Nordic Pure furnace filter 16x25x1 details
Nordic Pure 16x25x1 (15_1/2x24_1/2) Pure Carbon Odor Reduction Furnace Air Filters 4 Pack (16x25x1PCP-4)
Nordic Pure 16x25x1PCP-4 Pure Carbon Odor Reduction Furnace Air Filters 4 Pack – 16x25x1 combine advanced filtration with activated charcoal technology to effectively neutralize odors and airborne contaminants in your home or office. The high-capacity pleated design delivers superior airflow while trapping odors caused by smoke, pets, cooking, and VOCs (volatile organic compounds). Crafted with a sturdy, moisture-resistant beverage board frame and reinforced with a metal mesh grid, these filters offer durability and long-lasting performance. Ideal for residential use as a standalone filter or as part of a multi-stage commercial HVAC system, they provide consistent odor control and improved indoor air quality throughout the year.
Activated charcoal-infused polyester media for enhanced odor removal
High pleat count design provides greater carbon surface area without sacrificing airflow
Effectively captures VOCs, smoke, pet odors, and other airborne smells
Heavy-duty, moisture-resistant frame with metal mesh support for durability
Eliminates common household and office odors
Enhances overall indoor air quality and comfort
Suitable as a stand-alone filter or pre-filter for commercial HVAC systems
Maintains efficient airflow for optimal HVAC operation
Technical Specifications:
Model: 16x25x1PCP-4
Nominal Size: 16" x 25" x 1"
Actual Size: Approximately 15.5" x 24.5" x 0.75"
Filter Type: Pure Carbon Pleated Furnace Air Filter
Quantity: 4 filters per pack
Recommended Replacement: Replace every 30–90 days for optimal odor control
Important Note: Actual filter sizes can vary slightly from nominal dimensions printed on the filter. Always measure your current filter and compare it to the actual size listed here to ensure a proper fit in your HVAC system.
Product identification
- Brand: Nordic Pure
- Model / MPN: 16x25x1PCP-4
Nordic Pure furnace air filter: see the listed specifications for this model.
