bioavid Lateral Flow Coconut incl. Hook line

Art. No.: BLH700-15

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Product info

bioavid Lateral Flow Coconut incl. Hook line

Art. No.: BLH700-15

Intended use

The Lateral Flow Coconut (Art. No. BLH700-15) with included hook line from bioavid is an immunochromatographic test for the sensitive and qualitative detection of coconut residues on surfaces (e.g. swab test for the hygiene control in food production lines), in cleansing and process water (CIP water) and food samples. The integrated hook line prevents false negative interpretation of high positive samples.


All for swabbing now included in the kit!

General Information

The coconut palm tree is a native of the tropics. Coconut can be bought fresh or as coconut milk, coconut water, creamed coconut or desiccated coconut. It can be used as an ingredient in baking, ice cream, breakfast cereals and confectionary. It is widely used in South-East Asian cooking. Coconut derived products are also added to many food (incl. cakes, chocolates), some infant formulae and to cosmetics and grooming products. Coconut contaminations in food may elicit allergic reactions in sensitive persons.

Food production lines have to be free of residues to prevent these allergic reactions. The effectiveness of cleaning can be verified by using a Lateral Flow method for coconut detection. In 2006, the FDA added coconuts as a tree nut to the major food allergens list (Food Allergen Labeling and Consumer Protection Act of 2004 (FALCPA)).


Art. NoBLH700-15
Test format15 test strips (15 determinations)
Sample preparation• Surfaces (swabbing): swab surface with PBS-moistened swab and wash out the swab in the reaction vial
• Food samples: homogenize food sample and centrifuge or filter
• Liquid samples (e.g. CIP water): no preparation
Incubation time5 min
Roomtemperature 2 - 25 °C (35 - 77 °F)
LOD (Detection Limit)• Coconut flour (in water): 1 ppm
• Spiked zero matrices: 10 - 20 ppm
• Surfaces (swab samples): ≤ 0.03 µg coconut flour / cm2
• CIP water: 1 ppm
Detected analyte

Coconut residues

EvaluationVisual evaluation