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Automated Sequential Injection Method for Determination of Caffeine in Coffee Drinks

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Abstract

An automated sequential injection analysis spectrophotometric assay for the determination of purine alkaloids in coffee drinks was developed. The sample was treated with a carrez reagent for matrix suppression followed by filtration; subsequently, alkaloids were separated from organic acids using a short C18 monolithic column (10 × 4.6 mm). The flow rate of the separation step was 10 μL s−1 with 10% v/v of methanol as the mobile phase. The sum of alkaloids evaluated as caffeine was detected at 274 nm. The influence of the main parameters affecting the quantification of purine alkaloids was optimized. One sample analysis lasted 15 min when aspirated in triplicate. The linear range was 1–15 mg L−1, and the determination coefficient (r 2) was 0.9969. The limit of detection and limit of quantitation were 0.128 and 0.425 mg L−1, respectively. The repeatability evaluated as the relative standard deviation (RSD) was 3.58% (n = 12, 10 mg L−1). Under optimal conditions, the method was successfully applied to determine purine alkaloids in different real samples including soluble coffee, coffee from an espresso machine, and brewed coffee drinks.

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Correspondence to Hana Sklenářová.

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The authors gratefully acknowledge the financial support provided by the Ministry of Education, Youth and Sports of the Czech Republic, specific research project No. SVV 260412. This publication was also supported by the STARSS reg. No. CZ.02.1.01/0.0/0.0/15_003/0000465 project co-funded by the ERDF.

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Mihalčíková L declares that she has no conflict of interest. Boonjob W declares that she has no conflict of interest. Sklenářová H declares that she has no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Mihalčíková, L., Boonjob, W. & Sklenářová, H. Automated Sequential Injection Method for Determination of Caffeine in Coffee Drinks. Food Anal. Methods 11, 111–118 (2018). https://doi.org/10.1007/s12161-017-0982-3

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  • DOI: https://doi.org/10.1007/s12161-017-0982-3

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