Image: specialcollections-blog.lib.cam.ac.uk · rights & removal
Conservation in action: an album of medieval manuscript fragments with links to John Bagford
Reporting by Cambridge University Library Special CollectionsRead the original at specialcollections-blog.lib.cam.ac.uk
Executive Summary
Facts Only
* The project involved MS Add. 5963, a nineteenth-century guard book containing sixty-eight medieval manuscript fragments.
* Fragments date mainly from the 12th to 14th centuries.
* The guard book held a note by John Bagford (1650/51-1716).
* Previous interventions using plastic sleeves caused further deterioration of the paper.
* Fragments were separated and cleaned using moisture and spatula after removing adhered materials.
* Six fragments required humidification using a controlled humidifier to relax creases before reintroducing fold alignment.
* Two fragments (36 and 38) required pigment consolidation using ethanol and isinglass solutions.
* Fragment 19 required a paper repair using wheat starch paste for a loose parchment piece.
* Fragments were encapsulated in polypropylene pockets and reassembled with tackets and a Bondina strip hinge to create "lifting leaves."
* The final result was two separate volumes bound with German mould paper bookblocks, French link stitches, and specialized spine lining materials.
Full Take
From the original · Cambridge University Library Special Collections
Post by Bryan Deighton, Conservator (Books & Paper) at Cambridge University Library Background During 2025 I was given the opportunity to work on MS Add. 5963, a nineteenth century guard book containing sixty-eight medieval manuscript fragments, mainly dating from the 12th to 14th centuries, thanks to a grant from the National Manuscripts Conservation Trust.Read the full story at specialcollections-blog.lib.cam.ac.uk
Sentinel unavailable
The automated check of the source article's wording did not complete, so no result is shown.
This looks only at the wording of the original source article, not at this page's AI-written sections. A small local AI model made this estimate. It has not been checked against known human and machine texts, so treat it as provisional. It cannot show who wrote an article.
