Mid-infrared spectroscopy for discrimination and classification of Aspergillus spp. contamination in peanuts

Kaya-Celiker, Hande; Mallikarjunan, P. Kumar; Kaaya, Archileo N.

doi:10.1016/j.foodcont.2014.12.013

Cited by 43 publications

(18 citation statements)

References 24 publications

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“…These results indicated that the absorption bands were due to the utilization of water (O─H stretch), protein (C═O stretch), and carbohydrates (C─O and C─C stretch) induced by fungal growth. Fungal proteolytic enzymes hydrolyzed the proteins and converted the blocks into fungal proteins during food deterioration . The absorption at 1550 cm ‐1 was related to N‐H and C‐H bonds.…”

Section: Resultsmentioning

confidence: 99%

Detection and identification of fungal growth on freeze‐dried Agaricus bisporus using spectra and olfactory sensors

Wang

Pei

et al. 2020

J Sci Food Agric

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BACKGROUND Fungal contamination in food products leads to mustiness, biochemical changes, and undesirable odors, which result in lower food quality and lower market value. To develop a rapid method for detecting fungi, hyperspectral imaging (HSI) was applied to identify five fungi inoculated on plates (Aspergillus niger, Aspergillus flavus, Penicillium chrysogenum, Aspergillus fumigatus, and Aspergillus ochraceus). Near‐infrared (NIR) spectroscopy, mid‐infrared (MIR) spectroscopy, and an electronic nose (E‐nose) were applied to detect and identify freeze‐dried Agaricus bisporus infected with the five fungi. RESULTS Partial least squares regression (PLSR) models were used to distinguish the HSI spectra of the five fungi on the plates. The A. ochraceus group had the highest calibration performance: coefficient of calibration (Rc2) = 0.786, root mean‐square error of calibration (RMSEC) = 0.125 log CFU g−1. The A. flavus group had the highest prediction performance: coefficient of prediction (Rp2) = 0.821, root mean‐square error of prediction (RMSEP) = 0.083 log CFU g−1. The ratio of performance deviation (RPD) values of all of the models was higher than 2.0 for the NIR, MIR, and E‐nose results for freeze‐dried A. bisporus infected with different fungi. The fungal species and degree of infection can be distinguished by principal component analysis (PCA) and partial least squares discriminant analysis (PLS‐DA) using NIR, MIR, and E‐nose, as the discrimination accuracy was more than 90%. The NIR methods had a higher recognition rate than the MIR and E‐nose methods. CONCLUSION Principal component analysis (PCA) and PLSR models based on full spectra of HSI can achieve good discrimination results for these five fungi on plates. Moreover, NIR, MIR, and the E‐nose were proven to be effective in monitoring fungal contamination on freeze‐dried A. bisporus. However, NIR could be a more accurate method. © 2020 Society of Chemical Industry

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Section: Resultsmentioning

confidence: 99%

Detection and identification of fungal growth on freeze‐dried Agaricus bisporus using spectra and olfactory sensors

Wang

Pei

et al. 2020

J Sci Food Agric

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“…For example, A. flavus strains used to prevent aflatoxin production in crops, themselves unable to produce aflatoxins, may produce other potentially toxic secondary metabolites ( Ehrlich, 2014 ). Detection of these species in foods using sophisticated analytical techniques requires an accurate and reliable taxonomic system ( Frisvad et al., 2007 , Godet and Munaut, 2010 , Luo et al., 2014a , Luo et al., 2014b , Faustinelli et al., 2017 , Kaya-Celiker et al., 2015 ). Occasionally, strains producing important mycotoxins are apparently misidentified.…”

Section: Introductionmentioning

confidence: 99%

Taxonomy ofAspergillussectionFlaviand their production of aflatoxins, ochratoxins and other mycotoxins

