Bacterial Bioaerosol-Specific Capture and In Situ Detection Using an Immune ZIF-8-Melamine Foam-Functionalized Colorimetric Biosensor
Source abstract
Abstract
Bioaerosol infections containing pathogenic viruses and bacteria have resulted in significant economic losses and posed a serious threat to public health, as evidenced by outbreaks of coronavirus disease and avian influenza. Consequently, the sampling and screening of bioaerosols are crucial for the prevention of bioaerosol-borne diseases. In this study, an ultrasensitive biosensor based on zeolitic imidazolate framework-8-melamine foam (ZIF-8-MF) was innovatively developed for the specific capture and in situ detection of bioaerosols. The bacterial bioaerosols were collected by a wet cyclone into phosphate-buffered saline (PBS) buffer at a high collection rate, achieving a satisfactory collection efficiency of ∼80% within 10 min. The target bacteria collected in the PBS buffer were specifically captured and effectively concentrated using immune ZIF-8-MF. The gold@platinum nanozymes (GPNs) were employed to specifically label the captured target bacteria and efficiently amplify the biological signal. And the resulting colorimetric signal was analyzed via a self-developed smartphone application (App). This biosensor demonstrated the capability to detect bioaerosols containing Salmonella typhimurium in the range of 1.6 × 10 2 –1.6 × 10 5 CFU/m 3 within 1.5 h, with a detection limit as low as 100 CFU/m 3 . Compared with other bioaerosol detection methods, the biosensor offered advantages such as high collection rate, specific capture, efficient concentration, and in situ detection, positioning it as a highly promising and practical tool for the monitoring of bioaerosols containing diverse pathogenic bacteria.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Biosensors and Analytical Detection · Advanced Chemical Sensor Technologies · bioluminescence and chemiluminescence research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs
China Agricultural University
Department of Biosystems Engineering
University of Manitoba
College of Water Resources and Civil Engineering
College of Animal Science and Technology
Hebei Agricultural University
College of Veterinary Medicine
South China Agricultural University
Funding
National Natural Science Foundation of China · 2115 Talent Development Program of China Agricultural University
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