Issue 10, 2020

A high-throughput method to characterize the gut bacteria growth upon engineered nanomaterial treatment

Abstract

Humans are increasingly exposed to various types of engineered nanomaterials (ENMs) via dietary ingestion of nano-enabled food products, but the impact of these ENMs on the gut bacteria health is still poorly understood. Current efforts in understanding the impact of these ENMs are hampered by their optical interferences in conventional quantification and viability assays, such as optical density and whole cell fluorescence staining assays. Therefore, there is a need to develop a more reliable bacteria quantification method in the presence of ENMs to effectively screen the potential adverse effects arising from the exposure to increasing ENMs on the human gut microbiome. In this study, we developed a DNA-based quantification (DBQ) method in a 96-well plate format. A post-spiking method was used to correct the interference from ENMs in the reading. We showed the applicability of this method for several types of ENMs, i.e., cellulose nanofibers (CNFs), graphene oxide (GO), silicon dioxide (SiO2), and chitosan, both in pure bacterial culture and in vitro human gut microbiome community. The detection limit for the highest dosing of CNF, GO, SiO2, and chitosan ENMs was approximately 0.18, 0.19, 0.05, and 0.24 as OD600, respectively. The method was also validated by a dose response experiment of E. coli with chitosan over the course of 8 h. We believe that this method has great potential to be used in screening the effect of ENMs on the growth of gut bacteria or any other in vitro models and normalization for metabolite or protein analysis.

Graphical abstract: A high-throughput method to characterize the gut bacteria growth upon engineered nanomaterial treatment

Supplementary files

Article information

Article type
Paper
Submitted
28 maí 2020
Accepted
20 ágú. 2020
First published
20 ágú. 2020

Environ. Sci.: Nano, 2020,7, 3155-3166

A high-throughput method to characterize the gut bacteria growth upon engineered nanomaterial treatment

Q. Yang, T. P. Keerthisinghe, T. R. J. Tan, X. Cao, M. I. Setyawati, G. DeLoid, K. W. Ng, S. C. J. Loo, P. Demokritou and M. Fang, Environ. Sci.: Nano, 2020, 7, 3155 DOI: 10.1039/D0EN00568A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements