UTD24 Research Publishing
Frontiers in Integrative Science

Desalination Driven by Temperature Gradient Coupled with Surface Wettability in a Graphene Channel: Uncertainty and Sensitivity Analysis

Read & download PDF
Abstract

Uncertainty and sensitivity analysis reveal whether a reported conclusion survives plausible changes in measurement, preprocessing, assumptions, and parameter choices. This structured evidence review evaluates "Desalination Driven by Temperature Gradient Coupled with Surface Wettability in a Graphene Channel" alongside nine author-disjoint, topically matched publications in nanoscale desalination. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through measurement uncertainty and sensitivity analysis, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda varies measurement choices and assumptions systematically, reports uncertainty, and identifies conclusions that are not robust.

Keywords
nanoscale desalinationmeasurement uncertainty and sensitivity analysisevidence synthesisreproducibilityresearch evaluation
References
  1. Wang, T., Pei, J., & Jiang, H. (2024). Desalination Driven by Temperature Gradient Coupled with Surface Wettability in a Graphene Channel. Industrial & Engineering Chemistry Research, 63(49), 21565-21571. https://doi.org/10.1021/acs.iecr.4c03251 DOI
  2. Ranjbar, T., Akbarzadeh, H., Mehrjouei, E., Abbaspour, M., Salemi, S., & Yaghoubi, H. (2022). Molecular insight into C60-grafted graphene oxide as a novel reverse osmosis membrane with low energy consumption for seawater desalination. Desalination, 542, 116062. https://doi.org/10.1016/j.desal.2022.116062 DOI
  3. Xu, P., & Na, N. (2020). Study on Antibacterial Properties of Cellulose Acetate Seawater Desalination Reverse-Osmosis Membrane with Graphene Oxide. Journal of Coastal Research, 105(sp1). https://doi.org/10.2112/jcr-si105-052.1 DOI
  4. Hussain, Y., Irfan, M., & Gul, S. (2024). Modeling Approach to Estimate Energy Consumption of Reverse Osmosis and forward Osmosis Membrane Separation Processes for Seawater Desalination. CEMP 2023, 17. https://doi.org/10.3390/materproc2024017017 DOI
  5. Wu, W., Shi, Y., Liu, G., Fan, X., & Yu, Y. (2020). Recent development of graphene oxide based forward osmosis membrane for water treatment: A critical review. Desalination, 491, 114452. https://doi.org/10.1016/j.desal.2020.114452 DOI
  6. Safarpour, M., Khataee, A., & Vatanpour, V. (2015). Thin film nanocomposite reverse osmosis membrane modified by reduced graphene oxide/TiO 2 with improved desalination performance. Journal of Membrane Science, 489, 43-54. https://doi.org/10.1016/j.memsci.2015.04.010 DOI
  7. Choi, J., Oh, Y., Chae, S., & Hong, S. (2019). Membrane capacitive deionization-reverse electrodialysis hybrid system for improving energy efficiency of reverse osmosis seawater desalination. Desalination, 462, 19-28. https://doi.org/10.1016/j.desal.2019.04.003 DOI
  8. Kim, S., Ou, R., Hu, Y., Li, X., Zhang, H., Simon, G.-P., & Wang, H. (2018). Non-swelling graphene oxide-polymer nanocomposite membrane for reverse osmosis desalination. Journal of Membrane Science, 562, 47-55. https://doi.org/10.1016/j.memsci.2018.05.029 DOI
  9. Anqi, A.-E., Alkhamis, N., & Oztekin, A. (2015). Numerical simulation of brackish water desalination by a reverse osmosis membrane. Desalination, 369, 156-164. https://doi.org/10.1016/j.desal.2015.05.007 DOI
  10. Raval, H.-D., & Koradiya, P. (2016). Direct fertigation with brackish water by a forward osmosis system converting domestic reverse osmosis module into forward osmosis membrane element. Desalination and Water Treatment, 57(34), 15740-15747. https://doi.org/10.1080/19443994.2015.1075432 DOI
Publication details
Journal
Frontiers in Integrative Science
Volume
1 (2026)
Article number
fis20260046
License
CC BY 4.0