scholarly journals Rapid Screening of Butyl Paraben Additive in Toner Sample by Molecularly Imprinted Photonic Crystal

Chemosensors ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 314
Author(s):  
Yangyang Liu ◽  
Hang Gu ◽  
Jiahua He ◽  
Anqi Cui ◽  
Xiaoyi Wu ◽  
...  
Keyword(s):  
Photonic Crystal ◽  
Molecular Imprinting ◽  
Standard Addition ◽  
Bragg Diffraction ◽  
Rapid Screening ◽  
Diffraction Spectrum ◽  
Visual Sensor ◽  
Color Changes ◽  
Molecular Imprinting Technology ◽  
The Face

In consideration of the endocrine disrupting effects caused by the butyl paraben (BP), a portable visual sensor has been developed based on the photonic crystal and molecular imprinting technology for the rapid screen of BP in toner sample, which is a type of aqueous cosmetic to soften the face skin. By integrating the self-reporting and molecular recognition properties, the molecular imprinting photonic crystal (MIPC) sensor can display obvious color changes regularly according to the concentration of BP. Based on the “color guide”, the content of BP in toner sample can be estimated directly with the naked eye. In addition, the Bragg diffraction spectrum of MIPC can red shift linearly with the increase of the concentration of BP in sample solution with correlation coefficient as 0.9968. The quantitative determination of BP can be achieved through the optical fiber spectrometer with detection limit as 0.022 mmol·L−1. With good selectivity, this MIPC film can recognize BPs against the complex sample matrix, showing a standard addition recovery of 107% for the real samples.

Molecular Imprinted Photonic Crystal Sensor for the Rapid and Visual Detection of Benzocaine in Fish

2019 ◽  
Vol 803 ◽  
pp. 129-133
Author(s):  
Shi Li Chen ◽  
Hui Sun ◽  
Zhen Jian Huang ◽  
Si Yang Fang ◽  
Jia Hua He ◽  
...  
Keyword(s):  
Photonic Crystal ◽  
Detection Limit ◽  
Molecular Imprinting ◽  
Visual Detection ◽  
Real Sample ◽  
Fish Sample ◽  
Optical Signals ◽  
Color Changes ◽  
Molecular Imprinting Technique

A “smart” molecular imprinted photonic crystal (MIPC) sensor has been developed based on the combination of photonic crystal (PC) and molecular imprinting technique (MIT). It can give rise to readable optical signals and color changes upon sensing benzocaine with detection limit of 16.5 μg/ml. In fish sample detection, the developed MIPC sensor shows satisfied result accuracy with HPLC. With the advantage of satisfactory specificity, rapid responsiveness and excellent recoverability, this MIPC material shows great potential towards on-site screening and visual detection of trace benzocaine in real sample.

scholarly journals IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

2021 ◽  
Vol 11 (8) ◽  
pp. 3495
Author(s):  
Shabir Hussain ◽  
Yang Yu ◽  
Muhammad Ayoub ◽  
Akmal Khan ◽  
Rukhshanda Rehman ◽  
...  
Keyword(s):  
Deep Learning ◽  
Low Cost ◽  
Face Mask ◽  
World Health ◽  
Rapid Screening ◽  
Screening System ◽  
Source Of Infection ◽  
The Face ◽  
Health Organization ◽  
Vaccine Distribution

The spread of COVID-19 has been taken on pandemic magnitudes and has already spread over 200 countries in a few months. In this time of emergency of COVID-19, especially when there is still a need to follow the precautions and developed vaccines are not available to all the developing countries in the first phase of vaccine distribution, the virus is spreading rapidly through direct and indirect contacts. The World Health Organization (WHO) provides the standard recommendations on preventing the spread of COVID-19 and the importance of face masks for protection from the virus. The excessive use of manual disinfection systems has also become a source of infection. That is why this research aims to design and develop a low-cost, rapid, scalable, and effective virus spread control and screening system to minimize the chances and risk of spread of COVID-19. We proposed an IoT-based Smart Screening and Disinfection Walkthrough Gate (SSDWG) for all public places entrance. The SSDWG is designed to do rapid screening, including temperature measuring using a contact-free sensor and storing the record of the suspected individual for further control and monitoring. Our proposed IoT-based screening system also implemented real-time deep learning models for face mask detection and classification. This module classified individuals who wear the face mask properly, improperly, and without a face mask using VGG-16, MobileNetV2, Inception v3, ResNet-50, and CNN using a transfer learning approach. We achieved the highest accuracy of 99.81% while using VGG-16 and the second highest accuracy of 99.6% using MobileNetV2 in the mask detection and classification module. We also implemented classification to classify the types of face masks worn by the individuals, either N-95 or surgical masks. We also compared the results of our proposed system with state-of-the-art methods, and we highly suggested that our system could be used to prevent the spread of local transmission and reduce the chances of human carriers of COVID-19.

Application of Response Surface Methodology to Synthesize Appropriate Molecularly Imprinted Polymer for Diazinon

2014 ◽  
Vol 605 ◽  
pp. 67-70 ◽  
Author(s):  
Mohsen Rahiminezhad ◽  
Seyed Jamaleddin Shahtaheri ◽  
Mohammad Reza Ganjali ◽  
Abbas Rahimi Rahimi Forushani
Keyword(s):  
Molecular Imprinting ◽  
Molecularly Imprinted Polymer ◽  
Binding Sites ◽  
Capillary Electrochromatography ◽  
Template Molecule ◽  
Imprinted Polymer ◽  
Molecularly Imprinted ◽  
Functional Monomers ◽  
Molecular Imprinting Technology ◽  
Cross Linker

Molecular imprinting technology has become an interesting research area to the preparation of specific sorbent material for environmental and occupational sample preparation techniques (1). In the molecular imprinting technology, specific binding sites have been formed in polymeric matrix, which often have an affinity and selectivity similar to antibody-antigen systems (2). In molecular imprinted technology, functional monomers are arranged in a complementary configuration around a template molecule, then, cross-linker and solvent are also added and the mixture is treated to give a porous material containing nono-sized binding sites. After extraction of the template molecule by washing, vacant imprinted sites will be left in polymer, which are available for rebinding of the template or its structural analogue (3). The stability, convention of preparation and low cost of these materials make them particularly attractive (4). These synthetic materials have been used for capillary electrochromatography (5), chromatography columns (6), sensors (7), and catalyze system (8). Depending on the molecular imprinting approach, different experimental variables such as the type and amounts of functional monomers, porogenic solvent, initiator, monomer to cross-linker ratio, temperature, and etc may alter the properties of the final polymeric materials. In this work, chemometric approach based on Central Composite Design (CCD) was used to design the experiments as well as to find the optimum conditions for preparing appropriate diazinon molecularly imprinted polymer.

Rational design and tailoring of imprinted polymeric enantioselective sensor layered on multiwalled carbon nanotubes for the chiral recognition of d-mandelic acid

2019 ◽  
Vol 10 (39) ◽  
pp. 5364-5384 ◽  
Author(s):  
T. Sajini ◽  
Sam John ◽  
Beena Mathew
Keyword(s):  
Carbon Nanotubes ◽  
Multiwalled Carbon Nanotubes ◽  
Molecular Imprinting ◽  
Mandelic Acid ◽  
Chiral Recognition ◽  
Rational Design ◽  
Specific Detection ◽  
Multiwalled Carbon ◽  
Molecular Imprinting Technology ◽  
Enantioselective Sensor

Attempts have been made to investigate the feasibility of fabricating an enantiomeric sensor for the specific detection of d-mandelic acid layered on vinyl-MWCNT using molecular imprinting technology.

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