Evaluation of Ceratophyllum demersum as the accumulative bioindicator for trace metals

Polechońska, Ludmiła; Klink, Agnieszka; Dambiec, Małgorzata; Rudecki, Andrzej

doi:10.1016/j.ecolind.2018.05.020

Cited by 32 publications

(16 citation statements)

References 37 publications

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“…(4) They need to be easy to sample and raise in the laboratory. ( 5) They should occupy an important position in the food chain (Zhou et al, 2008;Polechońska et al, 2018) and they need to be able to absorb high levels of contaminants without dying (Zhou et al, 2008). Z. noltei is a widespread and abundant species in coastal semi-enclosed ecosystems along the Atlantic coast of Morocco, which makes it fit most of the abovementioned characteristics for this study.…”

Section: Performance Of Zostera Noltei As Bioindicatormentioning

confidence: 99%

Biomonitoring environmental status in semi-enclosed coastal ecosystems using Zostera noltei meadows

Boutahar

Maanan

Bououarour

et al. 2019

Ecological Indicators

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Section: Performance Of Zostera Noltei As Bioindicatormentioning

confidence: 99%

Biomonitoring environmental status in semi-enclosed coastal ecosystems using Zostera noltei meadows

Boutahar

Maanan

Bououarour

et al. 2019

Ecological Indicators

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“…The index reflects the possible type of carcinogenic risk [17]. Moreover, the Nemerow integrated pollution index (NIPI) is a water pollution index used to evaluate heavy metal pollution in soil or sediment [18]. Considering the need to integrate the heavy metal hazards of grain processing products with environmental and health factors, we introduced food safety risk assessment indexes-TCR, THQ, and NIPI-to comprehensively measure the heavy metal hazard in grain processing products and used them as inputs in early-warning models.…”

Section: Background Studies 21 Food Safety Risk Assessment and Classi...mentioning

confidence: 99%

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

Wang

Zou

et al. 2022

Foods

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Grain processing products constitute an essential component of the human diet and are among the main sources of heavy metal intake. Therefore, a systematic assessment of risk factors and early-warning systems are vital to control heavy metal hazards in grain processing products. In this study, we established a risk assessment model to systematically analyze heavy metal hazards and combined the model with the K-means++ algorithm to perform risk level classification. We then employed deep learning models to conduct a multi-step prediction of risk levels, providing an early warning of food safety risks. By introducing a voting-ensemble technique, the accuracy of the prediction model was improved. The results indicated that the proposed model was superior to other models, exhibiting the overall accuracy of 90.47% in the 7-day prediction and thus satisfying the basic requirement of the food supervision department. This study provides a novel early-warning model for the systematic assessment of the risk level and further allows the development of targeted regulatory strategies to improve supervision efficiency.

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“…Another carnivorous plant, Saraccenia leucophylla, has homeostatic mechanisms to reduce the uptake of essential micro nutrients such as copper (Cu), although a low ability to regulate the cadmium (Cd) concentration was observed [56]. C. demersum has a higher metal ion uptake ability than A. vesiculosa because of the high bioaccumulation factors exceeding 10 3 for many trace metals including Zn as reported by Polechońska et al [57]. The morphological characteristics of C. demersum such as forked leaves, a thin cuticle, a large aerenchyma area, and large mesophyll cells, facilitate the uptake of metals [36,37].…”

Section: Impact Of Ha On Zn Accumulation In Aquatic Plantsmentioning

confidence: 99%

Visualization and Quantification of the Impact of Humic Acid on Zinc Accumulation in Aquatic Plants Using a Low-Molecular-Weight Fluorescent Probe

Meetiyagoda

Fadilah

Hagimori

et al. 2021

J. of Wat. & Envir. Tech.

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The main aims of this study were to investigate the impact of humic acid (HA) on zinc (Zn) accumulation in aquatic plants and to study a low-molecular-weight Zn 2+ -selective fluorescent probe to visualize and quantify the tissue-level Zn concentrations. Ceratophyllum demersum and Aldrovanda vesiculosa were exposed to solutions containing Zn (1 and 3 mg/L), HA (0.5 mg/L), and Zn with HA for nine days. The Zn accumulation (mg/g) in the plants was measured by ICP-OES and we applied a Zn 2+ -selective fluorescent probe with a low molecular weight to the analysis of Zn in C. demersum plant cells using fluorescence microscopy and ImageJ software. The application of HA reduced the Zn accumulation significantly (p < 0.05) and increased the chlorophyll concentration slightly less significantly (p > 0.05) in both plants. Results obtained from ImageJ revealed a strong positive correlation between fluorescence intensity and the Zn accumulation in C. demersum (r = 0.988). We showed that the application of HA reduced the Zn accumulation in both plants, and successfully visualized and quantified that a Zn 2+ -selective fluorescent probe with a low molecular weight can be applied to the diagnosis of Zn osmosis into a cell or tissue on the basis of fluorescence intensity.

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Evaluation of Ceratophyllum demersum as the accumulative bioindicator for trace metals

Cited by 32 publications

References 37 publications

Biomonitoring environmental status in semi-enclosed coastal ecosystems using Zostera noltei meadows

Biomonitoring environmental status in semi-enclosed coastal ecosystems using Zostera noltei meadows

A Voting-Based Ensemble Deep Learning Method Focused on Multi-Step Prediction of Food Safety Risk Levels: Applications in Hazard Analysis of Heavy Metals in Grain Processing Products

Visualization and Quantification of the Impact of Humic Acid on Zinc Accumulation in Aquatic Plants Using a Low-Molecular-Weight Fluorescent Probe

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