Literature DB >> 30543816

Cholesterol biosensors: A review.

Vinay Narwal1, Ritu Deswal2, Bhawna Batra3, Vijay Kalra4, Ritu Hooda5, Minakshi Sharma5, J S Rana6.   

Abstract

Cholesterol is the most important sterol synthesized by most of the human cells majorly in the liver. It is a necessary constituent of cell membranes, it acts as a precursor for the synthesis of steroid hormones, vitamin D, and bile acids. Cholesterol is transported in plasma primarily in the form of low-density lipoproteins (LDL), the principal route for its removal from tissues to the liver is in high-density lipoproteins (HDL), followed by excretion in the bile. Cholesterol level is less than 200 mg/dL in healthy persons. 200 and 239 mg/dL is considered borderline high and 240 mg/dL and above is considered a biomarker for cardiovascular diseases, heart attack, strokes, peripheral arterial disease, type 2 diabetes and high blood pressure. Several methods are available for detection of cholesterol, among them, most are burdensome, time-consuming, require sample pre-treatment, high-cost instrumental set-up, and experienced personnel to operate. Biosensing approach overcomes these disadvantages, as these are highly specific, fast, easy, cost-effective, and highly sensitive. The review describes the various cholesterol biosensors. Cholesterol biosensors work ideally within 1 to 300 s, in pH range, 7.0-8.6, temperature 25-37 °C and cholesterol concentration range, 0.000025-700 mM, the detection limits being in the range, 0.000002-4 mM, with working potential -0.05 to 0.65 V. These biosensors measured cholesterol level in fruit juices, beverages, sera and urine samples and reused up to 200 times over a period of 15 to 50 days, while stored dry at 4 °C (Table 1). Future perspective for further improvement and commercialization of cholesterol biosensors are discussed.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biological materials; Cholesterol; Cholesterol biosensors; Cholesterol oxidase; Nanomaterials

Mesh:

Substances:

Year:  2018        PMID: 30543816     DOI: 10.1016/j.steroids.2018.12.003

Source DB:  PubMed          Journal:  Steroids        ISSN: 0039-128X            Impact factor:   2.668


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