Ricci Flow Nutrition Podcast cover image

Ricci Flow Nutrition Podcast

Clark Engelbert: Mineral Balancing, Heavy Metals & HTMA

Apr 18, 2023
01:21:22

Clark is a health practitioner with a particular focus on mineral balancing, or ionomics. He is particularly interested in the use of hair tissue mineral analysis (HTMA) in identifying mineral imbalances and using the synergistic and antagonistic relationships of minerals to restore metabolic balance. The use of HTMA over blood analysis gives some salient advantages in some respects; hair is a tissue sample and can be used to gain a deeper insight into the longer-term status of an individual and their metabolic function.

-

While it has its limitations, HTMA, when interpreted correctly can be extremely helpful in identifying imbalances in the mineral system and establishing protocols to rebalance that system.Clark currently runs Nutritional Analytics where he works with patients from all over the world and helps them deal with heavy metal toxicity and mineral imbalances that are extremely common today. His philosophy is embedded in the teachings and wisdom of soil scientist William Albrecht and physician Paul Eck, who paved the way for our current understanding of mineral interactions in biological systems.

-

Nutritional Analytics: Mineral Balancing Program

Clark's Instagram

-

Follow My Work

Website

Consultation

Instagram

Youtube

Spotify

Apple Podcasts

Linkedin

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode