A novel electrochemical sensor based on dual-functional MMIP-CuMOFs for both target recognition and signal reporting and its application for sensing bisphenol A in milk

Exploring the potential of metal-organic framework based composites as key players in bisphenol detection

The extensive usage of bisphenols in the production of plastics and other materials has raised concerns about their potential adverse effects on human and marine ecosystems. This comprehensive review paper aims to provide insights into the various types of bisphenols and their derivatives, as well as the multiple pathways through which human and marine life can be exposed to these compounds. Additionally, it highlights the growing importance of developing effective detection methods for bisphenols and their derivatives due to their potential health and environmental implications. The focus then shifts towards metal-organic frameworks (MOFs) as promising materials for the detection of bisphenols. We delve into the characteristic properties of MOFs and their potential and limitations in the detection of bisphenols and their derivatives. This paper also addresses the significance of pristine MOFs and explores the potential of MOF-based composites for achieving enhanced detection performance. Subsequently, various detection techniques utilizing MOFs and their composites are reviewed. In the final sections, the recent strategic developments and challenges in this field, offering a concise summary of the principal findings of this review, novel approaches, limitations of current methodologies, and emerging trends for future directions, are discussed. This comprehensive exploration of the subject matter not only illuminates the current state of research on the detection of bisphenols but also provides valuable insights into the opportunities and challenges in this evolving field. In conclusion, this review underscores the critical importance of advancing the detection of bisphenols and their derivatives, with MOFs and their composites emerging as promising candidates for more efficient and sensitive detection. The potential for their applications in diverse fields, coupled with ongoing research efforts, suggests a bright future for MOF-based bisphenol detection technologies.

A molecularly imprinted electrochemical sensor based on in-situ polymerization for rapid and selective detection of tonalide in aqueous environment

Given the adverse effects of tonalide (AHTN) on aquatic organisms and humans, coupled with the limitations of current detection methods, which are time-consuming, require expensive equipment and complicated sample preparation procedures, there is a clear need to develop a new technique for detecting AHTN that is highly sensitive, rapid, cost-effective and efficient. In this study, a new simple electrochemical sensor for the determination of AHTN in aqueous environments was developed for the first time through the in-situ polymerization of an AHTN-imprinted polymer on the surface of a graphene (G)-modified carbon electrode (GCE). Following a series of comparative tests, including cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), Fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM), the novel AHTN molecularly imprinted sensor (AHTN-MIP/G/GCE) has been demonstrated to be an effective tool for monitoring AHTN. The results demonstrate that the linear detection range of the current response of the AHTN-MIP/G/GCE 1electrode to AHTN was 0.01 μM-4 μM (i.e., 2.584 μg/L-1033.6 μg/L), with a detection limit of 2.3 × 10⁻⁹ M (i.e., 594.32 ng/L), following the optimization of the experimental conditions. Furthermore, the new sensor was successfully employed for the detection of AHTN in water samples, with recoveries of 97.1%-108.2 % with the added standards. Consequently, the new electrochemical sensor demonstrated good stability and acceptable reproducibility. This study provides a new method for the future detection of AHTN in the aqueous environment.

Characterization of the effects of bridging linker on the β-Lactoglobulin binding mechanism on the nanoscale metal-organic frameworks

Revealing the interaction modes between nanoscale metal-organic frameworks (NMOFs) and food matrix is crucial for functional release but it still remains largely unknown to date. This study specifically focused on the milk protein adsorption mechanism of NMOFs using UiO66/UiO66-NH2 and β-lactoglobulin (β-LG) as models. UiO66 and UiO66-NH2 quenched the fluorescence of β-LG via static mechanism. Due to the enhanced electrostatic forces caused by NH2, UiO66-NH2-β-LG (2.83 × 105 mol·L-1) exhibited higher binding constant than UiO66-β-LG (2.61 × 105 mol·L-1), while UiO66 with higher hydrophobicity adsorbed more β-LG. The defects of UiO influenced the binding sites on the β-LG, and the higher the defect degree, the higher the binding energy. For the stability of the system, the H-bonding between UiO66 and SER30/PRO38, and the hydrophobic interaction between UiO66-NH2 and LYS101 played important roles. Furthermore, the secondary structure content of β-LG changed after interacting with both UiO, resulting in reduced density of β-LG.

