Fluorescence-enhanced microfluidic sensor for highly sensitive in-situ detection of copper ions in lubricating oil

Gao, Yuefeng; Pan, Xinxiang; Xu, Sai; Liu, Zhijian; Wang, Junsheng; Yu, Kezhen; Wang, Chengfa; Yuan, Haichao; Wu, Sen

doi:10.1016/j.matdes.2020.108693

Cited by 29 publications

(16 citation statements)

References 41 publications

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“…For generation of complex concentration gradient profile, “Christmas-tree” based designs (Zhou et al 2009, Dertinger et al 2001) are widely used. It has been used for biological studies including cellular migration (Walker et al 2005), proliferation and neuronal differentiation (Chung et al 2005) and non-biological studies such as chemical synthesis (Hu et al 2020), serial dilution (Ahrar et al 2013, Kim et al 2008), sensors (Kim et al 2015, Gao et al 2020) etc. However, most of the lithography-based templates and respective μCGG are complex and involves multi-step fabrication (Khadpekar et al 2019), thereby increasing cost and time of fabrication.…”

Section: Discussionmentioning

confidence: 99%

“…Microfluidics-based concentration gradient generators (μCGG) are widely used for various chemical and biological studies including chemical synthesis (Hu et al 2020), serial dilution (Ahrar et al 2013, Kim et al 2008), sensors (Kim et al 2015, Gao et al 2020), clinical diagnostics (Campbell et al 2018), chemotaxis (Kim and Wu 2012), drug screening (Chi et al 2016), biochemical assays, etc. μCGG provides precise control over concentration of the active molecule in space and time (Wang et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Scalable large-area mesh-structured microfluidic gradient generator for drug testing applications

Yadav

Tawade

Bachal

et al. 2022

Preprint

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The present work aims to develop a microfluidic device from a square mesh template. The template is fabricated using a recently proposed non conventional lithographyless method of shaping ceramic suspension fluid by controlling Saffman Taylor instability in a Multiport Lifted Hele-Shaw Cell (MLHSC). The microfluidic concentration gradient generator (μCGG) was prepared by soft lithography from fabricated template. The optimum flow rates were determined by COMSOL simulations and validated by creating fluorescein dye (Fluorescein isothiocanate, FITC) gradient in the fabricated μCGG. We then demonstrated the use of this device for drug testing. We created various concentration of an anticancer drug, curcumin, using the device and then determined inhibitory concentration of curcumin on the viability of cervical cancer cell line (HeLa). The result matched well with the conventional drug testing using 96 well plates. Further, shaping of fluid allows change in the number of outlets, which can be utilised to achieve broad range of concentration gradient. Therefore, this method is time efficient, cost effective, uniquely suitable to scale microstructures over a large area, and saves personnel time and can be used as a gradient generator for various biological and non biological applications.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scalable large-area mesh-structured microfluidic gradient generator for drug testing applications

Yadav

Tawade

Bachal

et al. 2022

Preprint

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“…Until this date, the fluorescent probes coupled with carbon-based quantum dots and semiconductor quantum dots have been widely used to detect the metallic ions or specifically Cu 2+ in the lubricating oil (Milindanuth and Pisitsak, 2018; Yu et al , 2018; Yan et al , 2018). Recently, researchers have used the CsPbBr 3 perovskite quantum dots in the fluorescence probe to detect the presence of Cu 2+ (Gao et al , 2020). The device is highly sensitive (8.62 µ M −1 ) and the detection limit up to 0.40 nm.…”

Section: Sensors and Tribologymentioning

confidence: 99%

Sensors and tribological systems: applications for industry 4.0

Rouf

Raina

Haq

et al. 2021

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Purpose The involvement of wear, friction and lubrication in engineering systems and industrial applications makes it imperative to study the various aspects of tribology in relation with advanced technologies and concepts. The concept of Industry 4.0 and its implementation further faces a lot of barriers, particularly in developing economies. Real-time and reliable data is an important enabler for the implementation of the concept of Industry 4.0. For availability of reliable and real-time data about various tribological systems is crucial in applying the various concepts of Industry 4.0. This paper aims to attempt to highlight the role of sensors related to friction, wear and lubrication in implementing Industry 4.0 in various tribology-related industries and equipment. Design/methodology/approach A through literature review has been done to study the interrelationships between the availability of tribology-related data and implementation of Industry 4.0 are also discussed. Relevant and recent research papers from prominent databases have been included. A detailed overview about the various types of sensors used in generating tribological data is also presented. Some studies related to the application of machine learning and artificial intelligence (AI) are also included in the paper. A discussion on fault diagnosis and cyber physical systems in connection with tribology has also been included. Findings Industry 4.0 and tribology are interconnected through various means and the various pillars of Industry 4.0 such as big data, AI can effectively be implemented in various tribological systems. Data is an important parameter in the effective application of concepts of Industry 4.0 in the tribological environment. Sensors have a vital role to play in the implementation of Industry 4.0 in tribological systems. Determining the machine health, carrying out maintenance in off-shore and remote mechanical systems is possible by applying online-real-time data acquisition. Originality/value The paper tries to relate the pillars of Industry 4.0 with various aspects of tribology. The paper is a first of its kind wherein the interdisciplinary field of tribology has been linked with Industry 4.0. The paper also highlights the role of sensors in generating tribological data related to the critical parameters, such as wear rate, coefficient of friction, surface roughness which is critical in implementing the various pillars of Industry 4.0.

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“…In recent years, microfluidics technology has provided powerful tools for detection applications with its portability, miniaturization, automation, multichannel sample detection, minimal treatment of harmful substances, and cost savings [ 10 – 12 ]. The greatest advantage of microfluidics over traditional methods is the creation of a controlled microenvironment that precisely drives and controls microfluidic flow in microchannels, improving detection sensitivity [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review

Wang

et al. 2022

Anal Bioanal Chem

108

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Foodborne diseases caused by pathogenic bacteria pose a serious threat to human health. Early and rapid detection of foodborne pathogens is an urgent task for preventing disease outbreaks. Microfluidic devices are simple, automatic, and portable miniaturized systems. Compared with traditional techniques, microfluidic devices have attracted much attention because of their high efficiency and convenience in the concentration and detection of foodborne pathogens. This article firstly reviews the bio-recognition elements integrated on microfluidic chips in recent years and the progress of microfluidic chip development for pathogen pretreatment. Furthermore, the research progress of microfluidic technology based on optical and electrochemical sensors for the detection of foodborne pathogenic bacteria is summarized and discussed. Finally, the future prospects for the application and challenges of microfluidic chips based on biosensors are presented. Graphical abstract

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Fluorescence-enhanced microfluidic sensor for highly sensitive in-situ detection of copper ions in lubricating oil

Cited by 29 publications

References 41 publications

Scalable large-area mesh-structured microfluidic gradient generator for drug testing applications

Scalable large-area mesh-structured microfluidic gradient generator for drug testing applications

Sensors and tribological systems: applications for industry 4.0

Recent advancements in microfluidic chip biosensor detection of foodborne pathogenic bacteria: a review

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