39results about How to "Mild detection conditions" patented technology

The present application relates to a kind of methods for detecting meloxicam and its isomers by high performance liquid chromatography, which uses high performance liquid chromatography for detection, and the chromatographic column uses covalent bond and cellulose-tris (3, 5-dichlorophenyl carbamate) as filler;With n-hexane-ethanol-trifluoroacetic acid-triethylamine as mobile phase;Isocratic elution;Column temperature is 20~30 ℃;Flow rate is 0.8~1.1ml / min;Detection wavelength is 215nm.The high performance liquid chromatography detection method of meloxicam and its isomers provided by the present application can realize the complete separation of meloxicam main component and its three isomer impurities, and this method has strong specificity, high sensitivity and good durability, and can be used for the quality control of meloxicam bulk drug.

The invention relates to the technical field of biochemical sensing, in particular to an aminoglycoside antibiotic dual-mode visual detection card and a preparation method and application thereof, and the detection card is composed of two parts: an aminoglycoside antibiotic dual-mode labeling reagent and qualitative filter paper. The dual-mode labeling reagent is formed by self-assembling ninhydrin and lanthanide metal ions, and is used for providing a color development / ratio fluorescence dual-mode detection signal; the qualitative filter paper is used for efficient adsorption and enrichment of aminoglycoside antibiotics, and can significantly enhance color development and fluorescence signals. The detection card provided by the invention can realize double-mode (color development and fluorescence) visual detection and identification of aminoglycoside antibiotics only by using one labeling reagent, and is good in response selectivity, high in sensitivity, strong in anti-interference capability, mild in condition and easy to popularize. The detection accuracy and reliability can be remarkably improved through cross validation of double-signal-channel visual detection results.