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Original Article

Rapid quality determination of cherry fruit (Prunus spp.) using artificial olfactory technique as combined with non-linear data extraction model

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Pages 1804-1816 | Received 11 Feb 2022, Accepted 24 Jul 2022, Published online: 07 Aug 2022

References

  • Sharafi, Y.; Jannatizadeh, A.; Rezapour Fard, J.; Aghdam, M. S. Morteza Soleimani Aghdam. Melatonin Treatment Delays Senescence and Improves Antioxidant Potential of Sweet Cherry Fruits during Cold Storage [J]. Sci. Hortic. 2021, 288, 1 10304. DOI: 10.1016/j.scienta.2021.110304.
  • Calle, A.; Serradilla, M. J.; Wünsch, A. QTL Mapping of Phenolic Compounds and Fruit Colour in Sweet Cherry Using a 6+9K SNP Array Genetic Map [J]. Sci. Hortic. 2021, 280, 109900. DOI: 10.1016/j.scienta.2021.109900.
  • Wöhner, T. W.; Emeriewen, O. F.; Wittenberg, A. H. J.; Schneiders, H.; Vrijenhoek, I.; Halász, J.; Hrotkó, K.; Hoff, K. J.; Gabriel, L.; Lempe, J., et al. The Draft chromosome-level Genome Assembly of Tetraploid Ground Cherry (Prunus Fruticosa Pall.) from Long Reads [J]. Genomics. 2021, 113(6), 4173–4183.
  • Shakoor, N.; Adeel, M.; Zain, M.; Zhang, P.; Ahmad, M.; Farooq, T.; Zhou, P.; Azeem, I.; Rizwan, M.; Guo, K., et al. Exposure of Cherry Radish (Raphanus Sativus L. Var. Radculus Pers) to iron-based Nanoparticles Enhances Its Nutritional Quality by Trigging the Essential Elements [J]. NanoImpact. 2022, 8(1), e08788.
  • Ćorković, I.; Pichler, A.; Buljeta, I.; Šimunović, J., and Kopjar, M. Carboxymethylcellulose Hydrogels: Effect of Its Different Amount on Preservation of Tart Cherry Anthocyanins and Polyphenols [J]. Curr. Plant Biol. 2021,28, 100222. DOI: 10.1016/j.cpb.2021.100222.
  • Fan-lin, W. U.; De-hui, Q. U.; Wei, T. I. A. N.; WANG, M.-Y.; CHEN, F.-Y.; LI, -K.-K.; Sun, Y.-D.; SU, Y.-H.; Yang, L.-N.; SU, H.-Y., et al. Transcriptome Analysis for Understanding the Mechanism of Dark Septate Endophyte S16 in Promoting the Growth and Nitrate Uptake of Sweet Cherry [J]. J. Integr. Agric. 2021, 20(7), 1819–1831.
  • Kim, D.; Thanakkasaranee, S.; Lee, K.; Sadeghi, K., and Seo, J. Smart Packaging with temperature-dependent Gas Permeability Maintains the Quality of Cherry Tomatoes [J]. Food Biosci. 2021, 41, 100997. DOI: 10.1016/j.fbio.2021.100997.
  • Villamor, D. E. V.; Pillai, S. S.; Eastwell, K. C. Systemic Infection and Symptom Development of agro-inoculated cDNA Clone of Cherry Rusty mottle-associated Virus in Sweet Cherry (Prunus Avium) [J]. Virus Res. 2021, 296, 198330. DOI: 10.1016/j.virusres.2021.198330.
  • Hazel Álvarez-Hernández, M.; Benito Martínez-Hernández, G.; Castillejo, N.; Martínez, J. A.; Artés-Hernández, F. Development of an Antifungal Active Packaging Containing Thymol and an Ethylene Scavenger. Validation during Storage of Cherry Tomatoes [J]. Food Pack. Shelf Life. 2021, 29, 100734. DOI: 10.1016/j.fpsl.2021.100734.
  • Zhang, Y.-L.; Cui, Q.-L.; Wang, Y.; Shi, F.; Liu, Y.-P.; Liu, J.-L., and Nie, G.-W. Effect of Carboxymethyl chitosan-gelatin-based Edible Coatings on the Quality and Antioxidant Properties of Sweet Cherry during Postharvest Storage [J]. Sci. Hortic. 2021, 289, 110462. DOI: 10.1016/j.scienta.2021.110462.
  • Gonçalves, A. C.; Campos, G.; Pinto, E.; Oliveira, A. S.; Almeida, A.; de Pinho, P. G.; Alves, G., and Silva, L. R. Essential and non-essential Elements, and Volatile Organic Compounds for the Discrimination of twenty-three Sweet Cherry Cultivars from Fundão, Portugal [J]. Food Chem. 2022, 367, 130503. DOI: 10.1016/j.foodchem.2021.130503.
  • Lahaye, M.; Tabi, W.; Le Bot, L.; Delaire, M.; Orsel, M.; Campoy, J. A.; Quero Garcia, J., and Le Gall, S. Comparison of Cell Wall Chemical Evolution during the Development of Fruits of Two Contrasting Quality from Two Members of the Rosaceae Family: Apple and Sweet Cherry [J]. Plant Physiol. Biochem. 2021, 168, 93–104. DOI: 10.1016/j.plaphy.2021.10.002.
