Surface Sampling and the Detection of Contamination

Griffith, Chris

doi:10.1016/b978-0-08-100155-4.00044-3

Cited by 33 publications

(31 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the food industry, methods and techniques to recover microorganisms from surfaces have been developed, namely non-microbiological surface sampling, including visual assessment, ATP bioluminescence, protein and other assays, and microbiological surface sampling, i.e. indirect methods such as swabbing, sponges and wipes, direct methods such as contact plates, dip slides, petrifilm, rollers and agar sausages, and molecular methods (Griffith, 2016). However, parameters such as the diversity of experimental conditions or samples hinder the choice of the best method (Griffith, 2016).…”

Section: Sampling Methodsmentioning

confidence: 99%

“…indirect methods such as swabbing, sponges and wipes, direct methods such as contact plates, dip slides, petrifilm, rollers and agar sausages, and molecular methods (Griffith, 2016). However, parameters such as the diversity of experimental conditions or samples hinder the choice of the best method (Griffith, 2016). Hospital environments in Europe are usually sampled only in response to outbreaks, but guidelines on monitoring do not provide with microbiological protocols (Otter et al, 2015).…”

Section: Sampling Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

Scoullos¹

2021

View full text Add to dashboard Cite

καὶ ἐὰν εἰδῶ τὰ μυστήρια πάντα καὶ πᾶσαν τὴν γνῶσιν, ἀγάπην δὲ μὴ ἔχω, οὐδέν εἰμι To my parents vii ACKNOWLEDGMENTSThe completion of this thesis has been an exciting and wonderful journey that I travelled together with many people to whom I am extremely grateful. The gradual deepening into mechanisms taking place in nature, for the benefit of society and the environment, is perhaps the most rewarding experience for the time, resources and energy invested.First of all, my research and this PhD thesis would not be possible without the valuable Scholarship from the Academy of Athens from the Vasiliki Bekiari-Vekri Bequest and a Research Grant from the Alexander S. Onassis Public Benefit Foundation. I am deeply grateful for this opportunity to deepen my knowledge and to strengthen my commitment in finding practical solutions for a sustainable future. I would like to thank my promotor, Professor Dr. Damir Brdjanovic for giving me the opportunity to do a PhD and for his overall supervision, guidance and support since the first day I arrived in Delft. I am very thankful for his important expertise and contribution in formulating this very interesting topic and during all the stages towards the completion of my thesis. Thank you very much! Second, I would like to thank my mentor Dr. Carlos Lopez Vazquez for his day to day supervision, guidance and countless hours of meetings. Carlos, you know in detail all the stages of my PhD research, all the challenges I met, how I managed to overcome them and how I have changed. Thank you for everything! I would like to equally thank Dr. Jack van de Vossenberg for mentoring me in the second half of my PhD. Thank you, Jack, for your invaluable ideas and support! In difficult times you helped me see things in a positive way and you helped me believe in my skills. I would also like to thank Dr. Michael Hammond, who mentored me in the first half of my research. Thank you for your support, your ideas and your encouragement. Sabita, my amazing MSc student, I would like to add you in this list just after my mentors, because although you were my student I learned a lot from you. Your contribution in the research, your self-motivation, your willingness to learn and your smile even in times of desperation motivated me too and I am grateful that I had the opportunity to work with you.I would like to thank Prof. Maria Kennedy for her important input as member of my proposal defence committee and all the reviewers of my PhD proposal, my papers and my thesis.

show abstract

Section: Sampling Methodsmentioning

confidence: 99%

Section: Sampling Methodsmentioning

confidence: 99%

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

Scoullos¹

2021

View full text Add to dashboard Cite

show abstract

“…Traditionally, the methods used to determine the effectiveness of a sanitation programme are based on visual inspections, microbiological data or bioluminescence of ATP (adenosine triphosphate) (Hawronskyj and Holah 1997; Griffith 2016).…”

