Wearable sampling of proteins from human exhaled aerosols for nano‐liquid chromatography–tandem mass spectrometry analysis: A pilot study

Rationale Human exhaled breath usually contains unique proteins that may provide clues to characterize individual physiological activities and many diseases. However, the concentration of exhaled proteins in exhaled breath is extremely low and usually does not reach the detection limits of all onlin...

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Veröffentlicht in:Rapid communications in mass spectrometry 2024-05, Vol.38 (10), p.e9737-n/a
Hauptverfasser: Cai, Shen‐hui, Wang, Baixue, Zhang, Jianfeng, Guo, Jiubiao, Hu, Bin
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Sprache:eng
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Zusammenfassung:Rationale Human exhaled breath usually contains unique proteins that may provide clues to characterize individual physiological activities and many diseases. However, the concentration of exhaled proteins in exhaled breath is extremely low and usually does not reach the detection limits of all online breath mass spectrometry instruments. Therefore, developing a new breath sampler for collecting and characterizing exhaled proteins is important. Methods In this study, a new mask‐based wearable sampler was developed by fixing metal materials into the inner surface of the KN95 mask. Human exhaled proteins could be directly adsorbed onto the metal material while wearing the mask. After sampling, the collected proteins were eluted, digested, and identified using nano‐liquid chromatography–tandem mass spectrometry (nano‐LC–MS/MS). Results The adsorption of exhaled proteins was evaluated, showing that modified gold foil is an effective material for collecting exhaled proteins. Various endogenous proteins were successfully identified from exhaled breath, many of which can be potential biomarkers for disease diagnosis. Conclusions By coupling the newly developed mask sampler with nano‐LC–MS/MS, human exhaled proteins were successfully collected and identified. Our results show that the mask sampler is wearable, simple, and convenient, and the method is noninvasive for investigating disease diagnosis and human health.
ISSN:0951-4198
1097-0231
DOI:10.1002/rcm.9737