The Forecast MG, NPA, & HMF report forecasts how the MG, NPA and HMF will change in a honey over time based on initial test results, and assumed constant storage temperatures.
There are 2 standard report formats:
Maximum MG – this report is designed for those with bulk or extracted honey, who want a forecast of the maximum MG and NPA (or UMF) that the honey will reach. The report shows how long it will take to reach the maximum MG at 3 different temperatures, as well as changes over a 12 month period in MG, NPA/UMF, & HMF. Click here to preview the Maximum MG report.
Shelf Life – this report is for those labelling honey with a ‘Best Before’ date, who want a forecast of how the blended honey will change over time at different storage temperatures. Using an initial test result for the packed honey the report forecasts MG, NPA/UMF, & HMF over a 5 year period at 3 storage temperatures. Click here to preview the Shelf Life report.
We can also help with one off requests for Manuka honey forecasting that is different to the standard reports. Contact us to discuss what you need.
Forecasts are produced by a model developed by Analytica, based on repeated testing over time of a series of samples that have been incubated at standard temperatures.
HOW DOES ANALYTICA CONDUCT THE TEST?
Manuka honey 3-in-1 test results (or other valid DHA, MG, NPA and HMF results) are entered into a model developed by Analytica. Forecasts are provided in either a standard report format, or a non-standard format which meets a specific client requirement.
Storage times and temperatures can be changed on request.
HOW DO I request the manuka forecast test?
The Manuka Forecast MG, NPA & HMF test can be requested at any time.
If requesting a report at the same time a sample is being submitted for the Manuka 3-in-1 test, use the Analysis Request Form to indicate which samples require a Forecast Report. If requesting a Forecast Report for a result you already have, use the Analysis Request Form and provide the Laboratory ID of the Manuka 3-in-1 result you wish to base the forecast on.
Alternatively, email us at email@example.com and we will help.