Biofluorescent particle detectors offer a fundamentally different way of enumerating microbes present in an environment, as compared to traditional growth-based methods. Here, the Process and Environmental Monitoring Methods (PEMM) group shares information about the technology and applications for real-time biofluorescent particle detection methods and how they help to address major industry concerns.
BIOLOGIC FLUORESCENCE (also referred to as biological autofluorescence) is based on the laser excitation and emission of biological compounds such as nicotinamide adenine dinucleotide (NADH), riboflavin, tryptophan and picolinic acid. One or more of these compounds is found in all microorganisms.1
Biofluorescent particle (BFP) detection systems are a form of enhanced particle counter, capable of the continuous and real-time detection of inert particles and microorganisms in both air and pharmaceutical-grade waters. These systems utilise the detection of scattered laser light for particle enumeration and fluorescence detection for the classification of detected particles as either BFP (ie, biologic) or inert (ie, non-biologic) (Figure 1). As particles are sampled by the BFP counting system they are exposed to laser light, commonly with a 405nm wavelength. Inert particles scatter this light as they travel through the laser beam. BFPs both scatter the laser light and emit fluorescence. This emitted fluorescence is the result of laser light absorption by fluorescent molecules within the particle followed by emission at a longer wavelength. This process is known as laser-induced fluorescence (LIF). LIF can be used to excite fluorescent molecules present in all microorganisms, including NADH, dipicolinic acid and riboflavin, when 405nm excitation is used. The BFP detection systems currently available are designed to have the sensitivity and specificity to detect light emission from such fluorescent molecules found in microorganisms.
Figure 1: BFP detection systems utilise the detection of scattered laser light for particle enumeration and fluorescence detection for the classification of detected particles as either BFP (ie, biologic) or inert (ie, non-biologic).
BFP detectors offer a fundamentally different way of enumerating microbes present in an environment, as compared to traditional growth‑based methods. BFP detectors use information about size and the natural fluorescence of a particle to indicate a microbe is present. This unit of measure is often termed an autofluorescent unit (AFU) due to its dependence on natural fluorescence. Detection based on autofluorescence removes the need for sample preparation, such as staining in the case of LIF-based flow cytometry, and better enables the detection of viable but nonculturable microorganisms since it is not dependent upon growth.2 Although BFP detection systems are designed to minimise the classification of non‑biologic fluorescent particles as biologic, like some plastics, it is possible that some non‑biologic fluorescent particles will be classified as a BFP and reported as an AFU. By comparison, the colony forming unit (CFU) is based upon growth and used to estimate the number of viable and culturable bacteria or fungal cells in a sample. However, many microorganisms are viable but non-culturable on traditional media under standard incubation conditions, therefore methods based on culturability can have significant limitations regarding the number of organisms detected. Owing to these differences in detection, an AFU is not equivalent to a CFU, but rather the methods can be considered complementary.
Are you looking to explore how lipid formulations in softgels can enhance drug absorption and bioavailability. Register for our upcoming webinar to find out!
3 September 2025 | 3:00 PM BST | FREE Webinar
This webinar will delve into the different types of lipid formulations, such as solutions, suspensions, emulsions, and self-(micro)emulsifying systems. Applications span diverse therapeutic areas including HIV therapy, oncology, immunosuppressants, and emerging treatments like medicinal cannabis (eg, CBD).
What You’ll Learn:
Lipid formulation development and screening tools for optimisation
Key steps in scale-up and industrialisation to ensure consistency and efficiency
Impact of lipid-based softgels on drug delivery and patient outcomes.
Through the continuous monitoring of total and BFP counts, and autofluorescence-based detection, BFP detection systems offer an often higher sensitivity than traditional methods and real‑time insight into microbes present in air or water. This continuous and data-rich source of microbial information can be used to increase process understanding and control and has resulted in BFP detection systems being used in a number of real‑time air and water monitoring applications.
