Massey University Palynology Laboratory
Palynology (the science of pollen) is an inter-disciplinary science that brings together aspects of geography, earth science, plant biology and ecology. Massey operates a world-class palynology laboratory.
Because each plant species produces a distinctive type of pollen, pollen grains contained within ancient sediments, airborne dust, and even the honey you have on your toast for breakfast can be traced back to the plants that produced it.
Quaternary pollen analysis
By extracting ancient pollen preserved in sediments we can reconstruct past vegetation composition and detect how it was changed by natural and anthropogenic impacts.
Pollen processing and extraction from sediments
We provide processing and extraction services from a range of sample types including sediments, honey, and plant and animal samples. Please contact us to discuss your requirements. We can also provide pollen identification, counting and pollen concentration services.
Automated palynology systems
Massey palynologists are leading the way in developing automated palynology systems. A joint project between staff of the School of Engineering and Technology and the School of Agriculture and Environment has resulted in the first holistic automated pollen imaging and classification system, the Classifynder.
Learn more about the Classifynder
Airborne pollen sampling and analysis
Analysis of airborne pollen grains indicates which plants are flowering and provides the basis for pollen forecasts for hay fever and allergy sufferers. The Burkard airborne pollen sampler is used for daily pollen monitoring and assessing the impact of climate change on flowering times.
Floral analysis of honey
Pollen content of honey is used to determine its floral origins. This is important in New Zealand, where there are restrictions on honey imports, and where some honeys command a premium price.
Learn more about the pollen image database we are compiling for New Zealand and Pacific pollen types.
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Last updated on Thursday 22 November 2018