ArticleMolecules (Basel, Switzerland)2019
Synthesis of Graphene Oxide Based Sponges and Their Study as Sorbents for Sample Preparation of Cow Milk Prior to HPLC Determination of Sulfonamides.
Article 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 7 papers.
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7 citing papers in PubMed.
- Synthesis of sol-gel poly(ethylene glycol) coated foams for the microextraction of multiclass pesticides from apple juice samples.RSC advances · 2026Article
- Article
- Mechanically Tunable Spongy Graphene/Cellulose Nanocrystals Hybrid Aerogel by Atmospheric Drying and Its Adsorption Applications.Materials (Basel, Switzerland) · 2021Article
- Sponges and Sponge-Like Materials in Sample Preparation: A Journey from Past to Present and into the Future.Molecules (Basel, Switzerland) · 2020Review
- Sample Preparation Using Graphene-Oxide-Derived Nanomaterials for the Extraction of Metals.Molecules (Basel, Switzerland) · 2020Review
- NHMolecules (Basel, Switzerland) · 2020Article
- The Current Role of Graphene-Based Nanomaterials in the Sample Preparation Arena.Frontiers in chemistry · 2020Review
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Authors and funding
3 authors.
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Abstract
In the present study, a novel, simple, and fast sample preparation technique is described for the determination of four sulfonamides (SAs), namely Sulfathiazole (STZ), sulfamethizole (SMT), sulfadiazine (SDZ), and sulfanilamide (SN) in cow milk prior to HPLC. This method takes advantage of a novel material that combines the extractive properties of graphene oxide (GO) and the known properties of common polyurethane sponge (PU) and that makes sample preparation easy, fast, cheap and efficient. The PU-GO sponge was prepared by an easy and fast procedure and was characterized with FTIR spectroscopy. After the preparation of the sorbent material, a specific extraction protocol was optimized and combined with HPLC-UV determination could be applied for the sensitive analysis of trace SAs in milk. The proposed method showed good linearity while the coefficients of determination (R
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