Literature DB >> 27638413

Application of flow cytometry to monitor assimilable organic carbon (AOC) and microbial community changes in water.

Ahmed M Elhadidy1, Michele I Van Dyke2, Sigrid Peldszus2, Peter M Huck2.   

Abstract

Flow cytometry is an efficient monitoring tool for rapid cell counting, and can be applied to research on water quality and treatment. In this study, a method that employs flow cytometry and a natural microbial inoculum to determine assimilable organic carbon (AOC) was adapted for use with challenging surface waters that have a high organic and particle content, and subsequently applied in a long term river water study. AOC method optimization showed that river water bacteria could pass through a 0.2μm membrane filter, and therefore membrane filtration combined with heat treatment was required for sample sterilization. Preparation of the natural river inoculum with an acceptable yield value could only be achieved when grown using the natural water source, since growth was limited on different types of inorganic minimal media and in natural spring water. The resulting flow cytometry AOC method was reliable and reproducible, and results were comparable to the standard plate count AOC method. Size exclusion chromatography showed that both high and low molecular weight organic matter fractions were utilized by the natural AOC inoculum. Flow cytometry was used to measure both AOC levels and total cell counts in a long term study to monitor the water quality of a river which was used as a drinking water source. The method could distinguish between high nucleic acid (HNA) and low nucleic acid (LNA) groups of bacteria, and HNA bacteria were found to respond faster than LNA bacteria to seasonal changes in nutrients and water temperature.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Assimilable organic carbon; Biopolymers; Flow cytometer; High nucleic acid bacteria; Low nucleic acid bacteria

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Year:  2016        PMID: 27638413     DOI: 10.1016/j.mimet.2016.09.009

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  2 in total

1.  Variation of High and Low Nucleic Acid-Content Bacteria in Tibetan Ice Cores and Their Relationship to Black Carbon.

Authors:  Guannan Mao; Mukan Ji; Baiqing Xu; Yongqin Liu; Nianzhi Jiao
Journal:  Front Microbiol       Date:  2022-02-14       Impact factor: 5.640

2.  Assimilable organic carbon (AOC) determination using GFP-tagged Pseudomonas fluorescens P-17 in water by flow cytometry.

Authors:  Peng Tang; Jie Wu; Hou Liu; Youcai Liu; Xingding Zhou
Journal:  PLoS One       Date:  2018-06-14       Impact factor: 3.240

  2 in total

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