A review of the state-of-the-art wastewater quality characterization and measurement technologies. Is the shift to real-time monitoring nowadays feasible?

Moretti, Alessandro; Ivan, Heidi Lynn; Skvaril, Jan

doi:10.1016/j.jwpe.2024.105061

Cited by 2 publications

(2 citation statements)

References 197 publications

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“…To date, a significant number of laboratory models and several industrially produced biosensor BOD analyzers are known (now, the average cost of a commercial BOD biosensor is about USD 30,000). Reviews [9][10][11] have summarized information on BOD sensors developed to date, making it possible to determine BOD in the average range of 5-300 mg/L in about 5-60 min. Current problems regarding the development of BOD sensors include increasing the sensitivity of the analysis, increasing the long-term stability, simplifying maintenance requirements, and the insufficient resistance of the used microorganism cultures to heavy metals and various toxic substances [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…The use of redox-active polymers and their nanocomposites for the amperometric assessment of BOD and toxicity has attracted much attention due to their ease of miniaturization, reliability, and low cost [9,21,22]. The biosensor current is generated by redox-active particles of the polymer; they transfer electrons from the biomaterial to the electrode.…”

Section: Introductionmentioning

confidence: 99%

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A “2-in-1” Bioanalytical System Based on Nanocomposite Conductive Polymers for Early Detection of Surface Water Pollution

Kharkova,

Medvedeva,

Kuznetsova

et al. 2024

Polymers

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This work proposes an approach to the formation of receptor elements for the rapid diagnosis of the state of surface waters according to two indicators: the biochemical oxygen demand (BOD) index and toxicity. Associations among microorganisms based on the bacteria P. yeei and yeast S. cerevisiae, as well as associations of the yeasts O. polymorpha and B. adeninivorans, were formed to evaluate these indicators, respectively. The use of nanocomposite electrically conductive materials based on carbon nanotubes, biocompatible natural polymers—chitosan and bovine serum albumin cross-linked with ferrocenecarboxaldehyde, neutral red, safranin, and phenosafranin—has made it possible to expand the analytical capabilities of receptor systems. Redox polymers were studied by IR spectroscopy and Raman spectroscopy, the contents of electroactive components were determined by atomic absorption spectroscopy, and electrochemical properties were studied by electrochemical impedance and cyclic voltammetry methods. Based on the proposed kinetic approach to modeling individual stages of bioelectrochemical processes, the chitosan–neutral red/CNT composite was chosen to immobilize the yeast association between O. polymorpha (ks = 370 ± 20 L/g × s) and B. adeninivorans (320 ± 30 L/g × s), and a bovine serum albumin (BSA)–neutral composite was chosen to immobilize the association between the yeast S. cerevisiae (ks = 130 ± 10 L/g × s) and the bacteria P. yeei red/CNT (170 ± 30 L/g × s). After optimizing the composition of the receptor systems, it was shown that the use of nanocomposite materials together with associations among microorganisms makes it possible to determine BOD with high sensitivity (with a lower limit of 0.6 mg/dm3) and detect the presence of a wide range of toxicants of both organic and inorganic origin. Both receptor elements were tested on water samples, showing a high correlation between the results of biosensor analysis of BOD and toxicity and the results of standard analytical methods. The results obtained show broad prospects for creating sensitive and portable bioelectrochemical sensors for the early warning of environmentally hazardous situations based on associations among microorganisms and nanocomposite materials.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A “2-in-1” Bioanalytical System Based on Nanocomposite Conductive Polymers for Early Detection of Surface Water Pollution

Kharkova,

Medvedeva,

Kuznetsova

et al. 2024

Polymers

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The Role of AI in Sustainable Business Practices and Reporting in Emerging Economies

Nnam,

Okobo,

Olaniyan

2024

Advances in Business Information Systems and Analytics

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This study investigates artificial intelligence and how it can be leveraged upon in order to re-engineer existing business models, towards achieving sustainable development goals. The study analysed factors necessary to ensure an artificial intelligence assisted sustainable business model innovation to provide a framework for businesses in emerging economies. A systematic literature review of existing literature is undertaken using the Scopus database. Filtering processes are employed to arrive at 94 journal articles. The study adopts the PRISMA protocol to allow a comprehensive disclosure of the review process. The review process resulted in the development of thematic areas which provided a framework that guided the study. Case studies were also undertaken, analysed in a qualitative manner in order to capture the perceptions and experiences as well as the problems associated with leveraging artificial intelligence in sustainable business model innovation. The research output includes recommendation and policy implication.

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A review of the state-of-the-art wastewater quality characterization and measurement technologies. Is the shift to real-time monitoring nowadays feasible?

Cited by 2 publications

References 197 publications

A “2-in-1” Bioanalytical System Based on Nanocomposite Conductive Polymers for Early Detection of Surface Water Pollution

A “2-in-1” Bioanalytical System Based on Nanocomposite Conductive Polymers for Early Detection of Surface Water Pollution

The Role of AI in Sustainable Business Practices and Reporting in Emerging Economies

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