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Enregistrement W2963588286 · doi:10.22067/jsw.v0i0.37115

حذف آفتکش کنفیدور از آبهای آلوده توسط گونههای مختلف قارچ تریکودرما

2016· article· fa· W2963588286 sur OpenAlexaboutno aff
فرناز ارشادفتح, حسین بانژاد, فریبا محسن زاده

Notice bibliographique

RevueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languefa
DomaineAgricultural and Biological Sciences
ThématiqueInsect and Pesticide Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChemistry

Résumé

récupéré en direct d'OpenAlex

Introduction: Pesticides are considered as the most important pollutants in surface water and groundwater. Neonicotinoids are new group of insecticides, derived from nicotine. Their physicochemical properties render them useful for a wide range of application techniques, including foliar, seed treatment, soil drench and stem applications. Confidor, the representative of the first generation of neonicotinoid insecticides, was patented in 1985 by Bayer and was placed on the market in 1991. The Canadian Pest Management Regulatory Agency considers confidor to have high potential for surface water contamination, leaching to groundwater and persistence in soils. Biodegradation is one of the most effective ways to destroy pesticides in the environment. The application of Bioremediation techniques is taken into consideration as an option to reduce or remove pollutants from the environment due to their low cost, high efficiency and environmentally friendly features. Bioremediation by using microorganisms has not any adverse effect after cleanup. The accumulator microorganism species, haven’t pathogenic properties and aren’t the cause of disease on the other organisms. The selection of a biomass for using in bioremediation is very important, it should be abundant in environment and adapted to environmental conditions. The aim of this study was to investigate the ability of various species of Trichoderma fungi to remove Confidor from contaminated water influenced by variables like pH, concentration of the confidor and time. Materials and Methods: In order to conduct this study three different fungal species belonging to the genus Trichoderma were used. The samples were transferred to PDA (Potato Dextrose Agar) sterile solid media for in vitro testing usage. The samples were kept in refrigerator at 4◦C temperature, after the fungal biomass reached to maximal growth; the colonies were transferred to new media and used in our experiments as resources. After complete fungal growth on the solid media, liquid media were prepared with the formula containing 250 g/l potato extract, 20 g/l dextrose and 0.25 g/l Tetracycline antibiotic (to prevent bacteria growth) in three pH (5,7,9) and three toxicant concentrations (1, 3 and 5 mg/l). Lactic acid and KOH (3%) were used to adjust pH in the prepared media. The degradation experiments were performed in a 50 ml falcon for 1 month. All experiments were maintained under similar conditions. The samples were shacken daily. After 1 month of incubation, aliquots (2 ml) were removed; centrifuged and the supernatants were used for the estimation of concentration of residual confidor by spectrophotometer. The results were analyzed by SPSS software. Results and Discussion: According to the results T.harzianum with 60.34% confidor removal had the highest ability and T.tomentosum with 44.60% had the lowest ability to biological degradation of confidor from the polluted waters. The maximum confidor removal (75.89%) using T.harzianum was accrued to acidic media with 5 mg/l of confidor. The minimum confidor removal (53.09%) using T.asperellum was accrued to alkaline media with 1 mg/l of confidor. Using T.tomentosum the efficiency of confidor removal in media with pH=5 and concentration of 5 mg/l was increased by 10.95% and 15.63% compared to the environments with the concentrations of 3 and 1 mg/l, respectively. In the media containing T.harzianum, the percentage of confidor removal after 4 weeks was increased by 46.21% Compared to the first week. In the media containing T.harzianum, T.asperellum and T.tomentosum, the percentage of confidor removal after 4 weeks was increased by 46.21%, 37.06% and 32.84% respectively, Compared to the first week. Totally, the results showed that all the fungi species are capable to remove confodor. Toxicant concentration increasing from 1 mg/l to 5 mg/l, results in increasing the percentage of toxicant removal. The results of confidor removal from mediums with different pH demonstrated that in all studied fungi, toxicant removal at pH=5 is higher than other pH. The results obtained from this study confirm the hypothesis of positive effect of passing the time on confidor removal efficiency by different Trichoderma species. Conclusions: In general, we can conclude that three species of studied Trichoderma in this research can be applied for bioremediation of agricultural waters which are contaminated by confidor. As a result, by collecting the agricultural water that are contaminated with confider and application of these fungi as biological purifiers, we will access to a considerable amount of non-conventional water resources to irrigate of downstream. It is noteworthy that Trichoderma species in addition to the biorefinery potential of pollutants , are able to improve soil structure and increase plant resistance.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,048
Score d'incertitude au seuil0,159

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0480,032

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,429
Tête enseignante GPT0,584
Écart entre enseignants0,155 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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