Journal
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
Volume 119, Issue -, Pages -Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jfca.2023.105267
Keywords
Green solvents; Heat -processed food samples; Central composite design; Trethylamine; Nitrite
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A new method called switchable hydrophilicity solvent-based ultrasound-assisted liquid-liquid microextraction (SHS-UA-LLME) was proposed for the extraction and determination of nitrite in heat processed foods. The method involved the use of three switchable hydrophilicity solvents, protonation and conversion steps, and the application of ultrasound to enhance extraction capability. Various parameters were optimized, and the method showed good sensitivity and selectivity. The use of SHSs and the elimination of heating and centrifugation steps make this method cost-effective and time-saving compared to other similar methods.
A new and sustainable switchable hydrophilicity solvent-based ultrasound-assisted liquid-liquid microextraction (SHS-UA-LLME) procedure was proposed to extract and determine nitrite in heat processed foods using a spectrophotometer. Three switchable hydrophilicity solvents (SHS-1, SHS-2, and SHS-3) were prepared and used as an extraction solvent for nitrite by mixing N,N-dimethylcyclohexylamine (DMCA), trethylamine (TEA), and N, N-dimethylbenzylamine (DMBA) with water in a 1:1 molar ratio. Protonation of the SHSs were achieved by using dry ice (solid CO2) to make it water soluble, and addition of NaOH converted it back to its original non-ionic state for phase separation and subsequent extraction of nitrite. Ultrasound was applied to increase the extraction capability of the nitrite in the samples. Various analytical parameters including the pH of the sample solution, SHS types and their volumes, extraction time, and sample volume were optimized. The effects of matrix ions were also studied. Limit of detection and limit of quantification were found 0.1 mu g L-1 and 0.3 mu g L-1, respec-tively. The linear range and preconcentration factor were 0.3-600 mu g L-1 and 250, respectively. The proposed SHS-UA-LLME was applied to the heat-processed foods with the standard addition method and recoveries were achieved in the range of 91-99%. The factorial design was also used and access the impact of factor and fitness of the model using response surface methodology. The innovation of the proposed SHS-UA-LLME was demonstrated the usability of SHSs for the selective determination and extraction of nitrite by multivariate statistical analysis. In addition, the proposed SHS-UA-LLME does not require heating and centrifugation steps, which provides su-periority in terms of cost and time compared to other similar methods.
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