Blood, sweat, and tears: developing clinically relevant protein biosensors for integrated body fluid analysis.

Biosensors are being developed to provide rapid, quantitative, diagnostic information to clinicians in order to help guide patient treatment, without the need for centralised laboratory assays. The success of glucose monitoring is a key example of where technology innovation has met a clinical need at multiple levels ­ from the pathology laboratory all the way to the patient's home. However, few other biosensor devices are currently in routine use. Here we review the challenges and opportunities regarding the integration of biosensor techniques into body fluid sampling approaches, with emphasis on the point-of-care setting.

Mucosal deformation from an impinging transonic gas jet and the ballistic impact of microparticles.

By means of a transonic gas jet, gene guns ballistically deliver microparticle formulations of drugs and vaccines to the outer layers of the skin or mucosal tissue to induce unique physiological responses for the treatment of a range of conditions. Reported high-speed imaging experiments show that the mucosa deforms significantly while subjected to an impinging gas jet from a biolistic device. In this paper, the effect of this tissue surface deformation on microparticle impact conditions is simulated with computational fluid dynamics (CFD) calculations. The microparticles are idealized as spheres of diameters 26.1, 39 and 99 microm and a density of 1050 kg m-3. Deforming surface calculations of particle impact conditions are compared directly with an immobile surface case. The relative velocity and obliquity of the deforming surface decrease the normal component of particle impact velocity by up to 30% at the outer edge of the impinging gas jet. This is qualitatively consistent with reported particle penetration profiles in the tissue. It is recommended that these effects be considered in biolistic studies requiring quantified particle impact conditions.

Characteristics of a micro-biolistic system for murine immunological studies.

With an advanced computational fluid dynamics (CFD) technique, we have numerically developed and examined a micro-biolistic system for delivering particles to murine target sites. The micro-particles are accelerated by a high speed flow initiated by a traveling shock wave, so that they can attain a sufficient momentum to penetrate in to the cells of interest within murine skin (or mucosa). In immunization application, powdered vaccines are directly delivered into the antigen presenting cells (APCs) within the epidermis/dermis of the murine skin with a narrow and highly controllable velocity range (e.g., 699+/-5.6 m/s for 1.8 microm modeled gold particles) and a uniform spatial distribution over a diameter of approximately 4 mm target area. Key features of gas dynamics and gas-particle interaction are presented. Importantly, the particle impact velocity conditions are quantified as a function of: stand-off distance (2-15 mm), driver gas species (air/helium mixtures), particle density (1,050 kg/m3 and 19,320 kg/m3) and particle size (1-5 microm for gold particles and 10-50 microm for less dense particles, respectively). The influential parameters--representative of immunotherapeutic (e.g., DNA vaccination) and protein (e.g., lidocaine) biolistic applications--are studied in detail.

Numerical analysis of gas and micro-particle interactions in a hand-held shock-tube device.

A unique hand-held gene gun is employed for ballistically delivering biomolecules to key cells in the skin and mucosa in the treatment of the major diseases. One of these types of devices, called the Contoured Shock Tube (CST), delivers powdered micro-particles to the skin with a narrow and highly controllable velocity distribution and a nominally uniform spatial distribution. In this paper, we apply a numerical approach to gain new insights in to the behavior of the CST prototype device. The drag correlations proposed by Henderson (1976), Igra and Takayama (1993) and Kurian and Das (1997) were applied to predict the micro-particle transport in a numerically simulated gas flow. Simulated pressure histories agree well with the corresponding static and Pitot pressure measurements, validating the CFD approach. The calculated velocity distributions show a good agreement, with the best prediction from Igra & Takayama correlation (maximum discrepancy of 5%). Key features of the gas dynamics and gas-particle interaction are discussed. Statistic analyses show a tight free-jet particle velocity distribution is achieved (570 +/- 14.7 m/s) for polystyrene particles (39 +/- 1 microm), representative of a drug payload.