SBIR-STTR Award

Automated Technology For Purification Of Active Ingredients In Natural Products
Award last edited on: 7/11/11

Sponsored Program
SBIR
Awarding Agency
NIH : NCCAM
Total Award Amount
$845,076
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Lucas R Chadwick

Company Information

Wrightwood Technologies Inc (AKA: Cherry Instruments)

3440 South Dearborn Street Suite 242
Chicago, IL 60616
   (312) 238-9512
   contact@wrightwoodtech.com
   www.wrightwoodtech.com
Location: Single
Congr. District: 07
County: Cook

Phase I

Contract Number: 1R43AT004534-01A1
Start Date: 00/00/00    Completed: 00/00/00
Phase I year
2008
Phase I Amount
$99,829
The analysis of complex natural mixtures presents a significant scientific challenge in CAM and other biomedical studies involving natural products and other complex bio/chemical samples, particularly when the need for purification of minor constituents arises. For this reason, its high loading capacity and selectivity has made countercurrent chromatography (CCC) a valuable tool in natural products research. CCC is a low-pressure separation technique, free of solid adsorbents, which provides gentle fractionation along with 100% sample recovery. Further, its frugal use of consumables makes CCC highly economical, both environmentally and fiscally. Unfortunately, utilizing CCC technology can be challenging, as it involves the manual operation of a multi-component system. Successful use of CCC requires specialized training and considerable experience. Automation, as it has for many other technologies, could effectively mitigate this burden. However, to date, challenges imposed by the dynamic nature of its column has prevented such development. Phase I of this STTR project will address these challenges by (1) exploring liquid stationary phase loss of typical CCC instruments, (2) considering the costs and benefits of required electronics and sensing, then (3) constructing an effective apparatus for testing ultimate feasibility. Based on these results, the long-term objective of this project and the ultimate marketable product will be a fully functional push-button CCC controller. Such a machine will not only provide the full separation power of CCC to minimally trained users, but also significantly enhance current capabilities available to experienced users. Automated CCC will provide a significant contribution to the goals of NIH, furthering the capabilities of biomedical researchers in their search to cure human disease. Specifically, the success of this project will be demonstrated by its application to the purification and study of bioactive phytochemicals present in commonly used dietary supplements and that show promise in the fight against tuberculosis.

Public Health Relevance:
Effective chemical separation of natural materials is a fundamental part of biomedical research. The proposed project aims to further develop this technology, making it more functional, efficient, easy to use, and economical. The result will provide researchers with improved access to the materials they require, increasing their productivity, and therefore providing faster discovery of chemistry with benefits for human health.

Public Health Relevance:
This Public Health Relevance is not available.

Thesaurus Terms:
There Are No Thesaurus Terms On File For This Project.

Phase II

Contract Number: 2R44AT004534-02
Start Date: 2/1/10    Completed: 1/31/12
Phase II year
2010
(last award dollars: 2011)
Phase II Amount
$745,247

The analysis of complex natural mixtures presents a significant scientific challenge in biomedical studies involving natural products and other complex biogenic samples, particularly when the need for isolation of minor constituents arises. Countercurrent chromatography (CCC) offers high loading capacity, complete sample recovery, and high purity fractions. It makes use of a gentle liquid stationary phase that prevents degradation of labile samples, and is already a valuable tool in natural products research. CCC separations consume relatively little solvent and don't require the use of expensive solid supports, making them highly economical, both environmentally and fiscally. The frugal use of consumables makes CCC much more [QOUTA]green[QOUTA] than other competing technologies. Determination of partition coefficients (K-values) is a unique analytical capability offered by CCC. However, accurate measurement of analyte partition coefficients with modern CCC instruments requires that sample loading be constrained far below system capacity. With current technology, the unique practical advantages of CCC are essentially lost when the conditions are optimized to determine K- values. In addition, successful use of CCC currently requires specialized training and considerable operator time. Automation, as it has for many other technologies, could effectively mitigate both the academic burden of assimilating decades of key information spread over hundreds of journal articles, and the practical burden of operating a complex multi-component system. Challenges imposed by the dynamic nature of the liquid CCC column had prevented the development of automated CCC until the SBC achieved a breakthrough proof of concept during Phase I of this SBIR project. The long-term objective of this project, and the ultimately marketable product, will be a fully functional automated CCC controller that will provide the separation power of CCC to minimally trained users, as well as enhance current capabilities and provide new functionality to experienced users. Automated CCC will provide a significant contribution to the goals of the National Institutes of Health (NIH), empowering biomedical researchers in their quest to analyze complex bioactive samples and alleviate human disease. The success of this project will be demonstrated by its application to the purification and study of bioactive natural products present in commonly consumed botanical products, one of which has shown promise in the fight against tuberculosis.

Public Health Relevance:
The analysis of highly complex chemical mixtures presents a significant scientific challenge, particularly in biomedical studies involving natural products and other complex biogenic samples. Countercurrent chromatography (CCC) is a technique, originally developed at NIH, which is able to solve many challenges in this area. This SBIR research proposal provides the key piece of technology required to bring the immense potential of CCC's analytical capabilities to realization, empowering biomedical researchers with a much-needed new tool in the arsenal to combat disease through biochemical discovery.

Thesaurus Terms:
Analysis, Data; Area; Automation; Biochemical; Biological Factors; Botanicals; Ccc; Characteristics; Chemicals; Complex; Consumption; Countercurrent Distribution; Data; Data Analyses; Development; Diet Supplement; Dietary Supplements; Disease; Disorder; Environment; Factor, Biologic; Feedback; Future; Goals; It Systems; Information Systems; Information Technology Systems; Investigators; Journal Article; Journal Article (Pt); Journal Article [publication Type]; Knowledge; Liquid Substance; Location; Measurement; Measures; Methods And Techniques; Methods, Other; Minor; Modeling; Monitor; Nih; National Institutes Of Health; National Institutes Of Health (U.S.); Natural Products; Nature; Nutritional Supplement; Partition Coefficient; Performance; Phase; Position; Positioning Attribute; Process; Property; Property, Loinc Axis 2; Recovery; Research; Research Personnel; Research Proposals; Researchers; Retrieval; Running; Sbir; Sbirs (R43/44); Sampling; Small Business Innovation Research; Small Business Innovation Research Grant; Solid; Solvents; System; System, Loinc Axis 4; Systems, Data; Techniques; Technology; Time; Training; Tuberculosis; United States National Institutes Of Health; Base; Chemical Property; Combat; Countercurrent; Countercurrent Chromatography; Data Acquisition; Disease/Disorder; Disseminated Tb; Disseminated Tuberculosis; Empowered; Experience; Fight Against; Fluid; Human Disease; Instrument; Journal Article; Liquid; Meter; Multidisciplinary; Prevent; Preventing; Prototype; Public Health Relevance; Sensor; Success; Tool; Tuberculous Spondyloarthropathy; Virtual