Your protocol was rejected with the following message:
From your synthesis strategy it appears that you are intending to conduct an evidence mapping exercise and not a Systematic Review. I am therefore rejecting your protocol and you should submit a new protocol under either 'Systematic Map' or 'other configurative review' or substantially revise to meet the definition of a 'Systematic Review'.
Manuscript NumberPROCEED-23-00084
1. Title (review question)Synergistic Effect of Combination of Microbial Hurdles in the Biopreservation of Meat and Meat Products
2. Type of reviewSystematic Review Protocol
3. Authors and AffiliationsMarcelina Karbowiak (marcelina_karbowiak@sggw.edu.pl), Poland, Warsaw University of Life Sciences
Piotr Szymański (piotr.szymanski@ibprs.pl), Poland, Institute of Agricultural and Food Biotechnology – State Research Institute
Dorota Zielińska (dorota_zielińska@sggw.edu.pl), Poland, Warsaw University of Life Science
4. Corresponding author’s email addressmarcelina_karbowiak@sggw.edu.pl
5. Keywords Combination, Microbial Hurdle Technology, Biopreservation, Meat
6. Background There has been a huge interest in the development of natural antimicrobials or combinations of natural antimicrobials on account of increasing pressure from con-sumers for safe-to-eat and high-quality clean-label food products which are minimally processed and maintains its quality attributes throughout relatively long shelf life. In the meantime, foodborne pathogens pose a threat to international public health and safety. Although meat and meat products are still one of the best nutrient sources for humans due to their excellent protein content, essential amino acids, vitamin B groups, and minerals, as a result of their high water activity and nutrient composition, these products are also an ideal environment for foodborne pathogens, as well as spoilage microorganisms. In response to this need, interest in the meat industry is focused on biopreservation strategies. Biopreservation is the use of natural or controlled primary and/or secondary metabolites or antimicrobials from such sources as bacteria, fungi, plants, and animals, as a way of preserving food (for example minimizing lipid oxidation or reducing colour losses) and extending product shelf life. Alternatively, biopreservative agents could also be used as part of a hurdles technology approach, where they would be strategically combined with other barriers in order to prevent food spoilage. In addition, a preliminary literature search revealed that at present, there were no reviews that have summarized the synergistic effect of the combination of bacterially derived antimicrobials on preventing the growth of pathogenic and spoilage bacteria in the meat product.
6.1 Theory of change or causal model In Europe every year, it is estimated almost one in eight people, become ill due to the consumption of contaminated food each year. Contamination of food can happen anywhere in the food handling process, starting on the farm — and ending on your fork. In view of the numerous positive reports on the antimicrobial effect of biological preservatives of bacterial origin and their possible synergistic effect, this review will aim to present the available knowledge about the combined antimicrobial effect of different microbial hurdles to control the proliferation of undesirable microorganisms in different meat products.
6.2 Stakeholder engagement Expert consultations will be conducted in the first stage of the review process to sharpen the search strategy by determining relevant concepts, frameworks and topics, keywords, and eligibility criteria.
7. Objectives and review question The article will aim to systematically review the available knowledge about the combined antimicrobial effect of different microbial hurdles to control the proliferation of unde-sirable microorganisms in different meat products. Focus Question - what is the effect of using a combination of different bacterial antimicrobials in inhibiting the growth of pathogenic and spoilage bacteria in a meat model? What are the main mechanisms and/or compounds with the potential to be used in biopreservation? How can these bacterial antimicrobials be applied in the industry of meat products?
7.1 Definitions of the question components The Population, Intervention, Control, Outcome (PICO) design methodology will be used to express the key issue. (P)opulation constitutes to meat and meat products, (I)ntervention pertaines to the combination of different bacterial anti-microbials, (C)omparator constitutes to no combination used, single antimicrobial or other agents, and (O)utcome referres to inhibition of growth of pathogenic and spoilage bacteria.
