Airborne particle counting: Why data isn’t always accurate

 

BY DR TIM SANDLE | PHARMACEUTICAL MICROBIOLOGY AND CONTAMINATION CONTROL EXPERT

11th June

 

Airborne particle counters are used to monitor signs of cleanroom air contamination. This data is to make critical process decisions. To count particles utilising a conventional particle counter, laser light is used to reflect light from the particles as they pass through the laser beam. Airborne particle counters use laser diode technology to count particles by collecting scattered light inside the sensor of the particle counter. 


Particle counters occasionally mis-record data, under or over-estimate readings, or skipping information. This is due to factors like high particle concentrations, coincidence loss, or instrument limitations. These issues can lead to underreporting of particle counts, especially for larger particles. 

Factors such as calibration issues, poor placement, or malfunctioning components can also contribute to data inaccuracies. This article reviews the various reasons why particle counter data might not be accurate due to overreporting, underreporting or simply because it is not representative of what was hoped to be monitored. 

 

 

High particle concentrations


Underreporting 
If the number of particles passing through the particle counter's sensing volume exceeds the instrument's capacity to accurately detect and process individual particles, it can lead to skipped data or underreporting. 

 


Poorly designed particle counters


Overreporting

Particle counters have an exhaust mechanism. As a counter expels air, friction can be created which can potentially increase the particle burden within the cleanroom via an increase in the concentration of inert particles. To overcome this, counters either need to exhaust their emissions into a lower-grade area or, ideally, be equipped with a HEPA filter. This is especially important when using counters in Grade A environments. 

 

 

Isokinetic probes

 

  • No isokinetic probe - underreporting
  • Isokinetic probe at the wrong angle or not near working zone - underreporting
  • Incorrect isokinetic probe used - overreporting

 

Isokinetic probes ensure the uniform sampling of particles in motion within the air as the velocity at the tip of the probe is equal to the inlet velocity. For unidirectional airflow, isokinetic probes must be orientated in the direction of the airflow. For other cleanrooms (turbulent flow), the isokinetic probe must be orientated upwards. Sampling without an isokinetic probe is not permitted, since this leads to the loss of particles of ≥5.0 µm in particular. Without an isokinetic probe, not all the larger and heavier ≥5.0 µm particles will be entrained in the airflow, since they are more influenced by gravity 1.

 

 

Probe location and orientation

 

Isokinetic probes should be situated at working height and within 30 centimetres of the critical area. For general cleanrooms, where there is no specific working height, counters should be placed around 1 metre from the floor (this avoids detecting particles too close to the floor that will be swept up as operators walk and avoid sampling too close to the HEPA filter). Probes should be pointed in a direction such that the probability of detecting particles is maximised.

 

 

Incorrect probe

 

As isokinetic probes are of different designs for different types of particle counters (based on the flow rate of the counter), errors can occur when the wrong one is used. The main danger is with artificially high particle counts, such as when the inlet velocity is less than the calculated probe velocity. In this situation, the sample results will be biased high (i.e., oversampled) due to inertia. 

 

Particle inertia is the main mechanism involved in sampling errors when there are non-isokinetic conditions. These deviations can be as high as 50% for particles above 10 µm in size (decreasing as particles become smaller).2

 

 

Placing a probe close to a HEPA filter

 

Underreporting

Unless scanning a HEPA filter for leakage, particle counter probes must not be placed directly under a HEPA filter. Probes should be directed towards the area surrounding the product and not towards clean air flowing directly out of the HEPA filter.

 

 

Tubing

 

Underreporting

Where tubing is required (from the isokinetic probe to the particle counter), it should be no longer than 1 metre, have no more than three bends, with any bends having a radius of 15 centimetres or greater 3. This is necessary to safeguard against particle loss (especially where larger particles adhere to the inside of the tubing). These factors are not ‘targets’ - it is preferable that transport tubing length should be kept as short as possible with as few bends as possible 4.

