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基于 Arduino 的微流控系统低成本甘油三酯定量酶生物传感器的开发与评价。

Development and Evaluation of a Low-Cost Triglyceride Quantification Enzymatic Biosensor Using an Arduino-Based Microfluidic System.

机构信息

Centro Universitario del Sur, Departamento de Ciencias Computacionales e Innovación Tecnológica, Universidad de Guadalajara, Av. Enrique Arreola Silva No. 883, Colón, Cd Guzmán 49000, Jalisco, Mexico.

Centro Universitario del Norte, Laboratorio de Investigación en Biotecnología, Universidad de Guadalajara, Colotlán 46200, Jalisco, Mexico.

出版信息

Biosensors (Basel). 2023 Aug 17;13(8):826. doi: 10.3390/bios13080826.

DOI:10.3390/bios13080826
PMID:37622912
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10452911/
Abstract

Overweight and obesity promote diabetes and heart disease onset. Triglycerides are key biomarkers for cardiovascular disease, strokes, and other health issues. Scientists have devised methods and instruments for the detection of these molecules in liquid samples. In this study, an enzymatic biosensor was developed using an Arduino-based microfluidic platform, wherein a lipolytic enzyme was immobilized on an ethylene-vinyl acetate polymer through physical adsorption. This low-cost optical biosensor employed a spectrophotometric transducer and was assessed in liquid samples to indirectly detect triglycerides and fatty acids using -nitrophenol as an indicator. The average triglyceride level detected in the conducted experiments was 47.727 mg/dL. The biosensor exhibited a percentage of recovery of 81.12% and a variation coefficient of 0.791%. Furthermore, the biosensor demonstrated the ability to detect triglyceride levels without the need for sample dilution, ranging from 7.6741 mg/dL to 58.835 mg/dL. This study successfully developed an efficient and affordable enzymatic biosensor prototype for triglyceride and fatty acid detection. The lipolytic enzyme immobilization on the polymer substrate provided a stable and reproducible detection system, rendering this biosensor an exciting option for the detection of these molecules.

摘要

超重和肥胖会增加糖尿病和心脏病的发病风险。甘油三酯是心血管疾病、中风和其他健康问题的关键生物标志物。科学家们已经设计出了在液体样本中检测这些分子的方法和仪器。在这项研究中,使用基于 Arduino 的微流控平台开发了一种酶生物传感器,其中通过物理吸附将脂解酶固定在乙烯-醋酸乙烯酯聚合物上。这种低成本的光学生物传感器采用分光光度换能器,并在液体样本中进行评估,使用 - 硝基苯酚作为指示剂间接检测甘油三酯和脂肪酸。在进行的实验中检测到的平均甘油三酯水平为 47.727 毫克/分升。该生物传感器的回收率为 81.12%,变异系数为 0.791%。此外,该生物传感器无需稀释样本即可检测甘油三酯水平,范围从 7.6741 毫克/分升到 58.835 毫克/分升。本研究成功开发了一种用于甘油三酯和脂肪酸检测的高效且经济实惠的酶生物传感器原型。脂解酶固定在聚合物基底上提供了稳定且可重复的检测系统,使该生物传感器成为检测这些分子的一个令人兴奋的选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/75e91df90935/biosensors-13-00826-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/59740f659c3d/biosensors-13-00826-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/15a80909ed23/biosensors-13-00826-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/f5093eb68351/biosensors-13-00826-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/21438aa0d593/biosensors-13-00826-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/e3570cb32c3b/biosensors-13-00826-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/75e91df90935/biosensors-13-00826-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/59740f659c3d/biosensors-13-00826-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/15a80909ed23/biosensors-13-00826-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/f5093eb68351/biosensors-13-00826-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/21438aa0d593/biosensors-13-00826-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/e3570cb32c3b/biosensors-13-00826-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5df9/10452911/75e91df90935/biosensors-13-00826-g006.jpg

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基于水凝胶果胶的甘油三酯光学生物传感器的构建,其中固定化了脂肪酶酶。
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