석유 분석
- 빠르고 민감한 측정
- 초 단위의 매우 낮은 탐지 한계
- 정확한 식별을 위한 높은 질량 분해능
- Flexible reagent ion chemistry for targeted analysis of sulfur, oxygen, and nitrogen-containing compounds
배경
석유 분석
Many industrial processes require analytical instrumentation that can find trace contaminants in complex matrices. Of similar importance is the ability to analyze and compare specific groups of compounds, while avoiding matrix effects. Crude oil is an especially complex substance, containing thousands of species. Although the same types of compounds -alkanes, alkenes, aromatics, and cyclic alkenes- are usually dominant, the oil composition is highly variable depending on the source reservoir. Crude oil samples can include nitrogen, oxygen, and sulfur-containing VOCs [1]. Small amounts of these trace chemicals can dramatically affect the price per barrel [2].
Fast chemical ionization mass spectrometry can be used to simultaneously analyze hundreds of volatiles found in crude oil, with little to no sample preparation. Careful selection of a reagent ion such as ammonium (NH4+) can enable targeted analysis of select groups of compounds present at trace levels, while avoiding matrix effects.
[2] Qing, Wu. (2010, January). Processing high TAN crude. Digital Refining.
솔루션
Online Petroleum VOC Analysis Using the Vocus CI-TOF
- 서브-ppt 감지 한계로 최고 감도 제공
- 높은 질량 분해능으로 복잡한 혼합물 내에서 개별 화합물을 식별할 수 있습니다.
- VOC 농도의 빠른 변화를 포착하고 모바일 모니터링에 적합한 실시간 및 빠른 데이터 출력
- 전체 스펙트럼 수집을 통해 광범위한 화합물을 동시에 측정할 수 있습니다.
Chemically detailed headspace analysis of three different samples of oil (San Joaquin Valley Heavy, XTO, and Tufflo 1200) using a Vocus 2R PTR equipped with NH4+-mode reagent chemistry. High mass resolution allows the separation of different functional groups (described by Kendrick mass defect, y-axis) and chemical composition (marker color) over a wide mass range (x-axis). The marker size indicates the relative abundance of each individual species and is shown on a log scale over four orders of magnitude, demonstrating the wide dynamic range of the instrument. Each analysis required less than 30 seconds.
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