Deep-Learning-Based Blood Glucose Detection Device Using Acetone Exhaled Breath Sensing Features of α‑Fe2O3‑MWCNT Nanocomposites.

MLA

Ansari, Hamid Reza, et al. “Deep-Learning-Based Blood Glucose Detection Device Using Acetone Exhaled Breath Sensing Features of Α‑Fe2O3‑MWCNT Nanocomposites.” ACS Applied Materials & Interfaces, vol. 16, no. 36, Sept. 2024, pp. 47973–87. EBSCOhost, https://doi.org/10.1021/acsami.4c06855.

APA

Ansari, H. R., Kordrostami, Z., Mirzaei, A., & Kraft, M. (2024). Deep-Learning-Based Blood Glucose Detection Device Using Acetone Exhaled Breath Sensing Features of α‑Fe2O3‑MWCNT Nanocomposites. ACS Applied Materials & Interfaces, 16(36), 47973–47987. https://doi.org/10.1021/acsami.4c06855

Chicago

Ansari, Hamid Reza, Zoheir Kordrostami, Ali Mirzaei, and Michael Kraft. 2024. “Deep-Learning-Based Blood Glucose Detection Device Using Acetone Exhaled Breath Sensing Features of Α‑Fe2O3‑MWCNT Nanocomposites.” ACS Applied Materials & Interfaces 16 (36): 47973–87. doi:10.1021/acsami.4c06855.