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METHODS FOR IDENTIFICATION OF MOLDS IN FOODS

Year 2019, , 692 - 706, 01.08.2019
https://doi.org/10.15237/gida.GD19044

Abstract

Molds are ubiquitous microorganisms in nature found on
air, soil, water and organic matter. Molds can adversely affect the health of
humans and animals by producing toxic metabolites. Molds also cause spoilage of
foods which results in economic loss. Identification of molds grown in foods is
crucial for the studies on inhibition of mold growth on foods, knowledge of
resistant and mycotoxigenic species. Conventional identification procedures are
based on the recognition of the colony morphology and microscobic observations.
Since traditional identification procedures are time consuming and require
specified personnel, there is a need for more rapid and reliable techniques to
identify molds. Rapid methods are expensive and need to be standardized with
extensive studies due to insufficient databases. Combination of conventional
and rapid methods increases the accuracy of the studies. In this review,
conventional, molecular, matrix-assisted laser desorption/ionisation time-of-flight
(MALDI-TOF) and fourier transform infrared spectroscopy (FT-IR) methods used to
identify molds were investigated.

References

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  • Angeletti, S. (2017). Matrix assisted laser desorption time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology. Journal of Microbiological Methods 138: 20-29.
  • Anwer, S.S., Ali, G.A., Hamadamin, C.Z., Jaafar, H.Y. (2017). Isolation and identification of fungi from fast food restaurants in Langa Bazar. International Journal of Environment, Agriculture and Biotechnology 2(4): 1517-1522.
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  • Bernáldez, V., Rodríguez, A., Rodríguez, M., Sánchez-Montero, L., Córdoba, J.J. (2017). Evaluation of different RNA extraction methods of filamentous fungi in various food matrices. LWT-Food Science and Technology 78: 47-53.
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  • Cassagne, C., Ranque, S., Normand, A.C., Fourquet, P., Thiebault, S., Planard, C.,Hendrickx M, Piarroux, R. (2011). Mould routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS One 6(12): e28425.
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  • Dulla, E.L., Kathera, C., Gurijala, H.K., Mallakuntla, T.R., Srinivasan, P., Prasad, V., Mopati R.D., Jasti, P.K. (2016). Highlights of DNA Barcoding in identification of salient microorganisms like fungi. Journal de Mycologie Medicale 26(4): 291-297.
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  • Flórez, A.B., Álvarez-Martín, P., López-Díaz, T.M., Mayo, B. (2007). Morphotypic and molecular identification of filamentous fungi from Spanish blue-veined Cabrales cheese, and typing of Penicillium roqueforti and Geotrichum candidum isolates. International Dairy Journal 17(4): 350-357.
  • Francesca, N., Gaglio, R., Stucchi, C., De Martino, S., Moschetti, G., Settanni, L. (2018). Yeasts and moulds contaminants of food ice cubes and their survival in different drinks. Journal of Applied Microbiology 124(1): 188-196.
  • Garcia, M.V., Parussolo, G., Moro, C.B., Bernardi, A.O., Copetti, M.V. (2018). Fungi in spices and mycotoxigenic potential of some Aspergilli isolated. Food microbiology 73: 93-98.
  • Garnier, L., Valence, F., Pawtowski, A., Auhustsinava-Galerne, L., Frotté, N., Baroncelli, R., Deniel, F., Coton, E., Mounier, J. (2017). Diversity of spoilage fungi associated with various French dairy products. International Journal of Food Microbiology 241: 191-197.
  • Gautier, M., Ranque, S., Normand, A.C., Becker, P., Packeu, A., Cassagne, C., L’Ollivier, C., Hendrickx, M., Piarroux, R. (2014). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: revolutionizing clinical laboratory diagnosis of mould infections. Clinical Microbiology and Infection 20(12): 1366-1371.
  • Guimaraes, A., Santiago, A., Teixeira, J.A., Venâncio, A., Abrunhosa, L. (2018). Anti-aflatoxigenic effect of organic acids produced by Lactobacillus plantarum. International journal of food microbiology 264: 31-38.
  • Hawksworth, D.L. (2015). Naming fungi involved in spoilage of food, drink, and water. Current Opinion in Food Science 5: 23-28.
  • Hayaloğlu, A.A., Kırbağ, S. (2007). Microbial quality and presence of moulds in Kuflu cheese. International Journal of Food Microbiology 115(3): 376-380.
  • Hendrickx, M. (2017). MALDI-TOF MS and filamentous fungal identification: A Success Story. Current Fungal Infection Reports 11(2): 60-65.
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GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER

