A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics
The timely monitoring of airborne crop fungal spores is important for maintaining food security. In this study, a method based on microfluidic separation and enrichment and AC impedance characteristics was proposed to detect spores of fungal pathogens that cause diseases on crops. Firstly, a microfl...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
|
| Series: | Journal of Fungi |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2309-608X/8/11/1168 |
| _version_ | 1827646331817033728 |
|---|---|
| author | Xiaodong Zhang Boxue Guo Yafei Wang Lian Hu Ning Yang Hanping Mao |
| author_facet | Xiaodong Zhang Boxue Guo Yafei Wang Lian Hu Ning Yang Hanping Mao |
| author_sort | Xiaodong Zhang |
| collection | DOAJ |
| description | The timely monitoring of airborne crop fungal spores is important for maintaining food security. In this study, a method based on microfluidic separation and enrichment and AC impedance characteristics was proposed to detect spores of fungal pathogens that cause diseases on crops. Firstly, a microfluidic chip with tertiary structure was designed for the direct separation and enrichment of <i>Ustilaginoidea virens</i> spores, <i>Magnaporthe grisea</i> spores, and <i>Aspergillus niger</i> spores from the air. Then, the impedance characteristics of fungal spores were measured by impedance analyzer in the enrichment area of a microfluidic chip. The impedance characteristics of fungal spores were analyzed, and four impedance characteristics were extracted: absolute value of impedance (abs), real part of impedance (real), imaginary part of impedance (imag), and impedance phase (phase). Finally, based on the impedance characteristics of extracted fungal spores, K-proximity (KNN), random forest (RF), and support vector machine (SVM) classification models were established to classify the three fungal spores. The results showed that the microfluidic chip designed in this study could well collect the spores of three fungal diseases, and the collection rate was up to 97. The average accuracy of KNN model, RF model, and SVM model for the detection of three disease spores was 93.33, 96.44 and 97.78, respectively. The F1-Score of KNN model, RF model, and SVM model was 90, 94.65, and 96.18, respectively. The accuracy, precision, recall, and F1-Score of the SVM model were all the highest, at 97.78, 96.67, 96.69, and 96.18, respectively. Therefore, the detection method of crop fungal spores based on microfluidic separation, enrichment, and impedance characteristics proposed in this study can be used for the detection of airborne crop fungal spores, providing a basis for the subsequent detection of crop fungal spores. |
| first_indexed | 2024-03-09T18:56:24Z |
| format | Article |
| id | doaj.art-15db95ab12a34f9498d599709ce00626 |
| institution | Directory Open Access Journal |
| issn | 2309-608X |
| language | English |
| last_indexed | 2024-03-09T18:56:24Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Fungi |
| spelling | doaj.art-15db95ab12a34f9498d599709ce006262023-11-24T05:24:18ZengMDPI AGJournal of Fungi2309-608X2022-11-01811116810.3390/jof8111168A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance CharacteristicsXiaodong Zhang0Boxue Guo1Yafei Wang2Lian Hu3Ning Yang4Hanping Mao5School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaKey Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou 510642, ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaThe timely monitoring of airborne crop fungal spores is important for maintaining food security. In this study, a method based on microfluidic separation and enrichment and AC impedance characteristics was proposed to detect spores of fungal pathogens that cause diseases on crops. Firstly, a microfluidic chip with tertiary structure was designed for the direct separation and enrichment of <i>Ustilaginoidea virens</i> spores, <i>Magnaporthe grisea</i> spores, and <i>Aspergillus niger</i> spores from the air. Then, the impedance characteristics of fungal spores were measured by impedance analyzer in the enrichment area of a microfluidic chip. The impedance characteristics of fungal spores were analyzed, and four impedance characteristics were extracted: absolute value of impedance (abs), real part of impedance (real), imaginary part of impedance (imag), and impedance phase (phase). Finally, based on the impedance characteristics of extracted fungal spores, K-proximity (KNN), random forest (RF), and support vector machine (SVM) classification models were established to classify the three fungal spores. The results showed that the microfluidic chip designed in this study could well collect the spores of three fungal diseases, and the collection rate was up to 97. The average accuracy of KNN model, RF model, and SVM model for the detection of three disease spores was 93.33, 96.44 and 97.78, respectively. The F1-Score of KNN model, RF model, and SVM model was 90, 94.65, and 96.18, respectively. The accuracy, precision, recall, and F1-Score of the SVM model were all the highest, at 97.78, 96.67, 96.69, and 96.18, respectively. Therefore, the detection method of crop fungal spores based on microfluidic separation, enrichment, and impedance characteristics proposed in this study can be used for the detection of airborne crop fungal spores, providing a basis for the subsequent detection of crop fungal spores.https://www.mdpi.com/2309-608X/8/11/1168air-borne diseasesmicrofluidic chipsfungal sporesimpedance characteristics |
| spellingShingle | Xiaodong Zhang Boxue Guo Yafei Wang Lian Hu Ning Yang Hanping Mao A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics Journal of Fungi air-borne diseases microfluidic chips fungal spores impedance characteristics |
| title | A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics |
| title_full | A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics |
| title_fullStr | A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics |
| title_full_unstemmed | A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics |
| title_short | A Detection Method for Crop Fungal Spores Based on Microfluidic Separation Enrichment and AC Impedance Characteristics |
| title_sort | detection method for crop fungal spores based on microfluidic separation enrichment and ac impedance characteristics |
| topic | air-borne diseases microfluidic chips fungal spores impedance characteristics |
| url | https://www.mdpi.com/2309-608X/8/11/1168 |
| work_keys_str_mv | AT xiaodongzhang adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT boxueguo adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT yafeiwang adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT lianhu adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT ningyang adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT hanpingmao adetectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT xiaodongzhang detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT boxueguo detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT yafeiwang detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT lianhu detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT ningyang detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics AT hanpingmao detectionmethodforcropfungalsporesbasedonmicrofluidicseparationenrichmentandacimpedancecharacteristics |