Eliminating systematic errors in the determination of carbon and sulfur analyzer

According to the source of system error in the determination of carbon and sulfur analyzer, some corresponding measures are taken, so that the system error can be nearly eliminated The commonly used methods are: 1 Control test, which is an effective method to test the system error That is to say, the standard real object with accurate content of books and the tested sample shall be operated according to the same analysis method for comparison If the composition of the sample is not completely clear, the "add recovery method" can be used for the test, that is, add the tested component of the book amount to the sample, and then carry out the control test to determine whether there is systematic error in the analysis method according to the recovery of the added amount 2 Calibration of measuring instruments, analytical instruments or measuring instruments have been calibrated before leaving the factory and generally meet the analysis requirements However, in order to ensure the accuracy of the measurement, it must be verified before use In use, it should be rechecked periodically according to the regulations to find the correction value to reduce the error; 3 In blank test, the system error of millions of impurities introduced by reagents, utensils and environment can be reduced or eliminated by blank test That is to say, when the sample is added, the blank value will be deducted from the sample analysis result according to the selected analysis method under the same conditions and the same reagent; 4 Method correction, the systematic error of some analysis methods can be corrected by chemical analysis method For example, for the determination of copper by electrolysis, in the analysis, the residual trace copper in the mother liquor can be used for the measurement by atomic absorption spectrometry 5 Improve the analysis method There are many factors affecting the accuracy of the analysis result of carbon sulfur analyzer Generally speaking, the analysis method itself has a great influence Therefore, if we can not meet the analysis requirements after taking some improper measures, we should choose another more effective analysis method or improve the analysis method.