Year 2019, , 692 - 706, 01.08.2019
https://doi.org/10.15237/gida.GD19044

Abstract

Küfler doğada hava, toprak, su ve organik maddeler
üzerinde yaygın olarak bulunabilen mikroorganizmalardır. Küfler tarafından üretilen
toksik metabolitler nedeniyle, küflerin insan ve hayvan sağlığı üzerinde
olumsuz etkileri bulunmaktadır. Küfler gıdaların bozulmasına neden olarak
ekonomik kayıplara da sebep olmaktadır. Gıdalarda gelişen küflerin tanımlanması
dirençli türler, mikotoksijenik türler ve küf gelişiminin inhibisyonu gibi
konularda çalışmalar yapılmasında gereklidir. Küflerin tanımlanması koloni
morfolojisi ve mikroskobik özelliklerinin belirlenmesine dayanan geleneksel
yöntemler ile gerçekleştirilmektedir. Geleneksel yöntemlerin zaman alıcı olması
ve deneyimli personel gerektirmesi nedeniyle, daha hızlı ve güvenilir
yöntemlere ihtiyaç duyulmaktadır. Hızlı yöntemlerin maliyeti yüksek olup, aynı
zamanda veri tabanlarının yetersiz olması nedeniyle kapsamlı araştırmalar ile standartlaştırılması
gerekmektedir. Geleneksel ve hızlı yöntemlerin birlikte kullanılması
çalışmaların doğruluğunu arttırmaktadır. Bu derleme çalışmasında, küflerin
tanımlanmasında kullanılan geleneksel yöntemler, moleküler yöntemler, matriks
ile desteklenmiş lazer desorpsiyon/iyonizasyon uçuş zamanı kütle spektrometresi
(MALDI-TOF MS) ve fourier transform infrared spektroskopisi (FT-IR) yöntemleri
incelenmiştir.

References

  • Alía, A., Andrade, M.J., Rodríguez, A., Reyes-Prieto, M., Bernáldez, V., Córdoba, J.J. (2016). Identification and control of moulds responsible for black spot spoilage in dry-cured ham. Meat Science122: 16-24, doi: 10.1016/j.meatsci.2016.07.007.
  • Angeletti, S. (2017). Matrix assisted laser desorption time of flight mass spectrometry (MALDI-TOF MS) in clinical microbiology. Journal of Microbiological Methods 138: 20-29.
  • Anwer, S.S., Ali, G.A., Hamadamin, C.Z., Jaafar, H.Y. (2017). Isolation and identification of fungi from fast food restaurants in Langa Bazar. International Journal of Environment, Agriculture and Biotechnology 2(4): 1517-1522.
  • Banjara, N., Suhr, M.J., Hallen-Adams, H.E. (2015). Diversity of yeast and mold species from a variety of cheese types. Current microbiology 70(6): 792-800.
  • Bavaro, S.L., Susca, A., Frisvad, J.C., Tufariello, M., Chytiri, A., Perrone, G., Mita, G., Logrieco, A.F., Bleve, G. (2017). Isolation, characterization, and selection of molds associated to fermented black table olives. Frontiers in microbiology 8: 1356, doi: 10.3389/fmicb.2017.01356.
  • Bernáldez, V., Rodríguez, A., Rodríguez, M., Sánchez-Montero, L., Córdoba, J.J. (2017). Evaluation of different RNA extraction methods of filamentous fungi in various food matrices. LWT-Food Science and Technology 78: 47-53.
  • Bhunia, A.K. (2018). Molds and Mycotoxins. In: Foodborne Microbial Pathogens, Springer, New York, NY, pp. 167-174.
  • Cassagne, C., Normand, A.C., L'ollivier, C., Ranque, S., Piarroux, R. (2016). Performance of MALDI-TOF MS platforms for fungal identification. Mycoses 59(11): 678-690.
  • Cassagne, C., Ranque, S., Normand, A.C., Fourquet, P., Thiebault, S., Planard, C.,Hendrickx M, Piarroux, R. (2011). Mould routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS One 6(12): e28425.
  • Chalupová, J., Raus, M., Sedlářová, M., Šebela, M. (2014). Identification of fungal microorganisms by MALDI-TOF mass spectrometry. Biotechnology Advances 32(1): 230-241.
  • Ciardo, D.E., Schär, G., Altwegg, M., Böttger, E.C., Bosshard, P.P. (2007). Identification of moulds in the diagnostic laboratory-an algorithm implementing molecular and phenotypic methods. Diagnostic Microbiology and Infectious Disease 59(1): 49-60.
  • Criseo, G., Scordino, F., Romeo, O. (2015). Current methods for identifying clinically important cryptic Candida species. Journal of Microbiological Methods 111: 50-56.
  • Çavuş, S., Tornuk, F., Sarioglu, K., Yetim, H. (2018). Determination of mold contamination and aflatoxin levels of the meat products/ingredients collected from Turkey market. Journal of Food Safety 38(5): e12494, doi: 10.1111/jfs.12494
  • Drissner, D., Freimoser, F.M. (2017). MALDI-TOF mass spectroscopy of yeasts and filamentous fungi for research and diagnostics in the agricultural value chain. Chemical and Biological Technologies in Agriculture 4(1): 13, doi: 10.1186/s40538-017-0095-7.
  • Dulla, E.L., Kathera, C., Gurijala, H.K., Mallakuntla, T.R., Srinivasan, P., Prasad, V., Mopati R.D., Jasti, P.K. (2016). Highlights of DNA Barcoding in identification of salient microorganisms like fungi. Journal de Mycologie Medicale 26(4): 291-297.
  • El-Fadaly, H.M., El-Kadi, S.M., Hamad, M.N., Habib, A.A. (2015). Isolation and identification of Egyptian Ras Cheese (Romy) contaminating fungi during ripening period. Journal of Microbiology Research 5(1): 1-10.
  • Erukhimovitch, V., Tsror, L., Hazanovsky, M., Talyshinsky, M., Mukmanov, I., Souprun, Y., Huleihel, M. (2005). Identification of fungal phyto-pathogens by Fourier-Transform Infrared (FTIR) microscopy. J Agric Technol 1(1): 145-52.
  • Fatimoh, A.O., Moses, A.A., Adekunle, O.B., Dare, O.E. (2017). Isolation and identification of rot fungi on post-harvest of pepper. Aascıt Journal of Biology 3(5): 24-29.
  • Fapohunda, S.O., Moore, G.G., Aroyeun, S.O., Ayeni, K.I., Aduroja, D.E., Odetunde, S.K. (2018). Isolation and characterization of fungi isolated from Nigerian cocoa samples. Current Life Sciences 4(3): 46-52.
  • Fischer, G., Braun, S., Thissen, R., Dott, W. (2006). FT-IR spectroscopy as a tool for rapid identification and intra-species characterization of airborne filamentous fungi. Journal of Microbiological Methods 64(1): 63-77.
  • Flórez, A.B., Álvarez-Martín, P., López-Díaz, T.M., Mayo, B. (2007). Morphotypic and molecular identification of filamentous fungi from Spanish blue-veined Cabrales cheese, and typing of Penicillium roqueforti and Geotrichum candidum isolates. International Dairy Journal 17(4): 350-357.
  • Francesca, N., Gaglio, R., Stucchi, C., De Martino, S., Moschetti, G., Settanni, L. (2018). Yeasts and moulds contaminants of food ice cubes and their survival in different drinks. Journal of Applied Microbiology 124(1): 188-196.
  • Garcia, M.V., Parussolo, G., Moro, C.B., Bernardi, A.O., Copetti, M.V. (2018). Fungi in spices and mycotoxigenic potential of some Aspergilli isolated. Food microbiology 73: 93-98.
  • Garnier, L., Valence, F., Pawtowski, A., Auhustsinava-Galerne, L., Frotté, N., Baroncelli, R., Deniel, F., Coton, E., Mounier, J. (2017). Diversity of spoilage fungi associated with various French dairy products. International Journal of Food Microbiology 241: 191-197.
  • Gautier, M., Ranque, S., Normand, A.C., Becker, P., Packeu, A., Cassagne, C., L’Ollivier, C., Hendrickx, M., Piarroux, R. (2014). Matrix-assisted laser desorption ionization time-of-flight mass spectrometry: revolutionizing clinical laboratory diagnosis of mould infections. Clinical Microbiology and Infection 20(12): 1366-1371.
  • Guimaraes, A., Santiago, A., Teixeira, J.A., Venâncio, A., Abrunhosa, L. (2018). Anti-aflatoxigenic effect of organic acids produced by Lactobacillus plantarum. International journal of food microbiology 264: 31-38.
  • Hawksworth, D.L. (2015). Naming fungi involved in spoilage of food, drink, and water. Current Opinion in Food Science 5: 23-28.
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There are 69 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Gülten Gündüz

