Label-free optical detection of thrombin using a liquid crystal-based aptasensor

Kim, Heesang; An, Zongfu; Jang, Chang‐Hyun

doi:10.1016/j.microc.2018.05.010

Cited by 42 publications

(19 citation statements)

References 71 publications

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“…Hence, LCs can be efficient for naked‐eye target detection with no need for complicated laboratory‐based equipment. Compared to the analytical methods, the LC‐based biosensors are label‐free and portable that converts them to the well‐suited monitoring assays (H. Kim et al, 2018; Verdian et al, 2020; Wang et al, 2019). Recently, the LC‐based biosensors have gained great attention as the new candidates for optical target monitoring, due to the special properties including simple fabrication, great sensitivity, cost‐effectiveness, high response speed, and additional labeling step (Hong & Jang, 2020; H. J. Kim & Jang, 2019; Rouhbakhsh et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Recent advances in computational methods for biosensor design

Khoshbin

Housaindokht

Izadyar

et al. 2020

Biotech & Bioengineering

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Biosensors are analytical tools with a great application in healthcare, food quality control, and environmental monitoring. They are of considerable interest to be designed by using cost‐effective and efficient approaches. Designing biosensors with improved functionality or application in new target detection has been converted to a fast‐growing field of biomedicine and biotechnology branches. Experimental efforts have led to valuable successes in the field of biosensor design; however, some deficiencies restrict their utilization for this purpose. Computational design of biosensors is introduced as a promising key to eliminate the gap. A set of reliable structure prediction of the biosensor segments, their stability, and accurate descriptors of molecular interactions are required to computationally design biosensors. In this review, we provide a comprehensive insight into the progress of computational methods to guide the design and development of biosensors, including molecular dynamics simulation, quantum mechanics calculations, molecular docking, virtual screening, and a combination of them as the hybrid methodologies. By relying on the recent advances in the computational methods, an opportunity emerged for them to be complementary or an alternative to the experimental methods in the field of biosensor design.

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Section: Introductionmentioning

confidence: 99%

“…Hence, LCs can be efficient for naked-eye target detection with no need for complicated laboratory-based equipment. Compared to the analytical methods, the LC-based biosensors are labelfree and portable that converts them to the well-suited monitoring assays (H. Kim et al, 2018;Verdian et al, 2020;Wang et al, 2019).…”

mentioning

confidence: 99%

Recent advances in computational methods for biosensor design

Khoshbin

Housaindokht

Izadyar

et al. 2020

Biotech & Bioengineering

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“…Over the past decade, LCs have shown great potential in chemistry and biosensing fields because of their unique physical and chemical properties. [13][14][15][16][17][18] The main advantage of LC-based sensors is that light signals emitted by sensors can be observed by the naked eye, requiring only one polarizing device without the need for any complicated instrumentation. LC-based sensors have been used to detect a wide variety of substances in the monitoring of reactions.…”

Section: Introductionmentioning

confidence: 99%

Fabrication of Liquid Crystal Droplet Patterns for Monitoring Aldehyde Vapors

Jang

2019

ChemPlusChem

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A sensing method based on the pattern of liquid crystal droplets was developed for detecting and monitoring low levels of organic aldehyde vapors. Exposure of the LC droplet pattern covered with glycine solution to aldehyde vapors induced an optical signal transition from a bright fan shape to a dark cross appearance, as observed by polarized light microscopy. Aldehyde and glycine react at the air/solution interface to form a Schiff‐base compound, which controls the orientation of the LCs and induces a change in the optical signals of the LC droplet pattern. The results show that the glycine/LC droplet pattern system is particularly sensitive and selective to aldehydes. In the actual environment, the sensor is exposed to the aldehyde and the signal transition is completed within a few minutes (2–7 min). The LC‐based method has the advantages of simple construction, easy operation, convenient data reading, and shows excellent prospects for real‐time detection of aldehyde vapors.

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“…In order to illustrate the performances of the sensor, the characteristics of the LC-based sensors were compared to other reported methods. As mentioned before, the pH monitoring sensors mainly include the iodometric method, spectrophotometry, the mercury amount method, and electrochemical methods [25][26][27][28][29][30][31][32][33][34] . Compared to these methods, the sensors we develop are simple, economical, fast, efficient, and can be used for in real-time monitoring for a long time, while and no other aids are needed.…”

Section: Introductionmentioning

confidence: 99%

Liquid-crystal-droplet-based Monitoring System for Water-soluble Inorganic Acidic Gases from the Atmosphere

Jang

2020

BioChip J

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A liquid crystal (LC)-based pH sensor for real-time monitoring of variations in localized pH values near the LC droplets was developed, and its applicability for the detection of acidic gases was explored. It was found that 4-cyano-4′-pentylbiphenyl (5CB), when doped with hexanoic acid (HA), shows a bright-fan-shaped (planar orientation of LCs) to dark-cross (homeotropic orientation of LCs) optical response to a minimal change of the pH value (from 6.5 to 6.6). The fast and intensive pH-driven optical response can be explained mainly with the orientational transitions of 5CB, induced by the protonation and deprotonation of HA at the interface of aqueous/LC droplet. Because of its high pH sensitivity, the LC-based sensor was further exploited for monitoring the local pH changes, which were originated from concentration changes of acidic gases. The results suggested that at an industrial scale/production environment, the sensor shows excellent performance for long-term monitoring and sensing of acidic gases. This type of LC-based sensor may find to fulfill its applicability potential in the trace measurement of acidic gases.

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Label-free optical detection of thrombin using a liquid crystal-based aptasensor

Cited by 42 publications

References 71 publications

Recent advances in computational methods for biosensor design

Recent advances in computational methods for biosensor design

Fabrication of Liquid Crystal Droplet Patterns for Monitoring Aldehyde Vapors

Liquid-crystal-droplet-based Monitoring System for Water-soluble Inorganic Acidic Gases from the Atmosphere

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