Wound-State Monitoring for Burn Patients Using E-Nose/SPME System

被引:49
作者
Byun, Hyung-Gi [1 ]
Persaud, Krishna C. [2 ]
Pisanelli, Anna Maria [2 ]
机构
[1] Kangwon Natl Univ, Sch Elect Informat & Commun Engn, Samcheok, South Korea
[2] Univ Manchester, Sch Chem Engn & Analyt Sci, Manchester, Lancs, England
关键词
ELECTRONIC NOSE; STAPHYLOCOCCUS-AUREUS; IDENTIFICATION; INFECTIONS;
D O I
10.4218/etrij.10.0109.0300
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Array-based gas sensors now offer the potential of a robust analytical approach to odor measurement for medical use. We are developing a fast reliable method for detection of microbial infection by monitoring the headspace from the infected wound. In this paper, we present initial results obtained from wound-state monitoring for burn patients using an electronic nose incorporating an automated solid-phase microextraction (SPME) desorption system to enable the system to be used for clinical validation. SPME preconcentration is used for sampling of the headspace air and the response of the sensor module to variable concentrations of volatiles emitted from SPME fiber is evaluated. Gas chromatography-mass spectrometry studies prove that living bacteria, the typical infectious agents in clinical practice, can be distinguished from each other by means of a limited set of key volatile products. Principal component analysis results give the first indication that infected patients may be distinguished from uninfected patients. Microbial laboratory analysis using clinical samples verifies the performance of the system.
引用
收藏
页码:440 / 446
页数:7
相关论文
共 50 条
  • [41] Discrimination of Storage Time for Pork Using Metal Oxide Semiconductor (MOS)-Type E-Nose
    Wang, Jun
    Hong, Xuezhen
    Wang, Yongwei
    Zhou, Bo
    SENSORS AND MATERIALS, 2013, 25 (04) : 257 - 268
  • [42] Comparison of volatile compounds in Chrysanthemum nankingense during storage based on HS-SPME-GC-MS and E-nose
    Wu, Yuzhen
    Yu, Haitao
    Yu, Xiaoyu
    Zhu, Lijuan
    Yu, Zhifang
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2023, 17 (03) : 3134 - 3148
  • [43] Application of the E-nose machine system to detect adulterations in mixed edible oils using chemometrics methods
    Karami, Hamed
    Rasekh, Mansour
    Mirzaee-Ghaleh, Esmaeil
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2020, 44 (09)
  • [44] Freshness Classification of Horse Mackerels with E-Nose System Using Hybrid Binary Decision Tree Structure
    Guney, Selda
    Atasoy, Ayten
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 34 (03)
  • [45] Least Squares Neural Network-Based Wireless E-Nose System Using an SnO2 Sensor Array
    Shahid, Areej
    Choi, Jong-Hyeok
    Rana, Abu ul Hassan Sarwar
    Kim, Hyun-Seok
    SENSORS, 2018, 18 (05)
  • [46] Development of an E-nose system using machine learning methods to predict ventilator-associated pneumonia
    Liao, Yu-Hsuan
    Shih, Chung-Hung
    Abbod, Maysam F.
    Shieh, Jiann-Shing
    Hsiao, Yu-Jen
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2022, 28 (01): : 341 - 351
  • [47] Monitoring of Microbial Canned Food Spoilage and Contamination Based on E-Nose for Smart Home
    Chongthanaphisut, Phunvira
    Seesaard, Thara
    Kerdcharoen, Teerakiat
    2015 12TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY (ECTI-CON), 2015,
  • [48] Signal Processing for Multi-sensor E-nose System: Acquisition and Classification
    Rahman, Md. Mizanur
    Charoenlarpnopparut, Chalie
    Suksompong, Prapun
    2015 10TH INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING (ICICS), 2015,
  • [49] Analysis of Floral Scent and Volatile Profiles of Different Aster Species by E-nose and HS-SPME-GC-MS
    Song, Seung-Yeop
    Ahn, Myung-Suk
    Mekapogu, Manjulatha
    Jung, Jae-A
    Song, Hyun-Young
    Lim, So-Hyeon
    Jin, Jong-Sik
    Kwon, Oh-Keun
    METABOLITES, 2023, 13 (04)
  • [50] Robusta honey coffee drying techniques and identification of changes in the bioactives and volatiles based on SPME-GCMS and E-Nose
    Aswathi, K. N.
    Shetiya, Hiral
    Premachandaran, M. Shikku
    Swasthika, P. Y.
    Yannam, Sudheer Kumar
    Murthy, Pushpa S.
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2024, 18 (09) : 7550 - 7567