Practical implementation
BFP detectors offer a fundamentally different way of enumerating microbes present in an environment, as compared to traditional growthbased methods”
The pharmaceutical industry quickly identified the potential value of BFP systems’ ability to monitor changes in classified environments and intermittent events, and in continuous monitoring.3-5 There are numerous opinions about the roles and implementation of BFP technology in manufacturing, quality oversight and regulatory acceptance. Implementation has required a shift toward collaborative development of best practices to accelerate the adoption of the systems. Open sharing of datasets and analysis can create an alignment of expectations and appropriate responses from internal quality groups and external regulatory agencies. The BFP instruments have enabled a paradigm shift for continuous monitoring with continuous trending data and feedback enabling real-time operational actions to address changes detected in the environment. This contrasts with the traditional, intermittent culture-based results that are an assessment of whether bioburden CFUs are within acceptable limits at a single point in time.
Portable BFP analysers are process analytical technologies (PAT) that can be brought to the shop floor for air and water monitoring. The benefit of portable, continuous analysers is that they enable real-time process monitoring of aseptic manufacturing and differentiate BFPs (both air and water) from traditional laboratory techniques.6,7
Case studies
Several companies have successfully used portable BFP analysers in non-GMP monitoring applications. While a few of these uses have been published, the authors are aware of many additional unpublished non-GMP applications.
Comparison of the performance of an air-based BFP analyser and both Andersen air samplers and an all-gas impingement method coupled with reagent-based fluorescent cell counting in controlled chambers and classified and unclassified areas showed that the air-based BFP analyser had recovery rates equal to or better than the other two methods.8
In 2014, Sandle et al. described the use of a BFP air analyser to provide real-time assurance and found that a controlled environment maintained suitable conditions through standard operation, shutdown and maintenance; cleaning and disinfection; before return to normal use.9 Through these studies they showed the utility of BFP systems for establishing a baseline while in normal operation against which post-shutdown conditions can be measured to provide assurance that the area or utility is ready to be successfully requalified as suitable for use. They also point out that BFP analysers could be used as risk mitigation tools to provide assurance that the area or utility could be released on risk based on initial data (eg, particulate counts), but before the completion of incubation times for viable air plates.
BFP detection systems offer an often higher sensitivity than traditional methods and real-time insight into microbes present in air or water”
Implementation of a water-based BFP analyser in a new high-purity water system was described by Lipko, Termine and Walter.10 The analyser was placed on the HPW distribution system to complement the on-line total organic carbon (TOC) and conductivity measurements. The authors claimed the BFP analyser allowed a 20 percent reduction in the number of grab samples that needed to be taken and assayed.
José-Miguel Montenegro-Alvarado recently described how a BFP air analyser system was used following a hurricane-induced long-duration facility outage to establish contamination focus areas for special remediation prior to formal re-establishment of cleanroom conditions.11 These activities included a grid-based survey of EM conditions, survey of opening and closing doors between rooms and into cabinets to map bioburden flux, scanning of specific areas of concern and ceiling fixtures and a re-scanning of areas after remediation and cleaning prior to formal sampling for re-establishing room classification.
In a second publication, Montenegro- Alvarado et al. described, also in the context of restoring facilities to operational readiness following an extended outage, the use of BFP analysers to provide assurance prior to formal requalification.12 These activities included scanning HEPA filters for particulate leakage and replacement prior to formal requalification activities, checking cleaned and disinfected rooms for formal requalification readiness and the use of a BFP water analyser for the assessment of bioburden in purified water systems.
Current challenges
While BFP systems are clearly useful, several limitations affect the current iterations of BFP technology. Current BFP systems cannot distinguish between dead, viable but non-culturable and viable cells, nor can they currently fully distinguish putative microorganisms from similarly-shaped debris (eg, polymers) that may fluoresce. However, this limitation may not be as impactful in situations with relaxed stringency such as lower‑grade air and water systems. In these cases it may be feasible to use BFP analysers in a statistical process-control mode to provide continued assurance that the system remains within the required boundaries.
