Separation-enrichment method for airborne disease spores based on microfluidic chip
Keywords:
greenhouse, crop disease, airborne spore, microfluidic chipAbstract
Airborne diseases are likely to cause crop yield reduction, which has aroused widespread concern. In this study, a two-stage separation-enrichment structure microfluidic chip with compound field for separation and enrichment the greenhouse crops airborne disease spores directly from gas flow was developed. The chip is mainly composed of three parts: arc structure pretreatment channel, semicircular electrode structure and collection tank. COMSOL 5.1 software was used to simulate the designed microfluidic chip. 30 µm particles were used to represent P. xanthii spores, 25 µm particles were used to represent P. cubensis spores, and 16 µm particles were used to represent B. cinerea spores. The simulation results showed that the separation and enrichment efficiency of 16 μm particles, 25 μm particles, and 30 μm particles was 88%, 91%, and 94%, respectively. The experimental verification results were observed under a microscope. The results showed that separation and enrichment efficiency of B. cinereal spores, P. cubensis spores and P. xanthii spores was 75.7%, 83.8% and 89.4%, respectively. As a result, the designed microfluidic chip can be used to separate and enrich the spores of airborne diseases of greenhouse crops, which can provide a basis for the research of real-time monitoring technology for greenhouse airborne diseases. Keywords: greenhouse, crop disease, airborne spore, microfluidic chip DOI: 10.25165/j.ijabe.20211405.6375 Citation: Wang Y F, Zhang X D, Yang N, Ma G X, Du X X, Mao H P. Separation-enrichment method for airborne disease spores based on microfluidic chip. Int J Agric & Biol Eng, 2021; 14(5): 199–205.References
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[2] Wang Y F, Ma G X, Du X X, Liu Y, Wang B, Xu G L, Mao H P. Effects of Nutrient Solution Irrigation Quantity and Downy Mildew Infection on Growth and Physiological Traits of Greenhouse Cucumber. Agronomy, 2020; 10(12): 1921. doi: 10.3390/agronomy10121921.
[3] Hafez Y M, Attia K A, Kamel S, Alamery S F, El-Gendy S, Al-Doss A A, et al. Bacillus subtilis as a bio-agent combined with nano molecules can control powdery mildew disease through histochemical and physiobiochemical changes in cucumber plants. Physiological and Molecular Plant Pathology, 2020; 111: 101489. doi: 10.1016/ j.pmpp.2020.101489.
[4] Tanaka K, Fukuda M, Amaki Y, Sakaguchi T, Inai K, Ishihara A, et al. Importance of prumycin produced by Bacillus amyloliquefaciens SD-32 in biocontrol against cucumber powdery mildew disease. Pest management science, 2017; 73: 2419–2428.
[5] Wallace E C, D’Arcangelo K N, Quesada-Ocampo L M. Population analyses reveal two host-adapted clades of Pseudoperonospora cubensis, the causal agent of cucurbit downy mildew, on commercial and wild cucurbits. Phytopathology, 2020; 110(9): 1578–1587.
[6] Akhmadeev A A, Salakhov M K. A new approach of recognition of ellipsoidal micro- and nanoparticles on AFM images and determination of their sizes. Measurement Science and Technology, 2016; 27(10): 105402. doi: 10.1088/0957-0233/27/10/105402.
[7] Lei Y, Yao Z F, He D J. Automatic detection and counting of urediniospores of Puccinia striiformis f. sp. tritici using spore traps and image processing. Scientific reports, 2018; 8:13647. doi: 10.1038/ s41598-018-31899-0.
[8] Chan B D, Icoz K, Huang W F, Chang C L, Savran C A. On-demand weighing of single dry biological particles over a 5-order-of-magnitude dynamic range. Lab on a Chip, 2014; 14(21): 4188–4196.
[9] Sireesha Y, Velazhahan R. Rapid and specific detection of Peronosclerospora sorghi in maize seeds by conventional and real-time PCR. European Journal of Plant Pathology, 2018; 150(2): 521–526.
[10] Bandamaravuri K B, Nayak A K, Bandamaravuri A S, Samad A. Simultaneous detection of downy mildew and powdery mildew pathogens on Cucumis sativus and other cucurbits using duplex-qPCR and HRM analysis. AMB Express, 2020; 10(1): 135. doi: 10.1186/s13568-020- 01071-x.
[11] Wada M, Tsukada M, Namiki N, Szymanski W W, Noda N, Makino H, et al. A two-stage virtual impactor for in-stack sampling of PM2.5 and PM10 in flue gas of stationary sources. Aerosol and Air Quality Research, 2016; 16(1): 36–45.
[12] Djoumi L, Vanotti M, Blondeau-Patissier V. Real time cascade impactor based on surface acoustic wave delay lines for PM10 and PM2.5 mass concentration measurement. Sensors, 2018; 18(1): 255. doi: 10.3390/ s18010255.
[13] Siani O Z, Targhi M Z, Sojoodi M, Movahedin M. Dielectrophoretic separation of monocytes from cancer cells in a microfluidic chip using electrode pitch optimization. Bioprocess and Biosystems Engineering, 2020; 43(9):1573–1586.
[14] Wang P, Yuan S Q, Yang N, Wang A Y, Fordjour A, Chen S B. The Collection method for crop fungal spores based on an efficient microfluidic device. Aerosol and Air Quality Research, 2020; 20(1): 72–79.
[15] Yang N, Chen C Y, Li T, Li Z, Zou L R, Zhang R B, et al. Portable rice disease spores capture and detection method using diffraction fingerprints on microfluidic chip. Micromachines, 2019; 10(5): 289. doi: 10.3390/ mi10050289.