8. Search strategy The search strategy for PubMed and adapted for other databases, as appropriate:
Applied entries with the Boolean Operators:
((meat) OR (poultry) OR (beef) OR (pork) OR (meat AND product*)) AND ((cell-free AND supernatant) OR (supernatant) OR (metabolite*) OR (postbiotic*) OR (bacteriocin-like AND inhibitory AND substance*) OR (BLIS) OR (bacteriocin*) OR (starter AND culture) OR (lactobacillus) OR (lactic AND acid AND bacteria)) AND ((mixed) OR (combination) OR (dual) OR (synerg*)) OR (additivity) AND ((spoilage AND bacteria) OR (antagonistic AND activity) OR (bioprotection) OR (protective AND ability) OR (foodborne AND pathogens) OR (growth AND inhibition) OR (hurdle AND technology) OR (shelf AND life) OR (food AND hygiene) OR (bioprotection))
8.1 Bibliographic databases The following databases will be searched: PubMed, Scopus, and Web of Science with restricted search to the English language. Two of the researchers will design the search algorithms by combining them with the Boolean Operators. The keywords will be carefully selected and tested to enable the widest possible screening of the available, but also relevant literature, in accordance with the methodology of Bramer et al. (2018). The search query will be adjusted to the structure of each database. Searching through databases will containe the title, and abstract of articles (PubMed), the title, abstract of articles and keywords attached to the article by its authors (Scopus), and ‘topic’ which includes title, abstract, author, and keywords (Web of Science).
8.2 Web-based search engines The search engine Google Scholar will be used to identify additional literature that can not be found in the bibliographic databases. We will focus only on the grey literature launched by this search engine.
8.3 Organisational websites Not applicable
8.4 Comprehensiveness of the search The comprehensiveness of our search string was tested using 6-8 papers considered relevant (by the whole team) as an indicator of a successful search. If those key papers, or the majority (at least 6), were returned by the search string, it was considered an optimum. However, if that search string did not return the majority of papers, it was modified.
8.5 Search update We do not plan to update the searches during the map because we anticipate publishing the map report within 12 months of the searches.
9. Screening strategy The following databases will be searched: PubMed, Scopus, and Web of Science with restricted search to the English language. Two of the researchers will design the search algorithms by combining them with the Boolean Operators. The keywords will be carefully selected and tested to enable the widest possible screening of the available, but also relevant literature, in accordance with the methodology of Bramer et al. (2018). The search query will be adjusted to the structure of each database. Searching through databases will containe the title, and abstract of articles (PubMed), the title, abstract of articles and keywords attached to the article by its authors (Scopus), and ‘topic’ which includes title, abstract, author, and keywords (Web of Science). One of the researchers will download the RIS files generated by each database and upload the files to the Rayyan® web application for systematic reviews for organization and screening for identifying further potential articles. Literature titles and abstracts will be also reviewed for duplication across search engines.
9.1 Eligibility criteria Studies will be eligible to be included for analysis if they met the following criteria: (1) published since 2010; (2) experimental in vitro study; (3) referred to the synergistic antibacterial effect of different microorganisms or bacterial metabolites applied in combination to (4) enhance food safety, extend the shelf life, and for biopreservation of contaminated meat and meat products. Exclusion criteria will be: (1) animal studies, human trials, or in vivo studies; (2) unpublished data; (3) duplicate data/publications, (4) reviews, letters, case reports/series, and editorials, and (5) articles without sufficient details on either the antimicrobial agents or the meat application. In order to include a wide range of possible studies, no restrictions will place on the control sample. To that end, studies without a comparator, e.g. without comparing to antimicrobial agents used separately, will be also included. The exclusion criteria will embrace a combination of microbial hurdles with organic acids or salts of organic acids. Despite the fact that e.g. lactic acid and other organic acids are chemical compounds that can be produced by microbial activity, other ways to obtain them are chemical synthesis or acquisition using enzymes. Thus, they are predominantly classified as chemical additives to control microbial growth, improve sensory attributes and extend the shelf life of various food systems including meat, and poultry. Not being 100% sure of their microbial origin, studies, where organic acids and their derivative salts were used in combination with other microbial hurdles for meat biopreservation will be excluded from the review.
