Infrared spectroscopy and multivariate analysis: Classification of mixed fusarium species solani and oxysporum isolates at the species level

Insects are being proposed as an alternative way to ensure world’s food and feed security. Methods to determine edible insect powder’s origin and species will be needed for quality control purposes. Infrared spectroscopy has been extensively used in rapid chemical fingerprinting of food products. The present research explores a new approach to discriminate and classify commercial edible insect powders using attenuated total reflectance mid-infrared spectroscopy combined with multivariate analysis. Infrared spectra of seven commercial edible insect powders from different species (Tenebrio molitor, Alphitobius diaperinus, Gryllodes sigillatus, Acheta domesticus and Locusta migratoria) and origins (the Netherlands and New Zealand) were collected to build up soft independent modelling of class analogy (SIMCA) models. SIMCA models clearly discriminated insects by their species and origin linking their differences to lipids and chitin. SIMCA models performance was tested using five spectra of each class not used to build up the training set. 100% correct predictions were obtained for all the samples analysed with the exception of one sample of Alphitobius diaperinus. Infrared spectroscopy coupled to multivariate analysis provided a powerful method for the assurance of insect powder’s authenticity.

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Classification of the hot air heat treatment degree of larch wood using a multivariate analysis of near-infrared spectroscopy

Journal of Wood Science ◽

10.1007/s10086-018-1706-z ◽

2018 ◽

Vol 64 (3) ◽

pp. 220-225 ◽

Cited By ~ 2

Author(s):

Sang-Yun Yang ◽

Yeonjung Han ◽

Yoon-Seong Chang ◽

Jun-Ho Park ◽

Yonggun Park ◽

...

Keyword(s):

Heat Treatment ◽

Multivariate Analysis ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Larch Wood ◽

Hot Air

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Direct classification of related species of fungal endophytes (EpichloÃ«spp.) using visible and near-infrared spectroscopy and multivariate analysis

FEMS Microbiology Letters ◽

10.1111/j.1574-6968.2008.01186.x ◽

2008 ◽

Vol 284 (2) ◽

pp. 135-141 ◽

Cited By ~ 7

Author(s):

Cristina Petisco ◽

Gerard Downey ◽

Ian Murray ◽

IÃ±igo Zabalgogeazcoa ◽

Balbino GarcÃa-Criado ◽

...

Keyword(s):

Multivariate Analysis ◽

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Related Species ◽

Near Infrared ◽

Fungal Endophytes

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Quantification and Classification of Diclofenac Sodium Content in Dispersed Commercially Available Tablets by Attenuated Total Reflection Infrared Spectroscopy and Multivariate Data Analysis

Pharmaceuticals ◽

10.3390/ph14050440 ◽

2021 ◽

Vol 14 (5) ◽

pp. 440

Author(s):

Eirini Siozou ◽

Vasilios Sakkas ◽

Nikolaos Kourkoumelis

Keyword(s):

Infrared Spectroscopy ◽

Low Cost ◽

Diclofenac Sodium ◽

Reference Method ◽

Sodium Content ◽

Attenuated Total Reflection ◽

Accuracy And Precision ◽

Significant Difference ◽

Ft Ir

A new methodology, based on Fourier transform infrared spectroscopy equipped with an attenuated total reflectance accessory (ATR FT-IR), was developed for the determination of diclofenac sodium (DS) in dispersed commercially available tablets using chemometric tools such as partial least squares (PLS) coupled with discriminant analysis (PLS-DA). The results of PLS-DA depicted a perfect classification of the tablets into three different groups based on their DS concentrations, while the developed model with PLS had a sufficiently low root mean square error (RMSE) for the prediction of the samples’ concentration (~5%) and therefore can be practically used for any tablet with an unknown concentration of DS. Comparison with ultraviolet/visible (UV/Vis) spectrophotometry as the reference method revealed no significant difference between the two methods. The proposed methodology exhibited satisfactory results in terms of both accuracy and precision while being rapid, simple and of low cost.

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