Fourier Transform Infrared Microspectroscopy as a Tool to Differentiate Nitzschia Closterium and Nitzschia longissima
Abstract
Nitzschia closterium and Nitzschia longissima are two species of diatom that are extremely difficult to differentiate using light microscopy. This paper details an investigation into the use of FT-IR microscopy combined with discriminant analysis to differentiate between these species. Spectra were taken from unidentified samples and classified against a training set using either Mahalanobis distances or principal component analysis combined with canonical discriminant analysis. Unidentified samples were classified with a 100% accuracy using both mathematical techniques.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
FTIR with multivariate analysis has been used successfully to classify species and to differentiate the nutritional status of microalgae.
“The application of FTIR to classify species with the help of multivariate analysis [24 -29] and to differentiate the nutritional status of microalgae [30 -34] have been attempted successfully.”
From Response to nutrient variation on lipid productivity in green microalgae captured using second derivative FTIR and Raman spectroscopy (2022) · cites this paper as [24]
Cites
Identifying Marine Diatoms and Dinoflagellates
(1996) · Elsevier eBooks · doi:10.1016/b978-0-12-693015-3.x5000-1 · Cited by 599 · see citing works
Kansiz, M., Heraud, P., Wood, B., Burden, F., Beardall, J., & McNaughton, D. (1999) · Phytochemistry · doi:10.1016/s0031-9422(99)00212-5 · Cited by 238 · see citing works
Qualitative near-infrared reflectance analysis using Mahalanobis distances
Mark, H. L., & Tunnell, D. (1985) · Analytical Chemistry · doi:10.1021/ac00284a061 · Cited by 224 · see citing works
Helm, D., Labischinski, H., & Naumann, D. (1991) · Journal of Microbiological Methods · doi:10.1016/0167-7012(91)90042-o · Cited by 199 · see citing works
Olson, R., Zettler, E., & Anderson, O. (1989) · Cytometry · doi:10.1002/cyto.990100520 · Cited by 168 · see citing works
Computational model for protein-mediated biomineralization of the diatom frustule
Lobel, K. D., West, J. K., & Hench, L. L. (1996) · Marine Biology · doi:10.1007/bf00354617 · Cited by 75 · see citing works
Neural network analysis of flow cytometric data for 40 marine phytoplankton species
Boddy, L., Morris, C. W., Wilkins, M. F., Tarran, G. A., & Burkill, P. H. (1994) · Cytometry · doi:10.1002/cyto.990150403 · Cited by 74 · see citing works
Phytoplankton monitoring by flow cytometry
Hofstraat, J. W., van Zeijl, W. J. M., de Vreeze, M. E. J., Peeters, J. C. H., Peperzak, L., Colijn, F., & Rademaker, T. W. M. (1994) · Journal of Plankton Research · doi:10.1093/plankt/16.9.1197 · Cited by 66 · see citing works
Differentiation of Algae Clones on the Basis of Resonance Raman Spectra Excited by Visible Light
Wu, Q., Nelson, W. H., Hargraves, P., Zhang, J., Brown, C. W., & Seelenbinder, J. A. (1998) · Analytical Chemistry · doi:10.1021/ac971098b · Cited by 41 · see citing works
The Autonomous Image Analyzer - enumeration, measurement and identification of marine phytoplankton
Gorsky, G., Guilbert, P., & Valenta, E. (1989) · Marine Ecology Progress Series · doi:10.3354/meps058133 · Cited by 34 · see citing works
Shipboard analytical flow cytometry of oceanic ultraphytoplankton
Li, W. K. W. (1989) · Cytometry · doi:10.1002/cyto.990100512 · Cited by 25 · see citing works
Automated object recognition of blue-green algae for measuring water quality—A preliminary study
Thiel, S. U. (1995) · Water Research · doi:10.1016/0043-1354(95)00053-n · Cited by 20 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
FT-IR Microspectroscopy Enhances Biological and Ecological Analysis of Algae
Murdock, J. N., & Wetzel, D. L. (2009) · Applied Spectroscopy Reviews · doi:10.1080/05704920902907440 · Cited by 223 · see citing works
Lab on a chip technologies for algae detection: a review
Schaap, A. M., Rohrlack, T., & Bellouard, Y. (2012) · Journal of Biophotonics · doi:10.1002/jbio.201200051 · Cited by 52 · see citing works
Kammer, M., Hedrich, R., Ehrlich, H., Popp, J., Brunner, E., & Krafft, C. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3924-0 · Cited by 47 · see citing works
Esther Elizabeth Grace, C., Briget Mary, M., Vaidyanathan, S., & Srisudha, S. (2022) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2021.120830 · Cited by 21 · see citing works
Macromolecular Response of Individual Algal Cells to Nutrient and Atrazine Mixtures within Biofilms
Murdock, J. N., & Wetzel, D. L. (2011) · Microbial Ecology · doi:10.1007/s00248-011-9994-5 · Cited by 18 · see citing works
Li, H., Yang, G., Sun, Y., Wu, S., & Zhang, X. (2007) · Journal of Ocean University of China · doi:10.1007/s11802-007-0167-6 · Cited by 16 · see citing works
Ahmmed, F., Fraser‐Miller, S. J., Arachchige, P. S. G., Schallenberg, M., Novis, P. M., & Gordon, K. C. (2021) · Journal of Raman Spectroscopy · doi:10.1002/jrs.6161 · Cited by 13 · see citing works
Infrared and Raman Spectroscopic Mapping and Imaging of Plant Materials
Schulz, H., Krähmer, A., Naumann, A., & Gudi, G. (2014) · doi:10.1002/9783527678136.ch6 · Cited by 7 · see citing works
Yalçın, D. (2019) · Trakya University Journal of Natural Sciences · doi:10.23902/trkjnat.498426 · Cited by 5 · see citing works
Nature helps to solve the crime - Diatoms study in case of drowning death
Parmar, P. B., Rathod, G., Rathod, S., & Parikh, A. (2014) · Cited by 4 · see citing works
- Authors
- Vardy, S., & Uwins, P.
- Affiliations
- The University of Queensland (AU)
- ORCID
- Vardy, Suzanne
- Venue
- Applied Spectroscopy
- Publisher
- SAGE Publications
- Published
- 2002-12
- Volume
- 56
- Issue
- 12
- Pages
- 1545-1548
- ISSN
- 0003-7028 (ISSN-L)
- 1943-3530
- OpenAlex
- W2049200007
- Cited by
- 10
- References
- 12
- Citations by year
- 2021: 2 · 2019: 1 · 2014: 2 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Spectroscopy (publishedVersion)
- HAL (submittedVersion)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Physical Sciences › Materials Science › Biomaterials › Diatoms and Algae Research
- Keywords
- Nitzschia closterium, Nitzschia longissima, diatoms, species identification, Fourier transform infrared microspectroscopy, discriminant analysis, Mahalanobis distance, principal component analysis, canonical discriminant analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review