 

The greatest impact is on ≥5.0 µm particles due to the ‘relaxation time’. This is defined as the time for a particle (initially in equilibrium with a moving fluid) to match a change in fluid velocity. Large particles have a long relaxation time. Therefore, when an air stream moves through tubing that contains small-radius bends or elbows, the large particles will deposit on a tube wall because they cannot easily adapt to sudden velocity changes, continuing in their original direction until they impact on the tube wall 5.

 

The diameter of the tubing and the tubing material can also play a role (the material should be static neutral e.g. Bev-a-Line (Hytrel)* or stainless steel). These collectively result in ‘tubing loss’.

 

*This type of tubing is not suitable for long-term use areas where vapour hydrogen peroxide is used unless it is subject to regular replacement (see below).

 

Tubing loss is caused by: 

 

1. The impaction of particles onto the walls of the transport tubing

2. Sedimentation or gravity

 

Potentially, particle counters with faster flow rates have lower particle loss (however, calculating intra-tubular turbulence is not straightforward) 6.

 

 

Tubing replacement

 

Over time, the sample tubing will need to be replaced due to macroparticle build-up from impaction and sedimentation forces that result in particle losses.

 

Overreporting

While the above factors are typically associated with underreporting, it should be noted that particle loss will eventually result in a sudden release of particles and unusually high ≥5.0 µm particles, that have nothing to do with the actual conditions inside the clean area, can be erroneously reported.

 

 

Flow rate

 

Underreporting

To take a sufficiently large sample size, particle counters must sample at least 28.3 litres per minute (equivalent to one cubic foot per minute).

 

 

Coincidence loss

 

Underreporting

Coincidence loss occurs when two or more particles pass through the sensing volume simultaneously, making it difficult for the counter to distinguish them as individual events. 

 

 

False counts

 

Overreporting

Particle counters are prone to occasionally recording false counts. This is a product of the use of lasers to measure particles. A small number of counts are likely to be the result of electrical noise. Solar flares and other cosmic events can result in spikes of electromagnetic radiation. A radiation spike can strike the particle counter’s photodetector - this will register as the energy that is indiscernible from the light scatter. 

 

False counts rarely occur consecutively, but they can sometimes account for one or two ≥5.0 µm counts within a cubic metre of air where these are not linked to any event. This may be especially notable under Grade A.

 

A low signal-to-noise ratio (S/N) can also produce resolution degradation by allowing artefacts (noise pulses) to be counted as particles. This will be noticeable when the counter is calibrated, and the as-found state can be compared to the adjusted state 7.

 

 

Counting Efficiency

 

Underreporting

Particle counters may have limitations in accurately counting smaller particles (e.g., those less than 0.3 μm), potentially leading to skipped data or underreporting for these sizes.

 

The process of designing optical particle counters is a trade-off between reducing noise generated by the system and increasing the signal coming from the particles. The sources of noise can be the light source itself, the optics used to shape the light, window surfaces/capillary walls, the molecules of the sample fluid, or the electronic circuits used to collect and process the scattered light. Particle counters with detection limits greater than 100 nm can illuminate the sample cell walls while maintaining acceptable signal-to-noise ratios. The ability to illuminate the entire sample cell with the uniform portion of the light source (typically a laser) makes these instruments volumetric and provides a well-defined sample volume for the particles of interest.

 

 

Purging

 

Overreporting

Counters need to be purged before use. Before sampling, a False Count Test should be conducted. This will verify the absence of internal contamination of the particle counter and ensures that no electronic noise problems exist that would produce false-high counts. 

 

For this test to be satisfactory, for each one-minute sample of the purge, the counts obtained should be no more than 10% of the counts typically obtained in the cleanest area to be monitored for the ≥0.5 µm. Under the purge test ≥5.0 µm particles, should not be routinely recovered - if they are recovered, they should not occur consecutively. It is preferable to perform this test under a Grade A device.

 

If the counter meets the criteria, the purge test is re-run using a purge filter positioned on top of the counter.

