scholarly journals Molecular Rotors with Aggregation-Induced Emission (AIE) as Fluorescent Probes for the Control of Polyurethane Synthesis

Chemosensors ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Pierpaolo Minei ◽  
Giuseppe Iasilli ◽  
Giacomo Ruggeri ◽  
Virgilio Mattoli ◽  
Andrea Pucci
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Relative Viscosity ◽  
Molecular Rotors ◽  
General Validity ◽  
Fluorescent Molecular Rotors ◽  
Methylenediphenyl Diisocyanate ◽  
Viscosity Enhancement ◽  
Two Parameters ◽  
Fluorescence Detection System

In this work, the use of fluorescent molecular rotors such as 9-(2,2-dicyanovinyl)julolidine (DCVJ) and 2,3-bis(4-(phenyl(4-(1,2,2-triphenylvinyl) phenyl)amino)phenyl)fumaronitrile (TPETPAFN) was proposed for the real-time monitoring of polyurethane (PU) formation in a solution of dimethylacetamide starting with 4,4′-methylenediphenyl diisocyanate (MDI) and different polyethylene glycols (PEG400 and PEG600) as diols. Notably, relative viscosity variations were compared with fluorescence changes, recorded as a function of the polymerization progress. The agreement between these two parameters suggested the innovative use of a low-cost fluorescence detection system based on a LED/photodiode assembly directly mountable on the reaction apparatus. The general validity of the proposed experiments enabled the monitoring of polyurethane polymerization and suggested its effective applications to a variety of industrial polymers, showing viscosity enhancement during polymerization.

A low-cost 2D fluorescence detection system for μm sized beads on-chip

Lab on a Chip ◽  
2012 ◽  
Vol 12 (10) ◽  
pp. 1780 ◽  
Author(s):  
Loes I. Segerink ◽  
Maarten J. Koster ◽  
Ad J. Sprenkels ◽  
Albert van den Berg
Keyword(s):  
Fluorescence Detection ◽  
Detection System ◽  
Low Cost ◽  
On Chip ◽  
Fluorescence Detection System

scholarly journals An Alternative Approach to Detecting Cancer Cells by Multi-Directional Fluorescence Detection System Using Cost-Effective LED and Photodiode

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2301
Author(s):  
Kyoungrae Cho ◽  
Jeong-hyeok Seo ◽  
Gyeongyong Heo ◽  
Se-woon Choe
Keyword(s):  
Cancer Cells ◽  
Light Source ◽  
Fluorescence Detection ◽  
Detection System ◽  
Low Cost ◽  
Cost Effective ◽  
Flow Cytometer ◽  
Cell Counting ◽  
Fluorescence Characteristics ◽  
Fluorescence Detection System

The enumeration of cellular proliferation by covering from hemocytometer to flow cytometer is an important procedure in the study of cancer development. For example, hemocytometer has been popularly employed to perform manual cell counting. It is easily achieved at a low-cost, however, manual cell counting is labor-intensive and prone to error for a large number of cells. On the other hand, flow cytometer is a highly sophisticated instrument in biomedical and clinical research fields. It provides detailed physical parameters of fluorescently labeled single cells or micro-sized particles depending on the fluorescence characteristics of the target sample. Generally, optical setup to detect fluorescence uses a laser, dichroic filter, and photomultiplier tube as a light source, optical filter, and photodetector, respectively. These components are assembled to set up an instrument to measure the amount of scattering light from the target particle; however, these components are costly, bulky, and have limitations in selecting diverse fluorescence dyes. Moreover, they require multiple refined and expensive modules such as cooling or pumping systems. Thus, alternative cost-effective components have been intensively developed. In this study, a low-cost and miniaturized fluorescence detection system is proposed, i.e., costing less than 100 US dollars, which is customizable by a 3D printer and light source/filter/sensor operating at a specific wavelength using a light-emitting diode with a photodiode, which can be freely replaceable. The fluorescence detection system can quantify multi-directional scattering lights simultaneously from the fluorescently labeled cervical cancer cells. Linear regression was applied to the acquired fluorescence intensities, and excellent linear correlations (R2 > 0.9) were observed. In addition, the enumeration of the cells using hemocytometer to determine its performance accuracy was analyzed by Student’s t-test, and no statistically significant difference was found. Therefore, different cell concentrations are reversely calculated, and the system can provide a rapid and cost-effective alternative to commercial hemocytometer for live cell or microparticle counting.

scholarly journals Multiple Camera Fluorescence Detection for Real-Time PCR

2021 ◽  
Vol 6 (1) ◽  
pp. 71
Author(s):  
Seul-Bit-Na Koo ◽  
Hyeon-Gyu Chi ◽  
Ji-Sung Park ◽  
Jong-Dae Kim ◽  
Chan-Young Park ◽  
...  
Keyword(s):  
Real Time ◽  
Fluorescence Detection ◽  
Real Time Pcr ◽  
Detection System ◽  
Low Cost ◽  
Dna Amplification ◽  
Multiple Camera ◽  
Open Platform ◽  
Polymerase Chain ◽  
Fluorescence Detection System

The general polymerase chain reaction (PCR) amplifies DNA and analyzes the amplification results of the quantified DNA. Recently, real-time PCR has been developed to detect DNA amplification in various ways. The conventional camera-based system is too expensive and difficult to reduce device size. In this paper, we propose a low-cost, compact fluorescence detection system for real-time PCR systems using an open platform camera. To simplify the optics, four low-cost small cameras were fixedly placed, and the entire tube was divided into four quadrants to minimize the field of view. In addition, an effective image processing method was used to compensate. The proposed system measured the fluorescence detection performance on the basis of the amount of DNA using various fluorescent substances.

NO2-fluorescence detection system using a quartz microchip

2001 ◽  
Vol 121 (9) ◽  
pp. 507-512 ◽  
Author(s):  
Takanori Sato ◽  
Hironori Susaki ◽  
Tetsuo Iwata ◽  
Kentaro Yamamoto ◽  
Tamao Odake ◽  
...  
Keyword(s):  
Fluorescence Detection ◽  
Detection System ◽  
Fluorescence Detection System

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

Development of a method for detecting trace metals in aqueous solutions based on the coordination chemistry of hexahydrotriazines

The Analyst ◽  
2015 ◽  
Vol 140 (15) ◽  
pp. 5184-5189 ◽  
Author(s):  
Rudy J. Wojtecki ◽  
Alexander Y. Yuen ◽  
Thomas G. Zimmerman ◽  
Gavin O. Jones ◽  
Hans W. Horn ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Coordination Chemistry ◽  
Trace Metals ◽  
Aqueous Solutions ◽  
Detection System ◽  
Low Cost ◽  
System P ◽  
Chemical Indicator

The detection of trace amounts (<10 ppb) of heavy metals in aqueous solutions is described using hexahydrotriazines as a chemical indicator and a low cost fluorimeter-based detection system.

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