Factors affecting use of ballistics gelatin in laboratory studies of bacterial contamination in projectile wounds

• Main Authors: Jessica J. Evans, Aaron Bost, Karim H. Muci-Küchler, Linda C. DeVeaux
• Format: Article
• Language: English
• Published: BMC 2018-05-01
• Series: Military Medical Research
• Subjects: Ballistics gelatin; Wound; Contamination; Bacterial model
• Online Access: http://link.springer.com/article/10.1186/s40779-018-0164-7

Abstract Background Ballistics gelatin is a common tissue surrogate used in bacterial contamination models for projectile wounds. Although these studies have demonstrated that bacteria are transferred from the surface of the gelatin to the wound track by a projectile, quantifiable results have been inconsistent and not repeatable in successive tests. Methods In this study, five areas of a typical contamination model in which bacterial recovery or survival are affected were identified for optimization. The first was a contaminated “skin” surrogate, where the novel use of vacuum filtration of a bacterial culture and buffer onto filter paper was employed. The other possibly problematic areas of the bacterial distribution model included the determination of bacterial survival when the contamination model is dried, survival in solid and molten gelatin, and the effect of high-intensity lights used for recording high-speed video. Results Vacuum filtration of bacteria and buffer resulted in a consistent bacterial distribution and recovery. The use of phosphate buffer M9 (pH 7) aided in neutralizing the ballistics gelatin and improving bacterial survival in solid gelatin. Additionally, the use of high-intensity lights to record high-speed video and the use of a 42°C water bath to melt the gelatin were found to be bactericidal for gram-positive and gram-negative bacteria. Conclusions Multiple areas of a typical contamination model in which bacterial survival may be impeded were identified, and methods were proposed to improve survival in each area. These methods may be used to optimize the results of bacterial contamination models for medical applications, such as understanding the progression of infection in penetrating wounds and to identify possible sources of contamination for forensic purposes.