 

Purge failures without the purge filter probably indicate internal sensor contamination. Purge failures with a purge filter in place probably indicate a filter that has become contaminated (which will occur after a filter has been used too many times or if the filter has become damaged).

 

The purge test cannot tell if a counter is undercounting. 

 

 

Contamination of the counter

 

Overreporting

As indicated above, particle counter sensors can become contaminated. Ideally, this will be shown through purging studies.

 

Sometimes data patterns indicate potential contamination. For example, it is normal to see that when a true event occurs, the pattern of ≥0.5 µm particles remains constant, whereas the pattern of ≥5.0 µm particles starts high and then drops off. This is because ≥5.0 µm particles tend to settle quickly due to gravity, whereas ≥0.5 µm particles will remain in the airstream until they are removed by air exhaustion. 

 

As an example, if an operator walks through a room or performs an activity that suspends particles into the air, 5.0 µm particles will fall out more quickly than ≥0.5 µm particles. Conversely, if ≥5.0 µm particles remain relatively steady, this may be a sign of counter-contamination (or an atypical particulate source).

 

Contamination due to counter-transportation

A source of contamination can occur when transporting a counter between areas, including when a counter is removed for calibration. When portable counters are transported between areas, the effectiveness of measures taken to avoid cross-contamination is important. 

 

Contamination due to vapour hydrogen peroxide

Particle counter tubing can become contaminated with hydrogen peroxide. Some material types are more prone to contamination than others. 

 

Bev-A Line (Hytrel) is not compatible with vapour hydrogen peroxide when exposed to repeat applications. Typically tubing needs to be changed every three months to avoid contamination/damage.

 

 

Averaging or extrapolating particle counts

 

Data is not representative

Particle counts should not be averaged or extrapolated for routine monitoring. Contaminants are introduced into the cleanroom from finite points and their subsequent distribution is generally limited or sporadic, with particles rarely following homogenous distribution 8.

 

Therefore, averaging or extrapolating data misinterprets the data distribution.  

 

 

Not using a delay time

 

Overreporting

It is good practice to let the air settle before taking a sample. It is recommended to program a minute or two delay into a particle counter so that the sampling begins after the air in the sample area is allowed to settle. 

 

When cleanrooms are monitored, the person taking the sample should step back at least three metres to allow the air to settle and avoid being the subject of the monitoring.

 

 

Calibration issues

 

Underreporting or overreporting

Incorrect or outdated calibration can result in inaccurate particle sizing and counting, potentially leading to data that is not representative of the actual particle concentration 9.

 

Calibration is assessed as the difference between ‘left data’ (the counter as it is presented for calibration) and ‘receive data’ (the recording of data after any adjustment). Calibration is performed to ISO 21501-4: 2018 (amended 2023) 10.

 

ISO 21501-4 provides a calibration procedure and verification method for airborne particle counters to minimise inaccurate measurements and reduce variations between different instruments. Laboratories performing calibrations should be ISO 17025: 2017  11 accredited. 

 

 

Poor Placement

 

Data is not representative

Placing the particle counter in an area that is not representative of the overall cleanroom environment can lead to biased data. 

 

 

Malfunctioning components

 

Underreporting

Problems with the laser, photodetector or other critical components can lead to inaccurate data or even complete data loss. 

 

For example, laser alignment is a critical factor. If the laser is not aligned correctly, the particle count accuracy will be wrong - misalignment will have the same effect of missing particles and the overall result will be inaccurate. The photodetector converts the scattered light as photons into electrical pulses by creating a charge for each received photon.

 

 

Sample inlet issues

 

Underreporting or overreporting

Problems with the sample inlet, such as leaks or clogging, can affect the flow rate and introduce errors in the particle counts. 

 

 

Data loss

Data loss can occur due to data transmission errors or when counters are deactivated (either due to power supply issues or due to human action).

 

 

Data transmission

 

Data is not representative

Breaks in communication between the counter and a server can lead to underreporting where one or more minutes of data is not recorded.

