Modificación Química en Fase Sólida de Lipasa B de Candida antarctica para mejorar sus propiedades de actividad, estabilidad y enantioselectividad

Torres-Sáez, Rodrigo

doi:10.18257/raccefyn.163

Cited by 1 publication

(2 citation statements)

References 25 publications

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“…To determine the concentrations of TGs, Glasser et al [ 34 ] devised a method that takes into account three fatty acids released to calculate the activity. In the case of the CalB enzyme, it releases a fatty acid at the sn-1 position of the triglyceride structure [ 35 , 36 ], generating a diacylglycerol [ 37 ].…”

Section: Materials and Methodsmentioning

confidence: 99%

“…This is based on the moles of fatty acids obtained from enzymatic activity in triglyceride calculations [ 34 , 45 ]. According to the literature, the CalB enzyme has a preference for the sn-1 bond in the triglyceride structure [ 35 , 36 ], resulting in the release of a single chain of fatty acids and 2-monoacylglycerol molecules [ 37 ]. Therefore, the calculation for releasing one mole of fatty acid is based on this specificity and multiplied by three to estimate the level of TGs.…”

Section: Materials and Methodsmentioning

confidence: 99%

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

Pliego-Sandoval,

Díaz-Barbosa,

Reyes-Nava

et al. 2023

Biosensors

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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 p-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.

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