Identifying wood species isn’t always easy. But Bioeconomy Science Institute Maiangi Taiao researchers have been working to provide information that should help.
They have been investigating the use of mass spectrometry to help make identifying wood species easier for forest owners. The research explores faster, more efficient approaches, using analytical chemistry.
“We use a technique called Direct Analysis in Real Time mass spectrometry to analyse the chemical fingerprint of wood,” says Bioeconomy Science Institute Analytical Chemistry Team Lead, Ilena Isak.
The research has focused on Podocarpus Totara from New Zealand, Eucalyptus Saligna from Australia and Pinus Radiata imported from California and grown in New Zealand. Each species has its own chemical signature, allowing differentiation.
“This analysis technique has potential to support non-experts in identifying wood species – giving us the opportunity to move towards tools that could be used beyond specialist labs.”
New Zealand forestry encompasses a mix of native and exotic species, necessitating precise species identification for sustainable management and compliance with trade regulations. Wood differentiation helps ensure the right resource is being used for the right purpose.
“It improves confidence in wood supply chains, supports compliance and traceability, and enables higher-value uses of timber,” Ilena says. “It also reduces reliance on individual expertise and moves towards more consistent, accessible tools.”
The next steps for the research include expanding datasets, refining the method and working towards more portable and practical applications.
“Ultimately, the goal is to make wood identification faster, more reliable and more widely accessible. We hope to secure funding to help us work towards that goal and build industry interest.”
The research is part of the Bioeconomy Science Institute’s wider work to unlock more value from New Zealand’s natural resources – turning knowledge into practical tools that support a more sustainable, high-value bioeconomy.
