Identification of Herbarium Whole‐Leaf Samples of <i>Epilobium</i> Species by ATR‐IR Spectroscopy

Krajšek, S. S.; Buh, Primož; Zega, Anamarija; Kreft, Samo

doi:10.1002/cbdv.200890028

Cited by 17 publications

(7 citation statements)

References 15 publications

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“…However, routine screening for the purpose of plant species identication is impractical, costly, and limited to plant species whose genetic information is known. Spectroscopic techniques such as infrared (IR) spectroscopy and near-IR have been applied to discriminating between species of herbal medicines and owering plants from the Epilobium and Hypericum genera 1,10,11 without complex sample preparation steps. However, in most reported cases, the output of these methods provides little information on the chemical constituents that are the basis of discrimination between the individual species.…”

Section: Introductionmentioning

confidence: 99%

More than just heat: ambient ionization mass spectrometry for determination of the species of origin of processed commercial products—application to psychoactive pepper supplements

Lesiak

Musah

2016

Anal. Methods

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Section: Introductionmentioning

confidence: 99%

More than just heat: ambient ionization mass spectrometry for determination of the species of origin of processed commercial products—application to psychoactive pepper supplements

Lesiak

Musah

2016

Anal. Methods

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“…In wood science, FT-NIR has been used to predict the physical, mechanical and chemical properties of wood [ 18 , 19 , 20 , 21 ]. There are also applications for determining the geographical origin of individual plants [ 14 ], and in plant taxonomy, recent studies that have used the technique have achieved successful identification rates ranging from 80 to 100% [ 22 , 23 , 24 , 25 ]. Other spectroscopic techniques based on different bands of infrared radiation have been used to identify species or their chemical properties [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species

et al. 2015

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Precise identification of plant species requires a high level of knowledge by taxonomists and presence of reproductive material. This represents a major limitation for those working with seedlings and juveniles, which differ morphologically from adults and do not bear reproductive structures. Near-infrared spectroscopy (FT-NIR) has previously been shown to be effective in species discrimination of adult plants, so if young and adults have a similar spectral signature, discriminant functions based on FT-NIR spectra of adults can be used to identify leaves from young plants. We tested this with a sample of 419 plants in 13 Amazonian species from the genera Protium and Crepidospermum (Burseraceae). We obtained 12 spectral readings per plant, from adaxial and abaxial surfaces of dried leaves, and compared the rate of correct predictions of species with discriminant functions for different combinations of readings. We showed that the best models for predicting species in early developmental stages are those containing spectral data from both young and adult plants (98% correct predictions of external samples), but even using only adult spectra it is still possible to attain good levels of identification of young. We obtained an average of 75% correct identifications of young plants by discriminant equations based only on adults, when the most informative wavelengths were selected. Most species were accurately predicted (75–100% correct identifications), and only three had poor predictions (27–60%). These results were obtained despite the fact that spectra of young individuals were distinct from those of adults when species were analyzed individually. We concluded that FT-NIR has a high potential in the identification of species even at different ontogenetic stages, and that young plants can be identified based on spectra of adults with reasonable confidence.

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“…Research using near-infrared spectroscopy to discriminate plant species is gaining more and more attention in plant taxonomy, especially for angiosperms (Durgante et al 2013; Kim et al 2004; Krajšek et al 2008; Lang et al 2017). The tool has been shown to be more practical and accurate than genetic or morphological methods (Castillo et al 2008), is capable of consistently discriminating phylogenetic relationships of flowering plant species (Kim et al 2004), and has been used in different works to aid in species circumscription and identification of several plant groups (Damasco et al 2019; Durgante et al 2013; Lang et al 2017; Prata et al 2018; Shen et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Using near-infrared spectroscopy to discriminate closely related species: A case study of neotropical ferns

Paiva

Perdiz

Almeida

2020

Preprint

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Identifying plant species requires considerable knowledge and can be difficult without complete specimens. Fourier-transform near-infrared spectroscopy (FT-NIR) is an effective technique for discriminating plant species, especially angiosperms. However, its efficacy has never been tested on ferns. Here we tested the accuracy of FT-NIR at discriminating species of the genus Microgramma. We obtained 16 spectral readings per individual from the adaxial and abaxial surfaces of 100 specimens belonging to 13 species. The analyses included all 1557 spectral variables. We tested different datasets (adaxial+abaxial, adaxial, and abaxial) to compare the correct identification of species through the construction of discriminant models (LDA, PLS) and cross-validation techniques (leave-one-out, K-fold). All analyses recovered an overall high percentage (>90 %) of correct predictions of specimen identifications for all datasets, regardless of the model or cross-validation used. On average, there was > 95 % accuracy when using PLS-DA and both cross-validations. Our results show the high predictive power of FT-NIR at correctly discriminating fern species when using leaves of dried herbarium specimens. The technique is sensitive enough to reflect species delimitation problems and possible hybridization, and it has the potential of helping better delimit and identify fern species.

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Identification of Herbarium Whole‐Leaf Samples of Epilobium Species by ATR‐IR Spectroscopy

Cited by 17 publications

References 15 publications

More than just heat: ambient ionization mass spectrometry for determination of the species of origin of processed commercial products—application to psychoactive pepper supplements

More than just heat: ambient ionization mass spectrometry for determination of the species of origin of processed commercial products—application to psychoactive pepper supplements

Near Infrared Spectroscopy Facilitates Rapid Identification of Both Young and Mature Amazonian Tree Species

Using near-infrared spectroscopy to discriminate closely related species: A case study of neotropical ferns

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