ReviewMolecules (Basel, Switzerland)2019
Determination of Kanamycin by High Performance Liquid Chromatography.
Review in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 134 citations in OpenAlex.
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- From lab to field: revolutionizing antibiotic detection with aptamer-based biosensors.RSC advances · 2025Review
- Ultrasensitive and Real-Time Detection of Kanamycin Residues in Milk Using an Aptasensor Based on Microfluidic Capacitive Strategy.Biosensors · 2025Article
- A simple self-assembly aptasensor for ultrasensitive detection of kanamycin based on carbon dots and TiRSC advances · 2025Article
- Sucrose and malic acid in the tobacco plant induceJournal of bacteriology · 2025Article
- Reactivation of hidden-latentAntimicrobial agents and chemotherapy · 2025Article
- Visual detection of kanamycin with functionalized Au nanoparticles.Mikrochimica acta · 2025Article
- Chemiluminescence detection of kanamycin by DNA aptamer regulating peroxidase-like activity of CoAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Article
- A comprehensive review on the pretreatment and detection methods of nitrofurans and their metabolites in animal-derived food and environmental samples.Food chemistry: X · 2024Review
- Harnessing gold nanomaterials for advanced multicolor colorimetric biosensors in food hazards detection.Journal of food and drug analysis · 2024Review
- Lattice matching enables construction of CaS@NaYFMikrochimica acta · 2024Article
- Determination of Aminoglycosides by Ion-Pair Liquid Chromatography with UV Detection: Application to Pharmaceutical Formulations and Human Serum Samples.Molecules (Basel, Switzerland) · 2024Article
- Electrochemiluminescent assay based on Co-MOF and TiOMikrochimica acta · 2024Article
- Integrating porphyrin-based nanoporous organic polymers with electrochemical aptasensors for ultratrace detection of kanamycin.Mikrochimica acta · 2024Article
- Dual roles of nanocrystalline cellulose extracted from jute (Nanoscale advances · 2023Article
- Sub-femtomolar capacitance-based biosensing of kanamycin using screen-printed electrodes coated with redox-active polymeric films.Mikrochimica acta · 2023Article
- Label-free "signal-off" PEC aptasensor for determination of kanamycin based on 3D nanoflower-like FeInMikrochimica acta · 2023Article
- Potential anticancer properties of calotropis procera: An investigation on breast and colon cancer cells.Heliyon · 2023Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Kanamycin is an aminoglycoside antibiotic widely used in treating animal diseases caused by Gram-negative and Gram-positive infections. Kanamycin has a relatively narrow therapeutic index, and can accumulate in the human body through the food chain. The abuse of kanamycin can have serious side-effects. Therefore, it was necessary to develop a sensitive and selective analysis method to detect kanamycin residue in food to ensure public health. There are many analytical methods to determine kanamycin concentration, among which high performance liquid chromatography (HPLC) is a common and practical tool. This paper presents a review of the application of HPLC analysis of kanamycin in different sample matrices. The different detectors coupled with HPLC, including Ultraviolet (UV)/Fluorescence, Evaporative Light Scattering Detector (ELSD)/Pulsed Electrochemical Detection (PED), and Mass Spectrometry, are discussed. Meanwhile, the strengths and weaknesses of each method are compared. The pre-treatment methods of food samples, including protein precipitation, liquid-liquid extraction (LLE), and solid-phase extraction (SPE) are also summarized in this paper.
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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.