Liquid crystal-based chemical sensors and biosensors: From sensing mechanisms to the variety of analytical targets

Rouhbakhsh, Zeinab; Huang, Jhih-Wei; Ho, Tsung Yang; Chen, Chih-Hsin

doi:10.1016/j.trac.2022.116820

Cited by 17 publications

(5 citation statements)

References 147 publications

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“…Liquid crystals are widely used as materials for various chemical and biosensors due to the high sensitivity of their molecular orientational ordering to external effects. [94][95][96][97] As a recent topical example, the COVID-19 detectors based on nematic and cholesteric liquid crystals can be considered. 98,99 Liquid crystals are also used in thermography for mapping of temperature and turbulent streaks, [100][101][102] X-ray radiation detection 103 and sunlight ultraviolet.…”

Section: Parsing the Liquid Crystal Director Fieldmentioning

confidence: 99%

Machine learning methods for liquid crystal research: phases, textures, defects and physical properties

Piven,

Darmoroz,

Skorb

et al. 2024

Soft Matter

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Section: Parsing the Liquid Crystal Director Fieldmentioning

confidence: 99%

Machine learning methods for liquid crystal research: phases, textures, defects and physical properties

Piven,

Darmoroz,

Skorb

et al. 2024

Soft Matter

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“…Here, we present an aptamer-CRISPR/Cas12a-regulated liquid crystal sensor (ALICS), which overcomes the above limitations and achieves ultrasensitive, point-of-care detection of protein biomarkers. Due to the optical anisotropy and long-range orientation order of liquid crystal (LC) material, optical response of LC to interfacial chemical and biological events is highly sensitive and can be seen by naked eye. − ALICS combines a highly sensitive optical anisotropy response to external stimuli of LC, highly specific target recognition of aptamers, and highly efficient target-triggered collateral cleavage by CRISPR/Cas12a, which forms a sensing platform that can dual-amplify the signal output by Cas12a and LC to reach a high sensitivity. For the two model proteins, SARS-CoV-2 nucleocapsid protein (N protein) and carcino-embryonic antigen (CEA), ALICS achieved detection limits of 0.4 and 20 pg/mL, respectively, which are beyond the required sensitivity for SARS-CoV-2 early infection diagnosis and the clinical CEA test.…”

Section: Introductionmentioning

confidence: 99%

Ultrasensitive Point-of-Care Detection of Protein Markers Using an Aptamer-CRISPR/Cas12a-Regulated Liquid Crystal Sensor (ALICS)

Qi,

Liu,

Liu

et al. 2024

Anal. Chem.

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Despite extensive efforts, point-of-care testing (POCT) of protein markers with high sensitivity and specificity and at a low cost remains challenging. In this work, we developed an aptamer-CRISPR/Cas12a-regulated liquid crystal sensor (ALICS), which achieved ultrasensitive protein detection using a smartphone-coupled portable device. Specifically, a DNA probe that contained an aptamer sequence for the protein target and an activation sequence for the Cas12a−crRNA complex was prefixed on a substrate and was released in the presence of target. The activation sequence of the DNA probe then bound to the Cas12a−crRNA complex to activate the collateral cleavage reaction, producing a bright-to-dark optical change in a DNAfunctionalized liquid crystal interface. The optical image was captured by a smartphone for quantification of the target concentration. For the two model proteins, SARS-CoV-2 nucleocapsid protein (N protein) and carcino-embryonic antigen (CEA), ALICS achieved detection limits of 0.4 and 20 pg/mL, respectively, which are higher than the typical sensitivity of the SARS-CoV-2 test and the clinical CEA test. In the clinical sample tests, ALICS also exhibited superior performances compared to those of the commercial ELISA and lateral flow test kits. Overall, ALICS represents an ultrasensitive and cost-effective platform for POCT, showing a great potential for pathogen detection and disease monitoring under resource-limited conditions.

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“…1,2 LCPs in the liquid crystalline state can form various ordered structures spontaneously, 3,4 endowing LC materials with excellent photoelectric properties, 5 molding processability, 6 mechanical properties, 7 and stimulus responsiveness. 8 Consequently, LCPs have been widely used in the fields of photoelectric information display, 9 actuation, 10 sensors, 11 elastomers, 12 and controlled self-assembly. 13−16 For LCPs, the reversible LC phase transition from anisotropic to isotropic is highly important and can dictate their properties and application performance, such as thermal stability, 17 mechanical properties, 18 and optical properties.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Liquid crystalline polymers (LCPs) are one type of material that can form a liquid crystalline phase under certain conditions, possessing both the orientational order of low-molecular-weight liquid crystal molecules and the processability of polymers. , LCPs in the liquid crystalline state can form various ordered structures spontaneously, , endowing LC materials with excellent photoelectric properties, molding processability, mechanical properties, and stimulus responsiveness . Consequently, LCPs have been widely used in the fields of photoelectric information display, actuation, sensors, elastomers, and controlled self-assembly. − …”

Section: Introductionmentioning

confidence: 99%

Accurate Detection of Liquid Crystalline Transitions of Cholesteryl-Containing Homopolymers via the Aggregation-Induced Emission of Tetraphenylethylene

He,

Li,

Luo

et al. 2023

Macromolecules

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Since the discovery of the aggregation-induced emission (AIE) phenomenon, it has been widely applied in various fields. Particularly, the emission of AIE moieties is highly sensitive to their molecular packing and very useful to reveal the chain movement of polymers in real time. Herein, we report our attempts to use tetraphenylethylene (TPE) to characterize the liquid crystalline (LC) transitions of cholesteryl-containing homopolymers by monitoring their emission intensity variations versus temperature. However, unlike similar cases aiming for other characteristics of polymers, directly blending TPE molecules into homopolymer matrices markedly disrupted the LC transition. Although the fluorescence intensity variations could decently reveal the glass transition temperature (T g), it exhibited absolutely no sensitivity to the LC transition process. Meanwhile, if the TPE moieties were labeled onto one of the chain ends of homopolymers, the LC transition was untouched, and the transition points determined were identical to those obtained from standard techniques.

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Liquid crystal-based chemical sensors and biosensors: From sensing mechanisms to the variety of analytical targets

Cited by 17 publications

References 147 publications

Machine learning methods for liquid crystal research: phases, textures, defects and physical properties

Machine learning methods for liquid crystal research: phases, textures, defects and physical properties

Ultrasensitive Point-of-Care Detection of Protein Markers Using an Aptamer-CRISPR/Cas12a-Regulated Liquid Crystal Sensor (ALICS)

Accurate Detection of Liquid Crystalline Transitions of Cholesteryl-Containing Homopolymers via the Aggregation-Induced Emission of Tetraphenylethylene

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