Frisvad

Hubka

Ezekiel

et al. 2019

Studies in Mycology

417

387

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Aflatoxins and ochratoxins are among the most important mycotoxins of all and producers of both types of mycotoxins are present in Aspergillus section Flavi, albeit never in the same species. Some of the most efficient producers of aflatoxins and ochratoxins have not been described yet. Using a polyphasic approach combining phenotype, physiology, sequence and extrolite data, we describe here eight new species in section Flavi. Phylogenetically, section Flavi is split in eight clades and the section currently contains 33 species. Two species only produce aflatoxin B1 and B2 (A. pseudotamarii and A. togoensis), and 14 species are able to produce aflatoxin B1, B2, G1 and G2: three newly described species A. aflatoxiformans, A. austwickii and A. cerealis in addition to A. arachidicola, A. minisclerotigenes, A. mottae, A. luteovirescens (formerly A. bombycis), A. nomius, A. novoparasiticus, A. parasiticus, A. pseudocaelatus, A. pseudonomius, A. sergii and A. transmontanensis. It is generally accepted that A. flavus is unable to produce type G aflatoxins, but here we report on Korean strains that also produce aflatoxin G1 and G2. One strain of A. bertholletius can produce the immediate aflatoxin precursor 3-O-methylsterigmatocystin, and one strain of Aspergillus sojae and two strains of Aspergillus alliaceus produced versicolorins. Strains of the domesticated forms of A. flavus and A. parasiticus, A. oryzae and A. sojae, respectively, lost their ability to produce aflatoxins, and from the remaining phylogenetically closely related species (belonging to the A. flavus-, A. tamarii-, A. bertholletius- and A. nomius-clades), only A. caelatus, A. subflavus and A. tamarii are unable to produce aflatoxins. With exception of A. togoensis in the A. coremiiformis-clade, all species in the phylogenetically more distant clades (A. alliaceus-, A. coremiiformis-, A. leporis- and A. avenaceus-clade) are unable to produce aflatoxins. Three out of the four species in the A. alliaceus-clade can produce the mycotoxin ochratoxin A: A. alliaceus s. str. and two new species described here as A. neoalliaceus and A. vandermerwei. Eight species produced the mycotoxin tenuazonic acid: A. bertholletius, A. caelatus, A. luteovirescens, A. nomius, A. pseudocaelatus, A. pseudonomius, A. pseudotamarii and A. tamarii while the related mycotoxin cyclopiazonic acid was produced by 13 species: A. aflatoxiformans, A. austwickii, A. bertholletius, A. cerealis, A. flavus, A. minisclerotigenes, A. mottae, A. oryzae, A. pipericola, A. pseudocaelatus, A. pseudotamarii, A. sergii and A. tamarii. Furthermore, A. hancockii produced speradine A, a compound related to cyclopiazonic acid. Selected A. aflatoxiformans, A. austwickii, A. cerealis, A. flavus, A. minisclerotigenes, A. pipericola and A. sergii strains produced small sclerotia containing the mycotoxin aflatrem. Kojic acid has been found in all species in section Flavi, except A. avenaceus and A. coremiiformis. Only six species in the section did not produce any known mycotoxins: A. aspearensis, A. coremii...

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“…7); two of the misclassified samples were false positive (misclassified as moldy, while they are toxic) and 5 of them were false negative (misclassified as toxic while true class was moldy). Apparently, similar secondary metabolites of aflatoxin contributed the spectra and led clustering of two different species together as reported elsewhere (Fischer et al 2006;Kaya-Celiker et al 2014, 2015. The performance analysis was conducted using 36 clean and infected peanut seeds.…”

Section: Discriminant Analysis and Classificationmentioning

confidence: 72%

Characterization of Invasion of Genus Aspergillus on Peanut Seeds Using FTIR-PAS

2015

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Aspergillus colonization on peanuts is a growing concern, as it results in reduced crop yields or livestock productivity due to consumption of contaminated feed, and most importantly, they are famous as causative agents of opportunistic infestation in man. In order to defeat and evaluate peanuts suffering from Aspergillus infection, it is essential to establish proper technique and track the quality of peanuts at both farm and market levels. This study focuses on usage of Fourier transform mid-infrared spectroscopy (FTIR) with a non-invasive reflectance apparatus, photoacoustic spectroscopy (PAS) to identify and separate infected peanuts based on spectral characteristics of infrared radiation on peanuts. Classes were defined as Bclean^representing no-aflatoxin/nomold in peanuts, Bmoldy^representing peanuts with nonaflatoxigenic Aspergillus strains, and lastly, Btoxicr epresenting peanuts infected with aflatoxigenic strains of Aspergillus spp. Classes were analyzed using discriminant analysis algorithm, and distance values were calculated in Mahalanobis distance units. The spectral ranges between 3600 and 2750, 1800 and 1480, and 1200 and 900 cm −1 were assigned as the key bands, and corresponding vibration modes and intensities were labeled. All healthy, clean peanuts (15 healthy/69 total peanut pods) were successfully separated from moldy ones. Separation was further detailed to distinguish peanuts infected with aflatoxin producing strains of Aspergillus flavus and Aspergillus parasiticus, and as a result, 87 % of samples were separated correctly as only moldy or toxic streams. Performance test was conducted with 36 different samples including toxic, moldy, and clean samples; 80.6 % correct classification was achieved.

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Mid-infrared spectroscopy for discrimination and classification of Aspergillus spp. contamination in peanuts

Cited by 43 publications

References 24 publications

Detection and identification of fungal growth on freeze‐dried Agaricus bisporus using spectra and olfactory sensors

Detection and identification of fungal growth on freeze‐dried Agaricus bisporus using spectra and olfactory sensors

Taxonomy ofAspergillussectionFlaviand their production of aflatoxins, ochratoxins and other mycotoxins

Characterization of Invasion of Genus Aspergillus on Peanut Seeds Using FTIR-PAS

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