Hyperspectral analysis for standoff detection of dimethyl methylphosphonate on building materials

被引:4
作者
Baseley, Daniel [1 ]
Wunderlich, Luke [2 ]
Phillips, Grady [3 ]
Gross, Kevin [3 ]
Perram, Glen [3 ]
Willison, Stuart [4 ]
Phillips, Rebecca [4 ]
Magnuson, Matthew [4 ]
Lee, Sang Don [4 ]
Harper, Willie F., Jr. [1 ]
机构
[1] US Air Force, Inst Technol, Dept Syst Engn & Management, 2950 Hobson Way, Wright Patterson AFB, OH 45433 USA
[2] Wright State Univ, Dept Biomed Engn, Dayton, OH 45435 USA
[3] US Air Force, Inst Technol, Dept Engn Phys, 2950 Hobson Way, Wright Patterson AFB, OH 45433 USA
[4] US EPA, Natl Homeland Secur Res Ctr, 26 W Martin Luther King Dr,Mailstop NG-16, Cincinnati, OH 45268 USA
关键词
Hyperspectral imaging; Organophosphate; Contrast angle; Surface analysis; Decontamination; PESTICIDES; SPECTRA; CONTAMINATION; EXPOSURES; HEALTH; CANCER; RISK; AIR;
D O I
10.1016/j.buildenv.2016.08.028
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Detecting organophosphates in indoor settings can greatly benefit from more efficient and faster methods of surveying large surface areas than conventional approaches, which sample small surface areas followed by extraction and analysis. This study examined a standoff detection technique utilizing hyperspectral imaging for analysis of building materials in near-real time. In this proof-of-concept study, dimethyl methylphosphonate (DMMP) was applied to stainless steel and laminate coupons and spectra were collected during active illumination. Absorbance bands at approximately 1275 cm(-1) and 1050 cm(-1) were associated with phosphorus-oxygen double bond (P=O) and phosphorus-oxygen-carbon (P-O-C) bond stretches of DMMP, respectively. The magnitude of these bands increased linearly (r(2) = 0.93) with DMMP across the full absorbance spectrum, between v(1) = 877 cm(-1) to v(2) = 1262 cm(-1). Comparisons between bare and contaminated surfaces on stainless steel using the spectral contrast angle technique indicated that the bare samples showed no sign of contamination, with large uniformly distributed contrast angles of 45 degrees-55 degrees, while the contaminated samples had smaller spectral contact angles of <20 degrees in the contaminated region and >40 degrees in the uncontaminated region. The laminate contaminated region exhibited contact angles of <25 degrees. To the best of our knowledge, this is the first report to demonstrate that hyperspectral imaging can be used to detect DMMP on building materials, with detection levels similar to concentrations expected for some organophosphate deposition scenarios. Published by Elsevier Ltd.
引用
收藏
页码:135 / 142
页数:8
相关论文
共 50 条
[41]   GPU Implementation of an Automatic Target Detection and Classification Algorithm for Hyperspectral Image Analysis [J].
Bernabe, Sergio ;
Lopez, Sebastian ;
Plaza, Antonio ;
Sarmiento, Roberto .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (02) :221-225
[42]   Correlation analysis of hyperspectral imagery for multispectral wavelength selection for detection of defects on apples [J].
Lee K. ;
Kang S. ;
Delwiche S.R. ;
Kim M.S. ;
Noh S. .
Sensing and Instrumentation for Food Quality and Safety, 2008, 2 (02) :90-96
[43]   Mahalanobis masking: a method for the sensitivity analysis of anomaly detection algorithms for hyperspectral imagery [J].
Messer, Adam J. ;
Bauer, Kenneth W., Jr. .
JOURNAL OF APPLIED REMOTE SENSING, 2018, 12 (02)
[44]   Deep Learning Analysis of In Vivo Hyperspectral Images for Automated Intraoperative Nerve Detection [J].
Barberio, Manuel ;
Collins, Toby ;
Bencteux, Valentin ;
Nkusi, Richard ;
Felli, Eric ;
Viola, Massimo Giuseppe ;
Marescaux, Jacques ;
Hostettler, Alexandre ;
Diana, Michele .
DIAGNOSTICS, 2021, 11 (08)
[45]   Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis [J].
Zhang, Zishen ;
Cheng, Hong ;
Chen, Meiyu ;
Zhang, Lixin ;
Cheng, Yudou ;
Geng, Wenjuan ;
Guan, Junfeng .
FOODS, 2024, 13 (23)
[46]   Detection of foreign materials on Semen Ziziphi Spinosae using hyperspectral imaging technology coupled with convolutional neural networks [J].
Li, Xiong ;
Xiong, Xinlin ;
Liu, Liangfeng ;
Yang, Bojin ;
Liu, Xiaoyan ;
Liu, Yande .
MICROCHEMICAL JOURNAL, 2024, 207
[47]   Detection of fresh-cut produce processing residues on food contact surface materials using hyperspectral imaging [J].
Michael S. Wiederoder ;
Alan M. Lefcourt ;
Moon S. Kim ;
Y. Martin Lo .
Journal of Food Measurement & Characterization, 2012, 6 (1-4) :48-55
[48]   Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing [J].
Guo, Qingle ;
Zhang, Junping ;
Zhong, Chongxiao ;
Zhang, Ye .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 :4417-4426
[49]   GPU Implementation of Target and Anomaly Detection Algorithms for Remotely Sensed Hyperspectral Image Analysis [J].
Paz, Abel ;
Plaza, Antonio .
SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING VI, 2010, 7810
[50]   Analysis of reflectance spectra from hyperspectral images of poultry carcasses for fecal and ingesta detection [J].
Windham, WR ;
Lawrence, KC ;
Park, B ;
Smith, DP ;
Poole, G .
IMAGING SPECTROMETRY VIII, 2002, 4816 :317-324