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Growth characteristics of three Fusarium species evaluated by near-infrared hyperspectral imaging and multivariate image analysis

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Abstract

Colony growth of three Fusarium spp. on potato dextrose agar was followed by collecting near-infrared (NIR) hyperspectral images of the colonies at regular intervals after inoculation up to 55 h. After principal component analysis (PCA), two clusters were apparent in the score plot along principal component 1. Using the brushing technique, these clusters were divided into four groups of pixels with similar score values. These could be visualised as growth zones within the colonies in the corresponding score image. Three spectral bands, i.e. 1,166, 1,380 and 1,918 nm, were prominent in the multiplicative scatter corrected and Savitzky–Golay second derivative spectra. These indicated chemical changes, associated with carbohydrates (1,166 and 1,380 nm) and protein (1,918 nm), that occurred as the mycelium grew and matured. The protein band was more prominent in the mature fungal material while the carbohydrate band was less pronounced. The younger material and the agar were characterised by the carbohydrate spectral band. Integrating whole mycelium colonies as the sum of pixels over time made it possible to construct curves that resembled growth curves; this included the lag phase, active growth phase, deceleration phase and phase of constant growth. Growth profiles constructed from individual growth zones indicated more detailed growth characteristics. The use of NIR hyperspectral imaging and multivariate image analysis (MIA) allowed one to visualise radial growth rings in the PCA score images. This would not have been possible with bulk spectroscopy. Interpreting spectral data enabled better understanding of microbial growth characteristics on agar medium. NIR hyperspectral imaging combined with MIA is a powerful tool for the evaluation of growth characteristics of fungi.

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References

  • Adejumo TO, Hettwer U, Karlovsky P (2007) Occurrence of Fusarium species and trichothecenes in Nigerian maize. Int J Food Microbiol 116(3):350–357

    Article  CAS  Google Scholar 

  • Alexandrakis D, Downey G, Scannell AGM (2008) Detection and identification of bacteria in an isolated system with near-infrared spectroscopy and multivariate analysis. J Agric Food Chem 56(10):3431–3437

    Article  CAS  Google Scholar 

  • Berardo N, Pisacane V, Battilani P, Scandolara A, Pietri A, Marocco A (2005) Rapid detection of kernel rots and mycotoxins in maize by near-infrared reflectance spectroscopy. J Agric Food Chem 53(21):8128–8134

    Article  CAS  Google Scholar 

  • Beyer M, Pogoda F, Ronellenfitsch FK, Hoffmann L, Udelhoven T (2010) Estimating deoxynivalenol contents of wheat samples containing different levels of Fusarium-damaged kernels by diffuse reflectance spectrometry and partial least square regression. Int J Food Microbiol 142(3):370–374

    Article  CAS  Google Scholar 

  • Booth C (1977) The genus Fusarium. Commonwealth Mycological Institute, Kew, Surrey, England

  • Burger J, Geladi P (2005) Hyperspectral NIR image regression part I: calibration and correction. J Chemom 19(5–7):355–363

    Article  CAS  Google Scholar 

  • Burger JE, Geladi PLM (2007) Hyperspectral image data conditioning and regression analysis. In: Grahn HF, Geladi P (eds) Techniques and applications of hyperspectral image analysis. Wiley, Chichester, pp 127–153

    Chapter  Google Scholar 

  • Cowe I, McNicol J (1985) The use of principal components in the analysis of near-infrared spectra. Appl Spectrosc 39(2):257–266

    Article  CAS  Google Scholar 

  • Del Fiore A, Reverberi M, Ricelli A, Pinzari F, Serranti S, Fabbri AA, Bonifazi G, Fanelli C (2010) Early detection of toxigenic fungi on maize by hyperspectral imaging analysis. Int J Food Microbiol 144(1):64–71

    Article  Google Scholar 

  • Delwiche S, Kim M, Dong Y (2011) Fusarium damage assessment in wheat kernels by Vis/NIR hyperspectral imaging. Sens Instrum Food Qual Saf 5(2):63–71

    Article  Google Scholar 

  • Dowell F, Ram M, Seitz L (1999) Predicting scab, vomitoxin, and ergosterol in single wheat kernels using near-infrared spectroscopy. Cereal Chem 76(4):573–576

    Article  CAS  Google Scholar 

  • Dowell FE, Pearson TC, Maghirang EB, Xie F, Wicklow DT (2002) Reflectance and transmittance spectroscopy applied to detecting fumonisin in single corn kernels infected with Fusarium verticillioides. Cereal Chem 79(2):222–226

