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Mohammadigol, Reza, shahhoseini, Reza. (1403). Non-destructive Detection of the Freshness of Garlic Powder Using Near-infrared (NIR) Spectroscopy and Chemometrics Techniques. سامانه مدیریت نشریات علمی, 14(1), 87-92. doi: 10.22034/jmpb.2024.365243.1668
Reza Mohammadigol; Reza shahhoseini. "Non-destructive Detection of the Freshness of Garlic Powder Using Near-infrared (NIR) Spectroscopy and Chemometrics Techniques". سامانه مدیریت نشریات علمی, 14, 1, 1403, 87-92. doi: 10.22034/jmpb.2024.365243.1668
Mohammadigol, Reza, shahhoseini, Reza. (1403). 'Non-destructive Detection of the Freshness of Garlic Powder Using Near-infrared (NIR) Spectroscopy and Chemometrics Techniques', سامانه مدیریت نشریات علمی, 14(1), pp. 87-92. doi: 10.22034/jmpb.2024.365243.1668
Mohammadigol, Reza, shahhoseini, Reza. Non-destructive Detection of the Freshness of Garlic Powder Using Near-infrared (NIR) Spectroscopy and Chemometrics Techniques. سامانه مدیریت نشریات علمی, 1403; 14(1): 87-92. doi: 10.22034/jmpb.2024.365243.1668

Non-destructive Detection of the Freshness of Garlic Powder Using Near-infrared (NIR) Spectroscopy and Chemometrics Techniques

Journal of Medicinal plants and By-products
مقاله 11، دوره 14، شماره 1، فروردین و اردیبهشت 2025، صفحه 87-92    اصل مقاله (1.11 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22034/jmpb.2024.365243.1668
نویسندگان
Reza Mohammadigol* 1؛ Reza shahhoseini2
1Department of Biosystem Mechanics Engineering, Arak University, Arak, Iran
2Department of Medicinal Plants, Arak University, Arak, Iran
چکیده
Garlic (Allium sativum L.) is a valuable medicinal plant that is widely used in pharmaceutical, food, cosmetic, and hygiene industries due to the various products it contains in the form of extracts and powders. Non-destructive and rapid methods for assessing food quality are of interest to industries and research. In the present study, garlic powder was determined by spectrometry in the range of 936 to 1660 nm and chemometric techniques. For this purpose, 120 spectra were recorded from the prepared samples of garlic powders during the storage period of 3, 90, and 360 days. The effects of SNV, MSC, D1+SG, and D2+SG preprocessing methods on the performance of ANN, SVM, and KNN classifiers were investigated. The principal component analysis (PCA) technique was used to reduce the spectral variables, and the first 4 principal components (PCs) were considered as the input of the models. The D1+SG preprocessing showed the greatest effect on the identification of the spectra of the garlic powder samples. Results showed that the highest classification accuracy of 96.88% was achieved in all the three classifiers. The results of the present study confirm the feasibility of using the near-infrared (NIR) technique and chemometrics for the rapid identification of the freshness of garlic powder.
کلیدواژه‌ها
Freshness؛ Garlic powder؛ Near-infrared؛ Nondestructive؛ Spectroscopy
مراجع
  1. Tudu C.K., Dutta T., Ghorai M., Biswas P., Samanta D., Oleksak P., Dey A. Traditional uses, phytochemistry, pharmacology and toxicology of garlic (Allium sativum), a storehouse of diverse phytochemicals: A review of research from the last decade focusing on health and nutritional implications. Front. Nutr. 2022; 9: 1-19.
  2. Amarakoon S., Jayasekara D. A review on garlic (Allium sativum L.) as a functional food. J. Pharmacogn. Phytochem. 2017; 6(6): 1777-1780.
  3. Suleria H.R., Butt M.S., Khalid N., Sultan S., Raza A., Aleem M., Abbas M. Garlic (Allium sativum): diet based therapy of 21st century–a review. Asian Pacific J. Trop. Dis. 2015; 5(4): 271-278.
  4. Sharma G.P., Prasad S. Comparison of convective and microwave-convective drying of garlic: kinetics and energy consumption. J. Food Sci. Technol. 2002; 39 (6): 603-608.
  5. Kamenetsky R. Garlic: Botany and Horticulture. In: Horticulture Reviews, Ed. Janick J. John Wiley and Sons Publishing, New Jersey, U.S.A. 2007; 33: 123-138.
  6. El-Saber Batiha G., Magdy Beshbishy A.G., Wasef L., Elewa Y.H., Al-Sagan A., Abd El-Hack M.E., Prasad Devkota H. Chemical constituents and pharmacological activities of garlic (Allium sativum L.): A review. Nutrients 2020; 12(3): 1-21.
  7. Martins N., Petropoulos S., Ferreira I.C. Chemical composition and bioactive compounds of garlic (Allium sativum L.) as affected by pre-and post-harvest conditions: A review. Food Chem. 2016; 211: 41-50.
  8. Zhu D., Sadat A., Joye I.J., Vega C., Rogers M.A. Scientific gastronomy: On the mechanism by which garlic juice and allicin (thio-2-propene-1-sulfinic acid S-allyl ester) stabilize meringues. Food Chem. 2024; 431: 1-12.
  9. Ravindra J., Yathisha U.G., Nanjappa D.P., Kalladka K., Dhakal R., Chakraborty A., Chakraborty. Allicin extracted from Allium sativum shows potent anti-cancer and antioxidant properties in zebrafish. Biomed. Pharmacother. 2023; 169: 1-9.
