Theoretical Model for a Highly Sensitive Near Infrared Biosensor Based on Bloch Surface Wave with Dirac Semimetal

Zheng, Qiwen; Lu, Wenguang; Dai, Xiaoyu; Tian, Haishan; Jiang, Leyong

doi:10.3390/bios11100390

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Functional near-infrared spectroscopy (fNIRS) is a state-of-the-art optical neuroimaging technique based on near-infrared biosensors that are used to identify stress levels. Physically, fNIRS has the advantage of being more accessible and convenient than other devices [ 9 , 10 , 11 , 12 ]. Additionally, brain hemodynamic responses acquired by fNIRS not only exhibit apparent differences between stressful tasks and rest states but also facilitate stress detection and diagnosis [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

2022

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A stress group should be subdivided into eustress (low-stress) and distress (high-stress) groups to better evaluate personal cognitive abilities and mental/physical health. However, it is challenging because of the inconsistent pattern in brain activation. We aimed to ascertain the necessity of subdividing the stress groups. The stress group was screened by salivary alpha-amylase (sAA) and then, the brain’s hemodynamic reactions were measured by functional near-infrared spectroscopy (fNIRS) based on the near-infrared biosensor. We compared the two stress subgroups categorized by sAA using a newly designed emotional stimulus-response paradigm with an international affective picture system (IAPS) to enhance hemodynamic signals induced by the target effect. We calculated the laterality index for stress (LIS) from the measured signals to identify the dominantly activated cortex in both the subgroups. Both the stress groups exhibited brain activity in the right frontal cortex. Specifically, the eustress group exhibited the largest brain activity, whereas the distress group exhibited recessive brain activity, regardless of positive or negative stimuli. LIS values were larger in the order of the eustress, control, and distress groups; this indicates that the stress group can be divided into eustress and distress groups. We built a foundation for subdividing stress groups into eustress and distress groups using fNIRS.

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Section: Introductionmentioning

confidence: 99%

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

2022

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“…This fact suggests that the enhanced spin shift (greatly decreased R p ) at θ i = 55 • is caused by the surface plasmon resonances of 3DDSs because of their metallic properties. Such kind of surface plasmon resonance behaviors of 3DDSs have been observed in various 3DDS-based structures [32,33].…”

Section: Results and Analysismentioning

confidence: 70%

Photonic spin Hall effect in symmetrical structure containing Dirac semimetal materials

Song¹,

Da²,

Yan³

2022

J. Phys. D: Appl. Phys.

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Dirac semimetal, called three-dimensional graphene, has attraction wide attraction with its adjustable thickness and Fermi energy. However, the performance of photonic spin Hall effect with Dirac semimetal is still unknown. In this work, we establish a symmetrical structure composed of glass prism, three-dimensional Dirac semimetal (3DDS) and Si to study the dependence of spin shift on the thickness and Fermi energy of 3DDS. We find that the magnitude and the position of the spin shift can be controlled by the thickness and Fermi energy of 3DDS, whose maximum positive and negative spin shifts can respectively up

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“…Antimicrobial biomaterials are a new type of biomaterials developed in recent years that exert strong antimicrobial effects on microorganisms through physical and chemical actions [8,9]. Inorganic antimicrobial materials with metal ions have been found to have potent antimicrobial properties.…”

Section: Introductionmentioning

confidence: 99%

Synergistic antibacterial attributes of copper-doped polydopamine nanoparticles: an insight into photothermal enhanced antibacterial efficacy

Hu,

Wu,

Lin

et al. 2024

Nanotechnology

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Antibiotic-resistant bacteria and associated infectious diseases pose a grave threat to human health. The antibacterial activity of metal nanoparticles has been extensively utilized in several biomedical applications, showing that they can effectively inhibit the growth of various bacteria. In this research, copper-doped polydopamine nanoparticles (Cu@PDA NPs) were synthesized through an economical process employing deionized water and ethanol as a solvent. By harnessing the high photothermal conversion efficiency of polydopamine nanoparticles (PDA NPs) and the inherent antibacterial attributes of copper ions, we engineered nanoparticles with enhanced antibacterial characteristics. Cu@PDA NPs exhibited a rougher surface and a higher zeta potential in comparison to PDA NPs, and both demonstrated remarkable photothermal conversion efficiency. Comprehensive antibacterial evaluations substantiated the superior efficacy of Cu@PDA NPs attributable to their copper content. These readily prepared nano-antibacterial materials exhibit substantial potential in infection prevention and treatment, owing to their synergistic combination of photothermal and spectral antibacterial features.

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Theoretical Model for a Highly Sensitive Near Infrared Biosensor Based on Bloch Surface Wave with Dirac Semimetal

Cited by 4 publications

References 33 publications

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

Subdividing Stress Groups into Eustress and Distress Groups Using Laterality Index Calculated from Brain Hemodynamic Response

Photonic spin Hall effect in symmetrical structure containing Dirac semimetal materials

Synergistic antibacterial attributes of copper-doped polydopamine nanoparticles: an insight into photothermal enhanced antibacterial efficacy

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