Prussian Blue Sensor for Bacteria Detection in Personal Protection Clothing

Abstract

Biological hazards can be defined as substances that endanger the life of any living organism, most notably humans, and are often referred to as biohazards. Along with the use of personal protective equipment (PPE), early detection of contact is essential for the correct management and resolution of a biological threat, as well as lower mortality rates of those exposed. Herein, Prussian blue (PB) was evaluated as a functional compound applied on polyester knits to act as an on-site sensor for bacteria detection. In order to study the best compound concentration for the intended application, polymeric solutions of 0.5, 1 and 2 g/L were developed. The three conditions tested displayed high abrasion resistance (>2000 cycles). The bacterial sensing capacity of the coated knits was assessed in liquid and solid medium, with the functionalised substrates exhibiting the capability of detecting both Gram-positive and Gram-negative bacteria and changing colours from blue to white. Evaluation of water repellence and chemical penetration resistance and repellence was also performed in polyester functionalised with PB 0.5 and 1 g/L. Both knits showed a hydrophobic behaviour and a capacity to resist to penetration of chemicals and level 3 repellence effect for both acid and base chemicals.

Detection of Personal Protective Equipment (PPE) using an Anchor Free-Convolutional Neural Network

“…In response to these challenges, this study proposes a deep learning method based on Convolutional Neural Networks (CNN) to address the complexities of PPE detection [10]- [12]. We provide a justification for adopting this deep learning approach and demonstrate how it can effectively resolve the research challenges and provide high-accuracy real-time PPE detection.…”