APA (7th ed.) Citation

Alladio, E., Giacomelli, L., Biosa, G., Corcia, D., Gerace, E., Salomone, A., & Vincenti, M. (2018). Development and validation of a Partial Least Squares-Discriminant Analysis (PLS-DA) model based on the determination of ethyl glucuronide (EtG) and fatty acid ethyl esters (FAEEs) in hair for the diagnosis of chronic alcohol abuse. Forensic science international, 282, 221-230. https://doi.org/10.1016/j.forsciint.2017.11.010

Chicago Style (17th ed.) Citation

Alladio, E., L. Giacomelli, G. Biosa, D.Di Corcia, E. Gerace, A. Salomone, and M. Vincenti. "Development and Validation of a Partial Least Squares-Discriminant Analysis (PLS-DA) Model Based on the Determination of Ethyl Glucuronide (EtG) and Fatty Acid Ethyl Esters (FAEEs) in Hair for the Diagnosis of Chronic Alcohol Abuse." Forensic Science International 282 (2018): 221-230. https://doi.org/10.1016/j.forsciint.2017.11.010.

MLA (9th ed.) Citation

Alladio, E., et al. "Development and Validation of a Partial Least Squares-Discriminant Analysis (PLS-DA) Model Based on the Determination of Ethyl Glucuronide (EtG) and Fatty Acid Ethyl Esters (FAEEs) in Hair for the Diagnosis of Chronic Alcohol Abuse." Forensic Science International, vol. 282, 2018, pp. 221-230, https://doi.org/10.1016/j.forsciint.2017.11.010.