    Article  CAS  Google Scholar 

  • Du C-J, Sun D-W (2004) Recent developments in the applications of image processing techniques for food quality evaluation. Trends Food Sci Technol 15(5):230–249

    Article  CAS  Google Scholar 

  • Dubois J, Neil Lewis E, Fry FS Jr, Calvey EM (2005) Bacterial identification by near-infrared chemical imaging of food-specific cards. Food Microbiol 22(6):577–583

    Article  CAS  Google Scholar 

  • Fernández-Ibañez V, Soldado A, Martínez-Fernández A, de la Roza-Delgado B (2009) Application of near infrared spectroscopy for rapid detection of aflatoxin B1 in maize and barley as analytical quality assessment. Food Chem 113(2):629–634

    Article  Google Scholar 

  • Geladi P, Grahn HF (1996) Multivariate image analysis. John Wiley & Sons Ltd, Chichester

    Google Scholar 

  • Geladi P, MacDougall D, Martens H (1985) Linearizaton and scatter-correction for near-infrared reflectance spectra of meat. Appl Spectrosc 39(3):491–500

    Article  Google Scholar 

  • Geladi P, Grahn HF, Burger J (2007) Multivariate images, hyperspectral imaging: background and equipment. In: Grahn HF, Geladi P (eds) Techniques and applications of hyperspectral image analysis. Wiley, Chichester, pp 1–14

    Chapter  Google Scholar 

  • Goetz AFH, Vane G, Solomon TE, Rock BN (1985) Imaging spectrometry for earth remote sensing. Science 228:1147–1153

    Article  CAS  Google Scholar 

  • Gow NAR, Gooday GW (1982) Growth kinetics and morphology of colonies of the filamentous form of Candida albicans. J Gen Microbiol 128(9):2187–2194

    CAS  Google Scholar 

  • Gowen AA, O'Donnell CP, Cullen PJ, Downey G, Frias JM (2007) Hyperspectral imaging: an emerging process analytical tool for food quality and safety control. Trends Food Sci Technol 18(12):590–598

    Article  CAS  Google Scholar 

  • Jenkinson P, Parry DW (1994) Isolation of Fusarium species from common broad-leaved weeds and their pathogenicity to winter wheat. Mycol Res 98(7):776–780

    Article  Google Scholar 

  • Manley M, du Toit G, Geladi P (2011) Tracking diffusion of conditioning water in single wheat kernels of different hardnesses by near infrared hyperspectral imaging. Anal Chim Acta 686(1–2):64–75

    Article  CAS  Google Scholar 

  • Manley M, McGoverin CM, Engelbrecht P, Geladi P (2012) Influence of grain topography on near infrared hyperspectral images. Talanta 89:223–230

    Article  CAS  Google Scholar 

  • Marasas WFO (1995) Fumonisins: their implications for human and animal health. Nat Toxins 3(4):193–198

    Article  CAS  Google Scholar 

  • Marasas WFO (2001) Discovery and occurence of the Fumonisins: a historical perspective. Environ Heal Perspect 109:239–243

    CAS  Google Scholar 

  • Nganje WE, Bangsund DA, Leistritz FL, Wilson WW, Tiapo NM (2004) Regional economic impacts of Fusarium head blight in wheat and barley. Appl Econ Perspect Policy 26(3):332–347

    Google Scholar 

  • Peng Y, Zhang J, Wang W, Li Y, Wu J, Huang H, Gao X, Jiang W (2011) Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles. J Food Eng 102(2):163–169

    Article  Google Scholar 

  • Pirt SJ (1966) A theory of the mode of growth of fungi in the form of pellets in submerged culture. Proc R Soc London, Ser B 166(1004):369–373

    Article  CAS  Google Scholar 

  • Pirt SJ (1967) A kinetic study of the mode of growth of surface colonies of bacteria and fungi. J Gen Microbiol 47(2):181–197

    Article  CAS  Google Scholar 

  • Plomley N (1959) Formation of the colony in the fungus Chaetomium. Aust J Biol Sci 12(1):53–64

    Google Scholar 

  • Rodriguez-Saona LE, Khambaty FM, Fry FS, Calvey EM (2001) Rapid detection and identification of bacterial strains by Fourier transform near-infrared spectroscopy. J Agric Food Chem 49(2):574–579

    Article  CAS  Google Scholar 

  • Salas B, Steffenson B, Casper H, Tacke B, Prom L, Fetch T Jr, Schwarz P (1999) Fusarium species pathogenic to barley and their associated mycotoxins. Plant Dis 83(7):667–674

    Article  CAS  Google Scholar 

  • Savitzky A, Golay M (1964) Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 36:1627–1639

