06800
4-Aminoantipirina
for spectrophotometric det. of H2O2 and phenols, ≥98.0%
Sinônimo(s):
4-Amino-2,3-dimetil-1-fenil-3-pirazolina-5-ona, Ampirona
About This Item
Produtos recomendados
Nível de qualidade
Ensaio
≥98.0% (NT)
≥98.0%
qualidade
for spectrophotometric det. of H2O2 and phenols
técnica(s)
UV/Vis spectroscopy: suitable
photometry: suitable
pf
105-110 °C (lit.)
108-110 °C
solubilidade
H2O: 0.1 g/mL, clear to slightly hazy
cadeia de caracteres SMILES
CN1N(c2ccccc2)C(=O)C(N)=C1C
InChI
1S/C11H13N3O/c1-8-10(12)11(15)14(13(8)2)9-6-4-3-5-7-9/h3-7H,12H2,1-2H3
chave InChI
RLFWWDJHLFCNIJ-UHFFFAOYSA-N
Procurando produtos similares? Visita Guia de comparação de produtos
Aplicação
- Cu-chelated polydopamine nanozymes with laccase-like activity for photothermal catalytic degradation of dyes.: This research highlights the synthesis of copper-chelated polydopamine nanozymes demonstrating laccase-like activities. These nanozymes enhance the photothermal degradation of dyes, providing a novel approach for environmental remediation (Wang et al., 2024).
- Tramadol and M1 Bioavailability Induced by Metamizole Co-Administration in Donkeys (Equus asinus).: This study explores the pharmacokinetic interactions between tramadol and metamizole in donkeys, offering insights into veterinary medicine and drug administration practices (Araújo-Silva et al., 2024).
- Pharmacokinetics-Based Pediatric Dose Evaluation and Optimization Using Saliva - A Case Study.: This paper presents a methodological innovation using saliva samples to optimize pediatric dosing of medications, which could revolutionize therapeutic drug monitoring in children (Anliker-Ort et al., 2024).
- Spectrophotometric determination of phenol impurity in phenoxyethanol and phenol index of drinking water and municipal wastewater effluent after salting-out assisted liquid phase microextraction (SA-LPME).: This study offers a spectrophotometric method for detecting phenol impurities, enhancing water quality monitoring techniques (Roustaei et al., 2024).
- A novel hybrid sensor array based on the polyphenol oxidase and its nanozymes combined with the machine learning based dual output model to identify tea polyphenols and Chinese teas.: This research introduces a hybrid sensor array employing polyphenol oxidase and its nanozymes for detecting tea polyphenols, showcasing the integration of enzymatic methods with machine learning for enhanced specificity and sensitivity in food analysis (Yang et al., 2024).
Outras notas
produto relacionado
Palavra indicadora
Warning
Frases de perigo
Declarações de precaução
Classificações de perigo
Acute Tox. 4 Oral
Código de classe de armazenamento
11 - Combustible Solids
Classe de risco de água (WGK)
WGK 3
Ponto de fulgor (°F)
Not applicable
Ponto de fulgor (°C)
Not applicable
Equipamento de proteção individual
dust mask type N95 (US), Eyeshields, Gloves
Escolha uma das versões mais recentes:
Já possui este produto?
Encontre a documentação dos produtos que você adquiriu recentemente na biblioteca de documentos.
Os clientes também visualizaram
Nossa equipe de cientistas tem experiência em todas as áreas de pesquisa, incluindo Life Sciences, ciência de materiais, síntese química, cromatografia, química analítica e muitas outras.
Entre em contato com a assistência técnica