Construction of an electrochemical sensor based on magnetic molecularly imprinted polymer-zeolite imidazole framework-8 for detection of 3,4-benzopyrene

A novel molecular-imprinted electrochemical sensor for 3,4-benzopyrene (3, 4-BaP) in food samples, with high sensitivity and selective detection, is introduced. Firstly, graphene oxide was modified onto a glassy carbon electrode (GCE) by electroreduction deposition to form an RGO/GCE sensing platform, thereby enhancing the sensitivity and stability of the sensor. Then, magnetic molecularly imprinted polymer-zeolite imidazole framework-8 (MMIP-ZIF-8) was synthesized in one step using the crystal growth method and modified onto RGO/GCE, endowing the sensor with good adsorption capacity and selectivity. The performance of the sensor for 3, 4-BaP was studied using differential pulse voltammetry (DPV), and the detection conditions of the constructed sensor were optimized. The results showed that under the optimal conditions, the constructed sensor exhibited a wide linear range (0.5 ~ 1000 nmol L-1), a low limit of detection (0.16 nmol L-1), and good selectivity and stability for the detection of 3, 4-BaP. It also showed a good recovery (99.74 ~ 102.58%) for the detection of 3, 4-BaP in actual corn meal samples. The MMIP-ZIF-8/RGO/GCE sensor developed has potential application prospects in the precise detection of 3, 4-BaP in food.

Advanced chemically modified electrodes and platforms in food analysis and monitoring

Electrochemical sensors and electroanalytical techniques become emerging as effective and low-cost tools for rapid assessment of special parameters of the food quality. Chemically modified electrodes are developed to change properties and behaviour, particularly sensitivity and selectivity, of conventional electroanalytical sensors. Within this comprehensive review, novel trends in chemical modifiers material structure, electrodes construction and flow analysis platforms are described and evaluated. Numerous recent application examples for the detection of food specific analytes are presented in a form of table to stimulate further development in both, the basic research and commercial field.

A type of self-assembled and label-free DNA-modified electrochemical biosensors based on magnetic α-Fe2O3/Fe3O4 heterogeneous nanorods for ultra-sensitive detection of CYP2C19*3

CYP2C19*3 enzyme plays a pivotal role in drug metabolism and is tightly regulated by the CYP2C19*3 gene. Therefore, quantification of CYP2C19*3 gene holds paramount importance for achieving personalized medication guidance in precision medicine. In this project, the magnetic electrochemical biosensors were constructed for the ultra-sensitive detection of CYP2C19*3 gene. Employing magnetic α-Fe2O3/Fe3O4@Au as the matrixes for signal amplification, CYP2C19*3 complementary chains (c-ssDNA) were bound to their surfaces through gold-sulfur bonds with subsequent specific sites blockade by bovine serum albumin (BSA) to form the α-Fe2O3/Fe3O4@Au/c-ssDNA/BSA biosensors. This design enabled efficient biosensors separation, target gene capture, and self-assembly on the electrode surface, enhancing the response signal. The biosensors exhibited excellent capture capabilities with a wide linear range (1 pM-1 μM), a low detection limit of 0.2710 pM, a quantitation limit of 0.9033 pM, reproducibility with an RSD value of 1.26 %, and stable storage for at least one week. The RSD value of CYP2C19*3 in serum samples consistently remained below 4.5 %, with a recovery rate ranging 95.52 % from 102.71 %. Moreover, the target gene could be accurately identified and captured in a mixed system of multiple nucleotide mutants of the CYP2C19*3 gene, suggesting a promising applicability and popularization.

