|
|
|
|
|
|
| Performance Evaluation of a Portable Breath Isoprene Analyzer Based on Cavity Ringdown Spectroscopy |
| LI Qing-yuan, LI Jing, WEI Xin, SUN Mei-xiu* |
| Laser Medicine Laboratory, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, China |
|
|
|
|
Abstract Breath isoprene is an endogenous metabolite whose concentration is related to human blood cholesterol level. However, numerous factors are influencing human breath. It is necessary to conduct effective breath analysis in selected specific populations (access large breath data with real-time, online, high sensitivity, high selectivity, and high accuracy). Cavity ringdown spectroscopy (CRDS) is a highly sensitive, highly stable, and highly selective spectral technique. In this paper, a breath isoprene analyzer based on CRDS was constructed considering the single-wavelength integrated semiconductor UV laser currently on the market. The breath isoprene analyzer mainly comprised of laser source, vacuum cavity, photodetector, and data acquisition. The fitting result showed good linearity indicating that the ringdown signal obtained by this analyzer was close to the single exponential decay (R2=0.998 39), and obeyed Lambert-Beer’s law. Effects of different average times on ringdown signal stability were evaluated. Considering the stability of the ringdown signal and the response time of the analyzer comprehensively, 128 times was used as the average time during the experiment. Subsequently, the performance of the breath isoprene analyzer was investigated. Ringdown times of 16 min under vacuum were measured continuously. The repeatability and response of the breath isoprene analyzer were examined. We measured the ringdown times of standard isoprene gas with different density of particle (10×10-9，30×10-9，50×10-9，100×10-9，200×10-9) to calculate the linearity of the analyzer. At last, the spectral interference (NO, N2O and acetone) at 224 nm was discussed. The experiment shows that: the ringdown breath analyzer has high sensitivity (limit of detection is 0.49×10-9), good repeatability, stability (0.48%), near real-time response (1 datum per second) and good linearity (R2=0.993 13). The improved LoD in this paper is about 1/1 000 of the current LoD. The portable breath isoprene analyzer based on CRDS could realize the effective analysis of isoprene in actual human breath.
|
|
Received: 2020-07-20
Accepted: 2020-11-15
|
|
|
|
Corresponding Authors:
SUN Mei-xiu
E-mail: meixiu_sun@126.com
|
|
[1] Phillips M, Herrera J, Krishnan S, et al. Journal of Chromatography B, 1999, 729(1-2): 75.
[2] Jansson B O, Larsson B T. The Journal of Laboratory and Clinical Medicine, 1969, 74(6): 961.
[3] Arendack B. Journal of Breath Research, 2008, 2(3): 037007.
[4] Karl T, Prazeller P, Mayr D, et al. Journal of Applied Physiology, 2001, 91(2): 762.
[5] Kinoyama M, Nitta H, Watanabe A, et al. Journal of Health Science, 2008, 54(4): 471.
[6] Ligor M, Ligor T, Bajtarevic A, et al. Clinical Chemistry and Laboratory Medicine, 2009, 47(5): 550.
[7] Perez-Guaita D, Kokoric V, Wilk A, et al. Journal of Breath Research, 2014, 8(2): 026003.
[8] Song H, Liu J, Lu H, et al. Nanotechnology, 2020, 31(16): 165503.
[9] Sahay P, Scherrer S T, Wang C. Sensors, 2013, 13(7): 8170.
[10] SONG Shao-man, YAN Chang-xiang(宋绍漫，颜昌翔). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(7): 2023.
