Multivariate statistical monitoring as applied to clean‐in‐place (CIP) and steam‐in‐place (SIP) operations in biopharmaceutical manufacturing

Multivariate statistical process monitoring (MSPM) is becoming increasingly utilized to further enhance process monitoring in the biopharmaceutical industry. MSPM can play a critical role when there are many measurements and these measurements are highly correlated, as is typical for many biopharmaceutical operations. Specifically, for processes such as cleaning‐in‐place (CIP) and steaming‐in‐place (SIP, also known as sterilization‐in‐place), control systems typically oversee the execution of the cycles, and verification of the outcome is based on offline assays. These offline assays add to delays and corrective actions may require additional setup times. Moreover, this conventional approach does not take interactive effects of process variables into account and cycle optimization opportunities as well as salient trends in the process may be missed. Therefore, more proactive and holistic online continued verification approaches are desirable. This article demonstrates the application of real‐time MSPM to processes such as CIP and SIP with industrial examples. The proposed approach has significant potential for facilitating enhanced continuous verification, improved process understanding, abnormal situation detection, and predictive monitoring, as applied to CIP and SIP operations. © 2014 American Institute of Chemical Engineers Biotechnol. Prog., 30:505–515, 2014     

Quantification of Lawsonia intracellularis in porcine faeces by real‐time PCR

Aim: To develop and to validate a method for the quantification of Lawsonia intracellularis in porcine faeces by real‐time PCR. Methods and Results: A real‐time PCR including a calibrator based on plasmid DNA for quantification by means of ΔΔCt method was evaluated. The parameters specificity, detection limit, quantification limit, linearity, range, repeatability, precision and recovery were validated. The detection limit of the agent was 1 copy per reaction, and quantification was reliable between 10¹ and 10⁷ copies per μl reaction volume. The linearity calculated by logistic regression revealed a slope of ?3·329 reflecting an efficiency of 99·7% for the assay. Moreover, it was shown that storage of samples and repetition of tests including DNA isolation by same or other investigators did not influence the outcome. Conclusion: The quantification method described herein revealed consistent results for the quantitation of L. intracellularis in porcine faeces samples. Significance and Impact of the Study: In contrast to common PCR in combination with gel electrophoresis, this validated quantification method based on real‐time PCR enhances a reliable quantification and is even more sensitive.     

Pseudo‐real‐time retinal layer segmentation for high‐resolution adaptive optics optical coherence tomography

We present a pseudo‐real‐time retinal layer segmentation for high‐resolution Sensorless Adaptive Optics‐Optical Coherence Tomography (SAO‐OCT). Our pseudo‐real‐time segmentation method is based on Dijkstra's algorithm that uses the intensity of pixels and the vertical gradient of the image to find the minimum cost in a geometric graph formulation within a limited search region. It segments six retinal layer boundaries in an iterative process according to their order of prominence. The segmentation time is strongly correlated to the number of retinal layers to be segmented. Our program permits en face images to be extracted during data acquisition to guide the depth specific focus control and depth dependent aberration correction for high‐resolution SAO‐OCT systems. The average processing times for our entire pipeline for segmenting six layers in a retinal B‐scan of 496 × 400 and 240 × 400 pixels are around 25.60 and 13.76 ms, respectively. When reducing the number of layers segmented to only two layers, the time required for a 240 × 400 pixel image is 8.26 ms.     

Development and evaluation of real‐time PCR assays for bloodmeal identification in Culicoides midges

Culicoides (Diptera: Ceratopogonidae) midges are the biological vectors of a number of arboviruses of veterinary importance. However, knowledge relating to the basic biology of some species, including their host‐feeding preferences, is limited. Identification of host‐feeding preferences in haematophagous insects can help to elucidate the transmission dynamics of the arboviruses they may transmit. In this study, a series of semi‐quantitative real‐time polymerase chain reaction (qPCR) assays to identify the vertebrate host sources of bloodmeals of Culicoides midges was developed. Two pan‐reactive species group and seven species‐specific qPCR assays were developed and evaluated. The assays are quick to perform and less expensive than nucleic acid sequencing of bloodmeals. Using these assays, it was possible to rapidly test nearly 700 blood‐fed midges of various species from several geographic locations in Australia.     

