A Novel Aptamer-Imprinted Polymer-Based Electrochemical Biosensor for the Detection of Lead in Aquatic Products

Zhu, Nianxin; Liu, Xinna; Peng, Kaimin; Cao, Huibo; Yuan, Min; Ye, Tai; Wu, Xiuxiu; Yin, Fengqin; Yu, Jianguo; Hao, Liling; Fei, Xu

doi:10.3390/molecules28010196

Cited by 10 publications

(6 citation statements)

References 37 publications

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“…From the economic perspective, the per capita GDP of Yantai Port and its immediate hinterland has shown a downward trend in the past 2 years, the economic development speed has slowed down, and the annual output of aquatic products has also shown a downward trend in the past 2 years. According to the forecast results, the per capita GDP has shown an upward trend, but the increase is not large, and the annual output of aquatic products has shown a downward trend (Nianxin et al, 2022;Mojtaba and Hossein, 2023;Yuanjie et al, 2023). This shows that the economic development of Yantai Port and its hinterland city, Yantai City, is slow and the output is declining.…”

Section: Limitationsmentioning

confidence: 99%

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

Huang

2023

Front. Ecol. Evol.

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Previous machine learning models usually faced the problem of poor performance, especially for aquatic product supply chains. In this study, we proposed a coupling machine learning model Shapely value-based to predict the CCL demand of aquatic products (CCLD-AP). We first select the key impact indicators through the gray correlation degree and finally determine the indicator system. Secondly, gray prediction, principal component regression analysis prediction, and BP neural network models are constructed from the perspective of time series, linear regression and nonlinear, combined with three single forecasts, a combined forecasting model is constructed, the error analysis of all prediction model results shows that the combined prediction results are more accurate. Finally, the trend extrapolation method and time series are combined to predict the independent variable influencing factor value and the CCLD-AP from 2023 to 2027. Our study can provide a reference for the progress of CCLD-AP in ports and their hinterland cities.

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Section: Limitationsmentioning

confidence: 99%

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

Huang

2023

Front. Ecol. Evol.

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“…The lead ion enrichment and current signal value increase with increasing lead ion concentration in the solution. Thus, by detecting the current signal value, the lead ion concentration can be determined [ 64 ].…”

Section: Electrochemical Biosensor Detection Of Heavy Metalsmentioning

confidence: 99%

“… ( a ) Schematic diagram of aptamer-IIP-Pb(II) preparation for detection of Pb(II), typical CV curves of bare GCE, AuNPs/GCE, aptamer/AuNPs/GCE, aptamer/MCH/AuNPs/GCE and Pb(II)/Aptamer/MCH/AuNPs/GCE [ 64 ]. Reprinted with permission [ 64 ]. Copyright 2022, Molecules.…”

Section: Figures and Schemementioning

confidence: 99%

Recent Advances in the Application of Bionanosensors for the Analysis of Heavy Metals in Aquatic Environments

Wu,

Ga,

Wang

et al. 2023

Molecules

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Heavy-metal ions (HMIs) as a pollutant, if not properly processed, used, and disposed of, will not only have an influence on the ecological environment but also pose significant health hazards to humans, making them a primary factor that endangers human health and harms the environment. Heavy metals come from a variety of sources, the most common of which are agriculture, industry, and sewerage. As a result, there is an urgent demand for portable, low-cost, and effective analytical tools. Bionanosensors have been rapidly developed in recent years due to their advantages of speed, mobility, and high sensitivity. To accomplish effective HMI pollution control, it is important not only to precisely pinpoint the source and content of pollution but also to perform real-time and speedy in situ detection of its composition. This study summarizes heavy-metal-ion (HMI) sensing research advances over the last five years (2019–2023), describing and analyzing major examples of electrochemical and optical bionanosensors for Hg2+, Cu2+, Pb2+, Cd2+, Cr6+, and Zn2+.

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“…GQ‐based biosensors 11–14 detect biomarkers typical of precise pathologies, as for example, abnormal concentration of K + in the blood of patients undergoing hemodialysis, 15 the presence of SARS‐CoV‐2 16 or that of short DNA fragments (cfDNA) in the plasma of patients with cancer 17 . Sensors operating on similar principles are also used for the detection of chemicals detrimental to the health, such carcinogenic azo dyes encountered as food additives, 18 or Pb 2+ ions in aquatic products 19 . Most commonly, detection is achieved through optical and/or electrochemical methods and requires the mediation of an appropriate label chemically attached to the nucleic acid, or of a dye simply interacting with the GQ structure (label‐free sensors).…”

Section: Introductionmentioning

confidence: 99%

“…17 Sensors operating on similar principles are also used for the detection of chemicals detrimental to the health, such carcinogenic azo dyes encountered as food additives, 18 or Pb 2+ ions in aquatic products. 19 Most commonly, detection is achieved through optical and/or electrochemical methods and requires the mediation of an appropriate label chemically attached to the nucleic acid, or of a dye simply interacting with the GQ structure (label-free sensors).…”

Section: Introductionmentioning

confidence: 99%

Processes triggered in guanine quadruplexes by direct absorption of UV radiation: From fundamental studies toward optoelectronic biosensors

Markovitsi

2023

Photochem & Photobiology

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Guanine quadruplexes (GQs) are four‐stranded DNA/RNA structures exhibiting an important polymorphism. During the past two decades, their study by time‐resolved spectroscopy, from femtoseconds to milliseconds, associated to computational methods, shed light on the primary processes occurring when they absorb UV radiation. Quite recently, their utilization in label‐free and dye‐free biosensors was explored by a few groups. In view of such developments, this review discusses the outcomes of the fundamental studies that could contribute to the design of future optoelectronic biosensors using fluorescence or charge carriers stemming directly from GQs, without mediation of other molecules, as it is the currently the case. It explains how the excited state relaxation influences both the fluorescence intensity and the efficiency of low‐energy photoionization, occurring via a complex mechanism. The corresponding quantum yields, determined with excitation at 266/267 nm, fall in the range of (3.0–9.5) × 10−4 and (3.2–9.2) × 10−3, respectively. These values, significantly higher than the corresponding values found for duplexes, depend strongly on certain structural factors (molecularity, metal cations, peripheral bases, number of tetrads …) which intervene in the relaxation process. Accordingly, these features can be tuned to optimize the desired signal.

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A Novel Aptamer-Imprinted Polymer-Based Electrochemical Biosensor for the Detection of Lead in Aquatic Products

Cited by 10 publications

References 37 publications

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

An improved machine learning model Shapley value-based to forecast demand for aquatic product supply chain

Recent Advances in the Application of Bionanosensors for the Analysis of Heavy Metals in Aquatic Environments

Processes triggered in guanine quadruplexes by direct absorption of UV radiation: From fundamental studies toward optoelectronic biosensors

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