Characterization of laser dye concentrations in ZnO nanostructures for optimization of random laser emission performance

Haider, Adawiya J.; Sultan, Fatima I.; Haider, Mohammed J.; Taha, Bakr Ahmed; Al-Musawi, Sharafaldin; Edan, Mahdi S.; Jassim, Chadeer S.; Arsad, Norhana

doi:10.1142/s021797922450111x

Cited by 7 publications

(5 citation statements)

References 57 publications

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“…In addition, it has been reported that ZnO nanocrystals, nanofilms, nanowires [46], and bulk structures can be used as nonlinear media to obtain higher-frequency conversion efficiencies from nonlinear effects [47,48]. Also, various ZnO-based nanohybrids have been examined for the enhancement of their nonlinear optical interactions [49][50][51][52][53][54][55][56]. In this work, we highlight the importance of describing a fractional model and optically induced electronic behavior with influence on photoconductivity and electronic mechanisms responsible for Kerr nonlinearity.…”

Section: Nanosecond Twm Studiesmentioning

confidence: 99%

Fractional Photoconduction and Nonlinear Optical Behavior in ZnO Micro and Nanostructures

Garcia-de-los-Rios,

Arano-Martínez,

Trejo-Valdez

et al. 2023

Fractal Fract

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A fractional description for the optically induced mechanisms responsible for conductivity and multiphotonic effects in ZnO nanomaterials is studied here. Photoconductive, electrical, and nonlinear optical phenomena exhibited by pure micro and nanostructured ZnO samples were analyzed. A hydrothermal approach was used to synthetize ZnO micro-sized crystals, while a spray pyrolysis technique was employed to prepare ZnO nanostructures. A contrast in the fractional electrical behavior and photoconductivity was identified for the samples studied. A positive nonlinear refractive index was measured on the nanoscale sample using the z-scan technique, which endows it with a dominant real part for the third-order optical nonlinearity. The absence of nonlinear optical absorption, along with a strong optical Kerr effect in the ZnO nanostructures, shows favorable perspectives for their potential use in the development of all-optical switching devices. Fractional models for predicting electronic and nonlinear interactions in nanosystems could pave the way for the development of optoelectronic circuits and ultrafast functions controlled by ZnO photo technology.

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Section: Nanosecond Twm Studiesmentioning

confidence: 99%

Fractional Photoconduction and Nonlinear Optical Behavior in ZnO Micro and Nanostructures

Garcia-de-los-Rios,

Arano-Martínez,

Trejo-Valdez

et al. 2023

Fractal Fract

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“…This integration of optical and microfluidic technologies into biochips underscores their potential for advancing specific and sensitive biosensing applications. [42][43][44] Son, M.H. et al have pioneered the development of optical biochip sensors designed to identify the presence of antibioticresistant bacteria by detecting specific genes associated with antibiotic resistance.…”

Section: Microfluidic Packaging To Engineer Nano-optofluidic Biochips...mentioning

confidence: 99%

Fate of Sniff-the-Diseases Through Nanomaterials-Supported Optical Biochip Sensors

Taha,

Chaudhary,

Rustagi

et al. 2024

ECS J. Solid State Sci. Technol.

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Early diagnosis through noninvasive tools is a cornerstone in the realm of personalized and medical healthcare, averting direct/indirect infection transmission and directly influencing treatment outcomes and patient survival rates. In this context, optical biochip breathomic sensors integrated with nanomaterials, microfluidics, and artificial intelligence exhibit the potential to design next-generation intelligent diagnostics. This cutting-edge tool offers a variety of advantages, including being economical, compact, smart, point of care, highly sensitive, and noninvasive. This makes it an ideal avenue for screening, diagnosing, and prognosing various high-risk diseases/disorders by detecting the associated breath biomarkers. The underlying detection mechanism relies on the interaction of breath biomarkers with sensors, which causes modulations in fundamental optical attributes, such as surface plasmon resonance, fluorescence, reflectance, absorption, emission, phosphorescence, and refractive index. Despite these remarkable attributes, the commercial development of optical biochip breathomic sensors faces challenges, such as insufficient support from clinical trials, concerns about cross-sensitivity, challenges related to production scalability, validation issues, regulatory compliance, and contrasts with conventional diagnostics. This perspective article sheds light on the cutting-edge state of optical breathomic biochip sensors for disease diagnosis, addresses associated challenges, proposes alternative solutions, and explores future avenues to revolutionize personalized and medical healthcare diagnostics.

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“…According to projections, the yearly expenses associated with AMR may escalate to 10 million fatalities and 100 trillion USD by 2050. Therefore, comprehending the evolution and dissemination of AMR is imperative in enhancing the efficacy of antibiotic therapeutic interventions. − …”

Section: Emergence Of Optical Biosensors For Antimicrobial Resistance...mentioning

confidence: 99%

Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis

Taha,

Ahmed,

Talreja

et al. 2024

ACS Synth. Biol.

Self Cite

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Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well as challenges in accurate contagion diagnostics. Addressing AMR requires a strategic approach that emphasizes early stage prevention through screening in clinical, environmental, farming, and livestock settings to identify nonvulnerable antimicrobial agents and the associated genes. Conventional AMR diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, timeconsuming processes, and significant manpower requirements, underscoring the need for intelligent, prompt, and on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)supported smart optical biosensors present a potential solution by facilitating rapid point-of-care AMR detection with real-time, sensitive, and portable capabilities. This Review comprehensively explores various types of optical nanobiosensors, such as surface plasmon resonance sensors, whispering-gallery mode sensors, optical coherence tomography, interference reflection imaging sensors, surface-enhanced Raman spectroscopy, fluorescence spectroscopy, microring resonance sensors, and optical tweezer biosensors, for AMR diagnostics. By harnessing the unique advantages of these nanoenabled smart biosensors, a revolutionary paradigm shift in AMR diagnostics can be achieved, characterized by rapid results, high sensitivity, portability, and integration with Internet-of-Things (IoT) technologies. Moreover, nanoenabled optical biosensors enable personalized monitoring and on-site detection, significantly reducing turnaround time and eliminating the human resources needed for sample preservation and transportation. Their potential for holistic environmental surveillance further enhances monitoring capabilities in diverse settings, leading to improved modern-age healthcare practices and more effective management of antimicrobial treatments. Embracing these advanced diagnostic tools promises to bolster global healthcare capacity to combat AMR and safeguard One Health.

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Characterization of laser dye concentrations in ZnO nanostructures for optimization of random laser emission performance

Cited by 7 publications

References 57 publications

Fractional Photoconduction and Nonlinear Optical Behavior in ZnO Micro and Nanostructures

Fractional Photoconduction and Nonlinear Optical Behavior in ZnO Micro and Nanostructures

Fate of Sniff-the-Diseases Through Nanomaterials-Supported Optical Biochip Sensors

Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis

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