ESTIMATING CHLOROPHYLL CONTENT IN THE DUCKWEED FRONDS BY EXAMINATION OF PHOTO-IMAGES FOR WATER QUALITY CONTROL 

Valiev Renat Shavkatovich, Engineer, sub-department of ecology and design, Engels Technological Institute (branch),Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), rw_84@mail.ru
Olshanskaya Ljubov' Nikolaevna, Doctor of chemical sciences, professor, head of sub-department of ecology and design, Engels Technological Institute (branch),Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), ecos123@mail.ru
Ivanchenko Ljubov' Sergeevna, Student, Engels Technological Institute (branch),Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), ecos123@mail.ru

57.087.3

10.21685/2307-9150-2017-1-7

Background. Representatives of the duckweed family are actively used for water quality testing in laboratory practices. The aim of this study is to develop a generalalgorithm for quantitative estimation of the total chlorophyll in the duckweed frond tissues by analyzing photo-images for water quality control in laboratory conditions.
Materials and methods. The research was conducted on the aquarium culture of Lemna perpusilla in sulfate solutions of copper and cadmium, CMe = 1 mg/l. The chlorophyll content was determined using the photocolorimetric method in alcoholic extracts. The brightness of color channels on the photos of the plants was
established in ImageJ program. Mathematical models were built using the R statistical  language and environment.
Results. The obtained results showed a notable decreasing of the chlorophyll a content in the fronds after a day-long exposure of the plants to copper sulfate solution. In the same conditions the concentration of chlorophyll b was increasing for the first two days, after that a gradual decline of its content was observed till the eighth day of the study. The green and blue channels were the most variable color channels on the photos; the proportion of the red color on the photos of the duckweed plant was almost unchanged. Based on the data, some regression models linking the concentrations of the photosynthetic pigments and the brightness of the color channels were built. The adequacy of the models was tested in an experiment on an impact of cadmium solution on the duckweed.
Conclusions. The authors have suggested a general algorithm allowing to build dependencies for quantitative estimation of green pigments in the duckweed fronds based on the photo image analysis.

duckweed family, chlorophyll, photo image, regression model

1. Patel D. K., Kanungo V. K. The bioscan. 2010, no. 5 (3), pp. 355–358.
2. Khellaf N., Zerdaoui M. Iranian journal of environmental health science & engineering. 2009, vol. 6, no. 3, pp. 161–166.
3. Observation Parameters of the Duckweed Growth Inhibition Test Frond number – Total Frond Area – Dry weight. Available at: www.Lemnatec.com/Literatur/LT001.pdf
4. Vorob'ev V. N., Nevmerzhitskaya Yu. Yu., Khusnetdinova L. Z., Yakushenkova T. P. Praktikum po fiziologii rasteniy: ucheb.-metod. posobie [Plant physiology tutorial: workbook]. Kazan: Kazanskiy universitet, 2013, 80 p.
5. Kawashima Sh., Nakatani M. Annals of Botany. 1998, no. 81, pp. 49–54.
6. Richardson A. D., Jenkins J. P., Braswel B. H., Hollinger D. Y., Ollinger S. V., Smith M.-L. Oecologia. 2007, vol. 152, no. 2, pp. 323–334.
7. Shibghatallah M. A. H., Khotimah S. N., Suhandono S. Measuring Leaf Chlorophyll Concentration from Its Color: A Way in Monitoring Environment Change to Plantations. Available at: http://arxiv.org/pdf/1305.1148v2.pdf
8. Padmaja V., Dey A. K. International journal of innovative research in electrical, electronics, instrumentation and control engineering. 2015, vol. 3, no. 7, pp. 7–10.
9. Les D. H., Landolt E., Crawford D. J. Plant Systematics and Evolution. 1997, vol. 204, pp. 161–177.
10. Synthetic Media for Growing Duckweeds. Available at: http://www.mobot.org/ jwcross/ duckweed/ duckweed2.htm
11. R Core Team (2015). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: https://www.R-project. org/ (accessed May 13, 2016).
12. Chiu M. M., Falk R. H. Cytologia. 1971, vol. 40, pp. 313–322.
13. Galitskaya A. A. Ekologo-biokhimicheskaya adaptatsiya Wolffia arrhiza L. k abioticheskim i bioticheskim faktoram sredy: avtoref. dis. kand. biol. nauk: 03.02.08;
03.01.04 [Ecological and biochemical adaptation of Wolffia arrhiza L. to abiotic and biotic environmental factors: author’s abstract of dissertation to apply for the degree of the candidate of biological sciences]. Saratov, 2012, 20 p.
14. Galitskaya A. A., Selivanov N. Yu., Selivanova O. G., Sokolov O. I. Izvestiya Saratovskogo universiteta. Ser.: Khimiya. Biologiya. Ekologiya [Proceedings of Saratov University: Series: Chemistry. Biology. Ecology]. 2012, vol. 12, iss. 1, pp. 36–41.
15. Valiev R. Sh., Ol'shanskaya L. N., Golovina L. V. Nauchnye perspektivy XXI veka. Dostizheniya i perspektivy novogo stoletiya: materialy III Mezhdunar. nauch.-prakt. konf. (g. Novosibirsk, 15–16 avgusta 2014 g.) [Scientific prospects of the XXI century. Achievements and prospects of the new century: proceedings of III International scientific and practical conference (Novosibirsk, 15th–16th of August 2014 )]. Novosibirsk: Mezhdunarodnyy nauchnyy institut «Educatio», 2014, part 5, pp. 155–159.
16. Wenhua H., Xiao C., Guanling S., Qunhui W., Chein Ch. Ch. Plant physiology and biochemistry. 2007, no. 45, pp. 62–69.