Optical Sensor for LDL and HDL Cholesterol Determination
Optical Sensor for LDL and HDL Cholesterol Determination
批准号:
6337576
负责人:
Srivatsa Venkatasubbarao
金额:
$10.0万
依托单位国家:
美国
项目类别:
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-05-01 至 2002-04-30
中文摘要
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英文摘要
DESCRIPTION: (Applicant's abstract) The association between elevated levels of
low-density lipoprotein cholesterol (LDL-C) and an increased risk of premature
coronary heart disease is well established. Further, an increase in the level
of LDL-C with normal levels of cholesterol can result in an increased risk for
coronary heart disease. On the other hand, high-density lipoprotein cholesterol
(HDL-C) is often observed to have a protective effect. The instant cholesterol
measurement kits currently on the market can only measure the total cholesterol
content. They cannot quantify the low-density lipoprotein cholesterol (LDL-C)
and high-density liprotein cholesterol (HDL-C) separately. Intelligent Optical
Systems (IOS), in collaboration with Dr. Karol E. Watson, Co-Director of the
Cholesterol and Lipid Management Center at the Unversity of California, Los
Angeles. seeks to design and construct a low-cost, single-step. self-calibrated
cholesterol sensor for the simultaneous, quantitative determination of LDL-C
and HDL-C from fresh human serum. The proposed sensor is internally calibrated
to account for any errors in the measurement. The innovative optical design and
assay format ensures that the cost of the optical reader will be about $100 and
each test will cost about $2.00. The calibration procedures used in this assay
will make this sensor immune to matrix effects, and serum samples can be
directly tested.
PROPOSED COMMERCIAL APPLICATION:
IOS's cholesterol sensor is expected to accurately, and instantly, report the HDL-C and
LDL-C content. Medical offices and individuals are expected to quickly embrace this
low-cost alternative to lab testing. In addition, it is expected that the development of this
technology will lead to a family of proactive home-health systems and systems that
interact with the patient's medical provider.
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