Dataset Information

Real-time monitoring of non-viable airborne particles correlates with airborne colonies and represents an acceptable surrogate for daily assessment of cell-processing cleanroom performance.

ABSTRACT: BACKGROUND AIMS:Airborne particulate monitoring is mandated as a component of good manufacturing practice. We present a procedure developed to monitor and interpret airborne particulates in an International Organization for Standardization (ISO) class 7 cleanroom used for the cell processing of Section 351 and Section 361 products. METHODS:We collected paired viable and non-viable airborne particle data over a period of 1 year in locations chosen to provide a range of air quality. We used receiver operator characteristic (ROC) analysis to determine empirically the relationship between non-viable and viable airborne particle counts. RESULTS:Viable and non-viable particles were well-correlated (r(2) =?0.78), with outlier observations at the low end of the scale (non-viable particles without detectable airborne colonies). ROC analysis predicted viable counts ??0.5/feet(3) (a limit set by the United States Pharmacopeia) at an action limit of ??32 000 particles (??0.5 µ)/feet(3), with 95.6% sensitivity and 50% specificity. This limit was exceeded 2.6 times during 18 months of retrospective daily cleanroom data (an expected false alarm rate of 1.3 times/year). After implementing this action limit, we were alerted in real time to an air-handling failure undetected by our hospital facilities management. CONCLUSIONS:A rational action limit for non-viable particles was determined based on the correlation with airborne colonies. Reaching or exceeding the action limit of 32 000 non-viable particles/feet(3) triggers suspension of cleanroom cell-processing activities, deep cleaning, investigation of air handling, and a deviation management process. Our full procedure for particle monitoring is available as an online supplement.

SUBMITTER: Raval JS

PROVIDER: S-EPMC4165074 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Real-time monitoring of non-viable airborne particles correlates with airborne colonies and represents an acceptable surrogate for daily assessment of cell-processing cleanroom performance.

Raval Jay S JS Koch Eileen E Donnenberg Albert D AD

Cytotherapy 20120702 9

<h4>Background aims</h4>Airborne particulate monitoring is mandated as a component of good manufacturing practice. We present a procedure developed to monitor and interpret airborne particulates in an International Organization for Standardization (ISO) class 7 cleanroom used for the cell processing of Section 351 and Section 361 products.<h4>Methods</h4>We collected paired viable and non-viable airborne particle data over a period of 1 year in locations chosen to provide a range of air quality. ...[more]

PMID: 22746538

Similar Datasets

Project description:NASA cleanrooms are certified by particle counts and are humidity-controlled, temperature-regulated, and oligotrophic in nature for assembling spacecraft subsystems. Microorganisms, which are not part of the cleanroom certification metrics, should not be overlooked when assessing the cleanliness of the facility since they can enter through soil or air, shed from humans, adapt to the oligotrophic conditions, and subsequently could contaminate spacecraft. These biogenic particles need to be identified to extend our knowledge of biological contamination for future NASA mission use. This study collected particles from the cleanroom and estimated the distribution of fallout microbial cell and inert dust particles using microscopy and molecular techniques. Aluminum coupon-based polycarbonate filter assemblies were deployed in the spacecraft assembly cleanroom facility to collect fallout particles. Epifluorescence and electron microscopy showed that particles varied in size and structure, and displayed live/dead biological and inert particle signatures from sources that include spores and fungal hyphae. Additionally, correlative epifluorescence and field emission scanning electron microscopy, combined with energy-dispersive X-ray analysis (for elemental compositions) methods, differentiated whether microbes adhering to particles were live/dead cells or inert particles. This visualization approach allowed for the classification of microorganisms as being standalone (free-living) or associated with a particle, as well as its characteristic size. Furthermore, time-course microscopy was used to determine the microbial cell growth and confirm the biological/molecular identification. Routine investigation of cleanroom biological and inert fallout particles will help to determine the biological load of spacecraft components and will also have direct relevance to the pharmaceutical and medical industries. One of the main objectives for NASA's current and future missions is to prevent forward and back contamination of exploring planets. The goal of this study is to determine the association of microorganisms with the inert, natural cleanroom fallout particles and to ascertain whether microorganisms prefer to adhere to a particle size. A novel microscopy technique was developed, and by utilizing various molecular techniques, particles and associated microbial phylogeny were characterized. An accurate assessment of the microbes associated with cleanroom particles is necessary to protect the health of the people who occupy the room for long duration for aeronautical, medical, and pharmaceutical industries.

