ArticleSensors (Basel, Switzerland)2018
A Simple Surface-Enhanced Raman Spectroscopic Method for on-Site Screening of Tetracycline Residue in Whole Milk.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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Who cites it
16 citing papers in PubMed, 78 citations in OpenAlex.
- Early Screening for Cervical Squamous Cell Carcinoma and Precancerous Lesions Based on Surface-Enhanced Raman Spectroscopy Microarray Chips.International journal of nanomedicine · 2026Article
- Porous boron nitride-coupled gold nanorods enable highly sensitive SERS detection of tetracycline hydrochloride.Mikrochimica acta · 2025Article
- Pen-on-Paper Label-Free Surface-Enhanced Raman Scattering (SERS) Detection of Tetracycline in Milk.ACS omega · 2025Article
- Recent Advances in Pretreatment Methods and Detection Techniques for Veterinary Drug Residues in Animal-Derived Foods.Metabolites · 2025Review
- Rapid discrimination and ratio quantification of mixed antibiotics in aqueous solution through integrative analysis of SERS spectra via CNN combined with NN-EN model.Journal of advanced research · 2025Article
- Pseudo-Siamese network combined with label-free Raman spectroscopy for the quantification of mixed trace amounts of antibiotics in human milk: A feasibility study.Food chemistry: X · 2024Article
- Food Safety Issues in the Oltrepò Pavese Area: A SERS Sensing Perspective.Sensors (Basel, Switzerland) · 2023Review
- Ultrasensitive colorimetric detection of tetracyclines based on in-situ growth of gold nanoflowers.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023Article
- Sensing Antibiotics in Wastewater Using Surface-Enhanced Raman Scattering.Environmental science & technology · 2023Article
- Transforming waste into value: pomelo-peel-based nitrogen-doped carbon dots for the highly selective detection of tetracycline.RSC advances · 2022Article
- Handheld SERS coupled with QuEChERs for the sensitive analysis of multiple pesticides in basmati rice.NPJ science of food · 2022Article
- A Review of Detection of Antibiotic Residues in Food by Surface-Enhanced Raman Spectroscopy.Bioinorganic chemistry and applications · 2021Review
- Rapid Raman Spectroscopic Analysis of Stress Induced Degradation of the Pharmaceutical Drug Tetracycline.Molecules (Basel, Switzerland) · 2020Article
- Paper-Based SERS Platform for One-Step Screening of Tetracycline in Milk.Scientific reports · 2019Article
- Magnetite-Supported Gold Nanostars for the Uptake and SERS Detection of Tetracycline.Nanomaterials (Basel, Switzerland) · 2018Article
- Probe of Alcohol Structures in the Gas and Liquid States Using C⁻H Stretching Raman Spectroscopy.Sensors (Basel, Switzerland) · 2018Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Therapeutic and subtherapeutic use of veterinary drugs has increased the risk of residue contamination in animal food products. Antibiotics such as tetracycline are used for mastitis treatment of lactating cows. Milk expressed from treated cows before the withdrawal period has elapsed may contain tetracycline residue. This study developed a simple surface-enhanced Raman spectroscopic (SERS) method for on-site screening of tetracycline residue in milk and water. Six batches of silver colloid nanoparticles were prepared for surface enhancement measurement. Milk-tetracycline and water-tetracycline solutions were prepared at seven concentration levels (1000, 500, 100, 10, 1, 0.1, and 0.01 ppm) and spiked with silver colloid nanoparticles. A 785 nm Raman spectroscopic system was used for spectral measurement. Tetracycline vibrational modes were observed at 1285, 1317 and 1632 cm
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.