Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

Guide to Amalgam Separator Filter Capacity [INFOGRAPHIC]

The Environmental Protection Agency (EPA) Dental Amalgam Rule is becoming law in exactly 1 year (July, 2020).  This law requires your dental office to install an amalgam separator. While researching which separator to buy, don’t be mislead by low promotional pricing or free separators. Consider the long term cost of operating that separator for the life of…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Promoted content from HealthFirst on MarketScale.

Share
Guide to Amalgam Separator Filter Capacity [INFOGRAPHIC]

The Environmental Protection Agency (EPA) Dental Amalgam Rule is becoming law in exactly 1 year (July, 2020).  This law requires your dental office to install an amalgam separator. While researching which separator to buy, don’t be mislead by low promotional pricing or free separators. Consider the long term cost of operating that separator for the life of your practice.

After the purchase of an amalgam separator, dentists pay to recycle each filter cartridge. A “one-size-fits-all” system that is incorrectly sized for your practice’s volume can stick you with a high number of costly filter cartridge recycles per year.

To determine your office’s total amount of solid waste that goes down your suction lines and into the separator every year, use this helpful infographic which gives an overview of waste production and separator filter capacity.

Remember, amalgam separator filters not only capture amalgam waste but all particle waste produced during dental cleanings, including prophy paste and air abrasion waste.

View PDF.

For more information about dental amalgam separators please visit our website https://www.healthfirst.com/store/medical-waste-management/amalgam-separators/

HealthFirst

Part of this channel

HealthFirst

Practice-ready solutions for dental and medical offices nationwide.

Visit the channel →

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub