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A high-throughput method to characterize the gut bacteria growth upon engineered nanomaterial treatment.
Yang, Qin; Keerthisinghe, Tharushi Prabha; Tan, Tiffany Rou Jie; Cao, Xiaoqiong; Setyawati, Magdiel Inggrid; DeLoid, Glen; Ng, Kee Woei; Loo, Say Chye Joachim; Demokritou, Philip; Fang, Mingliang.
Affiliation
  • Yang Q; School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
  • Keerthisinghe TP; Nanyang Environment and Water Research Institute, Nanyang Technological University, 637141, Singapore.
  • Tan TRJ; School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
  • Cao X; Nanyang Environment and Water Research Institute, Nanyang Technological University, 637141, Singapore.
  • Setyawati MI; School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
  • DeLoid G; Nanyang Environment and Water Research Institute, Nanyang Technological University, 637141, Singapore.
  • Ng KW; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA, 02115 USA.
  • Loo SCJ; School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
  • Demokritou P; Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, T.H. Chan School of Public Health, Harvard University, 655 Huntington Ave, Boston, MA, 02115 USA.
  • Fang M; Nanyang Environment and Water Research Institute, Nanyang Technological University, 637141, Singapore.
Environ Sci Nano ; 7(10): 3155-3166, 2020 Oct 01.
Article in En | MEDLINE | ID: mdl-33101690
Human are increasingly exposed to various types of engineered nanomaterials (ENMs) via dietary ingestion of nano-enabled food products, but these ENMs' impact 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 of increasing ENMs on human gut microbiome. In this study, we developed a DNA-based quantification (DBQ) method in a 96-well plate format. Post-spiking method was used to correct the interference from ENMs on the reading. We showed the applicability of this method for several types of ENMs, i.e., cellulose nanofiber (CNF), 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 in the course of 8 hr. 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 metabolites or proteins analysis.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Sci Nano Year: 2020 Type: Article Affiliation country: Singapore

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Sci Nano Year: 2020 Type: Article Affiliation country: Singapore