For high-stringency uses like grade A air or WFI, the need to identify and control single-detection events becomes critical. To distinguish true viable microbe detection from false positives, sample capture or not‑yet-implemented alternative identification methods can be used. It is, however, currently impractical to capture and identify single particle events in a manufacturing facility. The development of sample capture systems that provide reasonable controls to identify potential viable microorganisms will aid appropriate responses. A recent publication provides user requirement specifications for water‑based BFP analysers and may be useful for ensuring that baseline expectations are met.13
BFP instruments are validated using the same principles as traditional particle counters to ensure reliable particle counts. The complementarity, but not direct correlation, of AFU and CFU presents challenges in explaining the difference between the growth-based CFU measurement to the more holistic AFU measurement system. Appropriate alert and action levels should be developed by industry based on the baseline AFU counts obtained in their environment, the stringency of the intended application and the potential and risk of a single particle event during a manufacturing operation.
Where do we go from here? The BFP‑illuminated future of manufacturing
The long history of the BFP methodology and these published examples provides evidence and assurance that BFP technologies have utility in non-good manufacturing practice (GMP) settings and currently (with proper caution) also in GMP settings. Analysers have been deployed to monitor air and water under a wide variety of conditions in both non-GMP and GMP settings. Some of these uses, such as remediation of a facility following a catastrophic event such as a major hurricane, are both clever and wise as the real-time data obtained from BFP analysers provides immediate feedback on conditions. The increase in recent publications on the use of BFP analysers has been significant and this group looks forward to seeing additional publications covering the use of BFP analysers as they will increase the collective body of knowledge, lead to even greater acceptance of the technology and reveal novel ways that the technology can be leveraged to monitor manufacturing facilities and process stream conditions.
About the authors
The authors comprise a collaborative group formed to improve the acceptability and use of real-time biofluorescent particle detection process and environmental monitoring methods (PEMM) for air and water in the pharmaceutical industry. With that aim, the team has sought to share knowledge on the technology behind and applications for real-time biofluorescent particle detection methods and their benefits to address major industry concerns such as process understanding, risk management, productivity and safety.
Fred Ayers, Research Scientist, Eli Lilly. Jih-Peng Chen, Quality Control Associate III, Biogen. Mike Dingle, Field Application Specialist, TSI. Scott Hooper, Associate Director, MSD. Lisa Lawson, Global Pharma GMP Adviser, Particle Measuring Systems. Deward Manzer, President and CEO, MicronView. Peter Noverini, Research Associate III, Baxter Healthcare Corporation. Aditya Prasad, QC Lead, AstraZeneca. Allison Scott, Senior Principal Scientist, Azbil North America R&D – BioVigilant. Philip Villari, Associate Principal Scientist, Merck and Co., Inc. Jeffrey Weber, Senior PAT Project Manager, Pfizer Inc.
References
Ammor MS. Recent advances in the use of intrinsic fluorescence for bacterial identification and characterization. J Fluor. 2007 Oct;17(5):455-59.
Irie K, Scott A, Haseqawa N. Investigation of the detection ability of an intrinsic fluorescence-based bioaerosol detection system for heat-stressed bacteria. PDA J Pharm Sci Technol. 2014 Sep/Oct;68(5):478-93.
Cundell A, Gordon O, Haycocks N, Johnston J, Luebke M, Lewis N, et al. Novel concept for online water bioburden analysis: key considerations, applications, and business benefits for microbiological risk reduction. Amer Pharm Rev. 2013;16(3):26-31.
Moldenhauer J. Environmental monitoring, a comprehensive handbook. 2nd ed. River Grove: DHI Publishing LLC; 2005. 459p.
This website uses cookies to enable, optimise and analyse site operations, as well as to provide personalised content and allow you to connect to social media. By clicking "I agree" you consent to the use of cookies for non-essential functions and the related processing of personal data. You can adjust your cookie and associated data processing preferences at any time via our "Cookie Settings". Please view our Cookie Policy to learn more about the use of cookies on our website.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorised as ”Necessary” are stored on your browser as they are as essential for the working of basic functionalities of the website. For our other types of cookies “Advertising & Targeting”, “Analytics” and “Performance”, these help us analyse and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these different types of cookies. But opting out of some of these cookies may have an effect on your browsing experience. You can adjust the available sliders to ‘Enabled’ or ‘Disabled’, then click ‘Save and Accept’. View our Cookie Policy page.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Cookie
Description
cookielawinfo-checkbox-advertising-targeting
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Advertising & Targeting".
cookielawinfo-checkbox-analytics
This cookie is set by GDPR Cookie Consent WordPress Plugin. The cookie is used to remember the user consent for the cookies under the category "Analytics".
cookielawinfo-checkbox-necessary
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance
This cookie is set by GDPR Cookie Consent WordPress Plugin. The cookie is used to remember the user consent for the cookies under the category "Performance".
