Description
Quicksilver
Each 2 mL of Liposomal LipoCalm delivers 350 mg of a proprietary blend of Gamma-aminobutyric acid (as PharmaGABA®), Liquid Skullcap Herb extract (Scutellaria lateriflora), Liquid Passion Flower extract (Passiflora incarnata), and Blue Chamomile Flower oil. A serving size is 4 pumps. Each bottle contains 25 servings.
The elegant centerpiece of this formula is GABA (gamma-aminobutyric acid), the premier ‘calm and connect, rest and repair’ neurotransmitter. Quicksilver Scientific uses a naturally sourced GABA produced via fermentation by Lactobacillushilgardii, found in kimchi, a traditional Korean salted fermented dish. Added in are botanicals and essential oils that also support GABA.
GABA inhibits or slows down nerve impulses, and supplementation has been found to increase calming alpha-wave patterns during challenging mental tasks. Naturally sourced GABA has been shown to promote relaxation and reduce the time to fall asleep as well as increase the time spent in deep sleep.
The three botanicals Skullcap, Passion Flower, and Egyptian Blue Chamomile oil are widely used in European and American traditions to allay tension, soothe the restless mind, and support relaxation.
Because traditional oral formulations of botanicals may have low bioavailability, Christopher Shade, Ph.D., developed liposomal LipoCalm®. Liposomal delivery systems protect molecules from breakdown while enabling more rapid uptake. In addition to exceptional absorption rates, these tiny liposomal and nanoemulsified particles increase diffusion across mucus membranes, enhance lymphatic circulation of nutrients and support cellular delivery. The phosphatidylcholine in liposomes offers a critical building block to lipid-rich brain cells.
Quicksilver Delivery Systems® utilizes modern science to unleash the power of nature. With the world’s most advanced phospholipid delivery systems, Quicksilver Scientific supplements can help to nourish your cells with phosphatidylcholine as they deliver their core effective ingredients faster and more efficiently.
