Antibacterial and deodorizing effects of cold atmospheric plasma-applied electronic deodorant.

Axillary odor is a malodor produced by bacterial metabolism near the apocrine glands, which often causes discomfort in an individual's daily life and social interactions. A deodorant is a personal care product designed to alleviate or mask body odor. Currently, most deodorants contain antimicrobial chemicals and fragrances for odor management; however, direct application to the underarm skin can result in irritation or sensitivity. Therefore, there is a growing interest in technologies that enable disinfection and odor control without the antiperspirants or perfumes. The cold atmospheric plasma temporally generates reactive radicals that can eliminate bacteria and surrounding odors. In this study, cultured Staphylococcus hominis and Corynebacterium xerosis, the causative bacteria of axillary bromhidrosis, were killed after 90% plasma exposure for 3 min. Moreover, the electronic nose system indicated a significant reduction of approximately 51% in 3-hydroxy-3-methylhexanoic acid and approximately 34% in 3-methyl-3-sulfanylhexan-1-ol, the primary components of axillary odor, following a 5-min plasma exposure. These results support the dual function of our deodorant in eliminating bacteria and axillary odors without the chemical agents. Therefore, cold atmospheric plasma-applied deodorant devices have great potential for the treatment and management of axillary odors as a non-contact approach without chemical use in daily life.

Effectiveness of Plasma-Treated Hydrogen Peroxide Mist Disinfection in Various Hospital Environments.

Hospital environments are associated with a high risk of infection. As plasma-treated hydrogen peroxide mist disinfection has a higher disinfection efficacy, we tested the efficacy of plasma-treated hydrogen peroxide mist disinfection on several surfaces in various hospital environments. Disinfection was performed in 23 rooms across different hospital environments, including hospital wards, outpatient departments (OPDs), and emergency rooms. A total of 459 surfaces were swabbed before/after disinfection. Surfaces were also divided into plastic, metal, wood, leather, ceramic, silicone, and glass for further analyses. Only gram-positive bacteria were statistically analyzed because the number of gram-negative bacteria and mold was insufficient. Most colony-forming units (CFUs) of gram-positive bacteria were observed in OPDs and on leather materials before disinfection. The proportion of surfaces that showed a percentage decrease in CFU values of more than 90% after disinfection were as follows: OPDs (85%), hospital wards (99%), and emergency rooms (100%); plastic (97%), metal (83%), wood (84%), leather (81%), and others (87%). Plasma-treated hydrogen peroxide mist disinfection resulted in a significant decrease in the CFU values of gram-positive bacteria in various environments. Plasma-treated hydrogen peroxide mist disinfection is an effective and efficient method of disinfecting various hospital environments.

Comparison of the strength of various disposable videolaryngoscope blades.

PURPOSE: Breaking of disposable blades during emergency endotracheal intubation has been reported. Breakage can cause serious injury and foreign body ingestion. We aimed to measure and analyze the strength characteristics of different disposable videolaryngoscope blades with the application of an upward-lifting force. METHODS: We measured the strength of four disposable videolaryngoscope blades (C-Mac® S Video laryngoscope MAC #3, Glidescope GVL® 3 stat, Pentax AWS® PBlade TL type, and King Vision® aBlade #3) using the fracture test. The strength of 12 samples of each type of disposable videolaryngoscope blade was measured using an Instron 5,966 tensile tester by applying an upward-lifting force. RESULTS: After the fracture test using C-Mac, Glidescope GVL, Pentax AWS, and King Vision, the number of deformed blades were 0, 12, 3, and 7, respectively, and the number of broken blades were 12, 0, 9, and 5, respectively. The mean (standard deviation) maximum force strengths of Pentax AWS, C-Mac, King Vision, and Glidescope GVL blades were 408.4 (27.4) N, 325.8 (26.5) N, 291.8 (39.3) N, and 262.7 (3.8) N, respectively (P < 0.001). CONCLUSION: Clinicians should be aware of the varied strength characteristics of the four types of disposable videolaryngoscope blades when they are used in endotracheal intubation.

RéSUMé: OBJECTIF: Des bris des lames jetables pendant l'intubation endotrachéale d'urgence ont été rapportés. Un bris peut causer des blessures graves et l'ingestion de corps étrangers. Nous avons cherché à mesurer et à analyser les caractéristiques de résistance de différentes lames de vidéolaryngoscope jetables en appliquant une force de traction vers le haut. MéTHODE: Nous avons mesuré la résistance de quatre lames de vidéolaryngoscope jetables (C-Mac® S Video laryngoscope MAC #3, Glidescope GVL® 3 stat, Pentax AWS® type PBlade TL, et King Vision® aBlade #3) en utilisant un test de rupture. La résistance de 12 échantillons de chaque type de lame de vidéolaryngoscope jetable a été mesurée à l'aide d'un dynamomètre Instron 5,966 en appliquant une force de traction vers le haut. RéSULTATS: Après le test de rupture sur les lames C-Mac, Glidescope GVL, Pentax AWS et King Vision, le nombre de lames déformées était de 0, 12, 3 et 7, respectivement, et le nombre de lames brisées était de 12, 0, 9 et 5, respectivement. Les forces de résistance maximales moyennes (écart type) des lames Pentax AWS, C-Mac, King Vision et Glidescope GVL étaient de 408,4 (27,4) N, 325,8 (26,5) N, 291,8 (39,3) N et 262,7 (3,8) N, respectivement (P < 0,001). CONCLUSION: Les cliniciens devraient être conscients des variations dans les caractéristiques de résistance de ces quatre types de lames de vidéolaryngoscope jetables lors de leur utilisation pour l'intubation endotrachéale.

Detection of the location of pneumothorax in chest X-rays using small artificial neural networks and a simple training process.

The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connected small artificial neural networks (ANNs) and a simple training process, the Kim-Monte Carlo algorithm, to detect the location of pneumothorax in chest X-rays. A total of 1,000 chest X-ray images with pneumothorax were taken randomly from NIH (the National Institutes of Health) public image database and used as the training and test sets. Each X-ray image with pneumothorax was divided into 49 boxes for pneumothorax localization. For each of the boxes in the chest X-ray images contained in the test set, the area under the receiver operating characteristic (ROC) curve (AUC) was 0.882, and the sensitivity and specificity were 80.6% and 83.0%, respectively. In addition, a common currently used deep-learning method for image recognition, the convolution neural network (CNN), was also applied to the same dataset for comparison purposes. The performance of the fully-connected small ANN was better than that of the CNN. Regarding the diagnostic performances of the CNN with different activation functions, the CNN with a sigmoid activation function for fully-connected hidden nodes was better than the CNN with the rectified linear unit (RELU) activation function. This study showed that our approach can accurately detect the location of pneumothorax in chest X-rays, significantly reduce the time delay incurred when diagnosing urgent diseases such as pneumothorax, and increase the effectiveness of clinical practice and patient care.