Comparison of Real Time Nanoparticle Monitoring Instruments in the Workplaces

Abstract

BackgroundRelationships among portable scanning mobility particle sizer (P-SMPS), condensation particle counter (CPC), and surface area monitor (SAM), which are different metric measurement devices, were investigated, and two widely used research grade (RG)-SMPSs were compared to harmonize the measurement protocols.MethodsPearson correlation analysis was performed to compare the relation between P-SMPS, CPC, and SAM and two common RG-SMPS.ResultsFor laboratory and engineered nanoparticle (ENP) workplaces, correlation among devices showed good relationships. Correlation among devices was fair in unintended nanoparticle (UNP)-emitting workplaces. This is partly explained by the fact that shape of particles was not spherical, although calibration of sampling instruments was performed using spherical particles and the concentration was very high at the UNP workplaces to allow them to aggregate more easily. Chain-like particles were found by scanning electron microscope in UNP workplaces. The CPC or SAM could be used as an alternative instrument instead of SMPS at the ENP-handling workplaces. At the UNP workplaces, where concentration is high, real-time instruments should be used with caution. There are significant differences between the two SMPSs tested. TSI SMPS showed about 20% higher concentration than the Grimm SMPS in all workplaces.ConclusionsFor nanoparticle measurement, CPC and SAM might be useful to find source of emission at laboratory and ENP workplaces instead of P-SMPS in the first stage. An SMPS is required to measure with high accuracy. Caution is necessary when comparing data from different nanoparticle measurement devices and RG-SMPSs.

Assessment of two condensation particle counters (CPCs) in photometric mode for high concentration exhaust emission measurements

“…6 with a correction factor of 1.15 to bring the ratio to 100% at large sizes. The reason of this 15% correction was not investigated in detail, but is well within expected differences between SMPS and CPCs [44,45]. The same figure plots (dotted line) the expected ratio measuring polydisperse aerosol, based on the monodisperse counting efficiencies found in the literature for the specific CPC model [27].…”

A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

“…Today the UFP concentrations are not monitored routinely, and enhanced measurement is necessary as it would support the development of more powerful epidemiological studies [ 37 , 38 ].…”

Solid dust particles and the determination problem in bronchopulmonary pathology (review)

“…Данные литературы свидетельствуют о том, что аэрополлютанты в виде ТПЧ, в частности содержащие кремний, алюминий, свинец, кадмий, металлы платиновой группы и др., если они действуют на формирующийся организм с детства, способны нарушить не только развитие легких и дыхательной функции, но и оказать системный, в том числе опосредованный (через пищу и кишечную микробиоту) эффект на другие органы, вплоть до нарушения психомоторного развития и иммунитета [10,18,22,24,32,33]. Механизмы возможного влияния аэрополлютантов на аутоиммунитет могут быть разными: адъювантоподобное действие, индукция таких модификаций антигенов, к которым нетолерантны лимфоциты организма, гаптенный эффект и появление неоантигенов в результате действия активных кислород-и галогенсодержащих радикалов и иных медиаторов воспаления [34].…”

“…В Европе в настоящее время насчитывается от 480 до 600 автомобилей на тысячу человек [4][5][6]. Дорожно-транспортная инфраструктура крупных городов России соответствует уровню автомобилизации 60-100 автомобилей на 1000 жителей, при этом существует понятие критического уровня автомобилизации населения планеты, этот показа-тель равен 170-180 автомобилям на 1000 жителей [34,35]. Доля выбросов загрязнений в атмосферу от автомобильного транспорта по сравнению с выбросами промышленности превышает 94% [9][10][11]36].…”