Detection of VOCs in E. Coli Based on Gas Chromatography-Mass Spectrometry

Yao, Handong; Nie, Shuang; Du, Shuxin; Ni, Qianqian; Liu, Xun; Mo, Fengfeng

doi:10.1007/978-981-19-4786-5_42

Cited by 1 publication

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the moment, the method for probing the concentration of benzene in the atmosphere is mainly divided into gas chromatography and electrical-mass spectrometry [5,6]. For example, Yao et al used gas chromatography-mass spectrometry to detect VOCs in E. coli in 2022 [7]; Majchrzak Tomasz et al used PTR-MS and gas chromatography in 2022 to understand the early release of VOCs in canola oil during tuber frying through targeted and omics inspired methods [8]. Both of which have high sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Simulation of power-modulation mid-infrared integrated-path differential absorption lidar for probing benzene concentration

Liu

Duan

et al. 2023

First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)

View full text Add to dashboard Cite

Aiming at the detection of benzene concentration in the atmosphere, a power-modulation scheme with laser wavenumber tuning is proposed in mid-infrared integrated-path differential absorption (IPDA) lidar. Based on the differential absorption lidar (DIAL) theory, we design the configuration of power-modulation IPDA lidar. Its central measurement and reference wavenumber are selected as 3090.3cm -1 and 3137.7cm -1 , and the power-modulation scheme of IPDA lidar is proposed through interband cascade laser (ICL) current-driving characteristic. The simulation model of power-modulation mid-infrared IPDA lidar is constructed, and then its theoretical analysis is carried out. Furthermore, the retrieval algorithm for benzene concentration is presented, and then the concentration precision as 1/f noise with different frequencies is analyzed with FFT retrievals of 1000. The detection performance of lidar such as signal-to-noise ratio (SNR) and relative error for path length and visibility is compared between direct current (DC) driving and altering current (AC) driving, i.e. power-modulation scheme. The results show that the uncertainty of concentration is consistent with the effect of 1/f noise, that the SNR increases with the increase of visibility or the decrease of path length and the relative error decreases with the increase of visibility or the decrease of path length, and that the SNR will increase with the increase in frequency, and the relative error will decrease under the same path length and visibility. Therefore, the power-modulation mid-infrared IPDA lidar can be more effective for probing benzene concentration.

show abstract