Glucose Test Strips, colorimetric

Method: Colorimetric, with test strips, 50 - 100 - 200 - 300 - 500 - 700 - 1000 - 2000 mg/L (ascorbic acid), MQuant^®

The MQuant^® Glucose test is suitable for determining glucose in fruit juices and food. Under the catalytic effect of glucose oxidase, glucose is converted into gluconic acid lactone. In the presence of peroxidase the hydrogen peroxide formed in the process reacts with an organic redox indicator to form a blue-green dye. The glucose concentration is measured semiquantitatively by visual comparison of the reaction zone of the test strip with the fields of a color scale. The test strips are perfect for pre-testing a sample in an economic and quick way to estimate the glucose concentration and a possible dilution factor prior to using a quantitative method such as a Reflectoquant^® test.

Design for sustainability benefits:

We continue to demonstrate our commitment to our planet and a sustainable future by exploring ways to improve existing products in our portfolio. We have recently reviewed the current line of MQuant^® test strips to identify key opportunities to minimize impact without compromising on the product performance.

This product has benefited from:

• Test strip with reduction
• Recycled aluminum tube
• Digital instruction leaflet

Learn more about the initiative: Small Changes to Test Strips for Big Impact.

• Bifunctional oxidase-peroxidase mimicking Fe-Ce MOF on paper-based analytical devices to intensify luminol chemiluminescence: This research introduces an innovative glucose assay technique using MOF-enhanced paper devices, providing a cost-effective and accessible method for glucose monitoring in resource-limited settings (Hassanzadeh et al., 2024).


• Zinc and Silicon Nano-Fertilizers Influence Ionomic and Metabolite Profiles in Maize to Overcome Salt Stress: In this agricultural research, glucose tests are used to monitor the health and metabolic responses of maize to nano-fertilizer treatment, demonstrating the versatility of glucose assays in environmental and plant science applications (Shoukat et al., 2024).