APA (7th ed.) Citation

Fu, C., Li, H., Li, W., Ding, C., Zhang, Y., Zhai, Z., . . . Wang, J. (2024). Rapid detection of trace sulfur content in ship fuel oil based on tin oxide quantum dot fluorescent sensors assisted by multi-column convolutional neural network. Microchemical Journal, 205, N.PAG. https://doi.org/10.1016/j.microc.2024.111396

Chicago Style (17th ed.) Citation

Fu, Ce, Hongjin Li, Wenping Li, Chenwen Ding, Yanan Zhang, Zhaoxia Zhai, Jianqiao Liu, and Junsheng Wang. "Rapid Detection of Trace Sulfur Content in Ship Fuel Oil Based on Tin Oxide Quantum Dot Fluorescent Sensors Assisted by Multi-column Convolutional Neural Network." Microchemical Journal 205 (2024): N.PAG. https://doi.org/10.1016/j.microc.2024.111396.

MLA (9th ed.) Citation

Fu, Ce, et al. "Rapid Detection of Trace Sulfur Content in Ship Fuel Oil Based on Tin Oxide Quantum Dot Fluorescent Sensors Assisted by Multi-column Convolutional Neural Network." Microchemical Journal, vol. 205, 2024, p. N.PAG, https://doi.org/10.1016/j.microc.2024.111396.