Cite
Non-targeted characteristic filter analysis combined with in silico prediction strategies to identify the chemical components and in vivo metabolites of Dalitong Granules by UPLC-Q-TOF/MS/MS.
MLA
Su, Yan, et al. “Non-Targeted Characteristic Filter Analysis Combined with in Silico Prediction Strategies to Identify the Chemical Components and in Vivo Metabolites of Dalitong Granules by UPLC-Q-TOF/MS/MS.” Journal of Pharmaceutical & Biomedical Analysis, vol. 222, Jan. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.jpba.2022.115086.
APA
Su, Y., Tao, L., Zhang, X., Sheng, X., Li, Q., Fei, W., Yin, T., Kang, A., Aa, J., & Wang, G. (2023). Non-targeted characteristic filter analysis combined with in silico prediction strategies to identify the chemical components and in vivo metabolites of Dalitong Granules by UPLC-Q-TOF/MS/MS. Journal of Pharmaceutical & Biomedical Analysis, 222, N.PAG. https://doi.org/10.1016/j.jpba.2022.115086
Chicago
Su, Yan, Lin Tao, Xiaoli Zhang, Xianjie Sheng, Qin Li, Wenying Fei, Tao Yin, An Kang, Jiye Aa, and Guangji Wang. 2023. “Non-Targeted Characteristic Filter Analysis Combined with in Silico Prediction Strategies to Identify the Chemical Components and in Vivo Metabolites of Dalitong Granules by UPLC-Q-TOF/MS/MS.” Journal of Pharmaceutical & Biomedical Analysis 222 (January): N.PAG. doi:10.1016/j.jpba.2022.115086.