Member LoginMember Login - User registration - Setup as front page - Add to favorites - Sitemap Chemical and biological methods help restore ancient books in north China !

Chemical and biological methods help restore ancient books in north China

Time:2024-05-21 10:55:53 source:Stellar Signals news portal

Gao Xuemiao binds a restored ancient book at Tianjin Library in north China's Tianjin Municipality, April 22, 2024. (Xinhua/Sun Fanyue)

Tianjin Library is home to a collection of 590,000 ancient books and has conducted ancient book restoration work for over 70 years.

Gao Xuemiao, 38, leads the restoration team at the library. He is the first restoration expert with a background in chemistry since the establishment of the department in 1978.

Nowadays, ancient book restoration is increasingly viewed as a cross-disciplinary process. The incorporation of chemical and biological methods brings the process a more scientific dimension. "We conducted chemical analyses before the restoration process to find the matched paper, and make tailored plans for each ancient book," Gao said.

Gao Xuemiao selects paper samples for ancient book restoration at Tianjin Library in north China's Tianjin Municipality, April 22, 2024. (Xinhua/Sun Fanyue)

Related information
  • Justin Timberlake set to bring his The Forget Tomorrow World Tour to Australia in 2025
  • Program to boost cultural exchanges between China and France
  • 3 dead, 4 missing in explosion at Italy power station
  • China rejects US accusations over normal China
  • Georgia Republicans choose Amy Kremer, organizer of pro
  • Syrian, Russian forces destroy 'terrorist' strongholds in N. Syria
  • Overseas Chinese history museum opens new branch in S. China
  • British and Irish officials meet as tensions rise over what to do with asylum seekers
Recommended content
  • Amtrak train hits pickup truck in upstate New York, 3 dead including child
  • Nvidia to buy Israeli AI company for estimated $700M
  • UN Chinese Language Day celebrated in Tunisia
  • After a near
  • The fightback begins: Boss of London's Queen Mary University tells pro
  • Chinese scientists use machine learning for precise Antarctic sea ice prediction