Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen
Pollen studies play a critical role in various fields of science. In the last couple of decades, replacement of manual identification of pollen by image-based methods using pollen morphological features was a great leap forward, but challenges for pollen with similar morphology remain, and additiona...
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| Format: | Article |
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MDPI AG
2019-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/20/4428 |
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| author | Abdullah S. Mondol Milind D. Patel Jan Rüger Clara Stiebing Andreas Kleiber Thomas Henkel Jürgen Popp Iwan W. Schie |
| author_facet | Abdullah S. Mondol Milind D. Patel Jan Rüger Clara Stiebing Andreas Kleiber Thomas Henkel Jürgen Popp Iwan W. Schie |
| author_sort | Abdullah S. Mondol |
| collection | DOAJ |
| description | Pollen studies play a critical role in various fields of science. In the last couple of decades, replacement of manual identification of pollen by image-based methods using pollen morphological features was a great leap forward, but challenges for pollen with similar morphology remain, and additional approaches are required. Spectroscopy approaches for identification of pollen, such as Raman spectroscopy has potential benefits over traditional methods, due to the investigation of the intrinsic molecular composition of a sample. However, current Raman-based characterization of pollen is complex and time-consuming, resulting in low throughput and limiting the statistical significance of the acquired data. Previously demonstrated high-throughput screening Raman spectroscopy (HTS-RS) eliminates the complexity as well as human interaction by incorporation full automation of the data acquisition process. Here, we present a customization of HTS-RS for pollen identification, enabling sampling of a large number of pollen in comparison to other state-of-the-art Raman pollen investigations. We show that using Raman spectra we are able to provide a preliminary estimation of pollen types based on growth habits using hierarchical cluster analysis (HCA) as well as good taxonomy of 37 different Pollen using principal component analysis-support vector machine (PCA-SVM) with good accuracy even for the pollen specimens sharing similar morphological features. Our results suggest that HTS-RS platform meets the demands for automated pollen detection making it an alternative method for research concerning pollen. |
| first_indexed | 2024-04-11T13:01:22Z |
| format | Article |
| id | doaj.art-33d200cf9ec04da6bfdfb0ea227543e4 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:01:22Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-33d200cf9ec04da6bfdfb0ea227543e42022-12-22T04:22:55ZengMDPI AGSensors1424-82202019-10-011920442810.3390/s19204428s19204428Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of PollenAbdullah S. Mondol0Milind D. Patel1Jan Rüger2Clara Stiebing3Andreas Kleiber4Thomas Henkel5Jürgen Popp6Iwan W. Schie7Leibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyLeibniz Institute of Photonic Technology, Albert Einstein Str. 9, 07745 Jena, GermanyPollen studies play a critical role in various fields of science. In the last couple of decades, replacement of manual identification of pollen by image-based methods using pollen morphological features was a great leap forward, but challenges for pollen with similar morphology remain, and additional approaches are required. Spectroscopy approaches for identification of pollen, such as Raman spectroscopy has potential benefits over traditional methods, due to the investigation of the intrinsic molecular composition of a sample. However, current Raman-based characterization of pollen is complex and time-consuming, resulting in low throughput and limiting the statistical significance of the acquired data. Previously demonstrated high-throughput screening Raman spectroscopy (HTS-RS) eliminates the complexity as well as human interaction by incorporation full automation of the data acquisition process. Here, we present a customization of HTS-RS for pollen identification, enabling sampling of a large number of pollen in comparison to other state-of-the-art Raman pollen investigations. We show that using Raman spectra we are able to provide a preliminary estimation of pollen types based on growth habits using hierarchical cluster analysis (HCA) as well as good taxonomy of 37 different Pollen using principal component analysis-support vector machine (PCA-SVM) with good accuracy even for the pollen specimens sharing similar morphological features. Our results suggest that HTS-RS platform meets the demands for automated pollen detection making it an alternative method for research concerning pollen.https://www.mdpi.com/1424-8220/19/20/4428raman spectroscopyhigh throughput screeningpollen detectionpca-svmhca |
| spellingShingle | Abdullah S. Mondol Milind D. Patel Jan Rüger Clara Stiebing Andreas Kleiber Thomas Henkel Jürgen Popp Iwan W. Schie Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen Sensors raman spectroscopy high throughput screening pollen detection pca-svm hca |
| title | Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen |
| title_full | Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen |
| title_fullStr | Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen |
| title_full_unstemmed | Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen |
| title_short | Application of High-Throughput Screening Raman Spectroscopy (HTS-RS) for Label-Free Identification and Molecular Characterization of Pollen |
| title_sort | application of high throughput screening raman spectroscopy hts rs for label free identification and molecular characterization of pollen |
| topic | raman spectroscopy high throughput screening pollen detection pca-svm hca |
| url | https://www.mdpi.com/1424-8220/19/20/4428 |
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