An assessment of occupational exposure to inhalable aerosols and airborne proteins in food manufacturing plants.

IF 1.5 4区 医学 Q4 ENVIRONMENTAL SCIENCES
Christine Darbakk, Pål Graff, Raymond Olsen
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引用次数: 0

Abstract

As the range of allergens continues to expand and the food industry evolves, there is a growing need for more efficient, affordable, and comprehensive methods to monitor protein exposures. This study aimed to assess the concentrations of inhalable aerosols and soluble proteins (SP) in food manufacturing environments. Additionally, the study sought to optimize the extraction methods for determining SP across diverse food matrices. One hundred forty-six participants from 12 different dry food production facilities were included in the study. The mass of inhalable aerosols was determined using gravimetric analysis, and the concentration of SP was determined using a bicinchoninic acid (BCA) protein assay kit. A mixed-effects Tobit regression model was employed to assess the relationship between aerosol and SP concentrations across different production environments and work tasks. The optimized SP extraction method proved effective across a wide range of powder food matrices, although variability in relative extraction efficiency across matrices highlighted the importance of using multiple extraction rounds for accurate protein quantification. Significant differences in SP concentrations were found across production environments. Confectionery and chocolate production (p < 0.001) and snacks, nuts, and chips production (p = 0.007) were associated with significantly lower SP concentrations compared to bakery production. Tasks such as grinding and milling (p = 0.037) and weighing and mixing (p = 0.019) showed significantly higher SP concentrations. The positive association between inhalable aerosol and SP concentrations suggests that higher aerosol concentrations generally correspond to higher protein exposure, but the strength of this relationship varied across productions and tasks. This study demonstrates the feasibility and potential value of measuring SP concentrations as an addition to aerosol measurements in food manufacturing environments. Given the health risks associated with inhaled proteins, particularly in provoking allergic reactions and respiratory problems, measuring total SP concentrations may serve as a more reliable indicator of occupational exposures, especially during tasks and in production types where the relationship between inhalable aerosols and proteins is weak.

食品制造厂职业性暴露于可吸入气溶胶和空气传播蛋白质的评估。
随着过敏原的范围不断扩大和食品工业的发展,人们越来越需要更有效、更经济、更全面的方法来监测蛋白质暴露。本研究旨在评估食品生产环境中可吸入气溶胶和可溶性蛋白(SP)的浓度。此外,本研究试图优化不同食物基质中SP的提取方法。来自12个不同干粮生产工厂的146名参与者参与了这项研究。采用重量分析法测定可吸入气雾剂的质量,采用比辛胆酸(BCA)蛋白测定试剂盒测定SP浓度。采用混合效应Tobit回归模型评估了不同生产环境和工作任务中气溶胶和SP浓度之间的关系。优化后的SP提取方法被证明在各种粉末食品基质中都是有效的,尽管不同基质相对提取效率的差异突出了使用多个提取轮来准确定量蛋白质的重要性。不同生产环境的SP浓度存在显著差异。与烘焙产品相比,糖果和巧克力产品的SP浓度显著降低(p p = 0.007)。研磨和碾磨(p = 0.037)和称重和混合(p = 0.019)等任务显示显著较高的SP浓度。可吸入气溶胶和SP浓度之间的正相关表明,较高的气溶胶浓度通常对应较高的蛋白质暴露,但这种关系的强度因生产和任务而异。本研究证明了SP浓度测量作为食品生产环境中气溶胶测量的补充的可行性和潜在价值。考虑到与吸入的蛋白质有关的健康风险,特别是在引发过敏反应和呼吸问题方面,测量SP总浓度可作为职业接触的更可靠指标,特别是在任务期间和可吸入气溶胶与蛋白质之间关系较弱的生产类型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Occupational and Environmental Hygiene
Journal of Occupational and Environmental Hygiene 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
3.30
自引率
10.00%
发文量
81
审稿时长
12-24 weeks
期刊介绍: The Journal of Occupational and Environmental Hygiene ( JOEH ) is a joint publication of the American Industrial Hygiene Association (AIHA®) and ACGIH®. The JOEH is a peer-reviewed journal devoted to enhancing the knowledge and practice of occupational and environmental hygiene and safety by widely disseminating research articles and applied studies of the highest quality. The JOEH provides a written medium for the communication of ideas, methods, processes, and research in core and emerging areas of occupational and environmental hygiene. Core domains include, but are not limited to: exposure assessment, control strategies, ergonomics, and risk analysis. Emerging domains include, but are not limited to: sensor technology, emergency preparedness and response, changing workforce, and management and analysis of "big" data.
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