[16] Ren Q L, Liang C X, Wang Z X, Qu Z G. Continuous trapping of bacteria in non-Newtonian blood flow using negative dielectrophoresis with quadrupole electrodes. Journal of Physics D-applied Physics, 2021; 54(1): 015401. doi: 10.1088/1361-6463/abb726.
[17] Abd Rahman N, Ibrahim F, Yafouz B. Dielectrophoresis for biomedical sciences applications: A review. Sensors, 2017; 17(3): 449. doi: 10.3390/s17030449.
[18] Ettehad H M, Zarrin P S, Holzel R, Wenger C. Dielectrophoretic immobilization of yeast cells using CMOS integrated microfluidics. micromachines, 2020; 11(5): 501. doi: 10.3390/mi11050501.
[19] Zhang Y L, Chen X Y. Blood cells separation microfluidic chip based on dielectrophoretic force. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020; 42(4): 206. doi: 10.1007/s40430-020- 02284-8.
[20] Zhang Y, Wang S Y, Chen J, Yang F, Li G Y. Separation of macrophages using a dielectrophoresis-based microfluidic device. Biochip Journal, 2020; 14(2): 185–194.
[21] Lee K, Lee J, Ha D, Kim M, Kim T. Low-electric-potential-assisted diffusiophoresis for continuous separation of nanoparticles on a chip. Lab
on a Chip, 2020; 20(15): 2735–2747.
[22] Tajik P, Saidi M S, Kashaninejad N, Nguyen N T. Simple, cost-effective, and continuous 3D dielectrophoretic microchip for concentration and separation of bioparticles. Industrial & Engineering Chemistry Research, 2020; 59(9): 3772–3783.
[23] Natu R, Martinez-Duarte R. Numerical model of streaming DEP for stem cell sorting. Micromachines, 2016; 7(12): 217. doi: 10.3390/mi7120217.
[24] Ayala-Mar S, Perez-Gonzalez V H, Mata-Gomez M A, Gallo-Villanueva R C, Gonzalez-Valdez J. Electrokinetically driven exosome separation and concentration using dielectrophoretic-enhanced PDMS-based microfluidics. Analytical Chemistry, 2019; 91(23): 14975–14982.
[25] Hirota Y, Hakoda M, Wakizaka Y. Separation characteristics of animal cells using a dielectrophoretic filter. Bioprocess and Biosystems Engineering, 2010; 33(5): 607–612.
[26] Han S I, Huang C, Han A. In-droplet cell separation based on bipolar dielectrophoretic response to facilitate cellular droplet assays. Lab on a Chip, 2020; 20(20): 3832–3841.
[27] Gascoyne P R C, Shim S, Noshari J, Becker F F, Stemke-Hale K. Correlations between the dielectric properties and exterior morphology of cells revealed by dielectrophoretic field-flow fractionation. Electrophoresis, 2013; 34(7): 1042–1050.
[28] Chen L, Liu X, Zheng X L, Zhang X L, Yang J, Tian T, et al. Dielectrophoretic separation of particles using microfluidic chip with composite three-dimensional electrode. Micromachines, 2020; 11(7): 700. doi: 10.3390/mi11070700.
[29] Alnaimat F, Mathew B, Hilal-Alnaqbi A. Modeling a dielectrophoretic microfluidic device with vertical interdigitated transducer electrodes for separation of microparticles based on size. Micromachines, 2020; 11(6): 563. doi: 10.3390/mi11060563.
[30] Zhang Z L, Luo Y, Nie X F, Yu D L, Xing X X. A one-step molded microfluidic chip featuring a two-layer silver-PDMS microelectrode for dielectrophoretic cell separation. Analyst, 2020; 145(16): 5603–5614.
[31] Wang Y F, Du X X, Ma G X, Liu Y, Wang B, Mao H P. Classification methods for airborne disease spores from greenhouse crops based on multifeature fusion. Applied Science, 2020; 10(21): 7850. doi: 10.3390/ app10217850.
[32] Zhu Y D, Zhang J Y, Li M Y, Zhao L J, Ren H R, Yan L G, et al. Rapid determination of spore germinability of Clostridium perfringens based on microscopic hyperspectral imaging technology and chemometrics. Journal of Food Engineering, 2020; 280: 109896. doi: 10.1016/ j.foodeng.2019.109896.
[33] Xu P F, Zhang R B, Yang N, Oppong P K, Sun J. High-precision extraction and concentration detection of airborne disease microorganisms based on microfluidic chip. Biomicrofluidics, 2019; 13(2): 024110. doi: 10.1063/1.5086087.
[34] Tian E Z, Xia F X, Wu J D, Zhang Y P, Li J, Wang H, et al. Electrostatic air filtration by multifunctional dielectric heterocaking filters with ultralow pressure drop. Acs Applied Materials & Interfaces, 2020; 12(26): 29383–29392.
[35] Shi L Y, Shi X M, Zhou T, Liu Z Y, Liu Z Y, Joo S. A full-scale computational study on the electrodynamics of a rigid particle in an optically induced dielectrophoresis chip. Modern Physics Letters B, 2020; 34(22): 2050233. doi: 10.1142/S0217984920502334.
[36] Ho M T, Li J, Su W, Wu L, Borg M K, Li Z H, et al. Rarefied flow separation in microchannel with bends. Journal of Fluid Mechanics, 2020; 901: A26. doi: 10.1017/jfm.2020.585.
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Published
2021-10-13
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Wang, Y., Zhang, X., Yang, N., Ma, G., Du, X., & Mao, H. (2021). Separation-enrichment method for airborne disease spores based on microfluidic chip. International Journal of Agricultural and Biological Engineering, 14(5), 199–205. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/6375
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