Tracking the activity of the Anammox-DAMO process using excitation–emission matrix (EEM) fluorescence spectroscopy

2017 ◽  
Vol 122 ◽  
pp. 624-632 ◽  
Author(s):  
Yong-Ze Lu ◽  
Na Li ◽  
Zhao-Wei Ding ◽  
Liang Fu ◽  
Ya-Nan Bai ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Excitation Emission Matrix ◽  
Eem Fluorescence

scholarly journals Excitation Emission Matrix Fluorescence Spectroscopy for Combustion Generated Particulate Matter Source Identification

2019 ◽  
Author(s):  
Jay Rutherford ◽  
Neal Dawson-Elli ◽  
Anne M. Manicone ◽  
Gregory V. Korshin ◽  
Igor V. Novosselov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Particulate Matter ◽  
Fluorescence Spectroscopy ◽  
Source Identification ◽  
Mitigation Strategies ◽  
Training Data ◽  
Anthropogenic Sources ◽  
Excitation Emission Matrix ◽  
Field Samples ◽  
Eem Fluorescence

The inhalation of particulate matter (PM) is a significant health risk associated with reduced life expectancy due to increased cardio-pulmonary disease and exacerbation of respiratory diseases such as asthma and pneumonia. PM originates from natural and anthropogenic sources including combustion engines, cigarettes, agricultural burning, and forest fires. Identifying the source of PM can inform effective mitigation strategies and policies, but this is difficult to do using current techniques. Here we present a method for identifying PM source using excitation emission matrix (EEM) fluorescence spectroscopy and a machine learning algorithm. We collected combustion generated PM2.5 from wood burning, diesel exhaust, and cigarettes using filters. Filters were weighted to determine mass concentration followed by extraction into cyclohexane and analysis by EEM fluorescence spectroscopy. Spectra obtained from each source were used as machine learning training data for source identification in mixed samples. This method can predict the presence or absence of the three laboratory sources with an overall accuracy of 89% when the threshold for classifying a source as present is 1.1 µg/m3 in air over a 24-hour sampling time. We apply this method to a small set of field samples to evaluate its effectiveness.<br>

Three-dimensional excitation emission matrix fluorescence spectroscopy and gel-permeating chromatography to characterize extracellular polymeric substances in aerobic granulation

2010 ◽  
Vol 61 (11) ◽  
pp. 2931-2942 ◽  
Author(s):  
Huacheng Xu ◽  
Pinjing He ◽  
Guanzhao Wang ◽  
Liming Shao
Keyword(s):  
Molecular Weight ◽  
Fluorescence Spectroscopy ◽  
Extracellular Polymeric Substances ◽  
Operating Time ◽  
Three Dimensional ◽  
Aerobic Granules ◽  
Aerobic Granulation ◽  
Excitation Emission Matrix ◽  
Two Peaks ◽  
Eem Fluorescence

Three-dimensional excitation emission matrix (EEM) fluorescence spectroscopy and gel-permeating chromatography (GPC) were employed to characterize the extracellular polymeric substances (EPS) in aerobic granulation. EPS matrix in this study was stratified into four fractions: (1) supernatant, (2) slime, (3) loosely bound EPS (LB-EPS), and (4) tightly bound EPS (TB-EPS). The results showed that the dissolved organic carbon was mainly distributed in TB-EPS fraction, and increased with increasing the operating time. The supernatant, slime, and LB-EPS fractions exhibited four fluorescence peaks, an autochthonous signature, unimodal MW distribution and lower molecular weight (MW) (3 &lt; log [MW]&lt;5), whereas the TB-EPS fraction only had two peaks, an allochthonous signature, multiple peaks and higher MW (5 &lt; log [MW]&lt;7). It was deemed that the formation of aerobic granules was correlated with the accumulation of proteins in the TB-EPS fraction. EEM spectroscopy and GPC profiles could be used as appropriate and effective methods to characterize the EPS in aerobic granulation from a micro-view level.

An analytical method for monitoring micro-traces of landfill leachate in groundwater using fluorescence excitation–emission matrix spectroscopy

2016 ◽  
Vol 8 (17) ◽  
pp. 3475-3480 ◽  
Author(s):  
Diana Amorello ◽  
Salvatore Barreca ◽  
Silvia Gambacurta ◽  
Maria Grazia Gulotta ◽  
Santino Orecchio ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Landfill Leachate ◽  
Natural Water ◽  
Analytical Method ◽  
Three Dimensional ◽  
Water Bodies ◽  
Fluorescence Excitation ◽  
Excitation Emission Matrix ◽  
Natural Water Bodies ◽  
Eem Fluorescence

In this study, we use three-dimensional excitation–emission matrix (EEM) fluorescence spectroscopy for the identification of contamination of natural water bodies by landfill leachate.

Effects of Culture Time on the Production of Bioflocculants

2010 ◽  
Vol 113-116 ◽  
pp. 797-800
Author(s):  
Li Li Wang ◽  
Fang Ma ◽  
Li Wei ◽  
Bing Yu ◽  
Jie Xing
Keyword(s):  
Fluorescence Spectroscopy ◽  
Mixed Culture ◽  
Three Dimensional ◽  
Growth Curves ◽  
Rhizobium Radiobacter ◽  
Excitation Emission Matrix ◽  
Culture Time ◽  
Flocculating Activity ◽  
Eem Fluorescence

Bioflocculant MBF-F2, MBF-F+, and MBF-F6, produced form culture of Rhizobium radiobacter F2, mixed culture of Rhizobium radiobacter F2 and Bacillus sphaeicus F6, and Bacillus sphaeicus F6, respectively, were investigated with regard to their production properties. The growth curves of the microorganisms were investigated. Effect of culture time on the flocculating activity and yield of bioflocculant were examined. Based on these experiments, 24 h was chosen as culture time in this study. In addition, three-dimensional excitation-emission matrix (EEM) fluorescence spectroscopy was applied to characterize the production of the bioflocculants under different culture time.

Brown carbon aerosols in the Indo-Gangetic Plain outflow: insights from excitation emission matrix (EEM) fluorescence spectroscopy

2021 ◽  
Author(s):  
Supriya Dey ◽  
Arya Mukherjee ◽  
Anuraag J Polana ◽  
Archita Rana ◽  
Jingying Mao ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Gangetic Plain ◽  
Brown Carbon ◽  
Excitation Emission Matrix ◽  
Indian Context ◽  
Parallel Factor ◽  
Carbon Aerosols ◽  
Indo Gangetic Plain ◽  
Eem Fluorescence

We report the first characterization of aerosol brown carbon (BrC) composition in the Indian context using excitation emission matrix (EEM) fluorescence spectroscopy coupled with parallel factor (PARAFAC) analysis. We find...

Monitoring the influence of wastewater effluent on a small drinking water system using EEM fluorescence spectroscopy coupled with a PARAFAC and PCA statistical approach

2021 ◽  
Author(s):  
Yuri Park ◽  
Sean A. MacIsaac ◽  
Parminder Kaur ◽  
Michael Brophy ◽  
Graham A. Gagnon
Keyword(s):  
Organic Matter ◽  
Fluorescence Spectroscopy ◽  
Statistical Approach ◽  
Water System ◽  
Wastewater Effluent ◽  
Recycled Water ◽  
Excitation Emission Matrix ◽  
Drinking Water System ◽  
Potential Use ◽  
Eem Fluorescence

The potential use of a statistical approach for the investigation of complex dissolved organic matter (DOM) sources in surface water within a recycled water system monitored by excitation–emission matrix (EEM) fluorescence spectroscopy is shown.

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