Aggregation-Induced Electrochemiluminescence Sensor Based on 3D Graphene Aerogel-Driven Functional Iridium Nanoflowers Luminophores for Selective Detection of Thiamphenicol.

Purpose: Analyze the results of measuring the content of hazardous substances in food with the high performance liquid chromatography (HPLC)-mass spectrometry (MS) combination method. Method: (1) Establish the HPLC-MS to achieve the one-step extraction of the ethoxyquin antioxidant residue in honey peach and apple by extracting the analyte residue in alkaline sample solution with the help of N-hexane; then analyze it with the C18 chromatographic column and add a certain amount of ammonium acetate into the mobile phase to optimize the peak shape of chromatogram. (2) Establish the HPLC-MS to detect urotropin in food. Results: (1) It is found that the lower limit of detection with the HPLC-MS combination method is 5μg/kg, and the linearity range is between 20-200μg/L; all the recovery rates of different adding levels are between 8.65%-91.9%, and the RSD (relative standard deviation) is between 4.6%-5.4%. (2) For the HPLC-MS combination method, the 0.01mol/L ammonium acetate-acetonitrile is the mobile phase, which provides high accuracy and sensitivity, fits the treatment of a lot of samples, and is used for detecting urotropin to protect the health of consumers. Conclusion: The HPLC-MS combination method is highly feasible in measuring the content of hazardous substances in food.

Preparation and performance comparison of supercapacitors based on nanocomposites of MnO2 with cationic surfactant of CTAC or CTAB by direct electrodeposition

The self-assembly of twinned boehmite nanosheets into porous 3D structures in ethanol–water mixtures

As technology advances public awareness of food safety is increasing. Food safety is a crucial issue that requires special attention, especially regarding the use of hazardous substances in food. The misuse of these hazardous substances has led to many people suffering from food poisoning, which can cause serious health problems such as shortness of breath, diarrhea, allergies, kidney irritation, and even cancer. Despite many efforts to address this issue, the results have not been satisfactory. Therefore, the aim of this research is to use the Internet of Things (IoT) to design and build a device that can identify hazardous substances in food. This device detects potentially harmful substances using a TCS3200 sensor, which works by detecting the RGB (Red, Green, Blue) frequency values of food samples suspected of containing hazardous substances. The detection data is then sent to a server and the MIT App Inventor application via the internet, allowing real-time monitoring through Android devices. Testing results show that this detection device achieves an accuracy rate of 97.91% with an error margin of 2.09% and can display data in real-time on the Android application. The correlation between RGB values and the concentration of hazardous substances indicates that the higher the content of hazardous substances, the lower the detected RGB values, while higher RGB values indicate a darker color due to the presence of hazardous substances. This device is expected to help the public ensure food safety and raise awareness of the dangers of using hazardous substances. With this device, the public is expected to be more vigilant and protected from potential health risks due to consuming food containing hazardous substances. Additionally, this technology has the potential to be further developed to detect various other types of hazardous contaminants in the future.

Reference materials are indispensable for accurate analysis of hazardous substances in food and the environment. For organic substances, however, the dissemination of reference materials is hopelessly unable to catch up with today's rapidly proliferating analytical needs. To solve this problem, analytical techniques were improved to develop a method in which a single primary reference material could provide accurate quantitative measurements for a wide variety of organic compounds. In pursuit of this goal, we turned our attention to the 1H NMR method. We improved upon the method to allow precise comparisons of signal quantities from protons with different chemical shifts, enabling calibration at an acceptable level of uncertainty for a variety of organic reference materials using a primary reference material for protons. This result opens the prospect of highly efficient metrological traceability, reducing the required number of national reference materials to a minimal level.

3D graphene aerogel framework enwrapped LiFePO4 submicron-rods with improved lithium storage performance

Introduction: Exposure to harmful substances in food is a significant factor contributing to stunting and nutritional problems in children, as it impacts their growth and development. While healthy diets are well-documented, direct links between dietary intake and harmful substance exposure are less explored. This study investigates key risk factors influencing such exposure in children.Objectives: This study aimed to analyses the impact of nutritional status, dietary intake, and exposure to harmful substances in children.Materials And Methods: A cross-sectional study involving 780 children in 30 elementary Schools, collected data on dietary intake, nutritional status, and laboratory testing for harmful substances like borax, formalin, Rhodamine B, and cyclamate using Qualitative Test Kit. Food samples were obtained from school vendors and commonly consumed items. Data were analysed using Chi-Square tests and binary logistic regression to assess the relationships between variables.Results: Among the children, 50% were aged 8–9 years, and 53.8% were female. Most had good nutritional status (69.2%), and 88.2% had sufficient dietary intake. However, 69.1% were exposed to harmful substances in food. Poor nutritional status increased exposure risk by 3.11 times (PR = 3.11; 95% CI: 1.75 - 5.51; p = 0.000), and insufficient dietary intake raised it by 13.26 times (PR = 13.26; 95% CI: 8.37 - 21.02; p = 0.000).Conclusion: A child’s nutrition and food safety are deeply connected. Poor nutrition makes children more susceptible to harmful substances, highlighting the importance of ensuring both a healthy diet and stricter food safety measures. By prioritizing better nutrition and safer food choices, we can help protect children's health and support their growth.

