Food &amp; Drink - Good Manufacturing Practice

Manning,

doi:10.1002/9781118318225

Cited by 3 publications

(2 citation statements)

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“…Cleaning and disinfection of surfaces is an integral part of good manufacturing practice, which is applied in the manufacturing of food, beverages, pharmaceutical products, and medical devices. − In health-care settings, the disinfection of surfaces is of great importance as well, as transmission events of pathogens via health-care workers’ hands from surfaces to patients and vice versa are problematic and can lead to health-care-associated infections . Possible consequences of health-care-associated infections are prolonged hospital stays, additive financial burden, and excess death rates…”

Section: Introductionmentioning

confidence: 99%

“…In order to determine the encapsulation rate and to confirm the successful formation of LNPs encapsulating DNA, 10 μL of DNA in LNPs and 10 μL of blank DNA were each diluted with a 190 μL working solution of the Qubit dsDNA HS kit (Invitrogen, Thermo Fisher Scientific), and its fluorescence was measured in the Qubit Fluorometer 3 (Invitrogen, Thermo Fisher Scientific). The encapsulation rate, which is the fraction of DNA encapsulated within the LNPs, is calculated using the following formula (1) The surface potential of the LNPs was measured using a Zetasizer (Malvern). Additionally, the electron microscope Nova NanoSEM 450 (FEI) was used for imaging (acceleration voltage = 10 kV, mag > 20 000x, STEM II detector).…”

Section: ■ Introductionmentioning

confidence: 99%

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Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Pfuderer

Stark

Grass

2023

ACS Appl. Bio Mater.

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Effective cleaning and disinfection procedures are an integral part of good manufacturing practice and in maintaining hygiene standards in health-care facilities. In this study, a method to validate such cleaning and disinfection procedures of surfaces was established employing lipid nanoparticles (LNPs) encapsulating DNA. It was possible to determine and distinguish between the physical cleaning effect (dilution) and the chemical cleaning effect (disintegration) on the LNPs during the cleaning and disinfection procedure (wiping). After treatment with 70 v % ethanol as a disinfectant and SDS solution as a cleaning agent, LNPs showed log 10 reductions of 4.5 and 4.0, respectively. These values are similar to the log 10 reductions exhibited by common bacteria, such as Escherichia coli and Serratia marcescens. Therefore, LNPs pose as useful tools for cleaning validation with advantages over the already existing tools and enable a separate detection of dilution and chemical disinfectant action.

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Section: Introductionmentioning

confidence: 99%

Section: ■ Introductionmentioning

confidence: 99%

Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Pfuderer

Stark

Grass

2023

ACS Appl. Bio Mater.

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Novel Approach to the Rapid Differentiation of Common <i>Prunus</i> Allergen Species by PCR Product Melt Analysis

Nixon¹,

Hall²,

Wilkes³

et al. 2016

FNS

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Food allergies represent a clear threat to the general health and wellbeing of those affected which place increasing pressure on food producers and regulatory authorities. Current analytical techniques typically find difficulties distinguishing between closely related Prunus species which include almond (Prunus dulcis), an EU listed allergenic species. This study describes a proof of principle real-time PCR approach utilising DNA melt analyses that targets the internal transcribed spacer (ITS) sequence to differentiate between a panel of Prunus test species. The method was successfully applied to the characterisation of a commercial paprika sample suspected of having being adulterated with almond, referred to the UK Government Chemist in 2015 in its advisory capacity. Subject to further validation work, the method appears to specifically amplify Prunus species and is capable of discrimination based on the resultant melt profiles. The developed method provides analysts with a simple and broad molecular tool to identify common Prunus species for food authenticity and allergen testing purposes. Initial development work demonstrates a promising approach with the potential to improve discrimination between Prunus species not easily resolved by routine analytical methods.

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Linking the Kansei Food Model to the General Affective Engineering Model

Schütte

Almagro

2022

IJAE

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The methodology of Kansei Engineering can grasp consumer's subjective affective impressions about a product and turn it into concrete product solutions. The Kansei Food model is a specialized model doing this for food products. The aim of this paper is to interlink it with the more general model on Affective Engineering as well as to validate the findings by applying them in a case study. The general Kansei Engineering model and the Kansei Food model were analyzed, and the key parts of both models merged to a hybrid model. This model is then applied in a study on a development project for chocolate toffee fillings for sport applications. The case yielded valid results and gave an input to a parallel food development process. In conclusion, the Kansei Food model fits together with the general Kansei model. Hence, standardization makes it possible to have a more detailed look on sequential steps. Also, it becomes possible to transfer tools from other branch models (e.g. from automotive industry) in food industry and vice versa.

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Food & Drink - Good Manufacturing Practice

Cited by 3 publications

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Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Novel Approach to the Rapid Differentiation of Common <i>Prunus</i> Allergen Species by PCR Product Melt Analysis

Linking the Kansei Food Model to the General Affective Engineering Model

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Food & Drink - Good Manufacturing Practice

Cited by 3 publications

References 0 publications

Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Synthetic Microbial Surrogates Consisting of Lipid Nanoparticles Encapsulating DNA for the Validation of Surface Disinfection Procedures

Novel Approach to the Rapid Differentiation of Common &lt;i&gt;Prunus&lt;/i&gt; Allergen Species by PCR Product Melt Analysis

Linking the Kansei Food Model to the General Affective Engineering Model

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Product

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Novel Approach to the Rapid Differentiation of Common <i>Prunus</i> Allergen Species by PCR Product Melt Analysis