Literature DB >> 28828428

Nanomaterial-based biosensors for measurement of lipids and lipoproteins towards point-of-care of cardiovascular disease.

Siming Lu1, Tao Yu, Yimin Wang, Liguo Liang, Yu Chen, Feng Xu, ShuQi Wang.   

Abstract

Cardiovascular disease (CVD) has become the primary cause of global deaths and inflicts an enormous healthcare burden on both developed and developing countries. Frequent monitoring of CVD-associated risk factors such as the level of lipids (e.g., triglyceride (TG) and total cholesterol (TC)) and lipoproteins (e.g., low-density lipoprotein (LDL) and high-density lipoprotein (HDL)) can effectively help prevent disease progression and improve clinical outcomes. However, measurement of these risk factors is generally integrated into an automated analyzer, which is prohibitively expensive and highly instrument-dependent for routine testing in primary care settings. As such, a variety of rapid, simple and portable nanomaterial-based biosensors have been developed for measuring the level of lipids (TG and TC) and lipoproteins (LDL and HDL) towards the management of CVD at the point-of-care (POC). In this review, we first summarize traditional methods for measurement of lipids and lipoproteins, and then present the latest advances in developing nanomaterial-based biosensors that can potentially monitor the risk factors of CVD at the POC.

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Year:  2017        PMID: 28828428     DOI: 10.1039/c7an00847c

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  5 in total

Review 1.  Fundamentals and commercial aspects of nanobiosensors in point-of-care clinical diagnostics.

Authors:  Kuldeep Mahato; Pawan Kumar Maurya; Pranjal Chandra
Journal:  3 Biotech       Date:  2018-02-23       Impact factor: 2.406

2.  Biosensors for Personal Mobile Health: A System Architecture Perspective.

Authors:  Siddarth Arumugam; David A M Colburn; Samuel K Sia
Journal:  Adv Mater Technol       Date:  2019-11-20

3.  Evaluation of the value of conventional and unconventional lipid parameters for predicting the risk of diabetes in a non-diabetic population.

Authors:  Guotai Sheng; Maobin Kuang; Ruijuan Yang; Yanjia Zhong; Shuhua Zhang; Yang Zou
Journal:  J Transl Med       Date:  2022-06-11       Impact factor: 8.440

4.  Diode and Active Negative Resistance Behaviors of Helminth Eggs as a Novel Identification/Differentiation Probe.

Authors:  Ruhollah Shaali; Mohammad Mahdi Doroodmand; Mohammad Moazeni
Journal:  ACS Omega       Date:  2021-12-03

5.  Supercapacitance/Resistance Behaviors of Helminth Eggs as Reliable Recognition and Direct Differentiation Probe.

Authors:  Ruhollah Shaali; Mohammad Mahdi Doroodmand; Mohammad Moazeni
Journal:  Front Bioeng Biotechnol       Date:  2021-12-06
  5 in total

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