[1]何庆华,祁海峰,钟孝政,等.FAIMS在爆炸伤伤口样本检测中的初步实验研究[J].中国医学物理学杂志,2020,37(9):1188-1192.[doi:10.3969/j.issn.1005-202X.2020.09.020]
　HE Qinghua,QI Haifeng,ZHONG Xiaozheng,et al.Preliminary experimental study of FAIMS in the detection of explosive wound samples[J].Chinese Journal of Medical Physics,2020,37(9):1188-1192.[doi:10.3969/j.issn.1005-202X.2020.09.020]
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FAIMS在爆炸伤伤口样本检测中的初步实验研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第9期
页码:
1188-1192
栏目:
医学人工智能
出版日期:
2020-09-25

文章信息/Info

Title:
Preliminary experimental study of FAIMS in the detection of explosive wound samples
文章编号:
1005-202X（2020）09-1188-05
作者:
何庆华; 祁海峰; 钟孝政; 曾琳; 陆彦邑; 黎敏; 郭庆山
陆军军医大学大坪医院创伤烧伤复合伤国家重点实验室，重庆400042
Author(s):
HE Qinghua;  QI Haifeng;  ZHONG Xiaozheng;  ZENG Lin;  LU Yanyi;  LI Min;  GUO Qingshan
State Key Laboratory of Trauma, Burns and Combined Injury, Daping Hospital, Army Medical University, Chongqing 400042, China
关键词:
爆炸伤; 高场不对称波形离子迁移谱; 细菌检测
Keywords:
explosive wound high-field asymmetric waveform ion mobility spectrometry bacterial detection
分类号:
R318.6
DOI:
10.3969/j.issn.1005-202X.2020.09.020
文献标志码:
A
摘要:
目的：探索高场不对称离子迁移谱（FAIMS）用于伤口样本检测的可行性。方法：收集3 位爆炸伤病人5 个伤口样 本（坏死肌肉、死皮或者脓液）。每次获得2个样本，一个样本送检验科进行细菌检测；对另一个样本进行FAIMS的气味分 析，获取伤口样本的气味检测的正模式和负模式FAIMS数据。结果：检验科细菌检测结果显示5个样本中，1例是蜡样芽 孢杆菌，1 例是少见嗜铜菌，1 例是肺炎克雷伯杆菌和阴沟肠杆菌，另2 例是无细菌生长。有细菌感染的样本的FAIMS检 测的正模式和负模式图谱出现了一些特征峰，且不同细菌感染样本的FAIMS特征峰的形状与位置不同。无细菌生长样 本的FAIMS则无特征峰出现。结论：FAIMS能在一定程度反映伤口样本的感染情况，且不同的细菌感染样本的FAIMS 有所不同，提示FAIMS可用于区分伤口感染的类型。FAIMS是潜在的快速检测伤口感染的技术，值得进一步的实验研 究。
Abstract:
Objective To explore the feasibility of high-field asymmetric waveform ion mobility spectrometry (FAIMS) for the detection of wound samples. Methods Five wound samples (necrotic muscle, dead skin or pus) were collected from 3 patients with explosive wound. Two samples were got each time. One sample was sent to the laboratory for bacterial test, and the other was detected by FAIMS for the odor analysis of wound samples, thereby obtaining positive-mode and negative-mode FAIMS data. Results The laboratory results of the 5 samples showed that there was 1 case of Bacillus cereus, 1 case of Cupriavidus paucula, 1 case of Klebsiella pneumoniae and Enterobacter cloacae, and 2 cases of no bacterial growth. Some characteristic peaks were found in the positive-mode and negative-mode FAIMS for the detection of samples with bacterial infection. Moreover, the shapes and positions of the FAIMS characteristic peaks of the samples infected by different bacteria were different. No characteristic peaks appeared in the FAIMS of the bacteria-free samples. Conclusion FAIMS can reflect the infection of the wound samples to a certain extent, and the FAIMS profiles of the samples infected by different bacteria were different, suggesting that FAIMS can be used to distinguish the type of wound infection. FAIMS is a potential technique for the rapid detection of wound infections and is worthy of further experimental research.

相似文献/References:

[1]陆彦邑,毕玉田,尹军,等. 基于高场不对称波形离子迁移谱技术的细菌培养液检测[J].中国医学物理学杂志,2017,34(3):297.[doi:10.3969/j.issn.1005-202X.2017.03.016]
　[J].Chinese Journal of Medical Physics,2017,34(9):297.[doi:10.3969/j.issn.1005-202X.2017.03.016]
[2]陆彦邑,尹军,毕玉田,等. 常见伤口感染细菌高场不对称波形离子迁移谱识别算法[J].中国医学物理学杂志,2018,35(2):205.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.017]
　LU Yanyi,YIN Jun,BI Yutian,et al. Algorithmic identification for high-field asymmetric ion mobility spectra of common wound-infecting bacteria[J].Chinese Journal of Medical Physics,2018,35(9):205.[doi:DOI:10.3969/j.issn.1005-202X.2018.02.017]

备注/Memo

备注/Memo:
【收稿日期】2020-03-16 【基金项目】国家国际科技合作专项（2014DFA31560）；重庆市科技研 发基地建设计划（国际科技合作）（cstc2013gjhz10003） 【作者简介】何庆华，博士，副研究员，研究方向：生物医学信号处理， E-mail: qinghuahe@126.com 【通信作者】郭庆山，博士，副主任医师，副教授，研究方向：创伤外科， E-mail: dr.guoqingshan@163.com
更新日期/Last Update: 2020-09-25