Detection and Screening of Organic Contaminants in A Riverine System of Georgia Using Non-Targeted Analysis
Abstract
:1. Introduction
- What specific organic contaminants are prevalent in the water of the North Oconee River watershed in Athens-Clarke County, Georgia, given its significance as a drinking water source?
- Are chemical and biological transformations occurring within the North Oconee River watershed system, potentially altering the composition or toxicity of organic pesticides and related compounds?
2. Materials and Method
2.1. Sample Collection and Preservation
2.2. Extraction of Water Samples
2.3. Microbial Degradation Study of Malathion in Different Environmental Conditions
2.4. Instrumental Analysis
2.5. Non-Targeted Data Analysis
- Found in all the samples collected during a sampling event.
- Not found in any of the field blanks or, if found in a field blank, the peak area should be three times larger in the samples.
- Has a similarity score (as calculated by the Mass Hunter qualitative software, v 10.0, Agilent Technologies®, USA) to a reference spectrum in the NIST library of ≥500.
- Three or more molecular ions in the sample should match with the NIST library to hit a peak for a given analyte.
2.6. Quality Assurance and Quality Control (QA/QC)
3. Results and Discussion
3.1. Physiological Parameter Dynamics in River Water
3.2. Extent of Organic Contaminants Detected in River Water
3.3. Chemical and Biological Degradation of Malathion
Supplementary Materials
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Sample Site | Date | Latitude and Longitude | Temp (°C) | pH | ORP | DO (ppm) | Conductivity (µS/cm) | TDS (ppm) | Salinity (PSU) | Turbidity (NTU) |
---|---|---|---|---|---|---|---|---|---|---|
Firefly Trail (FT) | 08/25/2023 (E*1) | 33.956652 N, 83.367263 W | 31.2 | 7.19 | 212 | 2.3 | 179 | 78 | 0.005 | 26.5 |
09/19/2023 (E2) | 30.8 | 7.2 | 218.8 | 3.1 | 114 | 73 | 0.004 | 27.1 | ||
10/19/2023 (E3) | 13.87 | 7.26 | 159.4 | 4.8 | 156 | 69 | 0.08 | 31.4 | ||
12/12/2023 (E4) | 8.1 | 6.9 | 190 | 2.9 | 120 | 101 | 0.08 | 25 | ||
30/1/2024 (E5) | 7.3 | 6.43 | 179.2 | 6.1 | 100 | 45 | 0.05 | 29 |
GC | |
Agilent 8860 GC System with Auto-Injector and Tray | |
Inlet | |
Split/Splitless inlet | |
Mode | Pulsed splitless |
Injection pulse pressure | 50 psi until 0.7 min |
Purge flow to split vent | 50 psi until 0.75 min |
Injection volume | 1 µL |
Inlet temperature | 280 °C |
Carrier gas | Helium |
Inlet liner | Agilent low pressure-drop (LPD) with glass wool |
Oven | |
Initial oven temperature | 80 °C |
Initial oven hold | 1.5 min |
Ramp rate 1 | 40 °C/min |
Final temperature 1 | 120 °C |
Final hold 1 | 0 min |
Ramp rate 2 | 10 °C/min |
Final temperature 2 | 300 °C |
Final hold 2 | 4 min |
Total run time | 24.5 min |
Post run time | 1.5 min |
Equilibration time | 0.25 min |
Column | |
Type | Agilent J&W HP-5 ms Ultra Inert |
Length | 30 m |
Diameter | 0.25 mm |
Film thickness | 0.25 µm |
Control mode | Constant flow |
Flow | 1.374 mL/min |
Inlet connection | Split/Splitless |
Outlet connection | MSD |
MSD | |
Model | Agilent 5977B MSD |
Tune file | CUSTOM.U |
Mode | Scan and SIM |
Scan range | 45 to 550 amu |
Solvent delay | 4 min |
Quad temperature | 150 °C |
Source temperature | 280 °C |
Transfer line temperature | 280 °C |
SIM (m/z) | 93.0, 125.0, 173.0 |
Chemical Categories | Name of the Analyte |
---|---|
Organophosphates | Malathion |
Malaoxon | |
Phosphorodithioic acid, O, O, S-trimethyl ester (also can be categorized under ester) | |
Succinic acid, mercapto-, diethyl ester, S-ester with O, S-dimethyl phosphorodithioate | |
Polycyclic Aromatic Hydrocarbons (PAHs) | Naphthalene |
Fluorene | |
9H-Fluorene, 9-methylene- | |
Organohalides | Aldrin |
Methoxychlor | |
Heptachlor | |
Benzaldehyde, 3,4-dimethyl- | |
Endrin | |
Benzenamine, 4-fluoro-2-(trifluoromethyl)- | |
UV Absorbers | Tinuvin 234 |
Benzophenone | |
Plasticizers | Triacetin |
Boryl Compounds | Benzaldimine, N-(diethylboryl)- |
Acrylates | Diethyleneglycol diacrylate |
Esters | Pentanedioic acid, 3-thioxo-, diethyl ester |
9-Octadecenoic acid, ethyl ester | |
Diethyl fumarate | |
2-Butanedioic acid(Z)-,diethyl ester | |
Ethyl 3,3-diethoxypropionate | |
Aliphatic Compounds | Decane, 2,4-dimethyl- |
4-Methyl-2,6,7-trithiabicyclo[2.2.2]octane | |
2,6,8-Trimethyl-4-nonyl acetate | |
Cetene | |
Amino Acids and Derivatives | L-Alanine, TBDMS derivative |
Thiazole Derivatives | Thiazole-5-methanol, TMS |
Pyrazole, 5-methyl-3,4-dinitro-1-(piperidinoylmethyl)- | |
Ketones | 4-Heptanone, 2-methyl- |
Pyrimidine | 2,4,5-Trihydroxypyrimidine |
Carboxyl acid amide | Acetamide, N-(2,4-difluorophenyl)-2-[(4,5-dihydro-2-thiazolyl) thio]- |
Sampling Events | Firefly Trail (FT) |
FT_Aug2023 (E1) | 25.640 |
FT_Sept2023 (E2) | 24.438 |
FT_Oct2023 (E3) | 31.208 |
FT_Dec2023 (E4) | 34.424 |
FT_Jan2024 (E5) | 39.408 |
Parameters | Firefly Trail (FT) |
Min | 24.438 |
Max | 39.408 |
Geomean | 30.531 |
Median | 31.208 |
1st Quartile | 25.640 |
3rd Quartile | 34.424 |
Std Dev | 5.554 |
Average | 31.024 |
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Share and Cite
Basapuram, G.; Duttagupta, S.; Dutta, A. Detection and Screening of Organic Contaminants in A Riverine System of Georgia Using Non-Targeted Analysis. Environments 2024, 11, 89. https://doi.org/10.3390/environments11050089
Basapuram G, Duttagupta S, Dutta A. Detection and Screening of Organic Contaminants in A Riverine System of Georgia Using Non-Targeted Analysis. Environments. 2024; 11(5):89. https://doi.org/10.3390/environments11050089
Chicago/Turabian StyleBasapuram, Gayatri, Srimanti Duttagupta, and Avishek Dutta. 2024. "Detection and Screening of Organic Contaminants in A Riverine System of Georgia Using Non-Targeted Analysis" Environments 11, no. 5: 89. https://doi.org/10.3390/environments11050089