Principal components analysis: An innovative approach to establish interferences in ochratoxin A detection

Kupski, Larine; Badiale‐Furlong, Eliana

doi:10.1016/j.foodchem.2015.01.005

Cited by 27 publications

(8 citation statements)

References 25 publications

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“…The stock solution was prepared by dissolving the OTA in benzene:acetonitrile (98:2, v v −1 ), followed by dilution in benzene:acetic acid (99:1, v v −1 ), to obtain appropriate working solutions. The solution concentration was determined by the w v −1 relation and the method described by Kupski and Badiale-Furlon [24], with the use of molar absorptivity (5550 L mol −1 cm −1 ) of the standard at 333 nm. All material was stored at − 10°C.…”

Section: Methodsmentioning

confidence: 99%

“…Some microorganisms, such as Aspergillus oryzae and Rhizopus oryzae, and enzymes, like carboxypeptidase A and lipases, have been investigated for their efficacy as biological mycotoxin-degrading agents [22][23][24][25]. However, although researchers have studied the ability of peroxidase (PO) to reduce the toxicity of mycotoxins as zearalenone and deoxynivalenol [1][2][3][4], this enzyme has not yet been reviewed regarding its capability to degrade OTA.…”

Section: Introductionmentioning

confidence: 99%

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Ochratoxin A reduction by peroxidase in a model system and grape juice

et al. 2019

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This study aimed at evaluating the potential of the peroxidase (PO) enzyme to reduce ochratoxin A (OTA) levels and its application to grape juice. Both commercial PO and PO extracted from rice bran were evaluated, respectively, regarding their activity towards OTA in a model system. The affinity between PO and OTA was verified by the Michaelis-Menton constant and the maximum velocity parameters, resulting in 0.27 μM and 0.015 μM min −1 for the commercial enzyme, and 6.5 μM and 0.031 μM min −1 for PO extracted from rice bran, respectively. The lowest residual OTA levels occurred when 0.063 U mL −1 of the enzyme was applied. Under these conditions, the OTA reduction was 41% in 5 h for the commercial enzyme, and 59% in 24 h, for PO extracted from rice bran. When the extracted PO, with the activity of 0.063 U mL −1 , was applied to whole grape juice, the OTA levels decreased to 17%, at 24 h. The capacity shown by PO for reducing OTA levels was confirmed in whole white grape juice, as a model system. This study may assist the wine industry to offer healthier products and add value to rice bran.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ochratoxin A reduction by peroxidase in a model system and grape juice

et al. 2019

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“…The challenge was that the QuEChERS method, developed by Azaiez et al (2014), employed acetonitrile as an extractor solvent of the mycotoxins, as with other authors that adopted this procedure before. The black raisin sample was chosen to validate the adapted method, since it is, among the fruits under study, the one which is more probable to possess interference (carbohydrates and pigments) that could be difficult to recover with QuEChERS (Anastassiades et al, 2003;Kupski & Badiale-Furlong, 2015) and would need more steps to clarify the extract. Ot was shown by the results of preliminary tests (experiment 1: no detection) that acetonitrile was not able to recover PAT, however a mix of water and ethyl-acetate was more efficient (experiments: 2,3,4).…”

Section: Mycotoxicological Contamination Of Dry Fruitsmentioning

confidence: 99%

Dry fruit as source of fungal contaminants or functional compounds?

et al. 2020

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This study evaluated the role of dry fruits as a source of fungal contaminants or functional compounds. Dry apple, apricot, candied fruits, prune, and white and black raisin were evaluated regarding patulin and ergosterol content, centesimal composition, pH, acidity, pectin, and phenolic profile. The ergosterol was detected in 38% of the samples and patulin (PAT) in 89%, the apricot samples stood out most by contaminant level. Apricot, candied fruit, and prunes presented moisture values beyond the other dry fruits. The pH ranged from 3.8 to 4.6; acidity from 0.1 to 1.0%; sugar content from 1.7 to 5.5%; and levels of soluble and insoluble pectin from 1.6 to 5.1% and 10.9% to 27.3%, respectively. The apples showed a higher content of free phenolic compounds (6.6 mg of gallic acid/g) with a predominance of gallic and protocatechuic acids. Pearson's correlation showed a significant positive correlation between patulin and ergosterol content (0.99) and soluble pectin (0.78); a significant negative relation between total sugars (-0.66) and free phenolic compounds (-0.63). Fungal contamination and the occurrence of PAT show that this mycotoxin is present and, therefore, the evaluation of fungal toxins in dry fruits is recommended before claiming them to be a source of functional compounds. Practical Application:The study conducted in this work proves that a concern regarding the consumption of dehydrated fruits is necessary. Since they are widely consumed due to their practicality and present different levels of contamination by mycotoxin patulin.

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“…The principal component analysis (PCA) [13] is a popular technique in this regard. But it has a major weakness: it isn't invariant under a transformation of the variables.…”

Section: ) Calculating and Sorting MI Between Target Variable And Otmentioning

confidence: 99%

A Credit Scoring Model Based on Bayesian Network and Mutual Information

Zhuang

Tang

2015

2015 12th Web Information System and Application Conference (WISA)

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Credit scoring profiles the client relationships of empirical attributes (variables) and leverages a scoring model to draw client's credibility. However, empirical attributes often contains a certain degree of uncertainty and requires feature selection. Bayesian network (BN) is an important tool for dealing with uncertain problems and information. Mutual information (MI) measures dependencies between random variables and is therefore a suitable feature selection technique for evaluating the relationship between variables in a complex classification tasks. Using Bayesian network as a statistical model, this study leverages mutual information to build a credit scoring model called BNMI. The learned Bayesian network structure is adaptively adjusted according to mutual information. Empirical study compared the results of BNMI with three existing baseline models. The results show that the proposed model outperforms the baseline models in terms of receiver operating characteristic (ROC), indicating promising application of our BNMI in the credit scoring area.

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Principal components analysis: An innovative approach to establish interferences in ochratoxin A detection

Cited by 27 publications

References 25 publications

Ochratoxin A reduction by peroxidase in a model system and grape juice

Ochratoxin A reduction by peroxidase in a model system and grape juice

Dry fruit as source of fungal contaminants or functional compounds?

A Credit Scoring Model Based on Bayesian Network and Mutual Information

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