商品编号


EXOMAX12A-1



品牌


SBI



公司


System Biosciences（SBI）



公司分类


exosome isolation


商品信息

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Overview:
Easier preparation for density gr
ADI
ent ultracentrifugation

For researchers needing highly pure exosomes, sucrose or OptiPrep
?
(iodixanol) density gr
ADI
ent ultracentrifugation are the methods of choice. However, sample preparation prior to the density gr
ADI
ent is a time-consuming and multi-step process. To streamline the pre-density gr
ADI
ent steps,
SBI
has developed ExoMAX
?
Opti Enhancer, an easy-to-use reagent that can move samples to the density gr
ADI
ent in three easy steps.



High purity—supports separation of exosomes from viruses and protein aggregates

High yield—delivers more exosomes than the tr
ADI
tional protocol, start with smaller samples

More hands-free—three simple steps before the density gr
ADI
ent

Flex
IBL
e—compat
IBL
e with downstream bio
Marker
discovery and functional assays

Scalable—pellet exosomes from any volume of conditioned media or biofluid and res
USP
end as needed for the density gr
ADI
ent


“We have tested the ExoMAX reagent. It gave us 5-fold more yield than conventional ultracentrifugation in a side-by-side comparison.”
—Zongdi Feng, Nationwide Children’s Hospital Available only from
SBI
and featured in a recent

How It Works:
Get to the gr
ADI
ent fast


Instead of multiple low speed centrifugation steps followed by a high-speed ultracentrifugation step (left panel), with ExoMAX Opti Enhancer you can simply centrifuge the cell culture medium or biofluid to pellet cellular debris, incubate with ExoMAX Opti Enhancer, centrifuge again, and load the res
USP
ended pellet onto the density gradient—no preliminary high-speed spin necessary (right panel). The resulting exosomes harvested from the density gradient are present in higher amounts compared to standard preparation methods, allowing you to start with smaller sample volumes, and can be easily separated from other co-precipitating particles such as viruses and protein.


The streamlined ExoMAX Opti Enhancer workflow—a better way to get to the gradient
.