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Sugar Cane

Sugar Cane Analysis

Sugar Cane

We know that online monitoring of sugar cane extraction can improve yields by more than 0.5% leading to savings of more than 300.000 EUR per year.

Where can you analyse

  • Sugar cane raw material Sugar Cane raw material

    Raw material control

    • Get the right payment for suppliers
    • Ensure quality of raw materials such as prepared cane or juice
    • Save time with reduced sample preparation
    • Chemical free analysis for optimal lab safety
  • Sugar cane process Sugar process

    Process control

    • Improve extraction performance
    • Monitor evaporation and sucrose inversion
    • Control crystallisation and centrifuge performance
    • Optimise value of bagasse and molasses
  • Sugar cane final product Sugar Final product

    Final product control

    • Ensure products are within specification
    • Secure brand protection

Are you ready to explore how much you can save in your production by switching to NIR?

Get in touch with our specialists to discuss your potential business value with no strings attached. Let's talk

“The process team can get their results in real-time, immediately so they have the POL of their bagasse and the moisture of the bagasse as soon as we get the sample, just a few seconds later”

The Sugar Cane Growers Cooperative, Florida explains how real-time results with NIR bring value throughout the production process,
from analysis of sugar juice for grower payment to production control of key parameters such as Pol, Colour, Ash and Moisture.
NIRS DA1650

NIRS™ DS2500

Exceptional accuracy for a wide range of raw materials, intermediates and by-products.

 

Get full control of your sugar production. Ensure the quality of incoming raw materials, optimise your production of intermediates and check final product quality.

Learn more

ProFoss™

In-line sugar cane analysis for accurate, real-time measurement in sugar production.

 

The ProFoss™ in-line sugar solution offers continuous monitoring of the sugar cane process using NIR.

Learn more
ProFoss

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