[11] Sun M X, Jiang C Y, Gong Z Y, et al. Review of Scientific Instruments, 2015, 86(9): 095003. |
| [1] |
OUYANG Zhou-xuan, MA Ying-jie, LI Dou-dou, LIU Yi. The Research of Polarized Energy Dispersive X-Ray Fluorescence for Measurement Trace Cadmium by Geant4 Simulation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1064-1069. |
| [2] |
WANG Xin-qiang1, 3, HU Feng1, 3, XIONG Wei2, YE Song1, 3, LI Shu1, 3, GAN Yong-ying1, 3, YIN Shan1, 3, WANG Fang-yuan1, 3*. Research on Raman Signal Processing Method Based on Spatial Heterodyne[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 93-98. |
| [3] |
JIAO Qing-liang1, LIU Ming1*, YU Kun2, LIU Zi-long2, 3, KONG Ling-qin1, HUI Mei1, DONG Li-quan1, ZHAO Yue-jin1. Spectral Pre-Processing Based on Convolutional Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 292-297. |
| [4] |
HE Xiong-fei1, 2, HUANG Wei3, TANG Gang3, ZHANG Hao3*. Mechanism Investigation of Cement-Based Permeable Crystalline Waterproof Material Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3909-3914. |
| [5] |
ZHU Zhi-gao1, LIU Ya1*, YANG Jie1, HU Guo-qing2, 3. A Review of Single-Cavity Dual-Comb Laser and Its Application in Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3321-3330. |
| [6] |
ZHANG Zhi-qi1, ZHAO Tong1, LIU Ling1, LI Yan1,2*. Spectral Characteristics of Madagascar Agates[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3227-3232. |
| [7] |
WU Lu-yi, GAO Guang-zhen, LIU Xin, GAO Zhen-wei, ZHOU Xin, YU Xiong, CAI Ting-dong*. Study on the Calibration of Reflectivity of the Cavity Mirrors Used in Cavity Enhanced Absorption Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2945-2949. |
| [8] |
YU Lei, WANG Ya-mei*. The Spectral Characteristics of “Edison” Pearls and Nucleated Pearls With Dyeing Treatment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2626-2632. |
| [9] |
LU Wei1, CAI Miao-miao1, ZHANG Qiang2, LI Shan3. Fast Classification Method of Black Goji Berry (Lycium Ruthenicum Murr.) Based on Hyperspectral and Ensemble Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2196-2204. |
| [10] |
SHI Qi1, DING Long1, LONG Hong-ming1,2*, CHUN Tie-jun1. Study on Catalytic Combustion of Dioxins From Iron Ore Sintering Flue Gas Over Ce-V-Ti Catalysts by XRD and FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 327-332. |
| [11] |
LIU Xiao-hong1,2, DENG Hua1, CHANG Lin2, ZHANG Wei2, JIANG Shan2*. Recent Progress of SERS for Environmental Estrogen Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(10): 3038-3047. |
| [12] |
KONG De-ming1, 3, SONG le-le1, CUI Yao-yao2*, ZHANG Chun-xiang1, WANG Shu-tao1. Three-Dimensional Fluorescence Spectroscopy Coupled With Parallel Factor and Pattern Recognition Algorithm for Characterization and Classification of Petroleum Pollutants[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2798-2803. |
| [13] |
ZHOU Peng, LI Min-zan*, YANG Wei, JI Rong-hua, MENG Chao. Development of Vehicle-Mounted in-situ Soil Parameters Detector Based on NIR Diffuse Reflection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(09): 2856-2861. |
| [14] |
ZHANG Jiu-ming1, 2, LIU Yi-dan4, ZHANG Yi-wen4, CHI Feng-qin1, 2*, WEI Dan3*, ZHOU Bao-ku1, 2, SU Qing-rui1, 2, KUANG En-jun1, 2, HAO Xiao-yu1, 2, SUN Lei1, 2. Spectroscopic Characteristics of Hu in Black Soil under Different Long-Term Fertilization Treatments[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2194-2199. |
| [15] |
LIU Xiu-yu, ZHANG Bing, ZHANG Hao, DU Xiao-yan, TANG Gang*. Research of Flame Retardant Mechanism for RPUF/EG Composites Based on TG-FTIR and XPS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1626-1633. |
|
|
|
|
