Microchip capillary electrophoresis dairy device using fluorescence spectroscopy for detection of ciprofloxacin in milk samples

Abstract

Detecting antibiotics in the milk supply chain is crucial to protect humans from allergic reactions, as well as preventing the build-up of antibiotic resistance. The dairy industry has controls in place at processing facilities, but controls on dairy farms are limited to manual devices. Errors in the use of these manual devices can result in severe financial harm to the farms. This illustrates an urgent need for automated methods of detecting antibiotics on a dairy farm, to prevent the shipment of milk containing antibiotics. This work introduces the microchip capillary electrophoresis dairy device, a low-cost system that utilizes microchip capillary electrophoresis as well as fluorescence spectroscopy for the detection of ciprofloxacin contained in milk. The microchip capillary electrophoresis dairy device is operated under antibiotic-absent conditions, with ciprofloxacin not present in a milk sample, and antibiotic-present conditions, with ciprofloxacin present in a milk sample. The response curve for the microchip capillary electrophoresis dairy device is found through experimental operation with varied concentrations of ciprofloxacin. The sensitivity and limit of detection are quantified for the microchip capillary electrophoresis dairy device.

Applications of capillary electrophoresis in the fields of environmental, pharmaceutical, clinical, and food analysis (2019–2021)

“…MCE dairy device, a low-cost system that utilizes MCE-LIF for the detection of ciprofloxacin in milk, was developed. By detecting different concentrations of ciprofloxacin, the reaction curve of the MCE device for dairy products was obtained for quantitative analysis of ciprofloxacin in milk [107]. In addition, Ferreira et al [108] proposed a method named SPE-CE for the determination of oxytetracycline in milk.…”

Microfluidics: Recent Advances Toward Lab‐on‐Chip Applications in Bioanalysis

“…This will be one of the main causes why strong attention in research and development on polymer materials for creating microfluidic chips depends on sensor platforms. [ 98–100 ]…”

A velocity program using the Kanade–Lucas–Tomasi feature‐tracking algorithm with demonstration for pressure and electroosmosis conditions

“…An electrostatics analysis is then performed with the EOF conditions to justify the computation of the electroosmosis mathematical model. The μPTV MATLAB program is developed using computer vision toolboxes available in MATLAB and takes inspiration from the need to quantify the EOF velocity and the zeta potential during a study of EOF by Bosma et al [24,25]. The zeta potential is the potential directly in contact with the bulk fluid [26].…”