Sensor commercialization and global market

Ulucan‐Karnak, Fulden; Kuru, Cansu İlke; Akgöl, Sinan

doi:10.1016/b978-0-323-90222-9.00002-9

Cited by 9 publications

(1 citation statement)

References 103 publications

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“…In other words, it is also called manmade intelligence. Artificial intelligence is one of the top-growing technologies of today's world (Ulucan-Karnak et al, 2023). Artificial Intelligence (AI) has emerged as a transformative force in the industrial landscape, revolutionizing how businesses operate, make decisions, and drive innovation (Irshad et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

SWOT Analysis of Artificial Intelligence: Empirical Evidence from the Pharmaceutical Industry of Pakistan

2023

plhr

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Article intelligence is the fastest-growing technology globally across all industries. According to the researcher, by the end of 2030, almost 50% of the industry will operate based on artificial intelligence models. This study aims to examine the SWOT analysis of the article Intelligence. A quantitative-based approach was used by SmartPLS to examine this impact. Data was gathered from 300 managerial-level employees of the pharmaceutical industry across Pakistan. This study's results show several strengths, weaknesses, opportunities, and threats to artificial intelligence in the pharmaceutical industry. However, strengths are the highest factors that create a good platform for artificial intelligence to further expand in the pharma industry. While the threats were the least affecting factors for artificial intelligence in the pharma industry of Pakistan.

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Section: Introductionmentioning

confidence: 99%

SWOT Analysis of Artificial Intelligence: Empirical Evidence from the Pharmaceutical Industry of Pakistan

2023

plhr

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Molecularly Imprinted Nanoparticle‐Based Polymer (Acrylamide‐N‐Vinyl imidazole)/Nafion Film Modified Screen‐Printed Electrode System for Rapid Determination of Hemoglobin

Özçelik,

Yaşar,

Güner

et al. 2024

Electroanalysis

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In medical diagnostics, variations in hemoglobin levels can reveal a variety of prevalent health conditions. Abnormal hemoglobin is known to be connected with diseases like anemia, diabetes, hematemesis, hematuria, and hemoglobinuria. Consequently, there is a significant demand for advanced detection technologies and precise methodologies to accurately track and assess hemoglobin levels. This study demonstrates the potential of a novel molecularly imprinted nanoparticle‐based sensor system to rapidly analyze hemoglobin levels without the need for a laboratory environment. Hemoglobin imprinted‐poly(acrylamide‐co‐vinyl imidazole) [Hb‐imp‐p(AAm‐co‐VIM)] nanoparticles with high affinity and selectivity for hemoglobin were synthesized and loaded onto the surface of a screen‐printed carbon electrode (SPCE) with a nafion nanofilm. Nafion has selective ion exchange properties and allows for the enhancement of the electrochemical signal. An increase in signal was observed in the presence of 0.5% Nafion. The Hb‐imp‐p(AAm‐co‐VIM)/Nafion‐SPCE system was employed as the sensor surface for the detection of hemoglobin levels in blood. The Hb‐imp‐p(AAm‐co‐VIM)/Nafion‐SPCE system was characterized by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) measurements. The linear working range for hemoglobin was observed to be 0.73–15.54 μM (R2: 0.9934), with a calculated limit of detection (LoD) value of 0.24 μM (3.3 S/N). The sensor system exhibited high efficiency at the biological pH value of 7.4. Furthermore, percent recovery values for hemoglobin in blood samples were observed to be between 90.34% and 103.68%. To determine the selectivity of the Hb‐imp‐p(AAm‐co‐VIM)/Nafion‐SPCE electrode system, the current values of the system were investigated in the presence of ascorbic acid, cysteine, glucose, and IgG. The system exhibited high selectivity. Based on the data obtained, it is evident that the Hb‐imp‐p(AAm‐co‐VIM)/Nafion‐SPCE system can detect hemoglobin in biological environments and has the potential for use in disease monitoring systems.

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Electrochemical impedance spectroscopic investigation on detection of H2S gas using 2D TiO2/rGO nano-composites

Balasubramani

Vignesh

Liu

et al. 2023

Applied Surface Science Advances

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Sensor commercialization and global market

Cited by 9 publications

References 103 publications

SWOT Analysis of Artificial Intelligence: Empirical Evidence from the Pharmaceutical Industry of Pakistan

SWOT Analysis of Artificial Intelligence: Empirical Evidence from the Pharmaceutical Industry of Pakistan

Molecularly Imprinted Nanoparticle‐Based Polymer (Acrylamide‐N‐Vinyl imidazole)/Nafion Film Modified Screen‐Printed Electrode System for Rapid Determination of Hemoglobin

Electrochemical impedance spectroscopic investigation on detection of H2S gas using 2D TiO2/rGO nano-composites

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