Burns Sensitive with Fish - 6KG PRBRN195
![]() |
Buy Burns Sensitive with Fish - 6KG PRBRN195
When you make a purchase through links on our site, we may receive a affiliate commission.
Burns Adult & Senior Sensitive - Fish & Wholegrain Maize - 6kg | £26.99 | ![]() | |||
Burns Sensitive with Fish - 6KG PRBRN195 | £32.99 | ![]() | |||
Burns Adult & Senior Sensitive - Fish & Wholegrain Maize - Economy Pack: 2 x 6kg | £47.15 | ![]() |
Burns Sensitive with Fish & Maize Dog Food is made with natural ingredients. Developed by Veterinary Surgeon John Burns. Enriched with Omega fatty acids. Contains wholegrain maize novel carbohydrate. Supports healthy skin and coat; supple joints and immune system. Suitable for sensitive dogs. Low daily feeding costsCompositionWhole Grain Maize (73%); Fish Meal (18%); Peas; Salmon Oil; Sunflower Oil; Seaweed; MineralsAnalytical ConstituentsCrude Protein 18.5%; Crude Fat 7.5%; Crude Fibre 2.5%; Crude Ash 7%; Copper 17mg/kg; Sodium 0.3%; Calcium 1.2%; Phosphorus 0.85%; Magnesium 0.12%; Potassium 0.5%; Omega-6 fatty acids 1.5%; Omega-3 fatty acids 0.45%Nutritional Additives (per kg)Vitamin A 25000IU, Vitamin D3 2000IU, Vitamin E 100IU, Taurine 1000mg; Trace Elements: Copper (copper (II) chelate of amino acids hydrate) 12mg, Iodine (calcium iodate anhydrous) 1mg, Manganese (manganous chelate of amino acids hydrate) 20mg, Zinc (zinc chelate of amino acids hydrate) 50mg, Selenium (3b8.11, Selenised yeast inactivated) 0.2mg.Technological AdditivesAntioxidants (mixed tocopherols).
The product description is generated based on data from online stores. Before purchasing be sure to verify all information directly with the seller.

The Most Interesting Generative AI Trends for 2025Exploring how AI will be used in finance, medicine, education, video games, and creativity

Gadget gift ideas for a girlfriendUseful features and elegant design
How to place an order?How to add store?
Remember that the online store is responsible for the accuracy of information regarding price, warranty, and delivery!
We recommendCompare using chart →