Seeing red: A review of the use of near-infrared spectroscopy (NIRS) in entomology

Johnson, Joel B.; Naiker, Mani

doi:10.1080/05704928.2019.1685532

Cited by 36 publications

(33 citation statements)

References 140 publications

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“…Despite the wide body of research surrounding the use of NIRS in mosquitoes, no gender discrimination appears to have been reported for this family. An recent in‐depth review of this field was presented by Johnson and Naiker (), including a discussion on spectra interpretation and chemometric methods used in the analysis of NIR spectra.…”

Section: Near‐infrared Spectroscopy In Entomologymentioning

confidence: 99%

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Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Johnson

2020

J Applied Entomology

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For over two decades, near‐infrared spectroscopy (NIRS) has been applied to a wide spectrum of problems in the field of insect taxonomy. It provides a rapid, non‐destructive and relatively cheap method of metabolomic profiling, which can often be used to discriminate closely related species in the same genus. Furthermore, very little training or entomological knowledge is required to operate the instrument. However, a taxonomist is still required to ensure accurate identification of samples used for NIRS model creation and validation. To date, most research has focused on species of economic or epidemiological importance, such as mosquitoes, flies or stored product pests. However, an increasing number of studies are applying NIRS for entomological research with a purely “academic” purpose. As research continues in this field, NIRS has the potential to become more widely accepted in entomology, allowing for the rapid metabolomic profiling of thousands of species.

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Section: Near‐infrared Spectroscopy In Entomologymentioning

confidence: 99%

“…NIRS can be applied to an enormously wide variety of matrices, typically requires no sample preparation, and generates no waste (Lazzari et al, ). The various uses of NIRS applied to the entomological setting were recently reviewed by Johnson and Naiker (). However, limited information was provided on the taxonomical applications of NIRS.…”

Section: Introductionmentioning

confidence: 99%

Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Johnson

2020

J Applied Entomology

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“…Infrared spectroscopy is a noninvasive, nondestructive and rapid spectrophotometric analytical tool that is gradually being applied across many disciplines and to a range of matrices worldwide (Cozzolino, 2014; Johnson, 2020; Johnson & Naiker, 2019; Roggo et al, 2007). Infrared spectroscopy works on the principles of absorption due to molecular vibrations, using electromagnetic wavelengths with a lower frequency than light.…”

Section: Infrared Spectroscopymentioning

confidence: 99%

Application of infrared spectroscopy for the prediction of nutritional content and quality assessment of faba bean (Vicia faba L.)

2020

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With growing consumer interest and demand for health‐benefiting functional foods such as faba beans, particularly evident in developed countries, commercial production of this crop is increasing. In concert with increased production levels comes an equally great need for the inexpensive rapid measurement of nutritional parameters for quality determining purposes. As an analytical tool, near‐infrared spectroscopy has been well explored for the quantification of proximate nutritional composition, such as protein, starch and oil contents in faba bean and faba bean‐derived products. Near‐infrared spectroscopy has also been demonstrated to have potential for the noninvasive prediction of low‐level micronutrients such as the total polyphenol content in faba bean and faba bean‐derived products, although further exploration in this area is required to provide a more acceptable model. In some instances, the authors may be inadvertently measuring micronutrient concentrations through a secondary correlation with certain macronutrients. It is particularly difficult to determine if this is the case if exacerbated by the lack of an independent validation test set in the paper in question. The associated technique of mid‐infrared spectroscopy shows particular promise for the rapid, noninvasive characterisation of structural components of faba bean, such as carbohydrates and proteins. Complementary applications of these two technologies are likely to yield a wealth of potential applications.

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“…The declining number of taxonomists experienced in morphological insect evaluation 17 results in an increased use of automatic identi cation methods 18,19 . Re ectance spectroscopy (RS) methods are complementary to expert or genetic classi cation 20 .…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, RS has been applied in various disciplines of biology 21,22 . Several papers in entomology involving visible (VIS) and near-infrared (NIR) spectroscopy applications coupled with numerical methods have been recently reported (see: Johnson and Naiker 19 for a comprehensive list).…”

Section: Introductionmentioning

confidence: 99%

How Spectral Properties and Machine Learning Can Categorize Twin Species - Based on Diachrysia Genus

Dyba

Wąsala

Piekarczyk

et al. 2021

Preprint

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Confirmation of distinctiveness or taxonomic affinity awaits new evidence in many twin species. In our work we used noninvasive point reflectance spectroscopy in the range from 400 to 2100 nm coupled with machine learning to study scales on the brown and golden iridescent areas on the dorsal side of the forewing of Diachrysia chrysitis and D. stenochrysis. The basis for the study a statistically significant collection of 95 specimens gathered during 23 years in Poland. The numerical part of an experiment included two independent discriminant analyses: stochastic and deterministic. The more sensitive stochastic approach achieved average compliance with the species classification made by entomologists at the level of 99-100%. It demonstrated high stability against the different configurations of training and validation sets, hence strong predictors of Diachrysia siblings distinctiveness. Both methods resulted in the same small set of relevant features, where minimal fully discriminating subsets of wavelengths were three for glass scales on the golden area and four for the brown. The differences between species in scales primarily concern their major components and ultrastructure. In melanin-absent glass scales, this is mainly chitin configuration, while in melanin-present brown scales, melanin reveals as an additional factor.

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Seeing red: A review of the use of near-infrared spectroscopy (NIRS) in entomology

Cited by 36 publications

References 140 publications

Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Near‐infrared spectroscopy (NIRS) for taxonomic entomology: A brief review

Application of infrared spectroscopy for the prediction of nutritional content and quality assessment of faba bean (Vicia faba L.)

How Spectral Properties and Machine Learning Can Categorize Twin Species - Based on Diachrysia Genus

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