PHPSESSID
This cookie is native to PHP applications. The cookie is used to store and identify a users' unique session ID for the purpose of managing user session on the website. The cookie is a session cookies and is deleted when all the browser windows are closed.
viewed_cookie_policy
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
zmember_logged
This session cookie is served by our membership/subscription system and controls whether you are able to see content which is only available to logged in users.
Performance cookies are includes cookies that deliver enhanced functionalities of the website, such as caching. These cookies do not store any personal information.
Cookie
Description
cf_ob_info
This cookie is set by Cloudflare content delivery network and, in conjunction with the cookie 'cf_use_ob', is used to determine whether it should continue serving “Always Online” until the cookie expires.
cf_use_ob
This cookie is set by Cloudflare content delivery network and is used to determine whether it should continue serving “Always Online” until the cookie expires.
free_subscription_only
This session cookie is served by our membership/subscription system and controls which types of content you are able to access.
ls_smartpush
This cookie is set by Litespeed Server and allows the server to store settings to help improve performance of the site.
one_signal_sdk_db
This cookie is set by OneSignal push notifications and is used for storing user preferences in connection with their notification permission status.
YSC
This cookie is set by Youtube and is used to track the views of embedded videos.
Analytics cookies collect information about your use of the content, and in combination with previously collected information, are used to measure, understand, and report on your usage of this website.
Cookie
Description
bcookie
This cookie is set by LinkedIn. The purpose of the cookie is to enable LinkedIn functionalities on the page.
GPS
This cookie is set by YouTube and registers a unique ID for tracking users based on their geographical location
lang
This cookie is set by LinkedIn and is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website.
lidc
This cookie is set by LinkedIn and used for routing.
lissc
This cookie is set by LinkedIn share Buttons and ad tags.
vuid
We embed videos from our official Vimeo channel. When you press play, Vimeo will drop third party cookies to enable the video to play and to see how long a viewer has watched the video. This cookie does not track individuals.
wow.anonymousId
This cookie is set by Spotler and tracks an anonymous visitor ID.
wow.schedule
This cookie is set by Spotler and enables it to track the Load Balance Session Queue.
wow.session
This cookie is set by Spotler to track the Internet Information Services (IIS) session state.
wow.utmvalues
This cookie is set by Spotler and stores the UTM values for the session. UTM values are specific text strings that are appended to URLs that allow Communigator to track the URLs and the UTM values when they get clicked on.
_ga
This cookie is set by Google Analytics and is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. It stores information anonymously and assign a randomly generated number to identify unique visitors.
_gat
This cookies is set by Google Universal Analytics to throttle the request rate to limit the collection of data on high traffic sites.
_gid
This cookie is set by Google Analytics and is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visited in an anonymous form.
Advertising and targeting cookies help us provide our visitors with relevant ads and marketing campaigns.
Cookie
Description
advanced_ads_browser_width
This cookie is set by Advanced Ads and measures the browser width.
advanced_ads_page_impressions
This cookie is set by Advanced Ads and measures the number of previous page impressions.
advanced_ads_pro_server_info
This cookie is set by Advanced Ads and sets geo-location, user role and user capabilities. It is used by cache busting in Advanced Ads Pro when the appropriate visitor conditions are used.
advanced_ads_pro_visitor_referrer
This cookie is set by Advanced Ads and sets the referrer URL.
bscookie
This cookie is a browser ID cookie set by LinkedIn share Buttons and ad tags.
IDE
This cookie is set by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.
li_sugr
This cookie is set by LinkedIn and is used for tracking.
UserMatchHistory
This cookie is set by Linkedin and is used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.
VISITOR_INFO1_LIVE
This cookie is set by YouTube. Used to track the information of the embedded YouTube videos on a website.