  10. Salehi B., Zucca P., Orhan I.E., Azzini E., Adetunji C.O., Mohammed S.A., Ahmad Z. Allicin and health: A comprehensive review. Trends in Food Sci. Technol. 2019; 86: 502-516.
  11. Naheed Z., Cheng Z., Wu C., Wen Y., Ding H. Total polyphenols, total flavonoids, allicin and antioxidant capacities in garlic scape cultivars during controlled atmosphere storage. Postharvest Biol. Technol. 2017; 131: 39-45.
  12. Gonzalez, R.E., Burba, J.L., Camargo, A.B. A physiological indicator to estimate allicin content in garlic during storage. J. Food Biochem. 2013; 37(4): 449-455.
  13. Hughes J., Collin H.A., Tregova A., Tomsett A.B., Cosstick R., Jones M.G. Effect of low storage temperature on some of the flavour precursors in Garlic (Allium Sativum). Plant Foods Human Nutr. 2006; 61: 78-82.
  14. Ambrose A., Cho B.K. A review of technologies for detection and measurement of adulterants in cereals and cereal products. J. Biosyst. Engineer. 2014; 39(4): 357-365.
  15. Cortés V., BlascoJ., Aleixos N., Cubero S., Talens P. Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review. Trends Food Sci. Technol. 2019; 85: 138-148.
  16. Sánchez-Paternina A., Román-Ospino A.D., Martínez M., Mercado J., Alonso C., Romañach R.J. Near infrared spectroscopic transmittance measurements for pharmaceutical powder mixtures. J. Pharmaceut. Biomed. Anal. 2016; 123: 120-127.
  17. Daszykowski M., Kula M., Stanimirova I. Quantification and detection of ground garlic adulteration using fourier-transform near-infrared reflectance spectra. Foods 2023; 12(18): 1-14.
  18. Lohumi S., Lee S., Cho B.K. Optimal variable selection for Fourier transform infrared spectroscopic analysis of starch-adulterated garlic powder. Sens. Actuators B Chem. 2015; 216: 622-628.
  19. Wang D., Wei W., Lai Y., Yang X., Li S., Jia L., Wu D. Comparing the potential of near-and mid-infrared spectroscopy in determining the freshness of strawberry powder from freshly available and stored strawberry. J. Anal. Methods Chem. 2019; 2019: 1-10
  20. Rodríguez S.D., Rolandelli G., Buera M.P. Detection of quinoa flour adulteration by means of FT-MIR spectroscopy combined with chemometric methods. Food Chem. 2019; 274: 392-401.
  21. Kar S., Tudu B., Jana A., Bandyopadhyay R. FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder. Food Addit Contam. Part A. 2019; 36(6): 863-875.
  22. Nicolai B.M., Beullens K., Bobelyn E., Peirs A., Saeys W., Theron K.I., Lammertyn J. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest Biol. Technol. 2007; 46(2): 99-118.
  23. Jamshidi B., Minaei S., Mohajerani E., Ghassemian H. Reflectance Vis/NIR spectroscopy for nondestructive taste characterization of Valencia oranges. Comput. Electronics Agric. 2012; 85: 64-69.
  24. Teye E., Amuah C.L., McGrath T., Elliott C. Innovative and rapid analysis for rice authenticity using hand-held NIR spectrometry and chemometrics. Spectrochim. Acta Part A: Mol. Biomol. Spect. 2019; 217: 147-154.
  25. Ishikawa S.T., Gulick V.C. An automated mineral classifier using Raman spectra. Comput. Geosci. 2013; 54: 259-268.
  26. Callao M.P., Ruisánchez I. An overview of multivariate qualitative methods for food fraud detection. Food Control 2018; 86: 283-293.
  27. Shafiee S., Minaei S. Combined data mining/NIR spectroscopy for purity assessment of lime juice. Infrared Physics Technol. 2018; 91: 193-199.
  28. Kafle G.K., Khot L R., Jarolmasjed S., Yongsheng S., Lewis K. Robustness of near infrared spectroscopy based spectral features for non-destructive bitter pit detection in honeycrisp apples. Postharvest Biol. Technol. 2016; 120: 188-192.
  29. Amuah C.L., Teye E., Lamptey F.P., Nyandey K., Opoku-Ansah J., Adueming P.W. Feasibility study of the use of handheld NIR spectrometer for simultaneous authentication and quantification of quality parameters in intact pineapple fruits. J. Spectroscopy 2019; 2: 1-9.
  30. Kaiyan L., Chang L., Huiping S., Junhui W., Jiek C. Review on the Application of Machine Vision Algorithms in Fruit Grading Systems. Paper presented at the Emerging Trends in Intelligent and Interactive Systems and Applications: Proceedings of the 5th International Conference on Intelligent, Interactive Systems and Applications. 2021; 271-280.
  31. Acri G., Testagrossa B., Vermiglio G. FT-NIR analysis of different garlic cultivars. J. Food Meas. Charact. 2016; 10: 127-136.
  32. Wadood S.A., Guo B., Zhang X., Wei Y. Geographical origin discrimination of wheat kernel and white flour using near‐infrared reflectance spectroscopy fingerprinting coupled with chemometrics. International J. Food Sci. Technol. 2019; 54(6): 2045-2054.
  33. Horn B., Esslinger S., Pfister M., Fauhl-Hassek C., Riedl J. Non-targeted detection of paprika adulteration using mid-infrared spectroscopy and one-class classification–Is it data preprocessing that makes the performance. Food Chem. 2018; 257:112-119.
  34. Wanitchang P., Terdwongworakul A., Wanitchang J., Nakawajana N. Non-destructive maturity classification of mango based on physical, mechanical and optical properties. J. Food Engineer. 2011; 105(3): 477-484.
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