APA (7th ed.) Citation

Y, H., H, L., H, L., H, C., W, L., X, L., . . . H, F. (2026). Machine learning-assisted ratiometric fluorescent sensing platform based on antenna effect in Tb-doped metal-organic framework for visual quantification of enoxacin. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 352, 127517. https://doi.org/10.1016/j.saa.2026.127517

Chicago Style (17th ed.) Citation

Y, Han, Lu H, Liu H, Chen H, Lan W, Lv X, Long W, and Fu H. "Machine Learning-assisted Ratiometric Fluorescent Sensing Platform Based on Antenna Effect in Tb-doped Metal-organic Framework for Visual Quantification of Enoxacin." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy 352 (2026): 127517. https://doi.org/10.1016/j.saa.2026.127517.

MLA (9th ed.) Citation

Y, Han, et al. "Machine Learning-assisted Ratiometric Fluorescent Sensing Platform Based on Antenna Effect in Tb-doped Metal-organic Framework for Visual Quantification of Enoxacin." Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy, vol. 352, 2026, p. 127517, https://doi.org/10.1016/j.saa.2026.127517.