  • Wöhner, T. W.; Emeriewen, O. F.; Alexander, H. J.; Schneiders, H.; Vrijenhoek, I.; Halász, J.; Hrotkó, K.; Hoff, K. J.; Gabriel, L.; Lempe, J., et al. The Draft chromosome-level Genome Assembly of Tetraploid Ground Cherry (Prunus Fruticosa Pall.) from Long Reads [J]. Genomics. 10.1016/j.ygeno.2021.11.002. 2021, 113(6), 4173–4183.
  • Fuentealba, C.; Ejsmentewicz, T.; Campos-Vargas, R.; Saa, S.; Aliaga, O.; Chirinos, R.; Campos, D., and Pedreschi, R. Cell Wall and Metabolite Composition of Sweet Cherry Fruits from Two Cultivars with Contrasting Susceptibility to Surface Pitting during Storage [J]. Food Chem. 2021, 342, 128307. DOI: 10.1016/j.foodchem.2020.128307.
  • Lamagna, A.; Reich, S.; Rodriguez, D.; Boselli, A.; Cicerone, D. The Use of an Electronic Nose to Characterize Emissions from a Highly Polluted River. Sens. Actuators B Chem. 2008, 131(1), 121–124. DOI: 10.1016/j.snb.2007.12.026.
  • Zhu, L. M.; Seburg, R. A.; Tsai, E.; Puech, S.; Mifsud, J. C. Flavor Analysis in a Pharmaceutical Oral Solution Formulation Using an electronic-nose. J. Pharm. Biomed. Anal. 2004, 34(3), 453–461. DOI: 10.1016/S0731-7085(03)00651-4.
  • Zhang, H. M.; Wang, J. Detection of Age and Insect Damage Incurred by Wheat, with an Electronic Nose. J. Stored Prod. Res. 2007, 43(4), 489–495. DOI: 10.1016/j.jspr.2007.01.004.
  • Zheng, H.; Wang, S.; Ping, X.; Shao, C.; Zhou, H.; Xiang, B.; Li, J.; Lou, X.; Yi, X.; Guohua, H., et al. Study of Spinyhead Croaker (Collichthys Lucidus) Fat Content Forecasting Model Based on Electronic Nose and Non-linear Data Resolution Model[J]. Food Anal. Methods. 2019, 12(9), 1927–1937.
  • Zheng, H.; Ying, X.; Wang, W.; Chen, Z.; Shao, C.; Zhou, H.; Wang, S.; Ping, X.; Li, J.; Yi, X., et al. Study of Sensitivity Evaluation on Ridgetail White Prawn (Exopalaemon Carinicaud) Quality Examination Methods. Int. J. Food Prop. 2019, 22(1), 942–951.
  • Ning, J.; Ye, H.; Sun, Y.; Zhang, J.; Mei, Z.; Xiong, S.; Zhang, S.; Li, Y.; Hui, G.; Yi, X. et al Study on apple damage detecting method based on relaxation single-wavelength laser and convolutional neural network [J]. Journal of Food Measurement and Characterization. https://doi.org/10.1007/s11694-022-01429-8. 2022.
  • Ameer, Q.; Adeloju, S. B. Polypyrrole-based Electronic Noses for Environmental and Industrial Analysis. Sens. Actuators B Chem. 2005, 106, 541–552.
  • Chenning, S.; Zheng, H.; Zhou, Z.; Li, J.; Lou, X.; Hui, G., and Zhao, Z. Ridgetail White Prawn (Exopalaemon Carinicauda) K Value Predicting Method by Using Electronic Nose Combined with Non-linear Data Analysis Model [J]. Food Anal. Methods. 2018, 11(11), 3121–3129.
  • Zhiyi, H.; Chenchao, H.; Jiajia, Z.; Jian, L., and Guohua, H. Electronic Nose System Fabrication and Application in Large Yellow Croaker (Pseudosciaena Crocea) Fressness Prediction [J]. J. Food Meas. Charact. 2017, 11(1), 33–40.
  • Chanie, G. E.; Westad, F.; Jonsdottir, R.; Thalmann, C. R.; Bazzo, S.; Labreche, S.; Marcq, P.; Lundby, F.; Haugen, J. E. Prediction of Microbial and Sensory Quality of Cold Smoked Atlantic Salmon (Salmo Salar) by Electronic Nose. J. Food Sci. 2005, 70, 563–574.
  • Jian, L.; Hailin, F.; Wei, L.; Gao, Y., and Hui, G. Design of A Portable Electronic Nose System and Application in K Value Prediction for Large Yellow Croaker (Pseudosciaena Crocea) [J]. Food Anal. Methods. 2016, 9(10), 2943–2951.
  • Zheng, L.; Zhang, J.; Yu, Y.; Zhao, G., and Hui, G. Spinyhead Croaker (Collichthys Lucidus) Quality Determination Using multi-walled Carbon Nanotubes gas-ionization Sensor Array [J]. J. Food Meas. Charact. 2016, 10(2), 247–252.
  • Liu, Y.; Feixiang, Z.; Bowei, Z.; Ruan, X.; Yi, X.; Li, J.; Gao, Y.; Hui, G. Effect of Sodium Lactate Coating Enriched with Nisin on Beef Strip Loins (M. Longissimus Lumborum) Quality during Cold Storage and Electronic Nose Rapid evaluation[J]. J. Food Meas. Charact. 2020, 14(6), 2998–3009. DOI: 10.1007/s11694-020-00548-4.
  • Hui, G.; Lu, H.; Jiang, Z.; Zhu, D.; Wan, H. Study of small-cell Lung Cancer cell-based Sensor and Its Applications in Chemotherapy Effects Rapid Evaluation for Anticancer Drugs [J]. Biosens. Bioelectron. 2017, 97, 184–195. DOI: 10.1016/j.bios.2017.05.050.
  • Determination of Reducing Sugar in Foods, ( GB/T 5009.7-2008)