CTAB cationic surfactant assisted synthesis of CoFe2O4 magnetic nanoparticles

Kinetic and mechanistic investigations of [Zn (II)‐Trp]+ and ninhydrin in aqueous and cationic cetyltrimethylammonium bromide (CTAB) surfactant have been executed in CH3COOH‐CH3COONa buffers of pH 5.0. Spectrophotometric as well as conductometric techniques were employed to carry out the study at experimental temperature. The values of rate constant (kobs in aqueous and kψ in CTAB surfactant) and binding parameters (KB for [Zn (II)‐Trp]+ and KN for ninhydrin) have been determined by the means of a computer program referred to as linear least squares technique. Fractional‐ and first‐order kinetics were found in ninhydrin and [Zn (II)‐Trp]+, respectively, in aqueous and cationic CTAB. Study was catalyzed and accelerated by CTAB surfactant. An increase in CTAB surfactant concentration from 0 to 45 mmol kg−1 resulted to an increase in kψ from 2.5 × 10−5 s−1 to 22.7 × 10−5 s−1. Surfactant concentration beyond 45 mmol kg−1 had a slow decreasing effect in kψ. In order to elucidate CTAB effect on kψ, a pseudo‐phase model of micelles was applied.

Stable homogeneous dispersions of carbon nanotubes were prepared by using cetyl trimethyl ammonium bromide(CTAB)as dispersant.Surface chemistry of the carbon nanotube was investigated by measuring isotherm adsorption and Zeta potential.The stabilization mechanism of the carbon nanotubes in aqueous solution of surfactant CTAB was discussed.In the CTAB solutions,the Zeta- potential of carbon nanotube surface progressively increases with increasing the CTAB concentration, in which the Zeta potential of carbon nanotube changes from-29mV to 65mV.The isotherms of CTAB adsorption on carbon nanotubes indicate a two-step mechanism of adsorption,and the isotherms reach the saturation plateau at CTAB concentration of about 9×10~(-4)mol·L~(-1).The optimum concentration of CTAB to obtain a stable homogeneous dispersions of carbon nanotubes is about 9×10~(-4)mol·L~(-1).

Carbon nanomaterial-based molecularly imprinted polymer sensors for detection of hazardous substances in food: Recent progress and future trends

Recent applications of hydrogels in food safety sensing: Role of hydrogels

Trace analysis of food by surface-enhanced Raman spectroscopy combined with molecular imprinting technology: Principle, application, challenges, and prospects.

The influences of surfactant type and concentration on the content and uniformity of SiC particles in Ni-SiC deposit were studied in this paper. The electrochemical behavior of preparing Ni-SiC composite coating was investigated using the cyclic voltammetry method. Then the impact of surfactants on the deposition potential of Ni-SiC coating was analyzed. Electrochemical studies showed that the cathode overvoltage increases gradually with increasing SDS (Sodium dodecyl sulfate) concentration. The CV curve showed the shift towards a lower current at a given potential with increasing SDS concentration. Ni-SiC composite coatings were prepared by electrodeposition. The experimental results show that the dispersion of 40nm SiC in Ni-SiC coating obtained in the electrolyte containing SDS is superior that containing CTAB (cetyltrimethyl ammonium bromide). CTAB increases the content of 40 nm SiC particles in the Ni-SiC coating, but the uniformity of 40 nm SiC particles in Ni-SiC composite coating is poor. SiC particles are still agglomerated. Compared with the anionic surfactant SDS and the cationic surfactant CTAB, surfactant SDS makes the particles better dispersed. But the contribution of surfactant SDS for co-deposition amount of SiC particles is negligible. The cationic surfactant CTAB can effectively improve the suspension performance of SiC particles and promote the co-deposition of SiC particles and metallic nickel. But there is still some reunion of SiC.

Due to the high efficiency of photocatalytic process for the environmental treatments, titanium dioxide (TiO2) is a popular used as photocatalyst material. However, the practical uses of TiO2 in powder form have some drawbacks as well as the difficult reusability. In this work, 3D porous-structured TiO2@natural rubber (TNR) hybrid sheets with high photocatalytic performance were presented. TNR hybrid sheets prepared by a facile and low-cost method, which is based on the mixing of natural rubber (NR) latex (60% high ammonia) and ammoniacal TiO2 (P25) suspension, followed by vacuum filtration through a sintered glass template to make a 3D porous network structure on the surface of the sheets. The obtained TNR sheet samples were characterized by scanning electron microscopy (SEM), energy dispersive X-ray spectrometer (EDX), X-ray diffractometer (XRD) and reflection Fourier transformed infrared spectroscopy (FT-IR) techniques. The results showed that the surface morphologies of TNR hybrid sheets appeared as porous-structured which had high roughness and with various tiny pores on the surface. The photocatalytic properties of the prepared TNR hybrid sheets were tested using indigo carmine (IC) dye under UV light irradiation. It was found that the highest photodegradation efficiency was achieved with the TNR_5 wt% hybrid sheet sample. Compared with the sheets reported in previous works, the TNR sheet shows higher efficiencies than those sheets due to its higher amount of TiO2 particles at the surface, more porous structure with high rough surface, and abundance of tiny pores on the TNR sheet surface. Moreover, the recyclability and stability of TNR sheet indicated that upon using 10 cycles (remains 98% efficiency), in which the stability of the sheet surface well-confirmed by SEM and XRD techniques, as well. From above the study, this 3D porous-structured TNR hybrid sheet could be a new alternative strategy for the water or wastewater treatment in industry concerning with the easy use, recovery, reusability and stability of the photocatalysts.