Title
Engineering of bio-mimetic substratum topographies for enhanced early colonization of filamentous algae
Document Type
Article
Publication Date
7-5-2019
Abstract
This work reveals a set of surface topography parameters that are significant for algal attachment to natural rock substrata. Topography analysis of rock surfaces from a stream identifies three descriptive areal parameters (Smr, Sv, and Sa) that correlate with the presence of natural periphyton community. A method was developed and validated to reverse engineer and manufacture artificial substrata with topographic complexity defined by these parameters, using computational modeling and additive manufacturing. Results from colonization experiments with filamentous algae show statistically significant increases in early biomass accrual rates on substrata with higher values of Sa and Sv parameters and lower values of Smr parameter. These results suggest that manipulation of the level of roughness (peak-to-valley distance and material ratio above the mean) and the distribution of hill and dale sequences can control initial colonization locations and biomass accrual rates, presumably by enhancing growth and recruitment of cells from the overlying flow into protected refugia spaces. As such, these findings provide an approach for optimizing the design of substratum for increased early biomass productivity for attached growth algae cultivation systems.
Publication Title
PLoS ONE
Repository Citation
Khoshkhoo, Ali; Carrano, Andres L.; Blersch, David M.; and Kardel, Kamran, "Engineering of bio-mimetic substratum topographies for enhanced early colonization of filamentous algae" (2019). Engineering Faculty Publications. 299.
https://digitalcommons.fairfield.edu/engineering-facultypubs/299
Published Citation
Khoshkhoo, Ali, Andres L. Carrano, David M. Blersch, Kamran Kardel. 2019. "Engineering of bio-mimetic substratum topographies for enhanced early colonization of filamentous algae." PLoS ONE, 14 (7). doi: 10.1371/journal.pone.0219150.
DOI
10.1371/journal.pone.0219150
Peer Reviewed
Comments
© 2019 Khoshkhoo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.