skip to main content

Optimization of Adsorption and Desorption Time in the Extraction of Volatile Compounds in Brewed Java Arabica Coffee Using the HS-SPME/GC-MS Technique

1Department of Chemistry, Faculty of Science and Technology, Universitas Ma Chung, Malang, East Java, Indonesia

2PT Mitra Ayu Adi Pratama, Jl. Parupuk Raya II No. 67, Padang, West Sumatera, Indonesia

3Department of Food Technology, Universitas Ciputra, CitraLand CBD Boulevard, Surabaya 60219, East Java, Indonesia

Received: 7 Aug 2021; Revised: 18 Feb 2022; Accepted: 26 Feb 2022; Published: 28 Feb 2022.
Open Access Copyright 2022 Jurnal Kimia Sains dan Aplikasi under http://creativecommons.org/licenses/by-sa/4.0.

Citation Format:
Cover Image
Abstract

The headspace solid phase microextraction (HS-SPME) technique has been recognized as a reliable technique for characterizing the aroma profile of Arabica coffee beans. The amount and content of the detected volatile compounds depend on the volatile analyte extraction process with HS-SPME, namely the adsorption and desorption processes. However, the optimal extraction time in applying coffee volatile compounds is still limited. This research aimed to obtain the optimum adsorption and desorption time in analyzing volatile compounds in brewed Java Arabica coffee. The adsorption time was optimized for 20 to 60 minutes with 5 minutes desorption time. The desorption time was optimized from 5 to 45 minutes with a 20 minutes of adsorption time. There are 14 volatile compounds with a peak area percentage of more than 2% from adsorption and desorption optimization. The optimal adsorption time was 50 minutes, where there were 5 of 7 compounds with the most significant area, such as 2-furfural (29%), 2-acetyl furan (3%), 2-furfuryl acetate (6%), 5-methyl furfural (12%), and 2-furfuryl alcohol (14%). Meanwhile, the most optimal desorption time was 5 minutes which detected 12 compounds, while the other desorption time only detected eight compounds. Furfuryl formate (2%), pyridine (12%), and 2-furfuryl alcohol (14%) had a higher peak area than the other compounds at a desorption time of 5 minutes. The results showed the same number of volatile compounds at each adsorption time. In conclusion, the adsorption time did not affect the number of compounds detected as in the optimization of desorption time. Adsorption and desorption time is crucial in analyzing volatile compounds from coffee using the HS-SPME/GC-MS technique.

Fulltext View|Download
Keywords: Arabica coffee; Solid Phase Microextraction; Volatile compounds; Optimum time; Characterization technique
Funding: Direktorat Riset dan Pengabdian kepada Masyarakat (DRPM)

Article Metrics:

