![@a-Cyclodextrin-modified infrared chemical sensing system that utilizes enzymatic reactions for the determination of glucose [An article from: Analytica Chimica Acta]](https://www.ebooknetworking.net/books/B00/0RR/bigB000RR3IXM.jpg)
@a-Cyclodextrin-modified infrared chemical sensing system that utilizes enzymatic reactions for the determination of glucose [An article from: Analytica Chimica Acta]
Book Details
Author(s)J. Yang, S.C. Liang
PublisherElsevier
ISBN / ASINB000RR3IXM
ISBN-13978B000RR3IX3
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in 2005. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
A new infrared (IR) sensing system based on attenuated total reflection (ATR) to determine the levels of glucose in aqueous solutions was developed in this work. To increase the selectivity of the system, we employed glucose oxidase (GOx) to convert glucose into gluconic acid, which was the actual species detected by the IR-ATR sensor. Because gluconic acid is highly polar and was produced generally in low concentrations, the surface of the IR-ATR sensor was modified with cyclodextrin to increase the sensitivity of its detection. As a result, the sensitivity increased roughly by 100 times relative to that of the unmodified ATR. To simplify the detection system, we immobilized GOx onto the surfaces of glass beads and packed them into a column to function as an enzyme reactor. For comparison, GOx was also immobilized onto the internal surface of fused silica tubing. Glucose can be converted to gluconic acid effectively when passed through a flow system and using either packed or open tubular columns. To optimize the performance of the developed system, we investigated the effects of the pH of the sample solutions and the flow rate used to pump glucose through the system. Our results indicate that the optimal pH for the system was ca. 5; a low pH was required for high-efficiency detection of gluconic acid by the CD phase, but it lowered the efficiency of the enzymatic reactions. The flow rate exerted a small influence on the analytical signals over the examined range of flow rates because of the limited rates of the enzymatic reactions. Under the optimal conditions, the linear regression coefficients in the standard curve can be >0.99 for a concentration range of 1-50mM and a detection time of 2min. In addition, our developed system can be regenerated effectively using aqueous solutions at high pH.
Description:
A new infrared (IR) sensing system based on attenuated total reflection (ATR) to determine the levels of glucose in aqueous solutions was developed in this work. To increase the selectivity of the system, we employed glucose oxidase (GOx) to convert glucose into gluconic acid, which was the actual species detected by the IR-ATR sensor. Because gluconic acid is highly polar and was produced generally in low concentrations, the surface of the IR-ATR sensor was modified with cyclodextrin to increase the sensitivity of its detection. As a result, the sensitivity increased roughly by 100 times relative to that of the unmodified ATR. To simplify the detection system, we immobilized GOx onto the surfaces of glass beads and packed them into a column to function as an enzyme reactor. For comparison, GOx was also immobilized onto the internal surface of fused silica tubing. Glucose can be converted to gluconic acid effectively when passed through a flow system and using either packed or open tubular columns. To optimize the performance of the developed system, we investigated the effects of the pH of the sample solutions and the flow rate used to pump glucose through the system. Our results indicate that the optimal pH for the system was ca. 5; a low pH was required for high-efficiency detection of gluconic acid by the CD phase, but it lowered the efficiency of the enzymatic reactions. The flow rate exerted a small influence on the analytical signals over the examined range of flow rates because of the limited rates of the enzymatic reactions. Under the optimal conditions, the linear regression coefficients in the standard curve can be >0.99 for a concentration range of 1-50mM and a detection time of 2min. In addition, our developed system can be regenerated effectively using aqueous solutions at high pH.
