Airborne Everyday Assorted Fruit
About This Product
Airborne Everyday Assorted Fruit is a botanical with nutrients supplement, presented in a gummy format, designed to provide daily vitamin and mineral support. It holds an N+ Score of 75, earning a C+ grade, indicating a good overall quality assessment. This product contains 16 ingredients, with several key vitamins like Vitamin A (2000 IU), Vitamin C (500 mg), Vitamin D (400 IU), Vitamin E (30 IU), and Vitamin B6 (1.3 mg) provided at dosages that research suggests are clinically relevant. However, some minerals such as Magnesium (20 mg) and Manganese (0.5 mg) are present in underdosed amounts compared to typical clinical recommendations. The label transparency is excellent at 100%, providing clear ingredient information. This product may be suitable for individuals seeking a convenient, daily multivitamin option with a focus on immune support.
Strengths
- +Key ingredients at clinically effective doses
- +Fully transparent label with individual ingredient amounts disclosed
- +Broad ingredient diversity exceeding category norms
- +10 ingredient(s) at clinical dose levels
- +Rich formula with 16 active ingredients
Weaknesses
- −Missing several expected ingredients for its category
Ingredient Analysis (16 ingredients)
| Ingredient | Amount | Status |
|---|---|---|
| Calories | 30.000 Calorie(s) | N/A |
| Vitamin B6 | 1.300 mg | Optimal |
| Vitamin B12 | 2.400 mcg | Optimal |
| Biotin | 30.000 mcg | Optimal |
| Pantothenic Acid | 5.000 mg | Optimal |
| Vitamin A | 2000.000 IU | Optimal |
| Vitamin C | 500.000 mg | Optimal |
| Vitamin D | 400.000 IU | Adequate |
| Vitamin E | 30.000 IU | Optimal |
| Magnesium | 20.000 mg | Under |
| Zinc | 8.000 mg | Optimal |
| Selenium | 35.000 mcg | Adequate |
| Manganese | 0.500 mg | Under |
| Total Carbohydrates | 6.000 Gram(s) | N/A |
| Protein | 1.000 Gram(s) | N/A |
| Proprietary Herbal Blend | 35.000 mg | N/A |
Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.