Development of a structure-switching aptamer-based nanosensor for salicylic acid detection

Chen, Changtian; Feng, Silu; Zhou, Mian; Ji, Chonghui; Que, Long; Wang, Wei

doi:10.1016/j.bios.2019.111342

Cited by 45 publications

(34 citation statements)

References 38 publications

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“…AAO nanopore structure also has potential for plant hormone detection. For example, plantaptamer (DNA) identification has been achieved using a AAO nanopore structure integrated within a microfluidic device (Chen et al, 2019). That paper introduced a structure-switching aptamer-based nanopore thin-film sensor developed for cost-effective, rapid, sensitive, and simple detection of SA in both buffer and plant extracts.…”

Section: Reflectometric Interference Spectroscopymentioning

confidence: 99%

Advanced Nanoporous Anodic Alumina-Based Optical Sensors for Biomedical Applications

Feng

2021

Front. Nanotechnol.

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Close-packed hexagonal array nanopores are widely used both in research and industry. A self-ordered nanoporous structure makes anodic aluminum oxide (AAO) one of the most popular nanomaterials. This paper describes the main formation mechanisms for AAO, the AAO fabrication process, and optical sensor applications. The paper is focused on four types of AAO-based optical biosensor technology: surface-Enhanced Raman Scattering (SERS), surface Plasmon Resonance (SPR), reflectometric Interference Spectroscopy (RIfS), and photoluminescence Spectroscopy (PL). AAO-based optical biosensors feature very good selectivity, specificity, and reusability.

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Section: Reflectometric Interference Spectroscopymentioning

confidence: 99%

Advanced Nanoporous Anodic Alumina-Based Optical Sensors for Biomedical Applications

Feng

2021

Front. Nanotechnol.

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“…A structure-switching aptamer-based sensor for SA determination was reported in [132], where the identified SA aptamer was incorporated onto a nano-structured Fabry-Perot interference sensor, and the interference fringes of the reflected white light from the sensor were used as transducing signals for SA quantification. The sensor exhibited a detection limit of 0.1 µM with a range of 10 −1 µM to 100 µM, and the sensor was tested for SA determination in rice or Arabidopsis leaf samples.…”

Section: Sa Detectionmentioning

confidence: 99%

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

Kashyap

Kumar

2021

Inventions

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Reducing agricultural losses is an effective way to sustainably increase agricultural output efficiency to meet our present and future needs for food, fiber, fodder, and fuel. Our ever-improving understanding of the ways in which plants respond to stress, biotic and abiotic, has led to the development of innovative sensing technologies for detecting crop stresses/stressors and deploying efficient measures. This article aims to present the current state of the methodologies applied in the field of agriculture towards the detection of biotic stress in crops. Key sensing methodologies for plant pathogen (or phytopathogen), as well as herbivorous insects/pests are presented, where the working principles are described, and key recent works discussed. The detection methods overviewed for phytopathogen-related stress identification include nucleic acid-based methods, immunological methods, imaging-based techniques, spectroscopic methods, phytohormone biosensing methods, monitoring methods for plant volatiles, and active remote sensing technologies. Whereas the pest-related sensing techniques include machine-vision-based methods, pest acoustic-emission sensors, and volatile organic compound-based stress monitoring methods. Additionally, Comparisons have been made between different sensing techniques as well as recently reported works, where the strengths and limitations are identified. Finally, the prospective future directions for monitoring biotic stress in crops are discussed.

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“…Arrayed nanopore-based sensor: using the unique optical property of the nanopore thin film-based RIfS sensor for label-free biodetection [ 82 , 83 ], a chip consisting of arrayed sensors fabricated from the anodic aluminum oxide (AAO) nanopore thin film on a glass substrate has been developed as shown in Figure 6 a [ 84 ]. The Aβ42 antibody or T-tau antibody were immobilized on the chemically functionalized sensing surface ( Figure 6 b).…”

Section: Sensors For Neuro-dds Biomarker Detectionmentioning

confidence: 99%

“…Most of costs eventually will result from the biomolecules such as antibodies in the bioassay. In this regard, the aptamer is emerging as an ideal candidate to replace the antibody for biodetection, given its low cost, stability and reusability [ 72 , 82 ]. Third, multiplexing capability of the chip-based detection is also of great importance.…”

Section: Summary and Future Directionsmentioning

confidence: 99%

On-Chip Detection of the Biomarkers for Neurodegenerative Diseases: Technologies and Prospects

et al. 2020

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Alzheimer’s disease (AD), Parkinson’s disease (PD) and glaucoma are all regarded as neurodegenerative diseases (neuro-DDs) because these diseases are highly related to the degeneration loss of functions and death of neurons with aging. The conventional diagnostic methods such as neuroimaging for these diseases are not only expensive but also time-consuming, resulting in significant financial burdens for patients and public health challenge for nations around the world. Hence early detection of neuro-DDs in a cost-effective and rapid manner is critically needed. For the past decades, some chip-based detection technologies have been developed to address this challenge, showing great potential in achieving point-of-care (POC) diagnostics of neuro-DDs. In this review, chip-based detection of neuro-DDs’ biomarkers enabled by different transducing mechanisms is evaluated.

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Development of a structure-switching aptamer-based nanosensor for salicylic acid detection

Cited by 45 publications

References 38 publications

Advanced Nanoporous Anodic Alumina-Based Optical Sensors for Biomedical Applications

Advanced Nanoporous Anodic Alumina-Based Optical Sensors for Biomedical Applications

Sensing Methodologies in Agriculture for Monitoring Biotic Stress in Plants Due to Pathogens and Pests

On-Chip Detection of the Biomarkers for Neurodegenerative Diseases: Technologies and Prospects

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