 

 

Counters deactivated

 

Data is not representative

Counters can sometimes be switched off in error or data can be lost due to electrical disruption.

 

In the event of a data loss, the most important activity is to undertake a trend assessment using available data (before and after the incident). The risk elevates partly as a result of the time of the data loss and partly based on whether any activity is taking place.

 

Occasional data losses of one or two minutes can occur within a cubic metre. Provided these are infrequent, they are not likely to be significant. Should they occur frequently, an engineering review is required.

 

Operator movement

 

Data is not representative – contamination increase

 

Rapid operator movement will increase the number of particles. In addition, any rapid movement of an operator’s arms in a sweeping motion into and out of a RABS or isolator will disrupt the air curtain and compromise the partial containment barrier provided by the clean air device, potentially directing particles to the critical zone 12.

 

As well as slow and deliberate movements, requesting operators to move their arms in and out perpendicular to the air inlet direction will help to reduce the risk 13. This is practice illustrated below: 

Summary

 

Accurate particle counting of inert and microbial-carrying particles in the airstream is an important and continuous component of contamination control (14). This article has presented some of the core reasons why particle counting can lead to erroneous data. The different subjects tackled should form part of a technical review of particle counting so that the practitioner can be assured of data reliability.

 

References

 

1.    F.O. Arouca, N.R. Feitosa, J.R. Coury (2010)  Effect of sampling in the evaluation of particle size distribution in nanoaerosols, Powder Technology, 200 (1-2): 52-59 https://doi.org/10.1016/j.powtec.2010.02.007

 


2.    B.Y.H. Liu, Z.Q. Zhang, T.H. Kuehn (1989) A numerical study of inertial errors in anisokinetic sampling, Journal of Aerosol Science, 20 (3): 367-380 

 


3.    ISO 14644-2:2015 Cleanrooms and associated controlled environments, Part 2: Monitoring to provide evidence of cleanroom performance related to air cleanliness by particle concentration

 

4.    Alajlan AA, Mukhtar LE, Almussallam AS et al. (2022) Assessment of disinfectant efficacy in reducing microbial growth. PLoS ONE 17(6): e0269850

 

5.    Halworth, M. (2018) An Analysis of Acceptable Particle Losses in Tubing, Particle Monitoring Systems, USA

 

6.    Sandle, T. (2024) Straightening out the cost of inaccurate particle counting: Tubing matters, European Journal of Parenteral and Pharmaceutical Sciences, 29 (4): https://www.ejpps.online/post/straightening-out-the-cost-of-inaccurate-particle-counting-tubing-matters 

 

7.    Kochevar, S. (2018) Counting Efficiency and Resolution in Optical Particle Counters, Particle Measuring Systems, USA

 

8.    Sandle, T. (2017) Distribution of Particles Within the Cleanroom: A Review of Contamination Control Considerations, Journal of GXP Compliance, 21 (6), 1-10: http://www.ivtnetwork.com/article/distribution-particles-within-cleanroom-review-contamination-control-considerations

 

9.    Sandle, T. (2019) Cleanroom Particle Counting: Assessing Data for Trends and Patterns, Journal of GxP Compliance, 23 (2): 1-10

 

10.    ISO 21501-4:2018/Amd 1:2023 Determination of particle size distribution — Single particle light interaction methods — Part 4: Light scattering airborne particle counter for clean spaces, Amendment 1

 

11.    ISO/IEC 17025:2017 General requirements for the competence of testing and calibration laboratories

 

12.    World Health Organization. Environmental Monitoring of Clean Rooms in Vaccine Manufacturing Facilities. No. 20, page 19

 

13.    Center for Disease Control (CDC). Biosafety in Microbiological and Biomedical Laboratories (BMBL) 5th Edition, Appendix A, page 300

 

14.    Whyte, W., and K Agricola, K.(2018) Comparison of the removal of macroparticles  and MCPs in cleanrooms by surface deposition and mechanical ventilation, Clean Air and Containment Review, Issue 35, 4-10

 

 

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