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Healthcare textiles serve as key reservoirs for pathogen proliferation, demanding an urgent call for innovative interventions. Here, a new class of Smart Fabrics (SF) is introduced with integrated "Repel, Kill, and Detect" functionalities, achieved through a blend of hierarchically structured microparticles, modified nanoparticles, and an acidity‐responsive sensor. SF exhibit remarkable resilience against aerosol and droplet‐based pathogen transmission, showcasing a reduction exceeding 99.90% compared to uncoated fabrics across various drug‐resistant bacteria, Candida albicans, and Phi6 virus. Experiments involving bodily fluids from healthy and infected individuals reveal a significant reduction of 99.88% and 99.79% in clinical urine and feces samples, respectively, compared to uncoated fabrics. The SF's colorimetric detection capability coupled with machine learning (96.67% accuracy) ensures reliable pathogen identification, facilitating accurate differentiation between healthy and infected urine and fecal contaminated samples. SF holds promise for revolutionizing infection prevention and control in healthcare facilities, providing protection through early contamination detection. [ABSTRACT FROM AUTHOR]

Sirolimus (rapamycin) is a mammalian target of rapamycin (mTOR) inhibitor with immunosuppressive, antiproliferative, antiangiogenic, antifungal, anti-restenosis and anti-inflammatory properties. However, its clinical application is often hampered by poor aqueous solubility, first-pass metabolism, transport by p-glycoprotein efflux pump, limited oral bioavailability and nonspecific distribution in off-target sites. Recently, various formulation strategies have emerged to overcome these limitations. Among these, pharmaceutical nanotechnology with numerous advantages has great potential for sirolimus delivery. Up to now, the only nanoparticle based FDA approved formulation in the market is Rapamune® tablet which is composed of drug nanocrystals. This review focuses on recent studies that have been investigated various nanostructured carriers such as liposomes, micelles, polymeric nanoparticles, nanocrystals, magnetic nanoparticles, albumin nanoparticles, solid dispersion nanoparticles and niosomes for sirolimus delivery (in organ transplantation, cancer, vascular restenosis, etc.). [ABSTRACT FROM AUTHOR]

Three‐dimensional (3D) hierarchical wrinkled materials built with biological entities have so far remained exclusive to nature. Herein, multiscale functional ultraporous 3D bio‐networks of bioprinted phage‐built wrinkled microarrays are created through establishing a universal heat‐ and solvent‐independent substrate‐shrinkage method induced by high‐pressure carbon dioxide (HPCD). This method results in diverse wrinkled patterns on soft materials and is particularly powerful for solvent‐ and heat‐sensitive biomaterials, for which other methods have failed. The phage nanofilaments (7 nm width) self‐assemble into orderly‐aligned submicron bundles (100 nm width), which crimp into tunable microscale wrinkles (0.7–5.0 µm width) on size‐controllable micro‐arrays (200–600 µm width) exhibiting a four‐level hierarchical nano‐reticular structure. The HPCD method also protects the bioactivity of biorecognition molecules loaded into the microarrays, leading to the design of bacteria‐sensing chips, made with in‐house deoxyribozyme‐loaded 3D phage microarrays. The developed bacteria‐sensing chips achieve a limit of detection that is 100 × more sensitive with greater reproducibility compared to two‐dimensional (2D) microdot arrays and correctly identify Legionella pneumophila in contaminated water samples collected from industrial cooling towers, highlighting phage‐built wrinkled networks as a platform for bottom‐up assembly of biological building blocks into biofunctional material. [ABSTRACT FROM AUTHOR]

Developing cost-effective, consumer-accessible platforms for point-of-use environmental and clinical pathogen testing is a priority, to reduce reliance on laborious, time-consuming culturing approaches. Unfortunately, a system offering ultrasensitive detection capabilities in a form that requires little auxiliary equipment or training has remained elusive. Here, a colorimetric DNAzyme-crosslinked hydrogel sensor is presented. In the presence of a target pathogen, DNAzyme cleavage results in hydrogel dissolution, yielding the release of entrapped gold nanoparticles in a manner visible to the naked eye. Recognizing that Escherichia coli holds high relevance within both environmental and clinical environments, an E. coli-responsive DNAzyme is incorporated into this platform. Through the optimization of the hydrogel polymerization process and the discovery of bacteriophage-induced DNAzyme signal amplification, 10 1 CFU mL -1 E. coli is detected within real-world lake water samples. Subsequent pairing with an artificial intelligence model removed ambiguity in sensor readout, offering 96% true positive and 100% true negative accuracy. Finally, high sensor specificity and stability results supported clinical use, where 100% of urine samples collected from patients with E. coli urinary tract infections are accurately identified. No false positives are observed when testing healthy samples. Ultimately, this platform stands to significantly improve population health by substantially increasing pathogen testing accessibility., (© 2024 The Author(s). Advanced Materials published by Wiley‐VCH GmbH.)

Here, we present a protocol for determining the bacterial filtration efficiencies of facemask materials according to the American Society for Testing and Materials (ASTM) standard F2101-19. We describe steps for reproducibly generating, collecting, and enumerating viable bacteria-laden aerosols containing the bacterial pathogen Staphylococcus aureus. The optimized operating parameters generate 1,700 to 3,000 viable bacteria-laden aerosol droplets between 2.7 and 3.3 μm. For complete details on the use and execution of this protocol, please refer to Thirugnanasampanthar et al. 1 ., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)