Abstract
The study aims identification of discriminating chemical constituents in the banana odor grown in Philippines and Ecuador using GC–MS characterization. Ester is recognized as a major chemical class in selected banana odor. Odors discriminating compounds like, 2-hexenal, ethyl acetate, and hexanoic acid, ethyl ester, etc. have been identified. Besides, other odors generating chemical compounds (alcohols, esters, aldehydes, and ketones) have been recognized. Furthermore, principal component analysis (PCA) and hierarchical cluster analysis were implemented to differentiate banana odors. PCA achieved 100% discrimination of selected bananas odors using the peak area information about recognizing chemical compounds. Odor identity and discrimination of selected bananas have been achieved successfully.
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Abbreviations
- GC–MS:
-
Gas chromatography-mass spectrometry
- PCA:
-
Principal component analysis
- HCA:
-
Hierarchical cluster analysis
- VOC:
-
Volatile organic compounds
- SPME:
-
Solid-phase micro extraction
- PC:
-
Principal component
References
Aurore G, Ginies C, Ganou-Parfait B, Renard CM, Fahrasmane L (2011) Comparative study of free and glycoconjugated volatile compounds of three banana cultivars from French West Indies: cavendish frayssinette and plantain. Food Chem 129(1):28–34. https://doi.org/10.1016/j.foodchem.2011.01.104
Berkhin P (2006) A survey of clustering data mining techniques. In: Kogan J, Nicholas C, Teboulle M (eds) Grouping multidimensional data. Springer, Berlin. https://doi.org/10.1007/3-540-28349-8_2
Bishop CM (2006) Pattern recognition and machine learning. Springer, USA
Boudhrioua N, Giampaoli P, Bonazzi C (2003) Changes in aromatic components of banana during ripening and air-drying. LWT-Food Sci Technol 36(6):633–642. https://doi.org/10.1016/S0023-6438(03)00083-5
Bugaud C, Alter P (2016) Volatile and non-volatile compounds as odour and aroma predictors in dessert banana (Musa spp.). Postharvest Biol Technol 112:14–23. https://doi.org/10.1016/j.postharvbio.2015.10.003
Capobiango M, Mastello RB, Chin ST, de Souza OE, de Lourdes CZ, Marriott PJ (2015) Identification of aroma-active volatiles in banana Terra spirit using multidimensional gas chromatography with simultaneous mass spectrometry and olfactometry detection. J Chromatogr A 138:227–235. https://doi.org/10.1016/j.chroma.2015.02.029
Carneiro RP, Oliveira FA, Madureira FD, Silva G, de Souza WR, Lopes RP (2013) Development and method validation for determination of 128 pesticides in bananas by modified QuEChERS and UHPLC–MS/MS analysis. Food Control 33(2):413–423. https://doi.org/10.1016/j.foodcont.2013.02.027
dela Cruz Jr, FS, Gueco LS, Damasco OP, Huelgas VC, Dela Cueva FM, Dizon TO, Sison MLJ, Banasihan IG, Sinohin VO, Molina Jr AB (2008) Farmers’ handbook on introduced and local banana cultivars in the Philippines. Bioversity international, Italy.
Jordán MJ, Tandon K, Shaw PE, Goodner KL (2001) Aromatic profile of aqueous banana essence and banana fruit by gas chromatography−mass spectrometry (GC-MS) and gas chromatography− olfactometry (GC-O). J Agric Food Chem 49(10):4813–4817. https://doi.org/10.1021/jf010471k
Kaufman L, Rousseeuw PJ (2009) Finding groups in data: an introduction to cluster analysis. Wiley, USA
Mayr D, van Ruth SM, Märk TD (2003) Evaluation of the influence of mastication on temporal aroma release of ripe and unripe bananas, using a model mouth system and gas chromatography-olfactometry. Eur Food Res Technol 217(4):291–295. https://doi.org/10.1007/s00217-003-0777-1
Nelson SC, Ploetz RC, Kepler AK (2006) Musa species (banana and plantain). Species Profiles Pacific Isl Agro For 15(2):251–259
Paranthaman R, Sudha A, Kumaravel S (2012) Determination of pesticide residues in banana by using high performance liquid chromatography and gas chromatography-mass spectrometry. Am J Biochem Biotechnol 8(1):1–6. https://doi.org/10.3844/ajbbsp.2012.1.6
Pino JA, Febles Y (2013) Odour-active compounds in banana fruit cv. Giant Cavendish Food Chem 141(2):795–801. https://doi.org/10.1016/j.foodchem.2013.03.064
Pontes M, Pereira J, Câmara JS (2012) Dynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profile. Food Chem 134(4):2509–2520. https://doi.org/10.1016/j.foodchem.2012.04.087
R development core team (2008) A language and environment for statistical computing. R Foundation for Statistical Computing, Austria
Vermeir SMLAM, Hertog MLATM, Vankerschaver K, Swennen R, Nicolai BM, Lammertyn J (2009) Instrumental based flavour characterisation of banana fruit. LWT-Food Sci Technol 42(10):1647–1653. https://doi.org/10.1016/j.lwt.2009.05.024
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SKJ (Conceptualization; Data curation; Formal analysis; Investigation; Methodology; Software; Supervision; Validation; Visualization; Roles/Writing—original draft; Writing—review and editing); JZ (Data curation, Roles/Writing—original draft; Writing—review and editing, Investigation; Methodology;); KH (Methodology, Writing—review and editing); CL (Methodology, Writing—review and editing).
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Jha, S.K., Zhang, J., Hayashi, K. et al. Identification of discriminating chemical compounds in banana species and their odor characterization using GC–MS, statistical, and clustering analysis. J Food Sci Technol 59, 402–408 (2022). https://doi.org/10.1007/s13197-021-05298-9
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DOI: https://doi.org/10.1007/s13197-021-05298-9