    Article  CAS  Google Scholar 

  • Shahin MA, Symons SJ (2011) Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis. Comput Electron Agric 75(1):107–112

    Article  Google Scholar 

  • Siripatrawan U, Makino Y, Kawagoe Y, Oshita S (2011) Rapid detection of Escherichia coli contamination in packaged fresh spinach using hyperspectral imaging. Talanta 85(1):276–281

    Article  CAS  Google Scholar 

  • Steele G, Trinci A (1975) Morphology and growth kinetics of hyphae of differentiated and undifferentiated mycelia of Neurospora crassa. J Gen Microbiol 91(2):362

    Article  CAS  Google Scholar 

  • Suthiluk P, Saranwong S, Kawano S, Numthuam S, Satake T (2008) Possibility of using near infrared spectroscopy for evaluation of bacterial contamination in shredded cabbage. Int J Food Sci Technol 43(1):160–165

    Article  CAS  Google Scholar 

  • Trinci APJ (1969) A kinetic study of the growth of Aspergillus nidulans and other fungi. J Gen Microbiol 57(1):11–24

    Article  CAS  Google Scholar 

  • Trinci A (1971) Influence of the width of the peripheral growth zone on the radial growth rate of fungal colonies on solid media. J Gen Microbiol 67(3):325–344

    Article  Google Scholar 

  • Trinci A (1974) A study of the kinetics of hyphal extension and branch initiation of fungal mycelia. J Gen Microbiol 81(1):225–236

    Article  CAS  Google Scholar 

  • Wang W, Paliwal J (2007) Near-infrared spectroscopy and imaging in food quality and safety. Sens Instrum Food Qual Saf 1(4):193–207

    Article  Google Scholar 

  • Williams P, Manley M, Fox G, Geladi P (2010) Indirect detection of Fusarium verticillioides in maize (Zea mays L.) kernels by near infrared hyperspectral imaging. J Near Infrared Spectrosc 18(1):49–58

    Article  CAS  Google Scholar 

  • Williams PJ, Geladi P, Britz TJ, Manley M (2012a) Investigation of fungal development in maize kernels using NIR hyperspectral imaging and multivariate data analysis. J Cereal Sci 55(3):272–278

    Article  Google Scholar 

  • Williams PJ, Geladi P, Britz TJ, Manley M (2012b) Near-infrared (NIR) hyperspectral imaging and multivariate image analysis to study growth characteristics and differences between species and strains of members of the genus Fusarium. Anal Bioanal Chem. doi:10.1007/s00216-012-6313-z

  • Yanagita T, Kogane F (1962) Growth and cytochemical differentiation of mold colonies. J Gen Appl Microbiol 8(4):201–213

    Article  Google Scholar 

  • Yao H, Hruska Z, Kincaid R, Brown R, Cleveland T (2008) Differentiation of toxigenic fungi using hyperspectral imagery. Sens Instrum Food Qual Saf 2(3):215–224

    Article  Google Scholar 

  • Yoon S, Lawrence K, Line J, Siragusa G, Feldner P, Park B, Windham W (2010) Detection of Campylobacter colonies using hyperspectral imaging. Sens Instrum Food Qual Saf 4(1):35–49

    Article  Google Scholar 

  • Zalokar M (1959a) Enzyme activity and cell differentiation in Neurospora. Am J Bot 46(7):555–559

    Article  CAS  Google Scholar 

  • Zalokar M (1959b) Growth and differentiation of Neurospora hyphae. Am J Bot 46(8):602–610

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported financially by the National Research Foundation (NRF; IFR2011032500120) as well as the Maize Trust. Student grants (PJ Williams) were funded by the Maize Trust and the NRF (SFH2008051900007). The authors thank Prof Alvaro Viljoen and Dr Ilze Vermaak (Tshwane University of Technology, Pretoria) for use of the SisuCHEMA instrument and Prof Altus Viljoen and Lindy Rose (Department of Plant Pathology, Stellenbosch University) for supplying fungal cultures and assisting with spore preparation. The South African-Swedish Research Partnership Programme Bilateral Agreement, NRF, South Africa (UID 70863) and the Swedish Research Council (VR sida 348-2009-6461) provided funding for exchange of researchers.

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Correspondence to Marena Manley.

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Williams, P.J., Geladi, P., Britz, T.J. et al. Growth characteristics of three Fusarium species evaluated by near-infrared hyperspectral imaging and multivariate image analysis. Appl Microbiol Biotechnol 96, 803–813 (2012). https://doi.org/10.1007/s00253-012-4380-x

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  • DOI: https://doi.org/10.1007/s00253-012-4380-x

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