Literature DB >> 29407920

Microfluidic paper-based chip platform for benzoic acid detection in food.

Chan-Chiung Liu1, Yao-Nan Wang2, Lung-Ming Fu3, Kuan-Lin Chen1.   

Abstract

An integrated microfluidic platform comprising a microfluidic paper-based analytical device (µPAD) and a portable detection system is proposed for the concentration detection of benzoic acid via Janovsky reaction theory. In the proposed approach, the reaction zone of the µPAD is implanted with 5 N sodium hydroxide and dried at 30 °C for 20 min. The benzoic acid sample is derived to 3,5-Dinitrobenzoic acid using KNO3 and H2SO4 at 40 °C for 40 min and is then dripped on the reaction zone of the µPAD. Finally, the µPAD is transferred to the portable detection system and heated at a temperature of 45 °C for 20 min on a hot plate to prompt a Janovsky reaction. The resulting color change of the detection zone is observed using a CMOS camera. The reaction color image is delivered to a smartphone via a connector and the benzoic acid concentration is determined using self-written RGB analysis software. The experimental results obtained using control samples with known benzoic acid concentrations in the range of 500-4000 ppm show that the R(ed) + B(lue) intensity (Y) and benzoic acid concentration (X) are related as Y =  -0.0264 X + 408.79. Moreover, the correlation coefficient is equal to R2 = 0.9953. The proposed detection platform is used to measure the benzoic acid concentrations of twenty-one commercial food samples. It is shown that the concentration measurements deviate by no more than 6.6% from those obtained using a standard HPLC macroscale method. Overall, the results presented in this study show that the proposed integrated microfluidic paper-based chip platform provides a compact and reliable tool for benzoic acid concentration measurement purposes.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Benzoic acid; Microfluidic; Paper-based assay; Portable detection system

Mesh:

Substances:

Year:  2018        PMID: 29407920     DOI: 10.1016/j.foodchem.2018.01.004

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

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Authors:  Xin Tong; Lu Ga; Ruiguo Zhao; Jun Ai
Journal:  RSC Adv       Date:  2021-02-26       Impact factor: 3.361

2.  3D Paper-based milk adulteration detection device.

Authors:  Subhashis Patari; Priyankan Datta; Pallab Sinha Mahapatra
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

Review 3.  Application of Microfluidic Chip Technology in Food Safety Sensing.

Authors:  Hongwei Gao; Chunlei Yan; Wei Wu; Juan Li
Journal:  Sensors (Basel)       Date:  2020-03-24       Impact factor: 3.576

Review 4.  Microfluidic-Based Approaches for Foodborne Pathogen Detection.

Authors:  Xihong Zhao; Mei Li; Yao Liu
Journal:  Microorganisms       Date:  2019-09-23
  4 in total

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