Project description:Medical procedures that produce aerosolized particles are under great scrutiny due to the recent concerns surrounding the COVID-19 virus and increased risk for nosocomial infections. For example, thoracostomies, tracheotomies and intubations/extubations produce aerosols that can linger in the air. The lingering time is dependent on particle size where, e.g., 500 μm (0.5 mm) particles may quickly fall to the floor, while 1 μm particles may float for extended lengths of time. Here, a method is presented to characterize the size of <40 μm to >600 μm particles resulting from surgery in an operating room (OR). The particles are measured in-situ (next to a patient on an operating table) through a 75mm aperture in a ∼400 mm rectangular enclosure with minimal flow restriction. The particles and gasses exiting a patient are vented through an enclosed laser sheet while a camera captures images of the side-scattered light from the entrained particles. A similar optical configuration was described by Anfinrud et al.; however, we present here an extended method which provides a calibration method for determining particle size. The use of a laser sheet with side-scattered light provides a large FOV and bright image of the particles; however, the particle image dilation caused by scattering does not allow direct measurement of particle size. The calibration routine presented here is accomplished by measuring fixed particle distribution ranges with a calibrated shadow imaging system and mapping these measurements to the in-situ imaging system. The technique used for generating and measuring these particles is described. The result is a three-part process where 1) particles of varying sizes are produced and measured using a calibrated, high-resolution shadow imaging method, 2) the same particle generators are measured with the in-situ imaging system, and 3) a correlation mapping is made between the (dilated) laser image size and the measured particle size. Additionally, experimental and operational details of the imaging system are described such as requirements for the enclosure volume, light management, air filtration and control of various laser reflections. Details related to the OR environment and requirements for achieving close proximity to a patient are discussed as well.

Project description:Despite their significant impact on public health, antibiotic resistance and size distributions of airborne viable bacteria in indoor environments in neonatal intensive care units (NICU) remain understudied. Therefore, the objective of this study was to assess the antibiotic resistance of airborne viable bacteria for different sizes (0.65-7 µm) in private-style and public-style neonatal intensive care units (NICU). Airborne bacteria concentrations were assessed by a six-stage Andersen impactor, operating at 28.3 L/min. Public-style NICU revealed higher concentrations of airborne viable bacteria (53.00 to 214.37 CFU/m3) than private-style NICU (151.94-466.43), indicating a possible threat to health. In the public-style NICU, Staphylococcus was the highest bacterial genera identified in the present study, were Staphylococcus saprophyticus and Staphylococcus epidermidis predominated, especially in the second bronchi and alveoli size ranges. Alloiococcus otitidis, Bacillus subtiles, Bacillus thuringiensis, Kocuria rosea, and Pseudomonas pseudoalcaligene, were identified in the alveoli size range. In NICU#2, eight species were identified in the alveoli size range: Bacillus cereus, Bacillus subtilis, Bacillus thuringiensis, Eikenella corrodens, Pseudomonas aeruginosa, Staphylococcus aureus, Staphylococcus epidermidis, and Streptococcus gordoni. Multi-drug-resistant organisms (MDROs) were found in both of the NICUs. Bacillus cereus strains were resistant to Ampicillin, Cefoxitin, Ceftaroline, and Penicillin G. Staphylococcus cohnii ssp. cohnii was resistant in parallel to ampicillin and G penicillin. Staphylococcus saprophyticus strains were resistant to Ampicillin, Penicillin G, Oxaxilin, and Erythromycin. Results may indicate a potential threat to human health due to the airborne bacteria concentration and their antibiotic resistance ability. The results may provide evidence for the need of interventions to reduce indoor airborne particle concentrations and their transfer to premature infants with underdeveloped immune systems, even though protocols for visitors and cleaning are well-established.

Dataset Information

Real-time monitoring of non-viable airborne particles correlates with airborne colonies and represents an acceptable surrogate for daily assessment of cell-processing cleanroom performance.

Publications

Real-time monitoring of non-viable airborne particles correlates with airborne colonies and represents an acceptable surrogate for daily assessment of cell-processing cleanroom performance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure