n o 29 bis (MACHEREY NAGEL)
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n o 29 bis
N O 29 Bis, supplied by MACHEREY NAGEL, used in various techniques. Bioz Stars score: 93/100, based on 9 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/derivatization/Derivatization+reagents+for+GC%2C+silylation%2C+BSTFA/pm42874066-412-11-14
Average 93 stars, based on 9 article reviews
N O 29 Bis, supplied by MACHEREY NAGEL, used in various techniques. Bioz Stars score: 93/100, based on 9 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/derivatization/Derivatization+reagents+for+GC%2C+silylation%2C+BSTFA/pm42874066-412-11-14
Average 93 stars, based on 9 article reviews
n o 29 bis - by Bioz Stars,
2026-11
93/100 stars
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other:Article Title: Metabolomics analysis reveals novel serum metabolite alterations in cancer cachexia Article Snippet: The second derivatization was performed by adding an equal volume of Article Title: Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia Article Snippet: The second derivatization was performed by adding an equal volume of Article Title: Veridentification and determination of 2,5-dimetoxy-4-bromophenethylamine (2C-B) in real sample by GC-MS methods and derivatization after SPE preparation Article Snippet: The Article Title: Elimination profiles of flurbiprofen and its metabolites in equine urine for doping analysis. Article Snippet: Flurbiprofen and its main acidic metabolites were detected in equine urine after a single-dose administration of 500 mg flurbiprofen to two 2.5–3.5-years-old mares, in order to be used in equine doping control routine analysis.. The urine levels of the parent drug were determined using GC/MS.. Five acidic metabolites were found in the urine. Article Title: Quantitative structure–retention relationship study of α-, β1-, and β2-agonists using multiple linear regression and partial least-squares procedures Article Snippet: A quantitative structure–retention relationship (QSRR) study has been performed for the correlation of the gas chromatographic-mass spectrometry (GC-MS) relative retention times (RRT) of -, 1-, and 2-agonists with their molecular characteristics in order to create models for the prediction of RRT values of unanalyzed molecules.. The data structure was investigated by principal component analysis (PCA).. Modeling of the RRT of -, 1-, and 2-agonists, as a function of many diverse descriptors, was established by means of the multiple linear regression (MLR) and partial least-squares projections to latent structures (PLS) methods. |