Evaluation of real‐time PCR methods for quantification of Acanthamoeba in anthropogenic water and biofilms

Aims: To assess two real‐time PCR methods (the Riviere and Qvarnstrom assays) for environmental Acanthamoeba. Methods and Results: DNA extracted from Acanthamoeba castellanii taken from water and biofilms of cooling towers was analysed by the Riviere and Qvarnstrom assays. To quantify environmental Acanthamoeba, the calibration curves (DNA quantity vs cell number) were constructed with samples spiked with A. castellanii. The calibration curves for both quantitative PCR assays showed low variation (coefficient of variation of C_t≤ 5·7%) and high linearity (R² ≥ 0·99) over six orders of magnitudes with detection limit of three cells per water sample. DNA quantity determined by Qvarnstrom assay was equivalent between trophozoites and cysts (P = 0·49), whereas a significant difference was observed with Riviere assay (P < 0·0001). Riviere assay failed to detect Acanthamoeba in 21% (15/71) of the environmental samples which were positively detected by Qvarnstrom assay, while one sample (1·4%) was shown positive by Riviere assay but negative by Qvarnstrom assay. Moreover, Acanthamoeba counts by Qvarnstrom assay were greater than those by Riviere assay (P < 0·0001). Conclusions: Qvarnstrom assay performs better than Riviere assay for detection and quantification of Acanthamoeba in anthropogenic water and biofilms. Significance and Impact of the Study: Qvarnstrom assay may significantly contribute to a better knowledge about the distribution and abundance of Acanthamoeba in environments.     

A quantitative method to evaluate mesenchymal stem cell lipofection using real‐time PCR

Genetic modification of human mesenchymal stem cells (MSC) is a powerful tool to improve the therapeutic utility of these cells and to increase the knowledge on their regulation mechanisms. In this context, strong efforts have been made recently to develop efficient nonviral gene delivery systems. Although several studies addressed this question most of them use the end product of a reporter gene instead of the DNA uptake quantification to test the transfection efficiency. In this study, we established a method based on quantitative real‐time PCR (RT‐PCR) to determine the intracellular plasmid DNA copy number in human MSC after lipofection. The procedure requires neither specific cell lysis nor DNA purification. The influence of cell number on the RT‐PCR sensitivity was evaluated. The method showed good reproducibility, high sensitivity, and a wide linear range of 75–2.5 × 10⁶ plasmid DNA copies per cell. RT‐PCR results were then compared with the percentage of transfected cells assessed by flow cytometry analysis, which showed that flow cytometry‐based results are not always proportional to plasmid cellular uptake determined by RT‐PCR. This work contributed for the establishment of a rapid quantitative assay to determine intracellular plasmid DNA in stem cells, which will be extremely beneficial for the optimization of gene delivery strategies. © 2010 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Accounting for space and uncertainty in real‐time location system‐derived contact networks

1. Point data obtained from real‐time location systems (RTLSs) can be processed into animal contact networks, describing instances of interaction between tracked individuals. Proximity‐based definitions of interanimal “contact,” however, may be inadequate for describing epidemiologically and sociologically relevant interactions involving body parts or other physical spaces relatively far from tracking devices. This weakness can be overcome by using polygons, rather than points, to represent tracked individuals and defining “contact” as polygon intersections.
2. We present novel procedures for deriving polygons from RTLS point data while maintaining distances and orientations associated with individuals' relocation events. We demonstrate the versatility of this methodology for network modeling using two contact network creation examples, wherein we use this procedure to create (a) interanimal physical contact networks and (b) a visual contact network. Additionally, in creating our networks, we establish another procedure to adjust definitions of “contact” to account for RTLS positional accuracy, ensuring all true contacts are likely captured and represented in our networks.
3. Using the methods described herein and the associated R package we have developed, called contact, researchers can derive polygons from RTLS points. Furthermore, we show that these polygons are highly versatile for contact network creation and can be used to answer a wide variety of epidemiological, ethological, and sociological research questions.
4. By introducing these methodologies and providing the means to easily apply them through the contact R package, we hope to vastly improve network‐model realism and researchers' ability to draw inferences from RTLS data.