Development of ternary hybrid composites of transition metal and noble metal-based heterostructures: Ultrasensitive simultaneous electrochemical detection of bisphenol A and bisphenol S in food samples

Bisphenols threaten human health and sensitive detection is crucial. The present study aims to develop ternary composites of copper metal-organic framework (Cu-MOF) with AuAg microstructures. The composite structure was formed by a galvanic displacement reaction and confirmed using SEM. A binder-free catalyst was used to study the electrochemical redox reaction of bisphenol A (BPA) and bisphenol S (BPS); an irreversible cyclic voltammetric signal at +0.70 V and + 0.91 V (vs. Ag/AgCl), in the dynamic range of 20 nM to 2.0 mM, and 10 nM to 1.0 mM, with limits of detection of 2.9 nM, and 3.2 nM (S/N = 3) was obtained. Practical analysis was applied to frozen tomatoes, tuna fish, milk powder, PET bottles, raw milk, and urine samples with a recovery rate of 94.00-100.80% (n = 3). Voltammetric results were validated using HPLC detection with high precision. The sensor is a promising alternative platform for measuring BPA in food samples.

β-cyclodextrin/spiropyran-functionalized optical-driven hydrogel film for bisphenol A detection in food packaging

Bisphenol A (BPA), an endocrine disruptor, is widely used in food packaging materials, including drink containers. Sensitive detection of BPA is crucial to food safety. Herein, we have developed a novel optical-driven hydrogel film sensor for sensitive BPA detection based on the displacement of spiropyran (SP) from β-cyclodextrin (β-CD) cavity by BPA followed by the photochromism of the released SP. The released SP converts to the ring-opened merocyanine form which shows an enhanced red fluorescence in the dark. The sensor demonstrates a linear detection range from 0.1 to 20 μg mL-1 with a limit of detection at 0.027 μg mL-1 and a limit of quantification at 0.089 μg mL-1. Notably, the proposed β-CD/SP hydrogel can be reused due to the reversible isomerization of SP and the reversible host-guest interaction. This sensor also shows good performance for BPA determination in real samples, indicating its great potential for food safety monitoring.

Stimuli-Responsive Molecularly Imprinted Polymers: Mechanism and Applications

Molecularly imprinted polymers (MIPs) are very suitable for extraction, drug delivery systems, and sensors due to their good selective adsorption ability, but the difficulty of eluting templates during synthesis and the limitation of application scenarios put higher demands on MIPs. Stimuli-responsive MIPs (SR-MIPs) can actively respond to changes in external conditions to realize various functions, which provides new ideas for the further development of MIPs. This paper reviews the multiple response modes of MIPs, including the common temperature, pH, photo, magnetic, redox-responsive and rare gas, biomolecule, ion, and solvent-responsive MIPs, and explains the mechanism, composition, and applications of such SR-MIPs. These SR-MIPs and the resulting dual/multiple-responsive MIPs have good selectivity, and controllability, and are very promising for isolation and extraction, targeted drug delivery, and electro-sensor.

Curcumin-Based Molecularly Imprinted Polymer Electropolymerized on Single-Use Graphite Electrode for Dipyridamole Analysis

A new molecularly imprinted polymer (MIP)-based disposable electrochemical sensor for dipyridamole (DIP) determination was obtained. The sensor was rapidly prepared by potentiodynamic electrochemical polymerization on a pencil graphite electrode (PGE) using curcumin (CUR) as a functional monomer and DIP as a template molecule. After the optimization of the conditions (pH, monomer-template ratio, scan rate, number of cyclic voltammetric cycles applied in the electro-polymerization process and extraction time of the template molecule) for MIP formation, DIP voltammetric behavior at the modified electrode (MIP_PGE) was investigated. DIP oxidation took place in a pH-dependent, irreversible mixed diffusion-adsorption controlled process. Differential pulse voltammetry (DPV) and adsorptive stripping differential pulse voltammetry (AdSDPV) were used to quantify DIP from pharmaceutical and tap water samples. Under optimized conditions (Britton-Robinson buffer at pH = 3.29), the obtained linear ranges were 5.00 × 10-8-1.00 × 10-5 mol/L and 5.00 × 10-9-1.00 × 10-7 mol/L DIP for DPV and AdSDPV, respectively. The limits of detection of the methods were 1.47 × 10-8 mol/L for DPV and 3.96 × 10-9 mol/L DIP for AdSDPV.