İlkim Emenli This is me

Publication Date August 1, 2019
Published in Issue Year 2019

Cite

APA Gündüz, G., & Emenli, İ. (2019). GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER. Gıda, 44(4), 692-706. https://doi.org/10.15237/gida.GD19044
AMA Gündüz G, Emenli İ. GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER. GIDA. August 2019;44(4):692-706. doi:10.15237/gida.GD19044
Chicago Gündüz, Gülten, and İlkim Emenli. “GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER”. Gıda 44, no. 4 (August 2019): 692-706. https://doi.org/10.15237/gida.GD19044.
EndNote Gündüz G, Emenli İ (August 1, 2019) GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER. Gıda 44 4 692–706.
IEEE G. Gündüz and İ. Emenli, “GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER”, GIDA, vol. 44, no. 4, pp. 692–706, 2019, doi: 10.15237/gida.GD19044.
ISNAD Gündüz, Gülten - Emenli, İlkim. “GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER”. Gıda 44/4 (August 2019), 692-706. https://doi.org/10.15237/gida.GD19044.
JAMA Gündüz G, Emenli İ. GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER. GIDA. 2019;44:692–706.
MLA Gündüz, Gülten and İlkim Emenli. “GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER”. Gıda, vol. 44, no. 4, 2019, pp. 692-06, doi:10.15237/gida.GD19044.
Vancouver Gündüz G, Emenli İ. GIDALARDA BULUNAN KÜFLERİN TANIMLANMASINDA KULLANILAN YÖNTEMLER. GIDA. 2019;44(4):692-706.

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