Effect of Microgravity on Fungistatic Activity of an α-Aminophosphonate Chitosan Derivative against Aspergillus niger

PLoS One. 2015 Oct 15;10(10):e0139303. doi: 10.1371/journal.pone.0139303. eCollection 2015.

Abstract

Biocontamination within the international space station is ever increasing mainly due to human activity. Control of microorganisms such as fungi and bacteria are important to maintain the well-being of the astronauts during long-term stay in space since the immune functions of astronauts are compromised under microgravity. For the first time control of the growth of an opportunistic pathogen, Aspergillus niger, under microgravity is studied in the presence of α-aminophosphonate chitosan. A low-shear modelled microgravity was used to mimic the conditions similar to space. The results indicated that the α-aminophosphonate chitosan inhibited the fungal growth significantly under microgravity. In addition, the inhibition mechanism of the modified chitosan was studied by UV-Visible spectroscopy and cyclic voltammetry. This work highlighted the role of a bio-based chitosan derivative to act as a disinfectant in space stations to remove fungal contaminants.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antifungal Agents / chemical synthesis
  • Antifungal Agents / chemistry*
  • Antifungal Agents / pharmacology*
  • Aspergillus niger / drug effects*
  • Chitosan / analogs & derivatives*
  • Chitosan / chemical synthesis
  • Chitosan / chemistry*
  • Chitosan / pharmacology
  • Hyphae / drug effects
  • Organophosphonates / chemical synthesis
  • Organophosphonates / chemistry*
  • Organophosphonates / pharmacology*
  • Spacecraft
  • Weightlessness / adverse effects*

Substances

  • Antifungal Agents
  • N-(p-dimethylaminobenzyl) dimethyl-alpha-aminophosphonate chitosan
  • Organophosphonates
  • Chitosan

Grants and funding

This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (1301001076 and 1401001209) and financially supported by the Brain Korea 21 PLUS Project, NRF. This work was also supported by the Basic Research Laboratory Program (2014R1A4A1008140) through the Ministry of Science, ICT& Future Planning and by the Robot industrial cluster construction program through the Ministry of Trade, Industry & Energy (MOTIE). This research was also supported by the National Research Foundation of Korea (NRF) Grant No. 1201002578 funded by the Korean Government and Sathish Kumar was supported by university research grants from Chonbuk National University.