APA (7th ed.) Citation

X, Z., X, S., W, D., S, S., D, C., W, C., . . . Y, Z. (2026). Urine volatile organic compounds profiling via GC-IMS combined with machine learning: A powerful diagnostic and pathogen differentiation tool for urinary tract infections. Frontiers in cellular and infection microbiology, 16, 1745468. https://doi.org/10.3389/fcimb.2026.1745468

Chicago Style (17th ed.) Citation

X, Zheng, Sun X, Du W, Sun S, Chen D, Cheng W, Zhuang X, and Zhang Y. "Urine Volatile Organic Compounds Profiling via GC-IMS Combined with Machine Learning: A Powerful Diagnostic and Pathogen Differentiation Tool for Urinary Tract Infections." Frontiers in Cellular and Infection Microbiology 16 (2026): 1745468. https://doi.org/10.3389/fcimb.2026.1745468.

MLA (9th ed.) Citation

X, Zheng, et al. "Urine Volatile Organic Compounds Profiling via GC-IMS Combined with Machine Learning: A Powerful Diagnostic and Pathogen Differentiation Tool for Urinary Tract Infections." Frontiers in Cellular and Infection Microbiology, vol. 16, 2026, p. 1745468, https://doi.org/10.3389/fcimb.2026.1745468.