Dataset Information

A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red.

ABSTRACT: A new approach is presented for analysis of microplastics in environmental samples, based on selective fluorescent staining using Nile Red (NR), followed by density-based extraction and filtration. The dye adsorbs onto plastic surfaces and renders them fluorescent when irradiated with blue light. Fluorescence emission is detected using simple photography through an orange filter. Image-analysis allows fluorescent particles to be identified and counted. Magnified images can be recorded and tiled to cover the whole filter area, allowing particles down to a few micrometres to be detected. The solvatochromic nature of Nile Red also offers the possibility of plastic categorisation based on surface polarity characteristics of identified particles. This article details the development of this staining method and its initial cross-validation by comparison with infrared (IR) microscopy. Microplastics of different sizes could be detected and counted in marine sediment samples. The fluorescence staining identified the same particles as those found by scanning a filter area with IR-microscopy.

SUBMITTER: Maes T

PROVIDER: S-EPMC5353725 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red.

Maes Thomas T Jessop Rebecca R Wellner Nikolaus N Haupt Karsten K Mayes Andrew G AG

Scientific reports 20170316

A new approach is presented for analysis of microplastics in environmental samples, based on selective fluorescent staining using Nile Red (NR), followed by density-based extraction and filtration. The dye adsorbs onto plastic surfaces and renders them fluorescent when irradiated with blue light. Fluorescence emission is detected using simple photography through an orange filter. Image-analysis allows fluorescent particles to be identified and counted. Magnified images can be recorded and tiled ...[more]

PMID: 28300146

Similar Datasets

Project description:This study aimed to investigate the PCR-based screening strategy for the prediction of the antimicrobial biosynthetic potential of the selected Streptomyces strains originated from an extreme environment (Cholistan Desert, Pakistan). The biosynthetic potential was determined by using both molecular and culture-dependent screening approaches. The four biosynthetic genes clusters, including the pks-1, nrps, cyp P450 hydroxylase (cyps), and glycopeptide oxy b genes, were investigated in the selected strains by PCR amplification, sequencing, and by subsequent bioinformatics approaches. Among the 40 selected Streptomyces strains, 33 strains possessed the nrps gene, 17 strains carried the pks-1 gene, four strains were found to have the cyps gene, and none of the strain carried oxy b gene. The Streptomyces strains including NR-1, NR-10, NR-14, and NR-15 were investigated for in vitro antifungal activity against Fusarium oxysporum, Rhizoctonia solani, and Aspergillus sp. The extracts were analyzed for chemical profiling (TLC and HPLC-UV), and a unique pattern of secondary metabolites was observed. The selected strains exhibited pronounced antifungal activity against the fungal test strains with the zone of inhibition up to 17, 18, and 19 mm, respectively. The study depicts that gene-based screening can be successfully applied to identify potentially bioactive strains by usin a single screening process. This PCR-based approach is rapid and can be used for sorting out and selecting the potential candidate among actinobacterial culture collections. Such a preselection or strain prioritization consequently decreases the time and efforts required for selecting the potential bioactive strain, which then can be subjected to the detailed chemical analysis.This study aimed to investigate the PCR-based screening strategy for the prediction of the antimicrobial biosynthetic potential of the selected Streptomyces strains originated from an extreme environment (Cholistan Desert, Pakistan). The biosynthetic potential was determined by using both molecular and culture-dependent screening approaches. The four biosynthetic genes clusters, including the pks-1, nrps, cyp P450 hydroxylase (cyps), and glycopeptide oxy b genes, were investigated in the selected strains by PCR amplification, sequencing, and by subsequent bioinformatics approaches. Among the 40 selected Streptomyces strains, 33 strains possessed the nrps gene, 17 strains carried the pks-1 gene, four strains were found to have the cyps gene, and none of the strain carried oxy b gene. The Streptomyces strains including NR-1, NR-10, NR-14, and NR-15 were investigated for in vitro antifungal activity against Fusarium oxysporum, Rhizoctonia solani, and Aspergillus sp. The extracts were analyzed for chemical profiling (TLC and HPLC-UV), and a unique pattern of secondary metabolites was observed. The selected strains exhibited pronounced antifungal activity against the fungal test strains with the zone of inhibition up to 17, 18, and 19 mm, respectively. The study depicts that gene-based screening can be successfully applied to identify potentially bioactive strains by usin a single screening process. This PCR-based approach is rapid and can be used for sorting out and selecting the potential candidate among actinobacterial culture collections. Such a preselection or strain prioritization consequently decreases the time and efforts required for selecting the potential bioactive strain, which then can be subjected to the detailed chemical analysis.

Dataset Information

A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red.

Publications

A rapid-screening approach to detect and quantify microplastics based on fluorescent tagging with Nile Red.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets