← Science Hub
CaniNectar Research
How We Evaluate CaniNectar Research
CaniNectar research includes laboratory work, microbiome and metabolome analysis, professional field trials and real-world observations. Each type of study answers a different question, so understanding study design and limitations is essential when interpreting the evidence.
Science explainer
CaniNectar / Enzyme Rich Malt Extract research
01
The big question
02
How do scientists study it?
03
What can we measure?
04
What have we learned?
05
Why does this matter?
06
What should we keep in mind?
Further reading
Sources and further reading
References
CaniNectar and Tharos research programme.
The research programme includes laboratory investigation of Enzyme Rich Malt Extract, canine microbiome and metabolome research, professional field trials and working-dog studies.
Different research designs are used to investigate different questions, including enzyme activity, microbial composition, metabolic change and real-world observations.
Study design, sample size, control groups, objective measurements, replication and limitations are considered when interpreting individual findings.
The CaniNectar Science Hub presents research observations alongside study design and limitations so that findings can be understood in context.
The research programme includes laboratory investigation of Enzyme Rich Malt Extract, canine microbiome and metabolome research, professional field trials and working-dog studies.
Different research designs are used to investigate different questions, including enzyme activity, microbial composition, metabolic change and real-world observations.
Study design, sample size, control groups, objective measurements, replication and limitations are considered when interpreting individual findings.
The CaniNectar Science Hub presents research observations alongside study design and limitations so that findings can be understood in context.
Scientific transparency
Microbiome science is complex and continually developing. Our Science Hub aims to explain the evidence clearly without presenting uncertainty as certainty.