Section: Methods Used To Verify the Implementation Of Cleaning And Disinfection Programmesmentioning

confidence: 99%

“…The incorporation of a specific pathogen into surface sampling can be justified if that micro-organism has been found in the food, if a case of food poisoning is being investigated or if it is part of a pathogen control programme (e.g. Listeria in food premises) (Griffith 2016). Moreover it is recommended that food establishments collect data over time (historical data), which can be statistically analysed to obtain information on the trends of microbiological indicators and pathogens (Petruzzelli et al 2018).…”

Section: What?mentioning

confidence: 99%

Cleaning and disinfection programmes in food establishments: a literature review on verification procedures

Agüería

Libonatti

Civit

2020

J. Appl. Microbiol.

View full text Add to dashboard Cite

In food establishments, cleaning and disinfection programmes contribute to provide the environmental conditions that are necessary for the production of safe and healthy food. Compliance with validated programmes is evaluated through verification activities, in order to establish, through objective evidence, if they are implemented as they were written and if they are effective, achieving continuous improvement of the sanitation programmes. In accordance with the specific guidelines of each country, food companies set up their technical specifications and develop their own cleaning and disinfection programmes. Depending on the analytical method used, one of the main challenges was to establish a reasonable limit of acceptability according to the impact that each surface has on the safety and hygiene of the food that is prepared. This review was focused on the procedures implemented to verify the cleaning and disinfection programmes in food establishments. In particular, this study examines the methodologies used (audits and analytical methods), sites for the collection of samples, acceptance criteria and main findings. The results of the analysed studies constitute a scientific basis for designing or improving sanitation procedures and their verification in food companies, and also provide relevant information for food safety authorities.

show abstract

“…Industrial microbiology and its associated identification standards are primarily based on low-resolution identification methods. Such techniques include culture enrichment and biochemical profiling [ 18 ], rapid but non-specific approaches such as ATP production assessment [ 19 ], or molecular techniques for general microbial identification, such as 16S rRNA gene sequencing [ 20 ]. These techniques are insufficient for accurate identification of certain Bcc species.…”

Section: Introductionmentioning

confidence: 99%

Genomics reveals the novel species placement of industrial contaminant isolates incorrectly identified as Burkholderia lata

et al. 2021

View full text Add to dashboard Cite

The Burkholderia cepacia complex (Bcc) is a closely related group of bacteria, composed of at least 20 different species, the accurate identification of which is essential in the context of infectious diseases. In industry, they can contaminate non-food products, including home and personal care products and cosmetics. The Bcc are problematic contaminants due to their ubiquitous presence and intrinsic antimicrobial resistance, which enables them to occasionally overcome preservation systems in non-sterile products. Burkholderia lata and Burkholderia contaminans are amongst the Bcc bacteria encountered most frequently as industrial contaminants, but their identification is not straightforward. Both species were historically established as a part of a group known collectively as taxon K, based upon analysis of the recA gene and multilocus sequence typing (MLST). Here, we deploy a straightforward genomics-based workflow for accurate Bcc classification using average nucleotide identity (ANI) and core-gene analysis. The workflow was used to examine a panel of 23 Burkholderia taxon K industrial strains, which, based on MLST, comprised 13 B. lata, 4 B. contaminans and 6 unclassified Bcc strains. Our genomic identification showed that the B. contaminans strains retained their classification, whilst the remaining strains were reclassified as Burkholderia aenigmatica sp. nov. Incorrect taxonomic identification of industrial contaminants is a problematic issue. Application and testing of our genomic workflow allowed the correct classification of 23 Bcc industrial strains, and also indicated that B. aenigmatica sp. nov. may have greater importance than B. lata as a contaminant species. Our study illustrates how the non-food manufacturing industry can harness whole-genome sequencing to better understand antimicrobial-resistant bacteria affecting their products.

show abstract

Surface Sampling and the Detection of Contamination

Cited by 33 publications

References 39 publications

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

Assessment of the Fate of Surrogates for Enteric Pathogens Resulting from the Surcharging of Combined Sewer Systems

Cleaning and disinfection programmes in food establishments: a literature review on verification procedures

Genomics reveals the novel species placement of industrial contaminant isolates incorrectly identified as Burkholderia lata

Contact Info

Product

Resources

About