Near‐infrared spectroscopy for metabolite quantification and species identification

Aw, Wen C.; Ballard, J. William O.

doi:10.1002/ece3.4847

Cited by 14 publications

(11 citation statements)

References 26 publications

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“…45,46 The wavelengths in the range of 1320-1380 nm can be attributed to the third overtone and the combination of C-H stretching vibrations. 47 The wavelengths in the range of 1430-1560 nm are due to the rst overtone of the O-H stretching vibrations. These may be related to the compounds contained in Radix Glycyrrhizae, such as glycyrrhizin, glycyrrhetinic acid and liquiritigenin.…”

Section: Visualization For Discovering Important Wavelengthsmentioning

confidence: 99%

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

et al. 2020

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Section: Visualization For Discovering Important Wavelengthsmentioning

confidence: 99%

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

et al. 2020

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“…Therefore, increasing the variability in calibration data should mask constituents linked with community-specific interactions, and lead to detection of wavelength combinations predictive of species identity across populations. While diet, habitat use and gut morphology of microtine rodents show high levels of plasticity (Lovegrove, 2010; Soininen et al, 2013), a growing body of fNIRS research (Douglas R. Tolleson, 2010; Vance, Tolleson, Kinoshita, Rodriguez, & Foley, 2016; Aw & Ballard, 2019) suggests that robust species-specific markers are also likely to exist.…”

Section: Discussionmentioning

confidence: 99%

“…While diet, habitat use and gut morphology of microtine rodents show high levels of plasticity (Lovegrove, 2010;Soininen et al, 2013), a growing body of fNIRS research (Douglas R. Tolleson, 2010;Vance, Tolleson, Kinoshita, Rodriguez, & Foley, 2016;Aw & Ballard, 2019) suggests that robust species-specific markers are also likely to exist.…”

Section: Towards Application Of Fnirs Calibrations For Rodent Monitoringmentioning

confidence: 99%

“…All of these requirements can be met by application of near infrared reflectance spectroscopy (NIRS). NIRS is a widely applied analytic method in agriculture and petrochemical industry (Pasquini, 2003), with increasing representation in different fields of ecology (Villamuelas et al, 2017; Aw & Ballard, 2019; Murguzur et al, 2019). NIRS is a rapid and non-destructive spectral analytic tool for assessing quantitative and qualitative constituents of a wide array of organic and inorganic samples, which requires minimal sample pre-processing, mainly involving sample material homogenization and drying (Pasquini, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…improved calibrations and modelling new constituents) can be applied to existing spectra. Consequently, fecal NIRS (fNIRS) has been used to predict species identity, demographic parameters (Tolleson, Randel, Stuth, & Neuendorff, 2005; Wiedower et al, 2012; Aw & Ballard, 2019) and diet quality (Foley et al, 1998; Villamuelas et al, 2017) of several wild animals from large mammals to insects. However, the use of fNIRS in wildlife research and monitoring remains largely unknown to the ecologist community, contrasting widespread use of remote sensing (Kerr & Ostrovsky, 2003; Pettorelli et al, 2015) and high-throughoutput genetic barcoding (Yoccoz, 2012) methods.…”

Section: Introductionmentioning

confidence: 99%

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Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

Tuomi

Ancin‐Murguzur

Hoset

et al. 2022

Preprint

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Small rodents are prevalent and functionally important across world's biomes, making their monitoring salient for ecosystem management, conservation, forestry and agriculture. Yet, there is a dearth of cost-effective and non-invasive methods for large-scale, intensive sampling. As one such method, fecal pellet counts readily provide relative abundance indices. Given available analytical methods, feces could also allow for determination of multiple ecological and physiological variables, including community composition. We developed calibration models for rodent taxonomic determination using fecal near-infrared reflectance spectroscopy (fNIRS). Our results demonstrate fNIRS as an accurate and robust method for predicting genus and species identity of five co-existing subarctic microtine rodent species. We show that sample exposure to weathering did not reduce accuracy, indicating suitability of the method for samples collected from the field. Diet was not a major determinant of species prediction accuracy in our samples, as diet exhibited large variation and overlap between species. While regional calibration models predicted poorly samples from another region, calibration models including samples from two regions provided a good prediction accuracy for both regions. We propose fNIRS as a fast and cost-efficient high-throughoutput method for rodent taxonomic determination, and highlight its potential for cross-regional calibrations and use on field-collected samples. FNIRS can facilitate rodent population censuses at larger spatial extent than before deemed feasible, if combined with pellet-count based abundance indices. Given the versatility of fNIRS analytics, developing such monitoring schemes can support ecosystem- and interaction-based approaches to monitoring.

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Novel frontier in wildlife monitoring: Identification of small rodent species from fecal pellets using near‐infrared reflectance spectroscopy (NIRS)

Tuomi

Ancin‐Murguzur

Hoset

et al. 2023

Ecology and Evolution

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Small rodents are prevalent and functionally important across the world's biomes, making their monitoring salient for ecosystem management, conservation, forestry, and agriculture. There is a growing need for cost-effective and noninvasive methods for large-scale, intensive sampling. Fecal pellet counts readily provide relative abundance indices, and given suitable analytical methods, feces could also allow for the determination of multiple ecological and physiological variables, including community composition. In this context, we developed calibration models for rodent taxonomic determination using fecal near-infrared reflectance spectroscopy (fNIRS). Our results demonstrate fNIRS as an accurate and robust method for predicting genus and species identity of five coexisting subarctic microtine rodent species. We show that sample exposure to weathering increases the method's accuracy, indicating its suitability for samples collected from the field. Diet was not a major determinant of species prediction accuracy in our samples, as diet exhibited large variation and overlap between species. fNIRS could also be applied across regions, as calibration models including samples from two regions provided a good prediction accuracy for both regions. We show fNIRS as a fast and cost-efficient high-throughput method for rodent taxonomic determination, with the potential for cross-regional calibrations and the use on fieldcollected samples. Importantly, appeal lies in the versatility of fNIRS. In addition to rodent population censuses, fNIRS can provide information on demography, fecal nutrients, stress hormones, and even disease. Given the development of such calibration models, fNIRS analytics could complement novel genetic methods and greatly support ecosystem-and interaction-based approaches to monitoring.

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Near‐infrared spectroscopy for metabolite quantification and species identification

Cited by 14 publications

References 26 publications

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

Application and interpretation of deep learning methods for the geographical origin identification of Radix Glycyrrhizae using hyperspectral imaging

Novel frontier in wildlife monitoring: identification of small rodent species from faecal pellets using Near-Infrared Reflectance Spectroscopy (NIRS)

Novel frontier in wildlife monitoring: Identification of small rodent species from fecal pellets using near‐infrared reflectance spectroscopy (NIRS)

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