Dr Dalila Iannotta

Postdoctoral Research Fellow

School of Chemical Engineering
Faculty of Engineering, Architecture and Information Technology

Overview

Dr. Dalila Iannotta obtained her PhD in Cellular and Molecular Biotechnology in 2022. Her goal is to contribute to nanomedicine by developing new delivery systems that decrease side effects and increase the therapeutic activity of medicines.

She has over eight years of research experience in various areas, such as extracellular vesicles, synthetic nanoparticles, and disease models (wounds and neurological conditions). Her research has resulted in nine publications, including in journals such as the Journal of Extracellular Vesicles (IF: 21.22) and Nano Today (IF: 18.96).

She has mentored 14 Master’s degree students and five undergraduate students at various institutions, including at Mayo Clinic (USA) (ranked best hospital in the world, Newsweek), D'Annunzio University of Chieti–Pescara (Italy), and University of L’Aquila (Italy). She has also taken an active role in the “Young Scientists” program for high school students.

Main research fields:

  • Hybrid delivery systems: design new hybrid nanosystems consisting of synthetic nanoparticles and extracellular vesicles for a best-of-both worlds approach that enables delivery of therapeutic peptides.
  • Advanced purification methods for extracellular vesicles: develop improved purification methods for extracellular vesicles derived from biofluids, such as plasma.

Research Impacts

Dr. Iannotta’s research contributes to scientific knowledge and health, through the development of new systems that improve the efficiency and targeting of drugs. Additionally, her research on extracellular vesicles provides valuable contribution to this emerging and exponentially growing field.

Qualifications

  • Doctor of Philosophy of Molecular Biotechnology
  • Masters (Research) of Molecular Biotechnology

Publications

View all Publications

Available Projects

  • Liposomes are self-assembling lipid-based nanoparticles that enclose an aqueous core. An advantage of liposomes is versatility in terms of efficient loading of both hydrophilic and hydrophobic therapeutics. Liposomes represent the largest category of clinically approved nanoparticles, but they have simple surfaces that display limited biointerfacing properties.

    In recent years, extracellular vesicles (EVs) have captured considerable interest due to their involvement in multiple physiological and pathological processes. EVs are cell-released nanoparticles that display complex surfaces with organotropic features, making them attractive as drug delivery systems. However, EVs also display disadvantages, such as reduced drug loading efficiency compared to synthetic counterparts.

    In this project, a library of hybrid nanosystems with various liposome and EV components will be developed. The hybrid nanosystems will be characterized and assessed in terms of loading efficiency (therapeutic peptides) and organotropism.

View all Available Projects

Publications

Journal Article

Grants (Administered at UQ)

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • Liposomes are self-assembling lipid-based nanoparticles that enclose an aqueous core. An advantage of liposomes is versatility in terms of efficient loading of both hydrophilic and hydrophobic therapeutics. Liposomes represent the largest category of clinically approved nanoparticles, but they have simple surfaces that display limited biointerfacing properties.

    In recent years, extracellular vesicles (EVs) have captured considerable interest due to their involvement in multiple physiological and pathological processes. EVs are cell-released nanoparticles that display complex surfaces with organotropic features, making them attractive as drug delivery systems. However, EVs also display disadvantages, such as reduced drug loading efficiency compared to synthetic counterparts.

    In this project, a library of hybrid nanosystems with various liposome and EV components will be developed. The hybrid nanosystems will be characterized and assessed in terms of loading efficiency (therapeutic peptides) and organotropism.