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Binary Simple Sugar Profiling in Corn and Small Grain Flour Authentication Using GC/EI-qMS Approach

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Abstract

There is an increasing demand for mixed flour bakery products in the world market, considering the health benefits of various cereal grains. The aim of this work was to develop a rapid approach for corn and small grain flour authentication. Simple sugars present in flour samples were extracted with 96 % ethanol solution, derivatized into corresponding trimethylsilyl oximes (TMSO), and analyzed on a GC/EI-qMS device. The presence of a specific simple sugar at a specific retention time was confirmed using mass spectrometer, thus providing a semi-qualitative approach. Binary matrices were developed based on the presence/absence of detected simple sugar compounds in the investigated cereal species, to minimize the influence of variability between investigated cultivars of the same species. By performing exploratory data analysis: hierarchical cluster analysis (HCA), principal coordinate analysis (PCO), and principal component analysis (PCA), flour samples of corn species were strongly separated from every investigated species of small grains, using all three multivariate tools, thus enabling its authentication in a small grain/corn flour mixture.

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References

  1. Lähteenmäki L (2013) Claiming health in food products. Food Qual Preference 27:196–201

    Article  Google Scholar 

  2. Guangchang P, Junbo X, Qingsen C, Zhihe H (2012) How functional foods play critical roles in human health. Food Sci Human Wellness 1:26–60

    Article  Google Scholar 

  3. Cifuentes A (2013) In: Cifuentes A (ed) Foodomics—advanced mass spectrometry in modern food science and nutrition. Wiley, Hoboken

    Chapter  Google Scholar 

  4. Ferraretto A, Perego S, Fiorilli A (2013) In: Robinson A, Emerson D (eds) Functional foods. Nova Science Publishers, New York

    Google Scholar 

  5. McKevith B (2004) Nutritional aspects of cereals. Nutr Bull 29:111–142

    Article  Google Scholar 

  6. Masisi K, Beta T, Moghadasian MH (2016) Antioxidant properties of diverse cereal grains: a review on in vitro and in vivo studies. Food Chem 196:90–97

    Article  CAS  Google Scholar 

  7. Mohamed S (2014) Functional foods against metabolic syndrome (obesity, diabetes, hypertension and dyslipidemia) and cardiovasular disease. Trends Food Sci Tech 35:114–128

    Article  CAS  Google Scholar 

  8. Dimić E (2005) Monograph: cold pressed oils. University of Novi Sad, Faculty of Technology, Novi Sad

    Google Scholar 

  9. Primrose S, Woolfie M, Rollinson S (2010) Food forensics: methods for determining the authenticity of foodstuffs. Trends Food Sci Tech 21:582–590

    Article  CAS  Google Scholar 

  10. Martinez I, Aursand M, Erikson U, Singstad TE, Veliyulin E, van der Zwaag C (2003) Destructive and non-destructive analytical techniques for authentication and composition analysis of foodstuffs. Trends Food Sci Tech 14:489–498

    Article  CAS  Google Scholar 

  11. Cuadros-Rodriguez L, Ruiz-Samblas C, Valverde-Som L, Perez-Castano E, Gonzalez-Casado A (2016) Chromatographic fingerprinting: an innovative approach for food “identitation” and food authentication—a tutorial. Anal Chim Acta 909:9–23

    Article  CAS  Google Scholar 

  12. Gerhardt KO (1990) In: Gordon MH (ed) Principles and applications of gas chromatography in food analysis. Ellis Horwood Series, Chichester

    Google Scholar 

  13. Venter L, van Rensburg PJ, Loots DT, Vosloo A, Lindeque JZ (2016) Untargeted metabolite profiling of abalone using gas chromatography mass spectrometry. Food Anal Method 9(5):1254–1261

    Article  Google Scholar 

  14. Castro-Puyana M, Mendiola JA, Ibanez E, Herrero M (2013) In: Cifuentes A (ed) Foodomics—advanced mass spectrometry in modern food science and nutrition. Wiley, Hoboken

