Journal of Innovative Optical Health Sciences, 2018, 11 (5): 1850031, Published Online: Dec. 26, 2018  

Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging

Author Affiliations
1 College of Engineering, China Agricultural University Beijing 100083, P. R. China
2 College of Mechanical and Electrical Engineering Zhongkai University of Agriculture Engineering Guangzhou 510225, P. R. China
3 Crop Genetics and Breeding Research Unit USDA-ARS, 2747 Davis Road, Tifton, GA 31793, USA
4 College of Food Science & Nutritional Engineering China Agricultural University, Beijing 100083, P, R. China
5 Quality & Safety Assessment Research Unit U.S. National Poultry Research Center, USDA-ARS 950 College Station Rd., Athens, GA 30605, USA
6 Quality & Safety Assessment Research Unit USDA-ARS, Athens, GA 30605, USA
7 Institute of Food Science and Technology Jiangsu Academy of Agricultural Sciences Nanjing 210014, P. R. China
8 Multidisciplinary Initiative Center Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049, P. R. China
9 Lingang Experimental Middle School Linyi 276624, P. R. China
Abstract
The growth characteristics of Aspergillus parasiticus incubated on two culture media were examined using shortwave infrared (SWIR, 1000–2500 nm) hyperspectral imaging (HSI) in this work. HSI images of the A. parasiticus colonies growing on rose bengal medium (RBM) and maize agar medium (MAM) were recorded daily for 6 days. The growth phases of A. parasiticus were indicated through the pixel number and average spectra of colonies. On score plot of the first principal component (PC1 T and PC2, four growth zones with varying mycelium densities were identified. Eight characteristic wavelengths (1095, 1145, 1195, 1279, 1442, 1655, 1834 and 1929 nm) were selected from PC1 loading, average spectra of each colony as well as each growth zone. Furthermore, support vector machine (SVM) classifier based on the eight wavelengths was built, and the classification accuracies for the four zones (from outer to inner zones) on the colonies on RBM were 99.77%, 99.35%, 99.75% and 99.60% and 99.77%, 99.39%, 99.31% and 98.22% for colonies on MAM. In addition, a new score plot of PC2 and PC3 was used to differentiate the colonies incubated on RBM and MAM for 6 days. Then characteristic wavelengths of 1067, 1195, 1279, 1369, 1459, 1694, 1834 and 1929 nm were selected from the loading of PC2 and PC3. Based on them, a new SVM model was developed to differentiate colonies on RBM and MAM with accuracy of 100.00% and 99.99%, respectively. In conclusion, SWIR hyperspectral image is a powerful tool for evaluation of growth characteristics of A. parasiticus incubated in different culture media.
References

[1] H. Palacios-Cabrera, M. H. Taniwaki, J. M. Hashimoto, H. C. D. Menezes, "Growth of Aspergillus ochraceus, A. carbonarius and A. niger on culture media at different water activities and temperatures," Braz. J. Microbiol. 36(1), 24–28 (2005).

[2] S. P. Kale, J. W. Cary, D. Bhatnagar, J. W. Bennett, "Characterization of experimentally induced, nonaflatoxigenic variant strains of Aspergillus parasiticus," Appl. Environ. Microbiol. 62(9), 3399–3404 (1996).

[3] M. E. Cawood, W. C. Gelderblom, R. Vleggaar, Y. Behrend, P. G. Thiel, W. F. Marasas, "Isolation of the fumonisin mycotoxins:A quantitative approach," J. Agric. Food Chem. 39(11), 1958–1962 (1991).

[4] Y. Sun, X. Gu, Z. Wang, Y. Huang, Y. Wei, M. Zhang, T. Kang, L. Pan, "Growth simulation and discrimination of Botrytis Cinerea, Rhizopus Stolonifer and Colletotrichum Acutatum using hyperspectral reflectance imaging," PloS one 10(12), e0143400 (2015).

[5] S. E. Matcham, B. R. Jordan, D. A. Wood, "Estimation of fungal biomass in a solid substrate by three independent methods," Appl. Microbiol. Biotechnol. 21(1), 108–112 (1985).

[6] L. Edelstein, L. A. Segel, "Growth and metabolism in mycelial fungi," J. Theor. Biol. 104(2), 187–210 (1983).

[7] G. Sharma, "Influence of culture media on growth, colony character and sporulation of fungi isolated from decaying vegetable wastes," J. Yeast Fungal Res. 1(8), 157–164 (2010).

[8] H. Kalkan, P. Beriat, Y. Yardimci, T. C. Pearson, "Detection of contaminated hazelnuts and ground red chili pepper flakes by multispectral imaging," Comput. Electron. Agr. 77(1), 28–34 (2011).

[9] K. Degardin, A. Guillemain, N. V. Guerreiro, Y. Roggo, "Near infrared spectroscopy for counterfeit detection using a large database of pharmaceutical tablets," J. Pharm. Biomed. Anal. 128, 89–97. (2016).

