Detection of marker miRNAs in plasma using SOI-NW biosensor

Ivanov, Yu. D.; Pleshakova, Tatyana O.; Malsagova, Kristina A.; Kozlov, Andrey F.; Kaysheva, Anna L.; Shumov, Ivan D.; Galiullin, Rafael A.; Курбатов, Л. К.; Popov, V.; Naumova, O. V.; Fomin, B. I.; Nasimov, D. A.; Aseev, A. L.; Alferov, A.A.; Kushlinsky, N. Е.; Lisitsa, Andrey; Archakov, Alexander I.

doi:10.1016/j.snb.2018.01.153

Cited by 36 publications

(43 citation statements)

References 30 publications

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“…After silanization, the surface of SOI-NW sensor chip was treated with ethanol. e surface of control SOI-NW sensors was additionally modified with DTSSP cross-linker [20,32]. Figure 2 displays the schematic representation of DNP detection with APTESmodified nanowires.…”

Section: Sensor Surface Modificationmentioning

confidence: 99%

“…e optimal solution of this problem is the use of silicon nanowire (NW) field-effect transistor sensors. As the size of a nanowire is comparable with that of a biological macromolecule [16], most attention is paid to the use of silicon-on-insulator nanowire (SOI-NW) sensors for the detection of protein and nucleic acid disease markers [17][18][19][20]; the possibility of application of these sensors for cancer diagnosis in exhaled air was also shown [21]. With respect to biological macromolecules, nanotechnology-based electrochemical methods allow one to attain very low detection limits [22], in contrast to small molecules and ions, when the detection limits are commonly in nanomolar to micromolar range [23].…”

Section: Introductionmentioning

confidence: 99%

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Ultrasensitive Detection of 2,4-Dinitrophenol Using Nanowire Biosensor

Ivanov

Malsagova

Pleshakova

et al. 2018

Journal of Nanotechnology

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The method for the detection of 2,4-dinitrophenol (DNP) in solution is proposed. This method employs the sensors based on silicon nanowire field-effect transistors with protective layers of high-k dielectrics, whose surface is functionalized with an amino silane. Direct highly sensitive detection of DNP has been demonstrated, and the lowest detectable concentration of DNP was determined to be 10−14 M. Silicon-on-insulator nanowire (SOI-NW) sensors can well be employed for the rapid detection of a wide range of toxic and explosive compounds by selection of sensor surface modification techniques.

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Section: Sensor Surface Modificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ultrasensitive Detection of 2,4-Dinitrophenol Using Nanowire Biosensor

Ivanov

Malsagova

Pleshakova

et al. 2018

Journal of Nanotechnology

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“…Modern proteomic and biosensor systems (including chromato-mass-spectrometric and atomic force microscopy (AFM)-based ones, nanowire biosensors, etc.) allow one to detect proteins in water and water solutions with an ultra-high (10 −18 to 10 −15 M) concentration sensitivity [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…In systems for AFM-based fishing, this rate can be of the order of 1 mL/min [8]. The liquid supply can be organized with an even higher flow rate to provide the efficient delivery of the target analyte molecules to the sensitive area of the sensor chip: for instance, in a nanowire system, this rate can achieve tens of milliliters per minute [6]. In analytical systems based on AFM and nanowire detectors, the liquid is supplied into the measuring cell with an injector represented by a plastic tip for an automatic pipette.…”

Section: Introductionmentioning

confidence: 99%

The Dependence of Spontaneous Charge Generation in Water on its Flow Rate in a Flow-Based Analytical System

et al. 2020

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Highly sensitive biosensor systems are particularly sensitive to the charge state of an analyte. This charge state can have either a positive (for instance, in case of increasing the efficiency of fishing of low-abundant proteins) or negative effect (for instance, in case of the appearance of charge jumps upon the injection of analyte solution into a measuring cell, what can cause undesirable parasitic signals). Previously, it was demonstrated that upon the pumping of analyte solution through polymeric communications of biosensors with a peristaltic pump at a low (~1 mL/min) flow rate, an accumulation of charge, transferred by the liquid drops from the feeding system into the measuring cell, is observed. At this point, the time dependence of charge accumulation has a linear-stepwise form. In the present study, the influence of the flow rate of water on the parameters of the time dependence of the accumulation of charge in such a system—including the influence on the stepwise charge accumulation—has been investigated. The measurements have been performed with a highly sensitive electrometer sensor at 38 °C, which corresponds to a pathological state of a human body. It has been found that a linear-stepwise time dependence of charge accumulation is observed in a wide range of water flow rates (V= 0.9 to 7.2 mL/min). At that point, upon increasing the flow rate with the transition from the drop-by-drop mode of water supply (0.9 mL/min) to the jet flow (7.2 mL/min), an increase in the absolute value of accumulated charge is observed, but the magnitude of the charge jumps does not change significantly. Thus, the amount of charge accumulated in the cell ambiguously depends on the water flow rate—i.e., this dependence can be non-linear. Accounting for the discovered phenomenon is important in the development of new, more accurate models describing physicochemical properties of aqueous solutions and hemodynamics. This effect should also be taken into account in the development of highly sensitive diagnostic systems intended for the detection of single biomarkers of pathologies in humans and crops, as well as in other living systems. In low-concentration systems, the occurrence of a charge can become a significant factor affecting the efficiency of detection of biomolecules and the reliability of the data obtained. The detection of biomolecules present in the solution at low concentrations is in high demand in medical diagnostics for the revelation of biomarkers at the early asymptomatic stage of various diseases, including aggressive forms of cancer.

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“…Нанопроволочные сенсоры являются высокочувствительными аналитическими приборами, предназначенными для качественного и количественного анализа биологических и химических веществ [1,2]. Одним из интенсивно развивающихся направлений использования (целевых назначений) таких устройств в настоящее время является создание на их основе электронных детекторов нуклеотидных маркеров социально значимых заболеваний, например, рака легких [3], рака груди [4], инфаркта миокарда, и др.…”

Section: Introductionunclassified

Модификация Поверхности Кни-Сенсоров Для Детекции Рнк-Биомаркеров

Наумова¹,

Фомин²,

Дмитриенко³

et al. 2020

Физика И Техника Полупроводников

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Предложен новый тип модификации поверхности многоканальных сенсоров на основе кремния-на-изоляторе, включающий использование бифункционального реагента карбонилдиимидазола для формирования интерфейсного слоя вместо модифицированных силанов и зондов для специфической детекции фрагментов матричной рибонуклеиновой кислоты тропонина (аналита) в качестве маркера инфаркта миокарда. Исследовано влияние пассивации активированной карбонилдиимидазолом поверхности сенсоров глицином и аминоэтанолом на заключительном этапе модификации на отклик сенсоров и уровень фонового сигнала. Показано, что при пикомолярной концентрации аналита в растворе предложенный тип модификации поверхности с обработкой в глицине обеспечивает высокоспецифичный отклик ~60%. За увеличение отклика и специфичности сенсоров при детекции аналита после пассивации глицином и аминоэтанолом ответственны разные механизмы. Ключевые слова: биосенсор, кремний-на-изоляторе, модификация поверхности.

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Detection of marker miRNAs in plasma using SOI-NW biosensor

Cited by 36 publications

References 30 publications

Ultrasensitive Detection of 2,4-Dinitrophenol Using Nanowire Biosensor

Ultrasensitive Detection of 2,4-Dinitrophenol Using Nanowire Biosensor

The Dependence of Spontaneous Charge Generation in Water on its Flow Rate in a Flow-Based Analytical System

Модификация Поверхности Кни-Сенсоров Для Детекции Рнк-Биомаркеров

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