    Google Scholar 

  15. Ruiz-Matute AI, Hernández-Hernández O, Rodríguez-Sánchez S, Sanz ML, Martínez-Castro I (2011) Derivatization of carbohydrates for GC and GC–MS analyses. J Chromatogr B 879:1226–1240

    Article  CAS  Google Scholar 

  16. Bradbury A (1990) In: Gordon MH (ed) Principles and applications of gas chromatography in food analysis. Ellis Horwood Series, Chichester

    Google Scholar 

  17. Harynuk JJ, De la Mata P, Sinkov NA (2012) In: Varmuza K (ed) Chemometrics in practical applications. InTech, Rijeka

    Google Scholar 

  18. Bosque-Sendra JM, Cuadros-Rodriguez L, Ruiz-Samblas C, de la Mata AP (2012) Combining chromatography and chemometrics for the characterization and authentication of fats and oils from triacylglycerol compositional data—a review. Anal Chim Acta 724:1–11

    Article  CAS  Google Scholar 

  19. Gomez-Caravaca AM, Maggio RM, Cerretani L (2016) Chemometric applications to assess quality and critical parameters of virgin and extra-virgin olive oil—a review. Anal Chim Acta 913:1–21

    Article  CAS  Google Scholar 

  20. Peterson G (1974) Gas-chromatographic analysis of sugars and related hydroxy acids as acyclic oxime and ester trimethylsilyl derivatives. Carbohydr Res 33(1):47–61

  21. Hammer O, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontologia Electronica 1, Coquina Press, Columbia

  22. Ares G (2014) In: Granato D, Ares G (eds) Mathematical and statistical methods in food science and technology, 1st edn. Wiley, Chichester

    Google Scholar 

  23. Varmuza K, Filzmoser P (2008) Introduction to multivariate statistical analysis in chemometrics. CRC Press Taylor & Francis Group, Boca Raton

    Google Scholar 

  24. Lee I, Yang J (2009) In: Brown SD, Tauler R, Walczak B (eds) Comprehensive chemometrics. Elsevier, Oxford

    Google Scholar 

  25. Grane A, Jach A (2014) In: Granato D, Ares G (eds) Mathematical and statistical methods in food science and technology, 1st edn. Wiley, Chichester

    Google Scholar 

  26. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433–459

    Article  Google Scholar 

  27. Derndorfer E, Baierl A (2014) In: Granato D, Ares G (eds) Mathematical and statistical methods in food science and technology. Wiley, Chichester

    Google Scholar 

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Acknowledgments

Authors gratefully acknowledge the financial support from the Ministry of Education, Science and Technological Development of the Republic of Serbia and COST Action FA1306 The quest for tolerant varieties—Phenotyping at plant and cellular level.

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Authors and Affiliations

  1. Department of Applied and Engineering Chemistry, Faculty of Technology, University of Novi Sad, Bul. Cara Lazara 1, 21000, Novi Sad, Serbia

    Kristian Pastor & Marijana Ačanski

  2. University of Novi Sad, Dr Zorana Đinđića 1, 21000, Novi Sad, Serbia

    Đura Vujić

  3. Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000, Novi Sad, Serbia

    Ankica Kondić-Špika

Authors
  1. Kristian Pastor
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  2. Marijana Ačanski
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  3. Đura Vujić
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  4. Ankica Kondić-Špika
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Correspondence to Kristian Pastor.

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Pastor, K., Ačanski, M., Vujić, Đ. et al. Binary Simple Sugar Profiling in Corn and Small Grain Flour Authentication Using GC/EI-qMS Approach. Chromatographia 79, 1553–1559 (2016). https://doi.org/10.1007/s10337-016-3159-0

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  • DOI: https://doi.org/10.1007/s10337-016-3159-0

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