth of data produced have generated much interest in its use for biomaterial characterization. This review discusses the strengths, weaknesses, and challenges of static TOF-SIMS for biomaterial surface characterization. First the basic principles of TOF-SIMS are introduced, giving an overview of the technique. Next, sample type, and other sample considerations are discussed. Then data interpretation is overviewed using examples from both spectral and imaging data. Finally, quantitative SIMS analysis is discussed and an outlook for TOF-SIMS analysis of biomaterials will be given.
Biomaterials 10/2003; 24(21):3635-53. · 7.40 Impact Factor
-
17th Capacitor and Resistor Symposium, CARTS Europe; 01/2003
