Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces
Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purp...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Valero, Antonio [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017transfer abstract |
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| Schlagwörter: |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma - Tanaka, Hajime ELSEVIER, 2022, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:77 ; year:2017 ; pages:8-16 ; extent:9 |
| Links: |
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| DOI / URN: |
10.1016/j.foodcont.2017.01.013 |
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ELV02041157X |
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| 245 | 1 | 0 | |a Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces |
| 264 | 1 | |c 2017transfer abstract | |
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| 520 | |a Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. | ||
| 520 | |a Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. | ||
| 650 | 7 | |a Catering establishments |2 Elsevier | |
| 650 | 7 | |a Enterobacteriaceae |2 Elsevier | |
| 650 | 7 | |a Poisson-log normal distribution |2 Elsevier | |
| 650 | 7 | |a Environmental sampling |2 Elsevier | |
| 650 | 7 | |a Food-contact surface |2 Elsevier | |
| 700 | 1 | |a Ortiz, Juan Carlos |4 oth | |
| 700 | 1 | |a Fongaro, Gislaine |4 oth | |
| 700 | 1 | |a Hernández, Marta |4 oth | |
| 700 | 1 | |a Rodríguez-Lázaro, David |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Tanaka, Hajime ELSEVIER |t Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma |d 2022 |g Amsterdam [u.a.] |w (DE-627)ELV009139680 |
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10.1016/j.foodcont.2017.01.013 doi GBV00000000000099A.pica (DE-627)ELV02041157X (ELSEVIER)S0956-7135(17)30023-3 DE-627 ger DE-627 rakwb eng 630 640 630 DE-600 640 DE-600 610 VZ Valero, Antonio verfasserin aut Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Catering establishments Elsevier Enterobacteriaceae Elsevier Poisson-log normal distribution Elsevier Environmental sampling Elsevier Food-contact surface Elsevier Ortiz, Juan Carlos oth Fongaro, Gislaine oth Hernández, Marta oth Rodríguez-Lázaro, David oth Enthalten in Elsevier Science Tanaka, Hajime ELSEVIER Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma 2022 Amsterdam [u.a.] (DE-627)ELV009139680 volume:77 year:2017 pages:8-16 extent:9 https://doi.org/10.1016/j.foodcont.2017.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 77 2017 8-16 9 045F 630 |
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10.1016/j.foodcont.2017.01.013 doi GBV00000000000099A.pica (DE-627)ELV02041157X (ELSEVIER)S0956-7135(17)30023-3 DE-627 ger DE-627 rakwb eng 630 640 630 DE-600 640 DE-600 610 VZ Valero, Antonio verfasserin aut Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Catering establishments Elsevier Enterobacteriaceae Elsevier Poisson-log normal distribution Elsevier Environmental sampling Elsevier Food-contact surface Elsevier Ortiz, Juan Carlos oth Fongaro, Gislaine oth Hernández, Marta oth Rodríguez-Lázaro, David oth Enthalten in Elsevier Science Tanaka, Hajime ELSEVIER Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma 2022 Amsterdam [u.a.] (DE-627)ELV009139680 volume:77 year:2017 pages:8-16 extent:9 https://doi.org/10.1016/j.foodcont.2017.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 77 2017 8-16 9 045F 630 |
| allfields_unstemmed |
10.1016/j.foodcont.2017.01.013 doi GBV00000000000099A.pica (DE-627)ELV02041157X (ELSEVIER)S0956-7135(17)30023-3 DE-627 ger DE-627 rakwb eng 630 640 630 DE-600 640 DE-600 610 VZ Valero, Antonio verfasserin aut Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Catering establishments Elsevier Enterobacteriaceae Elsevier Poisson-log normal distribution Elsevier Environmental sampling Elsevier Food-contact surface Elsevier Ortiz, Juan Carlos oth Fongaro, Gislaine oth Hernández, Marta oth Rodríguez-Lázaro, David oth Enthalten in Elsevier Science Tanaka, Hajime ELSEVIER Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma 2022 Amsterdam [u.a.] (DE-627)ELV009139680 volume:77 year:2017 pages:8-16 extent:9 https://doi.org/10.1016/j.foodcont.2017.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 77 2017 8-16 9 045F 630 |
| allfieldsGer |
10.1016/j.foodcont.2017.01.013 doi GBV00000000000099A.pica (DE-627)ELV02041157X (ELSEVIER)S0956-7135(17)30023-3 DE-627 ger DE-627 rakwb eng 630 640 630 DE-600 640 DE-600 610 VZ Valero, Antonio verfasserin aut Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Catering establishments Elsevier Enterobacteriaceae Elsevier Poisson-log normal distribution Elsevier Environmental sampling Elsevier Food-contact surface Elsevier Ortiz, Juan Carlos oth Fongaro, Gislaine oth Hernández, Marta oth Rodríguez-Lázaro, David oth Enthalten in Elsevier Science Tanaka, Hajime ELSEVIER Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma 2022 Amsterdam [u.a.] (DE-627)ELV009139680 volume:77 year:2017 pages:8-16 extent:9 https://doi.org/10.1016/j.foodcont.2017.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 77 2017 8-16 9 045F 630 |
| allfieldsSound |
