Heavy metals detection using biosensor cells of a novel marine luminescent bacterium Vibrio sp. MM1 isolated from the Caspian Sea

Mohseni, Mojtaba; Abbaszadeh, Jaber; Maghool, Shima-Sadat; Chaichi, Mohammad Javad

doi:10.1016/j.ecoenv.2017.11.002

Cited by 26 publications

(13 citation statements)

References 33 publications

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“…Therefore, it is possible to utilize such property in monitoring and estimating the toxicity of any pollutant, even at low concentrations. Generally, the bioluminescence inhibition assay (BIA) becomes one of the most popular bioassays for the evaluation of toxicity in aqueous solutions [ 5 , 6 ]. Accordingly, the bioluminescent strain Vibrio sp.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, fish, crustaceans, and algae were employed as toxicity evaluation bioassays. However, time-consuming, large sample volume, and capital intensive are the major problems associated with such organisms [ 6 ]. Therefore, the employment of microbial cells in the detection and monitoring of toxicants is advantageous in the discipline of ecotoxicological assessment and also as prober alternatives to traditional analytical methods [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

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Toxicity monitoring of solvents, hydrocarbons, and heavy metals using statistically optimized model of luminous Vibrio sp. 6HFE

Hassan

Eltarahony

Abu-Elreesh

et al. 2022

Journal of Genetic Engineering and Biotechnology

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Background The utilization of bioluminescent bacteria in environmental monitoring of water contaminates considers being a vital and powerful approach. This study aimed to isolate, optimize, and apply luminescent bacteria for toxicity monitoring of various toxicants in wastewater. Results On the basis of light intensity, strain Vibrio sp. 6HFE was initially selected, physiologically/morphologically characterized, and identified using the 16SrDNA gene. The luminescence production was further optimized by employing statistical approaches (Plackett-Burman design and central composite design). The maximum bioluminescence intensity recorded 1.53 × 106 CPS using optimized medium containing (g/L), yeast extract (0.2g), CaCl2 (4.0), MgSO4 (0.1), and K2HPO4 (0.1) by 2.3-fold increase within 1h. The harnessing of Vibrio sp. 6HFE as a bioluminescent reporter for toxicity of organic solvents was examined using a bioluminescence inhibition assay. According to IC50 results, the toxicity order of such pollutants was chloroform > isoamyl > acetic acid > formamide > ethyl acetate > acetonitrile > DMSO > acetone > methanol. However, among eight heavy metals tested, the bioluminescence was most sensitive to Ag+ and Hg+ and least sensitive to Co2+ and Ni2+. Additionally, the bioluminescence was inhibited by benzene, catechol, phenol, and penta-chlorophenol at 443.1, 500, 535.1, and 537.4 ppm. Conclusion Vibrio sp. 6HFE succeeded in pollution detection at four different environmental and wastewater samples revealing its efficiency in ecotoxicity monitoring.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toxicity monitoring of solvents, hydrocarbons, and heavy metals using statistically optimized model of luminous Vibrio sp. 6HFE

Hassan

Eltarahony

Abu-Elreesh

et al. 2022

Journal of Genetic Engineering and Biotechnology

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“…Heavy metals are the most essential substances contaminating soil [93], and the luminescent bacterial biosensors provide a rapid and sensitive method for evaluating heavy metal contamination in soil and sediment [94]. Ivask et al designed a fiber‐optic biosensor for measuring Hg and As, attaching alginate‐immobilized recombinant bacteria to the fiber optic, which was evaluated on 10 native soil and sediment samples [95].…”

Section: Applications Of Luminescent Bacteria–based Biosensorsmentioning

confidence: 99%

Section: Soil Toxicity Detectionmentioning

confidence: 99%

Recent advances in the development and applications of luminescent bacteria–based biosensors

Li,

Zhao,

et al. 2024

Luminescence

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Luminescent bacteria–based biosensors are widely used for fast and sensitive monitoring of food safety, water quality, and other environmental pollutions. Recent advancements in biomedical engineering technology have led to improved portability, integration, and intelligence of these biotoxicity assays. Moreover, genetic engineering has played a significant role in the development of recombinant luminescent bacterial biosensors, enhancing both detection accuracy and sensitivity. This review provides an overview of recent advances in the development and applications of novel luminescent bacteria–based biosensors, and future perspectives and challenges in the cutting‐edge research, market translation, and practical applications of luminescent bacterial biosensing are discussed.

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“…1B). The basic operation of this approach was to integrate the bacteria onto hardware platforms, which was inspired by existing luminescent sensors (26). The Ac-tox reaction between the sample and luminescent bacteria was realized by another IJP operation.…”

Section: Overall Schemementioning

confidence: 99%

Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip

Duan¹,

Lee²,

Gao³

et al. 2019

Preprint

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<p>Machine learning (ML) has brought significant technological innovations in many fields, but it has not been widely embraced by most researchers of natural sciences to date. Traditional understanding and promotion of chemical analysis cannot meet the definition and requirement of big data for running of ML. Over the years, we focused on building a more versatile and low-cost approach to the acquisition of copious amounts of data containing in a chemical reaction. The generated data meet exclusively the thirst of ML when swimming in the vast space of chemical effect. As proof in this study, we carried out a case for acute toxicity test throughout the whole routine, from model building, chip preparation, data collection, and ML training. Such a strategy will probably play an important role in connecting ML with much research in natural science in the future.</p>

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Heavy metals detection using biosensor cells of a novel marine luminescent bacterium Vibrio sp. MM1 isolated from the Caspian Sea

Cited by 26 publications

References 33 publications

Toxicity monitoring of solvents, hydrocarbons, and heavy metals using statistically optimized model of luminous Vibrio sp. 6HFE

Toxicity monitoring of solvents, hydrocarbons, and heavy metals using statistically optimized model of luminous Vibrio sp. 6HFE

Recent advances in the development and applications of luminescent bacteria–based biosensors

Machine Learning for Acute Toxicity Prediction Using High-Throughput Enzyme-Reaction Chip

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