Shirou Feng, Hongyi Liu, Cong Zhou, Xiyue Xiong, Yingzhuang Chen, Ming Ma, Bo Chen
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引用次数: 0
Abstract
The charged aerosol detector (CAD) is widely used for detecting nonvolatile compounds without UV absorption due to its high sensitivity, stability, and consistent response. However, the traditional plasma collision charging mode (PCCM) suffers from issues such as sample dilution, gas flow back-mixing, and disturbances, which reduce sensitivity and repeatability. To address these limitations, this study introduces the direct corona charging mode (DCCM), which eliminates the charging gas route by using a high-voltage corona needle to directly charge the dried aerosol. This approach avoids mixing collisions, simplifies the instrument structure, and reduces nitrogen consumption. Comparative analyses using samples like caffeine demonstrated that DCCM significantly improves sensitivity and stability over PCCM. The response under DCCM fits a quadratic curve with a correlation coefficient above 0.99 across 3 orders of magnitude. Direct injection of 22 analytes showed that DCCM achieved a peak area relative standard deviation below 10%, with better response consistency than PCCM. Gradient analysis of complex samples further confirmed DCCM’s superior repeatability and sensitivity. Real-sample analysis highlighted DCCM-CAD’s practical potential. In summary, DCCM enhances CAD performance, reduces costs, and simplifies design, paving the way for more efficient and reliable commercial CAD systems.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.