Editor’s pick: The perks of being a librarian
Published in Sustainability
If you were asked to think of a risky job, which would you think of?
One could think of war reporters, animal conservationists, or police detectives. Almost certainly, most of us would consider librarians as having one of the safest, maybe even most uneventful professions. Now, reporting at SN Applied Sciences, Alberto Baldelli and colleagues, from the University of British Columbia in Canada, have debunked that idea with a study that shows the risks to which librarians are exposed.
In their interdisciplinary article, the authors show that commonly undertaken activities by librarians, such as packing and unpacking boxes, removing books from the shelves, dusting, cataloguing, conserving and repairing books, photocopying, setting class materials, and walking in a library's main hallway, result in high exposure to airborne mould spores, metal dust, and particulate matter (PM) of different sizes.
Baldelli and co-authors quantitatively and qualitatively analysed the PM emitted while librarians were performing their everyday tasks. Moulds were identified on book surfaces by microscopic examination of cultured samples. Metal dust was collected and six chemical elements were quantified (barium, calcium, magnesium, silver, titanium and zinc) due to their known presence in books and book conservation activities.
The authors found that conservation and repair, book removal from shelves, and unpacking donation boxes produce the highest content of PM. They also identified Penicillium sp. – the fungus that grows on rotten food – on the books of one of the libraries they analysed. Perhaps of more concern, is their finding of levels of silver particles that exceed the exposure limit (0.19 µg/m3) due to the activities of conservation and repair. This could result in a potential risk of certain conditions such as brain ageing, neuroinflammation, stroke, and possibly Alzheimer’s and Parkinson’s disease for librarians. It is therefore fundamental to design libraries with appropriate ventilation systems, especially in the areas where librarians repair and conserve books.
From all these findings, a clear conclusion emerges: more attention has to be devoted to the occupational exposure of librarians. Previously thought of as having the safest job, we now know librarians might be under considerable risk.
Follow the Topic
-
Discover Applied Sciences
This is a multi-disciplinary, peer-reviewed journal for the disciplines of Applied Life Sciences, Chemistry, Earth and Environmental Sciences, Engineering, Materials Science and Physics, fostering sound scientific discovery to solve practical problems.
What are SDG Topics?
An introduction to Sustainable Development Goals (SDGs) Topics and their role in highlighting sustainable development research.
Continue reading announcementRelated Collections
With Collections, you can get published faster and increase your visibility.
Engineering: Artificial Intelligence and Internet of Things for Smart Healthcare and Well-Being
This Collection explores the integration of Internet of Things (IoT) technologies with Artificial Intelligence (AI) and Machine Learning (ML) methods for advancing healthcare, remote monitoring, rehabilitation, and assistive systems. With the rapid expansion of wearable devices, sensing platforms, and connected infrastructures, IoT-driven healthcare provides unique opportunities for early diagnosis, personalized therapy, and improved quality of life. The Collection aims to bring together research on novel algorithms, sensing technologies, system architectures, and clinical applications that leverage IoT and AI to address challenges in scalability, data security, usability, and clinical validation. It seeks to highlight both theoretical advances and practical implementations across diverse medical and health-related domains.
This Collection supports and amplifies research related to SDG 9, SDG 11 and SDG 13.
Keywords: Rehabilitation technology; Wearable Sensors; Assistive devices; Machine Learning; Rehabilitation; Data Security; Artificial Intelligence (AI); Internet of Things (IoT)
Publishing Model: Open Access
Deadline: Feb 28, 2027
Engineering: Machine Learning, AI, and Deep Learning Applications in Microwave Engineering: Devices and Communication
This Topical Collection is dedicated to highlighting the application of Machine Learning (ML), Artificial Intelligence (AI) and Deep Learning (DL) in the field of Microwave Engineering: Devices and Communication. It will concentrate on AI/ML/DL approaches in Microwave Engineering, which includes new breakthroughs, design and performance techniques of various Microwave Devices like Antennas, Filters, Couplers etc. Starting with single/multiband antennas, this topical collection will showcase the application of AI/ML/DL in the design and/or performance features of wideband to super wideband antennas including Multiple-Input-Multiple-Output (MIMO) antenna structures suited for wireless communication.
It will also focus on the use of AI/ML/DL in various aspects of Terrestrial and/or Satellite-based Microwave Communication: Processes, Algorithms and Protocols.
Publishing Model: Open Access
Deadline: Dec 31, 2026