Light-shading reaction microfluidic PMMA/paper detection system for detection of cyclamate concentration in foods

Chan Chiung Liu, Chien Hsuan Ko, Lung Ming Fu, Yi Ling Jhou

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Cyclamate is an artificial sweetener with high sweetness and low calories, and is a common sugar substitute for weight control and diabetic patients. However, excessive cyclamate consumption is associated with various health disorders, and hence it is prohibited as a food additive in many countries around the world. The current research proposes a light-shading reaction microfluidic PMMA/paper detection (MPD) system for determining the cyclamate concentration in food. In the current system, inject 10 μL of the extracted sodium cyclamate sample into the sample chamber of the MPD device, perform the diazotization reaction under shading conditions, and then suck it into the detection area through a paper strip, which consists of a paper chip embedded with modified Bratton-Marshall reagent. Once the paper chip is thoroughly wetted, the MPD device is inserted into a microanalysis box, where a fuchsia azo reaction compound is produced through heating at 40 °C for 3 min. The reaction complex is observed by a camera and the reaction image is wirelessly transmitted to a smartphone, and the concentration of sodium cyclamate is measured through the self-developed grayscale software. The results obtained for the sodium cyclamate samples with a concentration in the range of 50–1000 ppm show that the measured gray value changes linearly with the sodium cyclamate concentration, and the correlation coefficient (R2) is 0.9898. By analyzing the concentration of sodium cyclamate in 10 real-world samples, the practical feasibility of the current MPD system is proved. The results showed that the concentration measurement value did not deviate by more than 4.8 % from the value obtained using the conventional liquid chromatography/tandem mass spectrometry (LC-MS/MS) method.

Original languageEnglish
Article number134063
JournalFood Chemistry
Volume400
DOIs
Publication statusPublished - 2023 Jan 30

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Food Science

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