ArticleEnvironmental science & technology2023
Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering.
Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The trial behind it
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Who cites it
18 citing papers in PubMed.
- SERS-powered precision: revolutionizing therapeutic drug monitoring with nanoscale sensitivity.Mikrochimica acta · 2025Review
- Preparation of doped Mn, N-CDs and their application in the detection of ampicillin.Scientific reports · 2025Article
- Integrating liquid-phase interfacial SERS ratiometric sensors with biobarcoded nanoparticle probes for on-site sensitive detection of antibiotic residues in food.Mikrochimica acta · 2025Article
- Quantum vibropolaritonic sensing.Science advances · 2025Article
- Combining Phenotypic and Genotypic Methods for the Rapid Detection of Antibiotic-Resistant Bacteria in Wastewater Using a Microfluidic Centrifugal Disc.ACS ES&T engineering · 2025Article
- Emerging technologies for detecting antibiotics in aquaculture wastewater: A critical review.Environmental science and ecotechnology · 2025Review
- Pickering emulsions with low interface coverage but enhanced stability for emulsion interface catalysis and SERS-based detection.Nature communications · 2025Article
- Parasites in Sewage: Legal Requirements and Diagnostic Tools.Pathogens (Basel, Switzerland) · 2025Review
- Silver nanowire/gold nanosphere binary plasma-assembled membranes for sensitive SERS detection of homocysteine.Mikrochimica acta · 2024Article
- Mitigating Antibiotic Resistance: The Utilization of CRISPR Technology in Detection.Biosensors · 2024Review
- Multiplexed SERS Detection of Serum Cardiac Markers Using Plasmonic Metasurfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Recent Progress in Nanomaterial-Based Surface-Enhanced Raman Spectroscopy for Food Safety Detection.Nanomaterials (Basel, Switzerland) · 2024Review
- Efficient Sequential Detection of Two Antibiotics Using a Fiber-Optic Surface Plasmon Resonance Sensor.Sensors (Basel, Switzerland) · 2024Article
- Analysis and experimental assessment of an optimized SERS substrate used to detect thiabendazole in apples with high sensitivity.Analytical and bioanalytical chemistry · 2024Article
- Article
- Determination of sulfide in complex biofilm matrices using silver-coated, 4-mercaptobenzonitrile-modified gold nanoparticles, encapsulated in ZIF-8 as surface-enhanced Raman scattering nanoprobe.Mikrochimica acta · 2023Article
- Modernized Machine Learning Approach to Illuminate Enzyme Immobilization for Biocatalysis.ACS central science · 2023Article
- Advances in Surface-Enhanced Raman Scattering Sensors of Pollutants in Water Treatment.Nanomaterials (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Rapid and cost-effective detection of antibiotics in wastewater and through wastewater treatment processes is an important first step in developing effective strategies for their removal. Surface-enhanced Raman scattering (SERS) has the potential for label-free, real-time sensing of antibiotic contamination in the environment. This study reports the testing of two gold nanostructures as SERS substrates for the label-free detection of quinoline, a small-molecular-weight antibiotic that is commonly found in wastewater. The results showed that the self-assembled SERS substrate was able to quantify quinoline spiked in wastewater with a lower limit of detection (LoD) of 5.01 ppb. The SERStrate (commercially available SERS substrate with gold nanopillars) had a similar sensitivity for quinoline quantification in pure water (LoD of 1.15 ppb) but did not perform well for quinoline quantification in wastewater (LoD of 97.5 ppm) due to interferences from non-target molecules in the wastewater. Models constructed based on machine learning algorithms could improve the separation and identification of quinoline Raman spectra from those of interference molecules to some degree, but the selectivity of SERS intensification was more critical to achieve the identification and quantification of the target analyte. The results of this study are a proof-of-concept for SERS applications in label-free sensing of environmental contaminants. Further research is warranted to transform the concept into a practical technology for environmental monitoring.
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Registered trials
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