9.2 Consistency checking Consistency checking will be undertaken at both screening stages, Title and Abstract, and Full text. Each article will be assessed by one of at least two trained reviewers, who will undertake a consistency check between them, using a subset of double-screened articles (minimum 10%) to maximize the consistency of applying the eligibility criteria. We will use percentage agreements to assess the inter-reviewer consistency of the subset of articles. Discrepancies will be discussed and clarifications in interpreting the eligibility criteria to maximise the consistency for remaining studies. A third reviewer will be consulted if a decision cannot be reached, and clarification on eligibility criteria will be added to aid further decision making. If the inter-reviewer consistency is low, the consistency checking will be repeated using a further subset of articles (minimum 10%), until a good inter-reviewer agreement is achieved, at which point, the rest of the articles will be screened independently, with spot checks to identify any decision drift. Borderline articles will be flagged to other reviewers for discussion.
9.3 Reporting screening outcomes Screening outcomes will be reported in a PRISMA diagram and a list of eligible articles.
10. Study validity assessment The qualitative analysis included studies that met the selection criteria. Accordingly to Guidelines for Systematic Review and Evidence Synthesis in Environmental Management Version 5.1 2022, Collaboration for Environmental Evidence Critical Appraisal Tool Version 0.3 (Prototype) will be applied for evaluating the ‘risk of bias’ (or threats to internal validity) of primary studies assessing the effectiveness of interventions or impacts of exposures in environmental management, since there is no standard risk of bias tool for in vitro studies. The tool is designed for environmental management research such as example pathogen control, which is the subject of the following review. In the CEE tool, seven criteria of systematic bias that may threaten the internal validity of studies were appointed – the risks of con-founding biases, post-intervention/exposure selection biases, misclassified comparison biases (observational studies only) – not applicable, performance biases (experimental studies only), detection biases, outcome reporting biases, and finally outcome assessment biases. Each question will be answered. Assessors may select: 'yes', 'seemingly yes', 'seemingly no', and 'no' answers. Once assessors responded to all checklist questions within a risk-of-bias criterion, they judged a risk of bias for the criterion. The levels of risk of bias were selected from the following: 'low risk of bias', 'medium risk of bias', and 'high risk of bias'.
10.1 Consistency checking Not applicable
11. Data extraction strategy Studies that pass the relevance assessment at the full text will have data extracted into a spreadsheet by a trained reviewer.
11.1 Meta-data extraction and coding strategy Not applicable
11.2 Consistency checking Not applicable
12. Potential effect modifiers/reasons for heterogeneity Not applicable
13. Type of synthesis Narrative only.
13.1 Narrative synthesis methods We will provide a narrative summary of the evidence. The summary will describe the types of studies. We will summarise any information in tables wherever possible (e.g. biopreservative agents, product, target microorganism(s), results, and the effect observed). This will be used to identify and prioritise key knowledge gaps and clusters.
13.2 Quantitative synthesis methods Not applicable
13.3 Qualitative synthesis methods Not applicable
13.4 Other synthesis methods Not applicable
14. Assessment of risk of publication bias Articles will be assessed using a critical appraisal tool for evaluating ‘risk of bias’ (or threats to internal validity) of primary studies assessing the effectiveness of interventions or impacts of exposures in environmental management - Collaboration for Environmental Evidence Critical Appraisal Tool Version 0.3 (Prototype).
15. Knowledge gap identification strategy Not applicable
16. Demonstrating procedural independence To ensure procedural independence, one person will screen the articles and two other team members will double-check that the articles meet the inclusion criteria accurately.
17. Competing interests The authors declare no conflict of interest.
18. Funding information This research received no external funding.
19. Author’s contributions Conceptualization, M.K., P.S. and D.Z.; methodology, M.K.; investigation, M.K.;
resources, M.K.; data curation, M.K.; writing—original draft preparation, M.K.; writing—
review and editing, M.K., P.S. and D.Z.
20. Acknowledgements Not applicable
21. References Not applicable
CreatedFeb 23, 2023
Last updatedApr 2, 2023
SubmittedFeb 23, 2023
Published(not set)
Categories
  • AgricultureFor reviews that will inform decisions in the agrucltural sector
  • Environment and Human Health
  • Sustainability
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