Advances in engineering near-infrared luminescent materials

Jackson, Christopher T.; Jeong, Sanghwa; Dorlhiac, Gabriel; Landry, Markita P.

doi:10.1016/j.isci.2021.102156

Cited by 71 publications

(46 citation statements)

References 136 publications

(107 reference statements)

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“…Such a system may be extended for the NIR fluorescent sensors by replacing VIS fluorescent labels with the NIR fluorescent nanomaterials by appropriate excitations. [106] For example, optimizing the NIR fluorescent nanomaterials in Table 2 may provide excellent candidates for this alternative. However, some of these nanomaterials are not biocompatible after synthesis and require further functionalization.…”

Section: Potential Improvement For the Nir Fluorescent Nanosensorsmentioning

confidence: 99%

Prospects of NIR fluorescent nanosensors for green detection of SARS-CoV-2

Li¹,

Zhou²,

Sun³

et al. 2022

Sensors and Actuators B: Chemical

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Section: Potential Improvement For the Nir Fluorescent Nanosensorsmentioning

confidence: 99%

Prospects of NIR fluorescent nanosensors for green detection of SARS-CoV-2

Li¹,

Zhou²,

Sun³

et al. 2022

Sensors and Actuators B: Chemical

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“…There is a wide application prospect of fluorescence imaging technologies in the biomedical field for the monitoring of physiological and pathological courses at the molecular and cellular levels by right of its intrinsic merits, including high spatiotemporal resolution, favorable sensitivity, and biocompatibility. Particularly, NIR-I emission (650–900 nm) instead of UV or visible fluorescence molecules is interested in applying in vivo fluorescence imaging because of its ability to greatly eliminate autofluorescence, decrease photon scattering, and enhance in-depth tissue penetration ( Liu et al, 2019 ; Ji et al, 2020 ; Jackson et al, 2021 ; Yan et al, 2021 ; Zeng et al, 2021 ). As stated earlier, in vivo fluorescence imaging utilizing NIR light with longer wavelengths (650–900 nm), rather than ultraviolet or visible light, is effective in minimizing interference from biological optical absorbers.…”

Section: Nir-i Fluorescence Imaging Technology For Guided Surgerymentioning

confidence: 99%

“…Fluorescence imaging in the first near-infrared region (NIR-I, 650–900 nm) has received widespread attention in biomedical research studies because of its quick feedback, high sensitivity, harmless radiation, and lower cost ( Liu et al, 2019 ; Ji et al, 2020 ; Jackson et al, 2021 ; Yan et al, 2021 ; Yu et al, 2021 ; Zeng et al, 2021 ). For example, NIR-I fluorophores utilizing reasonable design strategies were extensively used for biomedical usage including precise real-time sentinel lymph nodes/tumor description and intraoperative image-guided surgical resection of sentinel lymph nodes/tumor tissues ( Li et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Recent Progresses in NIR-I/II Fluorescence Imaging for Surgical Navigation

Cheng

et al. 2021

Front. Bioeng. Biotechnol.

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Cancer is still one of the main causes of morbidity and death rate around the world, although diagnostic and therapeutic technologies are used to advance human disease treatment. Currently, surgical resection of solid tumors is the most effective and a prior remedial measure to treat cancer. Although medical treatment, technology, and science have advanced significantly, it is challenging to completely treat this lethal disease. Near-infrared (NIR) fluorescence, including the first near-infrared region (NIR-I, 650–900 nm) and the second near-infrared region (NIR-II, 1,000–1,700 nm), plays an important role in image-guided cancer surgeries due to its inherent advantages, such as great tissue penetration, minimal tissue absorption and emission light scattering, and low autofluorescence. By virtue of its high precision in identifying tumor tissue margins, there are growing number of NIR fluorescence-guided surgeries for various living animal models as well as patients in clinical therapy. Herein, this review introduces the basic construction and operation principles of fluorescence molecular imaging technology, and the representative application of NIR-I/II image-guided surgery in biomedical research studies are summarized. Ultimately, we discuss the present challenges and future perspectives in the field of fluorescence imaging for surgical navigation and also put forward our opinions on how to improve the efficiency of the surgical treatment.

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“…TBS is an innovative and radical identification technology based on fluorescence tracers and an identical detection unit to identify and sort different plastic packaging wastes (Gasde et al 2021). The basic idea of TBS depends on placing a fluorescent marker substance (oxide crystals doped with one of the heavy rare-earth ions such as ytterbium (Yb 3+ ) sensitizer ions, erbium (Er 3+ ), holmium (Ho 3+ ), or thulium (Tm 3+ ) activator ions) on the plastic package, marking either the packaging material itself or the label (Woidasky et al 2020;Jackson et al 2021). After bag opening of collected plastic packaging wastes, these wastes are simultaneously identified by near-infrared (NIR), ultraviolet (UV), or even X-ray detectors and separated and sorted based on the polymer types labeled with the appropriate fluorescent tracers (Woidasky et al 2020;Kusch et al 2021).…”

Section: Sustainable Microplastic Managementmentioning

confidence: 99%

Promising Sustainable Models Toward Water, Air, and Solid Sustainable Management in the View of SDGs

Abdelhafeez

Ramakrishna

2021

Mater Circ Econ

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The last decade has been witnessing overwhelming efforts to achieve social sustainability from mitigating the health and environmental effects to innovative new strategies for sustainable energy production. Those efforts have been devoted to exploiting sustainable materials for handling energy shortage and environmental deterioration to fulfill the Sustainable Development Goals (SDGs). In this article, we engage in those efforts and shed new light on sustainable models applicable to water, air, and solid management from the practical standpoint of SDGs. The first sustainable model is a combination between renewable resources and sustainable materials for the fabrication of biomass/photocatalysts hybrid composites. The green hybrid photocatalysts can be synthesized by electrospinning or 3D techniques. These geometric bio-hybrid photocatalysts are the backbone of the next photocatalytic house model. These houses can significantly participate in the mitigation of climate change via CO 2 capture and conversion to renewable energy and fuels. Furthermore, it anticipates that these photocatalytic houses are capable of participating in the alleviation of acid rain through converting toxic gasses such as nitrogen oxide (NO x ) and sulfur oxide (SO x ) into sustainable products. On the other hand, some suggestions have been raised to face and control microplastic pollution and one of these suggestions is introducing artificial intelligence such as tracer-based sorting as a sustainable strategy solution to enhance the plastic circular economy. The last model relies on optimizing the utilization of Jatropha in the landfill post-closure area toward integrated solid waste management and alternative biofuel production. These models will pave new ways of realizing sustainability.

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Advances in engineering near-infrared luminescent materials

Cited by 71 publications

References 136 publications

Prospects of NIR fluorescent nanosensors for green detection of SARS-CoV-2

Prospects of NIR fluorescent nanosensors for green detection of SARS-CoV-2

Recent Progresses in NIR-I/II Fluorescence Imaging for Surgical Navigation

Promising Sustainable Models Toward Water, Air, and Solid Sustainable Management in the View of SDGs

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