Detection method for rapid pretreatment of dioxin sample
A detection method and sample technology, which is applied in the field of dioxin detection, can solve the problems of greater impact on the detection limit of products, waste of collected samples, and impact on accuracy, and achieve the effects of reducing complexity, easy operation, and improving accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0071] Detection method for fast pre-processing of dioxin samples, including the following steps:
[0072] S01: Preparation of the sample: dry the sample, grind, 60 mesh sieve, spare;
[0073] S02: Extraction of the sample: Extract the sample obtained by the S01 step, and subtract the sample to extract the sample after extraction;
[0074] S03: Purification of samples: Purification of the purification sample obtained by S02 steps, in turn, including: set the purified column, install the purifying column, add the purified column filler, elution, and evaporation, to obtain the analysis sample;
[0075] S04: Test of the sample: Analysis of the analysis sample obtained by the S03 step by high distracting gas chromatography - high distortion mass spectrometry.
[0076] The detection sample is a soil sample.
[0077] The detection conditions of the high resolution gas chromatography-high resolution mass spectrometry are as follows:
[0078] Inlet temperature: 270 ° C; carrier gas flow: ...
Embodiment 2
[0103] A method of detecting a fast forward treatment of dioxin samples, and the purification step 2 of the integrated purification column is different from the first embodiment, and the acid silica gel is added to 4 g.
Embodiment 3
[0105] A method of detecting a fast pre-treatment of dioxin samples, and in the first embodiment, the acid silica gel is added 20 g in the step 2 of the integrated purification column, and the extraction of the integrated purification column is different from the first embodiment.
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


