Cite
Predictive model of geographical origin discrimination of paper mulberry and handmade paper using ICP-AES/MS and multivariate statistical analysis.
MLA
Go, In Hee, et al. “Predictive Model of Geographical Origin Discrimination of Paper Mulberry and Handmade Paper Using ICP-AES/MS and Multivariate Statistical Analysis.” Journal of Cultural Heritage, vol. 49, May 2021, pp. 222–28. EBSCOhost, https://doi.org/10.1016/j.culher.2020.12.004.
APA
Go, I. H., Jo, A. H., Jeong, S. L., Heo, T. Y., Cho, K., & Choi, T. H. (2021). Predictive model of geographical origin discrimination of paper mulberry and handmade paper using ICP-AES/MS and multivariate statistical analysis. Journal of Cultural Heritage, 49, 222–228. https://doi.org/10.1016/j.culher.2020.12.004
Chicago
Go, In Hee, Ah Hyeon Jo, Sir Lin Jeong, Tae Young Heo, Kun Cho, and Tea Ho Choi. 2021. “Predictive Model of Geographical Origin Discrimination of Paper Mulberry and Handmade Paper Using ICP-AES/MS and Multivariate Statistical Analysis.” Journal of Cultural Heritage 49 (May): 222–28. doi:10.1016/j.culher.2020.12.004.