Creatinine sensitive biosensor based on ISFETs and creatinine deiminase immobilised in BSA membrane

Солдаткин, А. П.; Montoriol, Jean; Sant, W.; Martelet, C.; Jaffrézic‐Renault, Nicole

doi:10.1016/s0039-9140(02)00283-7

Cited by 77 publications

(48 citation statements)

References 21 publications

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“…Â³äîìî [2], ùî êðåàòèí³íäå³ì³íàçà íå ÷óò-ëèâà äî òàêèõ ðå÷îâèí, ÿê êðåàòèí, ñå÷îâèíà, àðã³í³í, ãóàí³äèí, öèòîçèí ìîíîôîñôàò. Êð³ì òîãî, ó ðîáîò³ [30] ïîêàçàíî, ùî ïîòåíö³îìåò-ðè÷íèé á³îñåíñîð íà îñíîâ³ ³ììîá³ë³çîâàíî¿ êðåàòèí³íäå³ì³íàçè õàðàêòåðèçóâàâñÿ äîñèòü âèñîêèì ð³âíåì ñåëåêòèâíîñò³ òà ñïåöèô³÷-íîñò³. Á³îñåíñîðíèõ â³äãóê³â íå áóëî âèÿâëåíî íà òàê³ ðå÷îâèíè, ÿê ñàðêîçèí, ãëþêîçà òà ñå÷î-âèíà ó êîíöåíòðàö³ÿõ, ÿê³ õàðàêòåðí³ äëÿ êðîâ³, ³ â³äãóê á³îñåíñîðà íà êðåàòèí³í çàëèøàâñÿ íåç-ì³ííèì ïðè äîäàâàíí³ ñóì³ø³ öèõ ðå÷îâèí.…”

Section: ðåçóëüòàòè òà ¿õ îáãîâîðåííÿunclassified

Development of Creatinine-Sensitive Biosensor for Medical Application

Марченко¹,

Nazarenko²,

Кукла³

et al. 2009

SEMST

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Section: ðåçóëüòàòè òà ¿õ îáãîâîðåííÿunclassified

Development of Creatinine-Sensitive Biosensor for Medical Application

Марченко¹,

Nazarenko²,

Кукла³

et al. 2009

SEMST

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“…The first example of a potentiometric biosensor for the detection of creatinine was proposed by Meyerhoff and Rechnitz, who used creatinine deiminase (CDI) coupled with an ammonia gas-sensing electrode (Meyerhoff and Rechnitz 1976). Latter, CDI immobilised in a bovine serum albumin (BSA) (Soldatkin et al 2002a) and PVA/SbQ membrane (Soldatkin et al 2002b) was used in combination with ion-sensitive field-effect transistors (ISFETs) for creatinine detection and hemodialysis control (Zinchenko et al 2012). However, these biosensors suffer from the inherent limitations of potentiometry, i.e.…”

Section: Introductionmentioning

confidence: 99%

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

Zhybak

Beni

Vagin

et al. 2016

Biosensors and Bioelectronics

101

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The use of a novel ammonium ion-specific copper-polyaniline nano-composite as transducer for hydrolase-based biosensors is proposed. In this work, a combination of creatinine deaminase and urease has been chosen as a model system to demonstrate the construction of urea and creatinine biosensors to illustrate the principle. Immobilisation of enzymes was shown to be a crucial step in the development of the biosensors; the use of glycerol and lactitol as stabilisers resulted in a significant improvement, especially in the case of the creatinine, of the operational stability of the biosensors (from few hours to at least 3 days). The developed biosensors exhibited high selectivity towards creatinine and urea. The sensitivity was found to be 85 ± 3.4 mAM(-1)cm(-2) for the creatinine biosensor and 112 ± 3.36 mAM(-1)cm(-2) for the urea biosensor, with apparent Michaelis-Menten constants (KM,app), obtained from the creatinine and urea calibration curves, of 0.163 mM for creatinine deaminase and 0.139 mM for urease, respectively. The biosensors responded linearly over the concentration range 1-125 µM, with a limit of detection of 0.5 µM and a response time of 15s. The performance of the biosensors in a real sample matrix, serum, was evaluated and a good correlation with standard spectrophotometric clinical laboratory techniques was found.

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“…Using only a single ISFET sensor, various enzymes such as urease [22], [23], creatinine deiminase [24], and glucose oxidase [25] have been used to modify the surface of the ISFET gate to be sensitive towards a specific substrate. Nevertheless, enzyme kinetics (i.e.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Circuit for Chip-Based Analysis of Enzyme Kinetics and Metabolite Quantification

Cheah

MacDonald

Martin

et al. 2016

IEEE Trans. Biomed. Circuits Syst.

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Abstract-We have created a novel chip-based diagnostic tools based upon quantification of metabolites using enzymes specific for their chemical conversion. Using this device we show for the first time that a solid-state circuit can be used to measure enzyme kinetics and calculate the Michaelis-Menten constant. Substrate concentration dependency of enzyme reaction rates is central to this aim. Ion-sensitive field effect transistors (ISFET) are excellent transducers for biosensing applications that are reliant upon enzyme assays, especially since they can be fabricated using mainstream microelectronics technology to ensure low unit cost, mass-manufacture, scaling to make many sensors and straightforward miniaturisation for use in point-of-care devices. Here, we describe an integrated ISFET array comprising 2 16 sensors. The device was fabricated with a complementary metal oxide semiconductor (CMOS) process. Unlike traditional CMOS ISFET sensors that use the Si 3 N 4 passivation of the foundry for ion detection, the device reported here was processed with a layer of Ta 2 O 5 that increased the detection sensitivity to 45 mV/pH unit at the sensor readout. The drift was reduced to 0.8 mV/hour with a linear pH response between pH 2 -12. A high-speed instrumentation system capable of acquiring nearly 500 fps was developed to stream out the data. The device was then used to measure glucose concentration through the activity of hexokinase in the range of 0.05 mM -231 mM, encompassing glucose's physiological range in blood. Localised and temporal enzyme kinetics of hexokinase was studied in detail. These results present a roadmap towards a viable personal metabolome machine. Index Terms-Biosensor, CMOS, electrochemical sensor, enzyme kinetics, hexokinase, ion-sensitive field effect transistors (ISFET), metabolomics, point-of-care (POC) diagnostics.

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Creatinine sensitive biosensor based on ISFETs and creatinine deiminase immobilised in BSA membrane

Cited by 77 publications

References 21 publications

Development of Creatinine-Sensitive Biosensor for Medical Application

Development of Creatinine-Sensitive Biosensor for Medical Application

Creatinine and urea biosensors based on a novel ammonium ion-selective copper-polyaniline nano-composite

An Integrated Circuit for Chip-Based Analysis of Enzyme Kinetics and Metabolite Quantification

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