Department of Occupational Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Department of Microbiology, Faculty of Biological Sciences, Shahid Beheshti University, Tehran, Iran.
Environ Monit Assess. 2020 Jan 2;192(2):82. doi: 10.1007/s10661-019-8050-7.
Bacterial contamination occurs in different occupational exposures. Although the level of colony-forming units in airborne samples reveals bacterial exposure, the bacterial origin is not specified. We applied Fourier transform infrared spectroscopy to investigate bacterial species in airborne samples and validated bacterial evaluation in an occupational exposure. As a pilot study, airborn of nurses station (n=40) was assessed according to National Institute of Occupational Safety and Health 0800 method. Bacterial strain in all samples was evaluated by diagnosis gallery tests. Simultaneously, Fourier transform infrared spectroscopy of sampled bacteria was prepared and then classified by principal component analysis. Spectroscopy method was validated for Staphylococcus aureus quantification. For this aim, spectrum band area in different wavenumbers was evaluated for calibration curve plotting and extraction of validation parameters. The second derivatization of spectroscopy data in 1200 to 1500 cm presented the best determination for gram-type discrimination by principal component analysis modeling. Moreover 900-1200 cm region modeling finely differentiated gram-negative bacteria in airborne samples. Adding spectroscopy area band in 2850 and 2906 cm was validated to assess the level of Staphylococcus aureus contamination. Results showed appropriate correlation between the Staphylococcus aureus level in airborne samples analyzed by commercial counting evaluation and Fourier transform infrared spectroscopy method. Fourier transform infrared spectroscopy is a functional technique for assessment of airborne quality in occupational exposure. This analysis was recommended as an alternative method for quantitative and qualitative analysis of bio-aerosols.
细菌污染发生在不同的职业暴露中。虽然空气中样本的集落形成单位水平揭示了细菌暴露,但细菌的来源并未确定。我们应用傅里叶变换红外光谱法来研究空气中样本中的细菌种类,并验证职业暴露中的细菌评估。作为一项初步研究,根据美国国家职业安全与健康研究所(NIOSH)0800 方法,评估了护士站的空气样本(n=40)。所有样本中的细菌菌株均通过诊断图库测试进行评估。同时,准备了采样细菌的傅里叶变换红外光谱,并通过主成分分析进行分类。光谱法用于定量金黄色葡萄球菌。为此,评估了不同波数的光谱带宽面积以绘制校准曲线并提取验证参数。对光谱数据进行二阶导数处理,在 1200 到 1500 cm 处,通过主成分分析建模对革兰氏阳性菌的区分具有最佳的确定作用。此外,在空气中样本中,900-1200 cm 区域建模可以精细地区分革兰氏阴性菌。验证了添加 2850 和 2906 cm 处的光谱面积带宽,以评估金黄色葡萄球菌污染水平。结果表明,通过商用计数评估分析的空气中金黄色葡萄球菌水平与傅里叶变换红外光谱法之间存在适当的相关性。傅里叶变换红外光谱法是评估职业暴露中空气质量的功能技术。该分析被推荐为生物气溶胶定量和定性分析的替代方法。