Design of a liquid crystal-based aptasensing platform for ultrasensitive detection of tetracycline

Rouhbakhsh, Zeinab; Verdian, Asma; Rajabzadeh, Ghadir

doi:10.1016/j.talanta.2019.120246

Cited by 60 publications

(20 citation statements)

References 47 publications

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“…Besides, their orientation response can be amplified to their bulk. On the basis of their unique long‐range orientation and optical anisotropy, the disturbed LC orientations can be magnified and converted into the optical signals, and finally, can be in situ visualized by using polarized optical microscopy (Hussain et al, 2009; Jang et al, 2005; Rouhbakhsh et al, 2020; Wang et al, 2016). Hence, LCs can be efficient for naked‐eye target detection with no need for complicated laboratory‐based equipment.…”

Section: Introductionmentioning

confidence: 99%

“…Compared to the analytical methods, the LC‐based biosensors are label‐free and portable that converts them to the well‐suited monitoring assays (H. Kim et al, 2018; Verdian et al, 2020; Wang et al, 2019). Recently, the LC‐based biosensors have gained great attention as the new candidates for optical target monitoring, due to the special properties including simple fabrication, great sensitivity, cost‐effectiveness, high response speed, and additional labeling step (Hong & Jang, 2020; H. J. Kim & Jang, 2019; Rouhbakhsh et al, 2020). They are attractive to monitor a wide range of analytes, such as proteins, enzymes, lipids, nucleic acids, bacteria, heavy metal ions, and small molecules (Wang et al, 2019; D. Zhao et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Recent advances in computational methods for biosensor design

Khoshbin

Housaindokht

Izadyar

et al. 2020

Biotech & Bioengineering

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Biosensors are analytical tools with a great application in healthcare, food quality control, and environmental monitoring. They are of considerable interest to be designed by using cost‐effective and efficient approaches. Designing biosensors with improved functionality or application in new target detection has been converted to a fast‐growing field of biomedicine and biotechnology branches. Experimental efforts have led to valuable successes in the field of biosensor design; however, some deficiencies restrict their utilization for this purpose. Computational design of biosensors is introduced as a promising key to eliminate the gap. A set of reliable structure prediction of the biosensor segments, their stability, and accurate descriptors of molecular interactions are required to computationally design biosensors. In this review, we provide a comprehensive insight into the progress of computational methods to guide the design and development of biosensors, including molecular dynamics simulation, quantum mechanics calculations, molecular docking, virtual screening, and a combination of them as the hybrid methodologies. By relying on the recent advances in the computational methods, an opportunity emerged for them to be complementary or an alternative to the experimental methods in the field of biosensor design.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Recent advances in computational methods for biosensor design

Khoshbin

Housaindokht

Izadyar

et al. 2020

Biotech & Bioengineering

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“…The adsorption efficiency of the prepared activated carbon for removal of cefixime was evaluated in batch experiments. The effects of pH (2)(3)(4)(5)(6)(7)(8)(9)(10)(11), contact time (10-300 min), ionic strength (0-10%), and adsorption isotherms (10-200 mg L −1 ) on the efficiency of the method were studied carefully. The adsorption behavior (isothermal) of the adsorbent was analyzed by adding 50 mg samples of the adsorbent to 20 mL samples of cefixime solution at different concentrations.…”

Section: Adsorption Processmentioning

confidence: 99%

“…One common antibiotic used widely in the world is cefixime, which is useful for combating a number of serious bacterial infections such as pneumonia and urinary tract diseases [8,9]. Unfortunately, despite the clinical benefits of antibiotics, some of them are not completely metabolized by humans or animals during consumption, resulting in wide side effects [10,11]. Therefore, discharging antibiotics into the aqueous environments (rivers, groundwater, and lakes) without adequate treatment results in irreparable harm to human health, especially the promotion of antibiotic resistance of pathogenic microorganisms [12,13], among populations who drink it on a regular basis.…”

Section: Introductionmentioning

confidence: 99%

Nano-Size Biomass Derived from Pomegranate Peel for Enhanced Removal of Cefixime Antibiotic from Aqueous Media: Kinetic, Equilibrium and Thermodynamic Study

Bidhendi

Poursorkh

Sereshti

et al. 2020

IJERPH

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Nano-sized activated carbon was prepared from pomegranate peel (PG-AC) via NaOH chemical activation and was fully characterized using BET, FT-IR, FE-SEM, EDX, and XRD. The newly synthesized PG-AC was used for cefixime removal from the aqueous phase. The effective parameters on the adsorption process, including solution pH (2–11), salt effect (0–10%), adsorbent dosage (5–50 mg), contact time (5–300 min), and temperature (25–55 °C) were examined. The experimental adsorption equilibrium was in close agreement with the type IV isotherm model set by the International Union of Pure and Applied Chemistry (IUPAC). The adsorption process was evaluated with isotherm, kinetic, and thermodynamic models and it is were well fitted to the Freundlich isotherm (R2 = 0.992) and pseudo-second-order model (R2 = 0.999). The Langmuir isotherm provided a maximum adsorption capacity of 181.81 mg g−1 for cefixime uptake onto PG-AC after 60 min at pH 4. Hence, the isotherm, kinetic and thermodynamic models were indicated for the multilayer sorption followed by the exothermic physical adsorption mechanism.

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“…Recently, the LC-based biosensors have gained the great attention as the new candidates for the label-free optical target monitoring, due to the special properties including simple fabrication, great sensitivity, cost-effectiveness, high response speed, and no need for laborious processes, additional labeling step, and complex instruments (Hong & Jang, 2020; H. J. Kim, Jang, & Chemical, 2019;Rouhbakhsh, Verdian, & Rajabzadeh, 2020). They are attractive to monitor a wide range of analytes, such as proteins, enzymes, lipids, nucleic acids, bacteria, heavy metal ions, and small molecules (Y.…”

Section: Molecular Dynamics Simulationmentioning

confidence: 99%

Recent Advances in Computational Methods for Biosensor Design

Khoshbin

Housaindokht

Izadyar

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

Biosensors are the analytical tools with great application in healthcare, food quality control, and environmental monitoring. They are of considerable interest to be designed by using cost-effective and high efficient approaches. Designing biosensors with improved functionality or application in new target detection has been converted to a fast-growing field of biomedicine and biotechnology branches. Experimental efforts have led to valuable successes in biosensor designing; however, some deficiencies limit their utilization for this purpose. Computational design of biosensors has been introduced as a promising key to eliminate the gap. A set of reliable structure prediction of the biosensor segments, their stability, and accurate descriptors of molecular interactions are required to computationally design of biosensors. In this review, we provide a comprehensive insight into the progress of computational methods to guide the biosensor design, including molecular dynamics (MD) simulation, quantum mechanics (QM) calculations, molecular docking, virtual screening, and a combination of them as the hybrid methodologies. With relying on the recent advances in computational methods, an opportunity has been emerged for them to be complementary or alternative to the experimental methods in the field of biosensor design.

show abstract

Design of a liquid crystal-based aptasensing platform for ultrasensitive detection of tetracycline

Cited by 60 publications

References 47 publications

Recent advances in computational methods for biosensor design

Recent advances in computational methods for biosensor design

Nano-Size Biomass Derived from Pomegranate Peel for Enhanced Removal of Cefixime Antibiotic from Aqueous Media: Kinetic, Equilibrium and Thermodynamic Study

Recent Advances in Computational Methods for Biosensor Design

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