  1. Direktorat Statistik Tanaman Perkebunan, in, Badan Pusat Statistik, Jakarta, 2018, p. 17-69
  2. Elsera Br Tarigan, Tajul Iflah, Dibyo Pranowo, Tingkat kesukaan konsumen terhadap kopi campuran robusta dengan arabika, Jurnal Teknologi dan Industri Pertanian Indonesia, 7, 1, (2015), 12-17
  3. Peter Capek, Ema Paulovičová, Mária Matulová, Danica Mislovičová, Luciano Navarini, Furio Suggi-Liverani, Coffea arabica instant coffee—chemical view and immunomodulating properties, Carbohydrate Polymers, 103, (2014), 418-426 https://doi.org/10.1016/j.carbpol.2013.12.068
  4. Kristianto Pradipta, Kiki Fibrianto, Perbedaan Air Seduh Terhadap Persepsi Multisensoris Kopi: Review Jurnal, Jurnal Pangan dan Agroindustri, 5, 1, (2017), 85-91
  5. Ni Yang, Chujiao Liu, Xingkun Liu, Tina Kreuzfeldt Degn, Morten Munchow, Ian Fisk, Determination of volatile marker compounds of common coffee roast defects, Food Chemistry, 211, (2016), 206-214 https://doi.org/10.1016/j.foodchem.2016.04.124
  6. Davide Giacalone, Tina Kreuzfeldt Degn, Ni Yang, Chujiao Liu, Ian Fisk, Morten Münchow, Common roasting defects in coffee: Aroma composition, sensory characterization and consumer perception, Food Quality and Preference, 71, (2019), 463-474 https://doi.org/10.1016/j.foodqual.2018.03.009
  7. J. S. Ribeiro, F. Augusto, T. J. G. Salva, M. M. C. Ferreira, Prediction models for Arabica coffee beverage quality based on aroma analyses and chemometrics, Talanta, 101, (2012), 253-260 https://doi.org/10.1016/j.talanta.2012.09.022
  8. Ze Song, Qian Jia, Miaomiao Shi, Tao Feng, Shiqing Song, Studies on the Origin of Carbons in Aroma Compounds from [13C6] Glucose-Cysteine-(E)-2-Nonenal Model Reaction Systems, Polymers, 11, 3, (2019), 521 https://doi.org/10.3390/polym11030521
  9. J. S. Ribeiro, R. F. Teófilo, F. Augusto, M. M. C. Ferreira, Simultaneous optimization of the microextraction of coffee volatiles using response surface methodology and principal component analysis, Chemometrics and Intelligent Laboratory Systems, 102, 1, (2010), 45-52 https://doi.org/10.1016/j.chemolab.2010.03.005
  10. Yi-Ni Yang, Miao Liang, Yan Yang, Fu-Ping Zheng, Xing-Ping Wang, Ai-Nong Yu, Optimization of a headspace solid-phase microextraction method for the gas chromatography-mass spectrometry analysis aroma compounds of Litsea mollis Hemsl. immature fruit, Food Science and Technology, 40, 4, (2020), 786-793 https://doi.org/10.1590/fst.20319
  11. Mauricio Aguirre-González, Gonzalo Taborda-Ocampo, Carmen Dussan-Lubert, Cristina Nerin, Milton Rosero-Moreano, Optimization of the HS-SPME technique by using response surface methodology for evaluating chlorine disinfection by-products by GC in drinking water, Journal of the Brazilian Chemical Society, 22, 12, (2011), 2330-2336 https://doi.org/10.1590/S0103-50532011001200013
  12. Davide Bressanello, Erica Liberto, Chiara Cordero, Patrizia Rubiolo, Gloria Pellegrino, Manuela R. Ruosi, Carlo Bicchi, Coffee aroma: Chemometric comparison of the chemical information provided by three different samplings combined with GC–MS to describe the sensory properties in cup, Food Chemistry, 214, (2017), 218-226 https://doi.org/10.1016/j.foodchem.2016.07.088
  13. M. A. Elsayed, Successive advanced oxidation of pyridine by ultrasonic irradiation: effect of additives and kinetic study, Desalination Water Treatment, 53, 1, (2015), 57-65 https://doi.org/10.1080/19443994.2013.837003
  14. Haider Mashkoor Hussein, Analysis of trace heavy metals and volatile chemical compounds of Lepidium sativum using atomic absorption spectroscopy, gas chromatography-mass spectrometric and Fourier-transform infrared spectroscopy, Research Journal of Pharmaceutical Biological and Chemical Sciences, 7, 4, (2016), 2529-2555
  15. Stefania Vichi, Extraction techniques for the analysis of virgin olive oil aroma, in: V.R. Preedy, R.R. Watson (Eds.) Olives and olive oil in health and disease prevention, Elsevier, 2010, https://doi.org/10.1016/B978-0-12-374420-3.00066-8
  16. Sibylle Mothes, Rainer Wennrich, Coupling of SPME and GC-AED for the determination of organometallic compounds, Microchimica Acta, 135, 1, (2000), 91-95 https://doi.org/10.1007/s006040070023
  17. Nicola Caporaso, Martin B. Whitworth, Chenhao Cui, Ian D. Fisk, Variability of single bean coffee volatile compounds of arabica and robusta roasted coffees analysed by SPME-GC-MS, Food Research International, 108, (2018), 628-640 https://doi.org/10.1016/j.foodres.2018.03.077
  18. Panagiota Zakidou, Fotini Plati, Anthia Matsakidou, Evdoxia-Maria Varka, Georgios Blekas, Adamantini Paraskevopoulou, Single Origin Coffee Aroma: From Optimized Flavor Protocols and Coffee Customization to Instrumental Volatile Characterization and Chemometrics, Molecules, 26, 15, (2021), 4609 https://doi.org/10.3390/molecules26154609
  19. Cristina Sanz, Diana Ansorena, Jose Bello, Concepción Cid, Optimizing Headspace Temperature and Time Sampling for Identification of Volatile Compounds in Ground Roasted Arabica Coffee, Journal of Agricultural and Food Chemistry, 49, 3, (2001), 1364-1369 https://doi.org/10.1021/jf001100r
  20. Luigi Mondello, Rosaria Costa, Peter Quinto Tranchida, Paola Dugo, Maria Lo Presti, Saverio Festa, Alessia Fazio, Giovanni Dugo, Reliable characterization of coffee bean aroma profiles by automated headspace solid phase microextraction‐gas chromatography‐mass spectrometry with the support of a dual‐filter mass spectra library, Journal of Separation Science, 28, 9‐10, (2005), 1101-1109 https://doi.org/10.1002/jssc.200500026
  21. Shimadzu Corporation, High Sensitivity Analysis of Coffee Aroma Components Using the SPME Arrow, 2019
  22. Ilze Laukaleja, Zanda Kruma, Evaluation of a headspace solid-phase microextraction with different fibres for volatile compound determination in specialty coffee brews, Research for Rural Development, 1, (2019), 215-221 https://doi.org/10.22616/rrd.25.2019.032

Last update:

No citation recorded.

Last update: 2024-04-18 06:40:02

No citation recorded.