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Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip

Crop diseases cause great harm to food security, 90% of these are caused by fungal spores. This paper proposes a crop diseases spore detection method, based on the lensfree diffraction fingerprint and microfluidic chip. The spore diffraction images are obtained by a designed large field of view lens...

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Autores principales: Yang, Ning, Chen, Chiyuan, Li, Tao, Li, Zhuo, Zou, Lirong, Zhang, Rongbiao, Mao, Hanping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562855/
https://www.ncbi.nlm.nih.gov/pubmed/31035416
http://dx.doi.org/10.3390/mi10050289
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author Yang, Ning
Chen, Chiyuan
Li, Tao
Li, Zhuo
Zou, Lirong
Zhang, Rongbiao
Mao, Hanping
author_facet Yang, Ning
Chen, Chiyuan
Li, Tao
Li, Zhuo
Zou, Lirong
Zhang, Rongbiao
Mao, Hanping
author_sort Yang, Ning
collection PubMed
description Crop diseases cause great harm to food security, 90% of these are caused by fungal spores. This paper proposes a crop diseases spore detection method, based on the lensfree diffraction fingerprint and microfluidic chip. The spore diffraction images are obtained by a designed large field of view lensless diffraction detection platform which contains the spore enrichment microfluidic chip and lensless imaging module. By using the microfluidic chip to enrich and isolate spores in advance, the required particles can be captured in the chip enrichment area, and other impurities can be filtered to reduce the interference of impurities on spore detection. The light source emits partially coherent light and irradiates the target to generate diffraction fingerprints, which can be used to distinguish spores and impurities. According to the theoretical analysis, two parameters, Peak to Center ratio (PCR) and Peak to Valley ratio (PVR), are found to quantify these spores. The correlation coefficient between the detection results of rice blast spores by the constructed device and the results of microscopic artificial identification was up to 0.99, and the average error rate of the proposed device was only 5.91%. The size of the device is only 4 cm × 4 cm × 5 cm, and the cost is less than $150, which is one thousandth of the existing equipment. Therefore, it may be widely used as an early detection method for crop disease caused by spores.
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spelling pubmed-65628552019-06-17 Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip Yang, Ning Chen, Chiyuan Li, Tao Li, Zhuo Zou, Lirong Zhang, Rongbiao Mao, Hanping Micromachines (Basel) Article Crop diseases cause great harm to food security, 90% of these are caused by fungal spores. This paper proposes a crop diseases spore detection method, based on the lensfree diffraction fingerprint and microfluidic chip. The spore diffraction images are obtained by a designed large field of view lensless diffraction detection platform which contains the spore enrichment microfluidic chip and lensless imaging module. By using the microfluidic chip to enrich and isolate spores in advance, the required particles can be captured in the chip enrichment area, and other impurities can be filtered to reduce the interference of impurities on spore detection. The light source emits partially coherent light and irradiates the target to generate diffraction fingerprints, which can be used to distinguish spores and impurities. According to the theoretical analysis, two parameters, Peak to Center ratio (PCR) and Peak to Valley ratio (PVR), are found to quantify these spores. The correlation coefficient between the detection results of rice blast spores by the constructed device and the results of microscopic artificial identification was up to 0.99, and the average error rate of the proposed device was only 5.91%. The size of the device is only 4 cm × 4 cm × 5 cm, and the cost is less than $150, which is one thousandth of the existing equipment. Therefore, it may be widely used as an early detection method for crop disease caused by spores. MDPI 2019-04-28 /pmc/articles/PMC6562855/ /pubmed/31035416 http://dx.doi.org/10.3390/mi10050289 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Ning
Chen, Chiyuan
Li, Tao
Li, Zhuo
Zou, Lirong
Zhang, Rongbiao
Mao, Hanping
Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title_full Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title_fullStr Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title_full_unstemmed Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title_short Portable Rice Disease Spores Capture and Detection Method Using Diffraction Fingerprints on Microfluidic Chip
title_sort portable rice disease spores capture and detection method using diffraction fingerprints on microfluidic chip
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6562855/
https://www.ncbi.nlm.nih.gov/pubmed/31035416
http://dx.doi.org/10.3390/mi10050289
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