RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Effectiveness of a wool based packaging system on the abundance of surface spoilage microorganisms on fresh meat

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Article
English
2016

Effectiveness of a wool based packaging system on the abundance of surface spoilage microorganisms on fresh meat

0 Datasets

0 Files

English
2016
AL-MUKHTAR JOURNAL OF SCIENCES
Vol 31 (1)
DOI: 10.54172/mjsc.v31i1.214

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Davey L Jones
Davey L Jones

Bangor University

Verified
Rabya A. Lahme
Morris Angela
Simon Curling
+3 more

Abstract

The present study assessed the microbiological quality of meat packaged and stored at room temperature for 40 h in conventional EPS (expanded polystyrene) boxes and cardboard boxes lined with wool using standard, approved culturing techniques. Swabs were taken from a number of areas within the boxes, including the surface of the boxes (at the top, middle and bottom), within the Woolcool® felt fibres, and from condensed liquid found on the surface of meat packs. A lamb breast joint from each box was sampled directly. Plate Count Agar, violet red bile agar, malt extra agar and brilliance E. coli/coliform agar were used to assay bacteria numbers found on the different surfaces. The findings suggest that the wool may have potential market value as packaging liners for transporting meat, and possibly other food products. Further research is needed to allow better characterisation to real-world conditions, and understanding of how wool used as a packaging liner could help maintain food quality on a larger scale.

How to cite this publication

Rabya A. Lahme, Morris Angela, Simon Curling, Ormondroyd. Graham., Davey L Jones, Prysor A. Williams (2016). Effectiveness of a wool based packaging system on the abundance of surface spoilage microorganisms on fresh meat. AL-MUKHTAR JOURNAL OF SCIENCES, 31(1), pp. 34-41, DOI: 10.54172/mjsc.v31i1.214.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Article

Year

2016

Authors

6

Datasets

0

Total Files

0

Language

English

Journal

AL-MUKHTAR JOURNAL OF SCIENCES

DOI

10.54172/mjsc.v31i1.214

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access