[10] P. J. Williams, P. Geladi, T. J. Britz, M. Manley, "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. 404(6–7), 1759–1769 (2012a).

[11] P. J. Williams, P. Geladi, T. J. Britz, M. Manley, "Growth characteristics of three Fusarium species evaluated by near-infrared hyperspectral imaging and multivariate image analysis," Appl. Microbiol. Biotechnol. 96(3), 803–813 (2012b).

[12] J. Jin, L. Tang, Z. Hruska, H. Yao, "Classification of toxigenic and atoxigenic strains of Aspergillus flavus with hyperspectral imaging," Comput. Electron. Agr. 69(2), 158–164 (2009).

[13] H. Yao, Z. Hruska, R. Kincaid, R. L. Brown, T. E. Cleveland, "Differentiation of toxigenic fungi using hyperspectral imagery," Sens. Instrumen. Food Qual. 2(3), 215–224 (2008).

[14] P. J. Williams, S. Kucheryavskiy, "Classification of maize kernels using NIR hyperspectral imaging," Food Chem. 209, 131–138 (2016).

[15] T. L. Kammies, M. Manley, P. A. Gouws, P. J. Williams, "Differentiation of foodborne bacteria using NIR hyperspectral imaging and multivariate data analysis," Appl. Microbiol. Biotechnol. 100(21), 9305–9320 (2016).

[16] M. Kamruzzaman, G. ElMasry, D. W. Sun, P. Allen, "Application of NIR hyperspectral imaging for discrimination of lamb muscles," J. Food Eng. 104(3), 332–340 (2011).

[17] F. Melgani, L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Electron. 42(8), 1778–1790 (2004).

[18] P. Williams, M. Manley, G. Fox, P. Geladi, "Indirect detection of fusarium verticillioides in maize (zea maize l.) kernels by nir hyperspectral imaging," J. Near Infrared Spectrosc. 18(1), 49–58 (2010).

[19] G. Georgiou, M. L. Shuler, "A computer model for the growth and differentiation of a fungal colony on solid substrate," Biotechnol. Bioeng. 28(3), 405–416 (1986).

[20] G. Steinberg, "Hyphal growth: A tale of motors, lipids, and the Spitzenk€orper," Eukaryotic cell 6(3), 351–360 (2007).

[21] A. P. J. Trinci, "A kinetic study of the growth of Aspergillus nidulans and other fungi," Microbiol. 57(1), 11–24 (1969).

[22] M. Gougouli, K. P. Koutsoumanis, "Modelling growth of Penicillium expansum and Aspergillus niger at constant and fluctuating temperature conditions," Int. J. Food Microbiol. 140(2) 254–262 (2010).

[23] S. Gao, G. D. Lewis, M. Ashokkumar, Y. Hemar, "Inactivation of microorganisms by low-frequency high-power ultrasound: Effect of growth phase and capsule properties of the bacteria," Ultrason. Sonochem. 21(1), 446–453 (2014).

[24] D. A. Burns, E. W. Ciurczak, Eds., Handbook of Near-Infrared Analysis (CRC Press, 2007), pp. 356–357.

[25] J. Workman Jr., L. Weyer, Practical Guide to Interpretive Near-Infrared Spectroscopy, CRC Press (2007).

[26] D. Gottlieb, J. L. Van Etten, "Biochemical changes during the growth of fungi I. Nitrogen compounds and carbohydrate changes in penicilliumatrovenetum," J. Bacteriol. 88(1), 114–121 (1964).

[27] A. Beauvais, T. Fontaine, V. Aimanianda, J. P. Latge, "Aspergillus cell wall and biofilm," Mycopathologia 178(5–6), 371 (2014).

[28] D. R. Gifford, S. E. Schoustra, "Modelling colony population growth in the filamentous fungus Aspergillus nidulans," J. Theor. Biol. 320, 124–130 (2013).

[29] T. H. Adams, J. K. Wieser, J. H. Yu, "Asexual sporulation in Aspergillus nidulans," Microbiol. Mol. Biol. Rev. 62(1), 35–54 (1998).

[30] M. David, D. R. Geoffrey, P. J. T. Anthony, 21st Century Guidebook to Fungi (Cambridge University Press, 2016), http://www. davidmoore.org.uk/ 21st Century Guidebook to Fungi PLATINUM/ Ch04 06.htm.

[31] M. Manley, G. Du Toit, P. Geladi, "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 (2011).

[32] J. W. Wimpenny, "The growth and form of bacterial colonies," Microbiol. 114(2), 483–486 (1979).

[33] J. Jiang, X. Qiao, R. He, "Use of Near-Infrared hyperspectral images to identify moldy peanuts," J. Food Eng. 169, 284–290 (2016).

Xuan Chu, Wei Wang, Xinzhi Ni, Haitao Zheng, Xin Zhao, Hong Zhuang, Kurt C., Chunyang Li, Yufeng Li, Chengjun Lu. Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging[J]. Journal of Innovative Optical Health Sciences, 2018, 11(5): 1850031.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!