The Efficacy of a Novel Surgical Device in Preventing Intraoperative Wound Contamination in an In Vivo Porcine Model.

BACKGROUND: Surgical site infections (SSIs) remain a morbid and costly complication in abdominal surgery. Topical antibiotic delivery via intraoperative irrigation and barrier wound protection are strategies for preventing SSI. We tested the safety and efficacy of a novel wound protector device with an integrated fluid irrigation platform in a porcine model. METHODS: A simulated colorectal resection model was designed and performed on adult female pigs with a standardized concentration of 109 colony-forming units (CFU) of Escherichia coli administered to the wound site in 10 mL of normal saline (n = 7). The device was tested intraoperatively with and without irrigation with gentamicin-containing irrigant solution. Swab and tissue samples were obtained in addition to peripheral blood samples. Quantitative culture analysis was performed in addition to histological and immunohistochemical analysis and gentamicin concentration measurements. RESULTS: There were no adverse events observed in the animals. Tissue protected by the device yielded exponentially lower levels of E. coli growth compared to exposed tissue, with a mean 1 × 102 CFU/swab. Use of the device, both with and without irrigation, was associated with an exponential reduction in quantitative bacterial load compared to the control wounds with no device, with limited growth after wound closure in the pigs receiving irrigation. Histology and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining analysis revealed no significant damage to tissue. Serum gentamicin levels remained below the clinical threshold and decreased over time. CONCLUSIONS: This in vivo study suggests safety and efficacy of a novel device for the prevention of intraoperative wound contamination.

Robofurnace: a semi-automated laboratory chemical vapor deposition system for high-throughput nanomaterial synthesis and process discovery.

Laboratory research and development on new materials, such as nanostructured thin films, often utilizes manual equipment such as tube furnaces due to its relatively low cost and ease of setup. However, these systems can be prone to inconsistent outcomes due to variations in standard operating procedures and limitations in performance such as heating and cooling rates restrict the parameter space that can be explored. Perhaps more importantly, maximization of research throughput and the successful and efficient translation of materials processing knowledge to production-scale systems, relies on the attainment of consistent outcomes. In response to this need, we present a semi-automated lab-scale chemical vapor deposition (CVD) furnace system, called "Robofurnace." Robofurnace is an automated CVD system built around a standard tube furnace, which automates sample insertion and removal and uses motion of the furnace to achieve rapid heating and cooling. The system has a 10-sample magazine and motorized transfer arm, which isolates the samples from the lab atmosphere and enables highly repeatable placement of the sample within the tube. The system is designed to enable continuous operation of the CVD reactor, with asynchronous loading∕unloading of samples. To demonstrate its performance, Robofurnace is used to develop a rapid CVD recipe for carbon nanotube (CNT) forest growth, achieving a 10-fold improvement in CNT forest mass density compared to a benchmark recipe using a manual tube furnace. In the long run, multiple systems like Robofurnace may be linked to share data among laboratories by methods such as Twitter. Our hope is Robofurnace and like automation will enable machine learning to optimize and discover relationships in complex material synthesis processes.