10.1016/j.foodcont.2017.01.013 doi GBV00000000000099A.pica (DE-627)ELV02041157X (ELSEVIER)S0956-7135(17)30023-3 DE-627 ger DE-627 rakwb eng 630 640 630 DE-600 640 DE-600 610 VZ Valero, Antonio verfasserin aut Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces 2017transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. Catering establishments Elsevier Enterobacteriaceae Elsevier Poisson-log normal distribution Elsevier Environmental sampling Elsevier Food-contact surface Elsevier Ortiz, Juan Carlos oth Fongaro, Gislaine oth Hernández, Marta oth Rodríguez-Lázaro, David oth Enthalten in Elsevier Science Tanaka, Hajime ELSEVIER Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma 2022 Amsterdam [u.a.] (DE-627)ELV009139680 volume:77 year:2017 pages:8-16 extent:9 https://doi.org/10.1016/j.foodcont.2017.01.013 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 77 2017 8-16 9 045F 630 |
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Definition of sampling procedures for collective-eating establishments based on the distribution of environmental microbiological contamination on food handlers, utensils and surfaces |
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Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. |
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Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. |
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Environmental sampling has been identified as an effective procedure to verify correct implementation of food safety control systems in catering establishments. At the same time characterization of microbial distribution of environmental contamination could potentially address effective fit-for-purpose sampling procedures. In this study 1202 environmental samples from three types of food catering establishments located in Madrid, Spain were monitored for presence of mesophilic bacteria, Enterobacteriaceae, Staphylococcus aureus and Escherichia coli. Samples corresponded to food-contact utensils, handlers’-contact utensils and food handlers, using 3M™ Petrifilm™ count plates. Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments. |
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Contamination routes were identified through the calculation of Spearman correlation coefficients. Further, characterization of statistical distributions of microbial contamination and suggestion of sampling procedures were also performed. Results showed that 53.0% of the samples were positive for at least one of the bacterial group studied and 328 among those (27.1%) with counts between 1 and 15 CFU/plate. Enterobacteriaceae were present in 62.1% of food handlers' samples as well as E. coli and S. aureus (7.5% and 26.6%, respectively). Contamination routes from food handlers to handlers’-utensils was identified in a bidirectional way, being it subsequently spread to utensils in contact with foods. Finally, it was shown that the selection of the microbial distribution significantly affected significantly the number of samples needed to detect positives above a certain microbial level. As expected, when negative results are present (high zero counts or left censored data), Poisson-log normal distributions can describe properly the distribution of microbial contamination. However, log normal distributions presented better fit for samples with higher microbial counts and right-censored data (mesophilic bacteria) so that they can be used to describe contamination at high levels. The data and results generated in this study could be of high relevance to food safety authorities to appropriately address environmental sampling procedures in catering establishments.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Catering establishments</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Enterobacteriaceae</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Poisson-log normal distribution</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Environmental sampling</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Food-contact surface</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ortiz, Juan Carlos</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fongaro, Gislaine</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hernández, Marta</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rodríguez-Lázaro, David</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Tanaka, Hajime ELSEVIER</subfield><subfield code="t">Defining Tumour Shape Irregularity for Preoperative Risk Stratification of Clinically Localised Renal Cell Carcinoma</subfield><subfield code="d">2022</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV009139680</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:77</subfield><subfield code="g">year:2017</subfield><subfield code="g">pages:8-16</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.foodcont.2017.01.013</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">77</subfield><subfield code="j">2017</subfield><subfield code="h">8-16</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">630</subfield></datafield></record></collection>
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