Construction of a self-reporting molecularly-imprinted electrochemical sensor based on CuHCF modified by rGNR-rGO for the detection of zearalenone

A self-reporting molecularly-imprinted electrochemical sensor is prepared for the detection of Zearalenone (ZEA). Firstly, the reduced graphene nanoribbons and reduced graphene oxide (rGNR-rGO) were simultaneously modified onto a glassy carbon electrode (GCE) to improve the sensor's sensitivity. After electrodepositing copper nanoparticles onto the rGNR-rGO/GCE, cyclic voltammetry scanning was performed in potassium ferrocyanide solution, and copper hexacyanoferrate (CuHCF) was deposited onto rGNR-rGO/GCE to further improve the sensor's sensitivity while giving it self-reporting capability. Then, molecularly-imprinted polymer films were prepared on the CuHCF/rGNR-rGO/GCE to ensure the selectivity of the sensor. It is found that the linear range of ZEA detection by the constructed sensor is 0.25-500 ng·mL -1, with a detection limit of 0.09 ng·mL -1. This sensor shows the merits of good selectivity, high sensitivity and accurate detection, providing a great possibility for the precise detection of low concentration ZEA in food.

High-confidence structural annotation of substances via multi-layer molecular network reveals the system-wide constituent alternations in milk interfered with diphenylolpropane

The spectral database-based mass spectrometry (MS) matching strategy is versatile for structural annotating in ingredient fluctuation profiling mediated by external interferences. However, the systematic variability of MS pool attributable to aliasing peaks and inadequacy of present spectral database resulted in a substantial metabolic feature depletion. An amended procedure termed multiple-charges overlap peaks extraction algorithm (MCOP) was proposed involving identifying collision-trigged dissociation precursor ions through iteratively matching mass features of fragmentations to expand the spectral reference library. We showcased the versatility and utility of established strategy in an investigation centered on the stimulation of milk mediated by diphenylolpropane (BPA). MCOP enabled efficient unknown annotations at metabolite-lipid-protein level, which elevated the accuracy of substance annotation to 85.3% after manual validation. Arginase and α-amylase (|r| > 0.75, p < 0.05) were first identified as the crucial issues via graph neural network-based virtual screening in the abnormal metabolism of urea triggered by BPA, resulting in the accumulation of arginine (original: 1.7 μg kg-1 1.7 times) and maltodextrin (original: 6.9 μg kg-1 2.9 times) and thus, exciting the potential dietary risks. Conclusively, MCOP demonstrated generalisation and scalability and substantially advanced the discovery of unknown metabolites for complex matrix samples, thus deciphering dark matter in multi-omics.

Magnetic self-assembled label-free electrochemical biosensor based on Fe3O4/α-Fe2O3 heterogeneous nanosheets for the detection of Tau proteins

A type of electrochemical biosensors based on magnetic Fe3O4/α-Fe2O3 heterogeneous nanosheets was constructed to detect Tau proteins for early diagnosis and intervention therapy of Alzheimer's disease (AD). Firstly, Fe3O4/α-Fe2O3 heterogeneous nanosheets were fabricated as the substrate to realize magnetic self-assembly and magnetic separation to improve current response, and Fe3O4/α-Fe2O3@Au-Apt/ssDNA/MCH biosensors were successfully constructed through the reduction process of chloroauric acid, the immobilizations of aptamer (Apt) and ssDNA, and the intercept process of 6-Mercapto-1-hexanol (MCH); the construction process of the electrochemical biosensor was monitored using Cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS), and the factors affecting the current response of this sensor (concentration of Fe3O4/α-Fe2O3@Au and Apt/ssDNA, incubation temperature and time of Tau) were explored and optimized using differential pulse voltammetry (DPV). Analyzing the performance of this sensor under optimal conditions, the linear range was finally obtained to be 0.1 pg/mL-10 ng/mL, the limit of detection (LOD) was 0.08 pg/mL, and the limit of quantification (LOQ) was 0.28 pg/mL. The selectivity, reproducibility and stability of the biosensors were further investigated, and in a really sample analysis using human serum, the recoveries were obtained in the range of 93.93 %-107.39 %, with RSD ranging from 1.05 % to 1.94 %.