Infra-Red Plasmonic Sensors

Centeno, Anthony; Aid, Siti Rahmah; Xie, Fang

doi:10.20944/preprints201711.0205.v1

Cited by 2 publications

(2 citation statements)

References 30 publications

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“…To date it, in the literature, an immense use of Au NS and their property dependence upon geometrical and volume effects on the resonance band can be found, and since such geometries are now widely available, new compositions are being used, such as bimetallic NS, with a metal or dielectric core and metallic shell [ 105 , 118 , 119 , 120 , 121 , 122 ]. Although various bimetallic systems have been studied, with AuPd, CuNi and others, Au and Ag combinations are particularly common in the VIS-NIR range [ 123 , 124 , 125 , 126 , 127 , 128 , 129 , 130 , 131 ]. Regarding NIR regime, the authors of [ 118 ] recently published a work with Co-Ag and Co-Au bimetallic alloys studying shapes, sizes and composition dependency.…”

Section: Nanostructuresmentioning

confidence: 99%

Advances in Plasmonic Sensing at the NIR—A Review

Santos

Almeida

Pastoriza‐Santos

et al. 2021

Sensors

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Surface plasmon resonance (SPR) and localized surface plasmon resonance (LSPR) are among the most common and powerful label-free refractive index-based biosensing techniques available nowadays. Focusing on LSPR sensors, their performance is highly dependent on the size, shape, and nature of the nanomaterial employed. Indeed, the tailoring of those parameters allows the development of LSPR sensors with a tunable wavelength range between the ultra-violet (UV) and near infra-red (NIR). Furthermore, dealing with LSPR along optical fiber technology, with their low attenuation coefficients at NIR, allow for the possibility to create ultra-sensitive and long-range sensing networks to be deployed in a variety of both biological and chemical sensors. This work provides a detailed review of the key science underpinning such systems as well as recent progress in the development of several LSPR-based biosensors in the NIR wavelengths, including an overview of the LSPR phenomena along recent developments in the field of nanomaterials and nanostructure development towards NIR sensing. The review ends with a consideration of key advances in terms of nanostructure characteristics for LSPR sensing and prospects for future research and advances in this field.

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Section: Nanostructuresmentioning

confidence: 99%

Advances in Plasmonic Sensing at the NIR—A Review

Santos

Almeida

Pastoriza‐Santos

et al. 2021

Sensors

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“…One of these technologies is nearinfrared spectroscopy that exposes material to near-infrared light (700-3000 nm). UVvisible spectroscopy is widely used to determine organic substances by exposing the objects to visible and ultraviolet light (200-800 nm) and measuring their absorbance [4,7,13].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Young Apple Tree Bud Status with a Visible/Near-Infrared Spectrometer

Botirov¹,

Arakawa²,

Zhang³

2021

Preprint

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Being able to ascertain the physiological condition of the buds on a young apple tree before bud burst could help farmers manage their orchards more efficiently, especially if they could do so without destroying the buds in the process. The experiments carried out in this study were conducted with the aim of distinguishing shoot from non-shoot buds before bud burst using a visible/near-infrared spectrometer, a device that does not destroy the buds being tested. Tests on spring-planted (April 30, 2021) trees were conducted to check shoot and non-shoot bud physiology and the winter dormancy of young ‘Jonagold’, ‘Miyabi Fuji’ and ‘Orin’ apple trees. The light absorbance of the shoot buds before bud burst was much lower than the light absorbance of the non-shoot buds as checked on the visible/near-infrared spectrometer. The highest first factor effect was determined by a PCA test conducted on shoot and non-shoot ‘Jonagold’ buds (99.9%) at a range of 640-652 nm, ‘Miyabi Fuji’ buds (99.7%) at 654-680 nm and ‘Orin’ buds (99.6%) at 704-766 nm seven days before bud burst. We also found that the highest level of accuracy, using the Classifier analysis, between shoot and non-shoot ‘Jonagold’ buds (76.6%) was one day before bud burst, for ‘Miyabi Fuji’ buds (82.1%) it was three days before and for ‘Orin’ buds (76.3%) it was two days before. These findings suggest that growers can more effectively manage the development of the young trees in their orchards with a visible/near-infrared spectrometer.

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Infra-Red Plasmonic Sensors

Cited by 2 publications

References 30 publications

Advances in Plasmonic Sensing at the NIR—A Review

Advances in Plasmonic Sensing at the NIR—A Review

Forecasting Young Apple Tree Bud Status with a Visible/Near-Infrared Spectrometer

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