     

Evaluation of Legionella pneumophila contamination in Italian hotel water systems by quantitative real‐time PCR and culture methods

Aims: This study was designed to define the extent of water contamination by Legionella pneumophila of certain Italian hotels and to compare quantitative real‐time PCR with the conventional culture method. Methods and Results: Nineteen Italian hotels of different sizes were investigated. In each hotel three hot water samples (boiler, room showers, recycling) and one cold water sample (inlet) were collected. Physico‐chemical parameters were also analysed. Legionella pneumophila was detected in 42% and 74% of the hotels investigated by the culture method and by real‐time PCR, respectively. In 21% of samples analysed by the culture method, a concentration of >10⁴ CFU l^?1 was found, and Leg. pneumophila serogroup 1 was isolated from 10·5% of the hotels. The presence of Leg. pneumophila was significantly influenced by water sample temperature, while no association with water hardness or residual‐free chlorine was found. Conclusions: This study showed a high percentage of buildings colonized by Leg. pneumophila. Moreover, real‐time PCR proved to be sensitive enough to detect lower levels of contamination than the culture method. Significance and Impact of the Study: This study indicates that the Italian hotels represent a possible source of risk for Legionnaires’ disease and confirms the sensitivity of the molecular method. To our knowledge, this is the first report to demonstrate Legionella contamination in Italian hotels using real‐time PCR and culture methods.     

Triplex real‐time polymerase chain reaction assay for detection and quantification of norovirus (GI and GII) and sapovirus

To improve detection of norovirus (NoVGI, NoVGII) and sapovirus (SaV), a simultaneous quantitative RT‐PCR method was established. This triplex real‐time PCR method was evaluated using a combination of optimized specific primers and probes. The performance of the developed PCR assay was equivalent to that of monoplex real‐time PCR across a broad dynamic range of 10²–10⁷ copies/assay using plasmid DNA standards. The limit of detection was 10² copies/assay. The quantitative value was comparable with that of monoplex real‐time PCR of stool samples. Our triplex real‐time PCR is useful for detection of NoV and SaV infections.     

Development and comparison of SYBR Green quantitative real‐time PCR assays for detection and enumeration of sulfate‐reducing bacteria in stored swine manure

Aims: To develop and evaluate primer sets targeted to the dissimilatory sulfite reductase gene (dsrA) for use in quantitative real‐time PCR detection of sulfate‐reducing bacteria (SRB) in stored swine manure. Methods and Results: Degenerate primer sets were developed to detect SRB in stored swine manure. These were compared with a previously reported primer set, DSR1F+ and DSR‐R, for their coverage and ability to detect SRB communities in stored swine manure. Sequenced clones were most similar to Desulfovibrio sp. and Desulfobulbus sp., and these SRB populations differed within different manure ecosystems. Sulfur content of swine diets was shown to affect the population of Desulfobulbus‐like Group 1 SRB in manure. Conclusions: The newly developed assays were able to enumerate and discern different groups of SRB, and suggest a richly diverse and as yet undescribed population of SRB in swine manure. Significance and Impact of the Study: The PCR assays described here provide improved and efficient molecular tools for quantitative detection of SRB populations. This is the first study to show population shifts of SRB in swine manure, which are a result of either the effects of swine diets or the maturity of the manure ecosystem.