Dual-template molecularly surface imprinted polymer on fluorescent metal-organic frameworks functionalized with carbon dots for ascorbic acid and uric acid detection

Pirot, Shano M.; Omer, Khalid M.; Alshatteri, Azad H.; Ali, Gona K.; Shatery, Omer Baqi Ahmed

doi:10.1016/j.saa.2023.122340

Cited by 43 publications

(12 citation statements)

References 97 publications

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“…Luminescent carbon dots (CDs) were synthesized using m -phenylenediamine (mPD) as the carbon source. , The complete experimental details can be found in our previous work . Briefly, the synthesis involved a solvothermal reaction conducted in an ethylene glycol environment acidified with hydrochloric acid.…”

Section: Methodsmentioning

confidence: 99%

Metal Ion Sensing with Phenylenediamine Quantum Dots in Blood Serum

Fatkhutdinova,

Barhum,

Gerasimova

et al. 2023

ACS Appl. Nano Mater.

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Section: Methodsmentioning

confidence: 99%

Metal Ion Sensing with Phenylenediamine Quantum Dots in Blood Serum

Fatkhutdinova,

Barhum,

Gerasimova

et al. 2023

ACS Appl. Nano Mater.

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“…In the case of UA, the detection limit was 1.10 μM within the same range as for ascorbic acid. The detection was further performed in human urine samples . The drawback is that mixing both analytes could quench the whole MOF signal.…”

Section: Utilization Of Mofs As Ua Sensorsmentioning

confidence: 99%

“…The detection was further performed in human urine samples. 59 The drawback is that mixing both analytes could quench the whole MOF signal. Though the MIP technique could be a solution for selective sensing of UA, more in this regard could be explored to examine/explore the selectivity.…”

Section: ■ Introductionmentioning

confidence: 99%

Review on Uric Acid Recognition by MOFs with a Future in Machine Learning

Hazra,

Vadnere,

Mishra

et al. 2023

ACS Appl. Mater. Interfaces

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Uric acid (UA) is produced from purine metabolism and serves as a prevalent biomarker for multiple diseases including cancer. Hyperuricemia or hypouricemia can cause multiple dysfunctions throughout the biological processes. Consequently, there is a pressing need for monitoring UA concentration in body fluid. While clinical methods are known, the availability of a point-of-care testing (PoCT) kit remains conspicuously absent. In the case of electrochemical recognition of UA, the oxidation potential of ascorbic acid closely aligns with that of UA and thus it hinders the detection process, which eventually may result in false positive signals. Several chemosensors are known in the field of supramolecular chemistry, and metal–organic frameworks (MOFs) are one of the best-performing contenders due to their robustness, stability, and versatile structures. In this review, we tried to unbox the up-to-date development of UA sensing by MOFs. We delve into the state of UA recognition by MOFs, exploring both electrochemical and fluorometric pathways and drawing comparisons with structurally similar probes like covalent organic frameworks (COFs) to understand/establish the advantages of MOFs specifically in UA sensing. In the absence of a PoCT kit, we have provided the conceptual outlook for designing a PoCT device termed a “Urimeter” via electrochemical operation. For the first time, we have proposed different methods of how UA sensing can be tied up with artificial intelligence and machine learning (AI-ML).

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“…Metal–organic frameworks (MOFs) are a novel class of functional nanomaterials with a variety of interesting features. − The well-defined crystalline structure provided by the framework’s long-ordered arrangement of nodes and organic linkers is useful for structure–property-related investigations. In addition to providing routes for the mass movement of reactants and products, the large surface area of MOFs facilitates the appropriate exposure of active areas.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Peroxidase-Mimic Catalytic Activity via Cerium Doping of Strontium-Based Metal–Organic Frameworks with Design of a Smartphone-Based Sensor for On-Site Salivary Total Antioxidant Capacity Detection in Lung Cancer Patients

Alshatteri

Ali

Omer

2023

ACS Appl. Mater. Interfaces

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The development of artificial nanozymes with superior catalytic performance and excellent stability has been a long-standing objective for chemists. The total antioxidant capacity (TAC) is one of the most important bioanalytical measures of oxidative stress in the body. The present work aims to develop a smartphone-assisted visual detection sensor using cerium-doped strontium-based metal–organic frameworks (Ce-SrMOFs) as peroxidase-like nanozymes for the rapid, low-cost, on-site detection of TAC. The pristine SrMOF functioned as a peroxidase nanozyme, and its enzymatic activity was enhanced after doping it with Ce(IV) ions because of the multivalent nature and synergistic impact of the heteroatoms. The Ce-SrMOFs were sensitive to the single electron transfer and hydrogen atom transfer processes, which implies that the Ce-SrMOFs can serve as an ideal nanozyme candidate for TAC analysis. The investigated mechanism revealed that •OH is the most active oxygen species for the peroxidase-like activity. The Ce-SrMOFs exhibited a strong affinity for 3,3′,5,5′-tetramethylbenzidine (TMB) and H2O2, with K m values of 0.082 and 0.427 mM, which are 5.29- and 8.67-fold lower than those of horseradish peroxidase (HRP), respectively. The Ce-SrMOFs were used for the detection of ascorbic acid, cysteine, and glutathione, with limits of detection of 44, 53, and 512 nM, respectively. The proposed method proved effective in measuring the TAC in saliva samples from lung cancer patients, thereby yielding results with satisfactory precision and accuracy.

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Dual-template molecularly surface imprinted polymer on fluorescent metal-organic frameworks functionalized with carbon dots for ascorbic acid and uric acid detection

Cited by 43 publications

References 97 publications

Metal Ion Sensing with Phenylenediamine Quantum Dots in Blood Serum

Metal Ion Sensing with Phenylenediamine Quantum Dots in Blood Serum

Review on Uric Acid Recognition by MOFs with a Future in Machine Learning

Enhanced Peroxidase-Mimic Catalytic Activity via Cerium Doping of Strontium-Based Metal–Organic Frameworks with Design of a Smartphone-Based Sensor for On-Site Salivary Total Antioxidant Capacity Detection in Lung Cancer Patients

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