Polychlorinated Biphenyls

Webster, G. R. B.; Birkholz, D. A.

doi:10.1007/978-1-4613-2361-7_11

Cited by 2 publications

(1 citation statement)

References 45 publications

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“…In case of majority organochlorine compounds, two characteristic MS peaks can be distinguished, namely, molecular ion peak [M] and [M-35] signal which is related to the most abundant chlorine isotope 35 Cl elimination (Krupčík et al 1976;Österberg and Lindström 1985;Webster and Birkholz 1985;Nolte et al 1993;Beil et al 1997;Pollmann et al 2001). When [M] is not the base peak, fragmentation proceeds rapidly.…”

Section: Characteristics Of Ms Spectra Classification Modelsmentioning

confidence: 99%

The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification

Przybyłek

Studziński

Gackowska

et al. 2019

Environ Sci Pollut Res

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Developing of theoretical tools can be very helpful for supporting new pollutant detection. Nowadays, a combination of mass spectrometry and chromatographic techniques are the most basic environmental monitoring methods. In this paper, two organochlorine compound mass spectra classification systems were proposed. The classification models were developed within the framework of artificial neural networks (ANNs) and fast 1D and 2D molecular descriptor calculations. Based on the intensities of two characteristic MS peaks, namely, [M] and [M-35], two classification criterions were proposed. According to criterion I, class 1 comprises [M] signals with the intensity higher than 800 NIST units, while class 2 consists of signals with the intensity lower or equal than 800. According to criterion II, class 1 consists of [M-35] signals with the intensity higher than 100, while signals with the intensity lower or equal than 100 belong to class 2. As a result of ANNs learning stage, five models for both classification criterions were generated. The external model validation showed that all ANNs are characterized by high predicting power; however, criterion I-based ANNs are much more accurate and therefore are more suitable for analytical purposes. In order to obtain another confirmation, selected ANNs were tested against additional dataset comprising popular sunscreen agents disinfection by-products reported in previous works.Electronic supplementary materialThe online version of this article (10.1007/s11356-019-05968-4) contains supplementary material, which is available to authorized users.

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Section: Characteristics Of Ms Spectra Classification Modelsmentioning

confidence: 99%

The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification

Przybyłek

Studziński

Gackowska

et al. 2019

Environ Sci Pollut Res

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Radio-Detoxication of Olive Cake

Allah

Farag²,

Abo-zaid

1994

Isotopenpraxis Isotopes in Environmental and Health Studies

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The possibility of reducing toxic substances in olive by-products subjected as animal feed stuffs after oil extraction was investigated.Total phenols in fresh olive fruits were 0.6%(fruit), 0.7%(woody pit) and 0.31%in cakes after extraction. Irradiation of the olive cake powder at different doses(0, 10,50 and 100 kGy) was done as a trial to remove the toxic substances. The results proved that irradiation decreases total phenols of olive cake from 0.31% (control) to 0.21,0.16 and 0.08%at the doses used, respectively.Subcutaneously injected ethanolic extract of unirradiated or irradiated (with 10 kGy) olive cake was lethal to the rats, while at 50 and 100 kGy all rats survived.Liver and heart functions were measured in terms of activities of glutamate oxaloacetate transaminase (GOT), glutamate pyruvate transaminase (GPT), total protein and lactic acid dehydrogenase (LDH). In addition, plasma total lipids, cholesterol, triglycerides, glucose and blood heamoglobin were measured.Results obtained showed that the toxic substances in olive cake induced toxicosis symptoms with the experimental rats treated with the irradiated (50 kGy) samples. The toxic compounds could be destroyed at an irradiation dose level of 100 kGy without harmful effects on liver and heart functions as well as heamoglobin, carbohydrate and lipid metabolisms. After further investigations, irradiation with 100 kGy shall be recommended to be used for detoxication of olive by-products for animal feeding without deleterious side effects.

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Polychlorinated Biphenyls

Cited by 2 publications

References 45 publications

The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification

The use of fast molecular descriptors and artificial neural networks approach in organochlorine compounds electron ionization mass spectra classification

Radio-Detoxication of Olive Cake

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