Sensitive detection of choline and nicotine in real samples by switching upconversion luminescence.

Nicotine (3-(1-methyl-2-pyrrolidinyl)pyridine) is one of the most common addictive substances, causing the trace detection of nicotine to be very necessary. Herein, we designed and prepared a functionalized nanocomposite CS-PAA (NaYF4:19.5%Yb,0.5%Tm@NaYF4-PAA) using a simple method. The nicotine concentration was quantitatively detected through the inhibition of choline oxidase activity by nicotine and the luminescence intensity of CS-PAA being quenched by Fe3+. The mechanism of Fe3+ quenching CS-PAA emission was inferred by luminescence lifetime and UV-vis absorption spectra characterization. During the nicotine detection, both excitation (980 nm) and emission (802 nm) wavelengths of CS-PAA enable the avoidance of the interference of background fluorescence in complicated food objects, thus providing high selectivity and sensitivity with a linear range of 5-750 ng/mL and a limit of detection of 9.3 nM. The method exhibits an excellent recovery and relative standard deviation, indicating high accuracy and repeatability of the detection of nicotine.

Spatial evolution of the proton-coupled Mott transition in correlated oxides for neuromorphic computing.

The proton-electron coupling effect induces rich spectrums of electronic states in correlated oxides, opening tempting opportunities for exploring novel devices with multifunctions. Here, via modest Pt-aided hydrogen spillover at room temperature, amounts of protons are introduced into SmNiO3-based devices. In situ structural characterizations together with first-principles calculation reveal that the local Mott transition is reversibly driven by migration and redistribution of the predoped protons. The accompanying giant resistance change results in excellent memristive behaviors under ultralow electric fields. Hierarchical tree-like memory states, an instinct displayed in bio-synapses, are further realized in the devices by spatially varying the proton concentration with electric pulses, showing great promise in artificial neural networks for solving intricate problems. Our research demonstrates the direct and effective control of proton evolution using extremely low electric field, offering an alternative pathway for modifying the functionalities of correlated oxides and constructing low-power consumption intelligent devices and neural network circuits.

Trenched microwave resonator integrated with porous PDMS for detection and classification of VOCs with enhanced performance.

Microwave resonators combined with polymer absorption layers are widely used in volatile organic compound (VOC) detection based on their variable resonant frequencies. However, the response time is limited due to the polymer's slow volumetric absorption of VOC molecules. By constructing a porous structure in Polydimethylsiloxane (PDMS), resulting in reduced the response time to as short as 71.1%. To mitigate the sensitivity decline caused by the porous PDMS, a trenched-substrate complementary split-ring resonator (CSRR) is proposed for enhancing the interaction between the electromagnetic fields (EMFs) and the porous PDMS with VOCs. The removal of the substrate beneath CSRR's sensing region enhances the effective EMF, increasing frequency and amplitude sensitivities up to 175.5% and 137.8%, respectively. Responses to four common VOCs by the sensor show a maximum sensitivity of 217 Hz/ppm and a minimum limit of detection of 295 ppm. Additionally, resonant parameters and extracted lumped parameters are utilized to establish two decision-tree-based VOC classification models, achieving high accuracies of 98.71% and 99.59%, respectively. And the latter one fully utilizing responses throughout the swept band, proves superior in identifying similar substances. This sensor technology helps promote the sensitive detection and accurate classification of diverse VOCs.

Dietary protein sources, genetics, and cardiovascular disease incidence.

BACKGROUND: To explore the potential correlation between the amount and source of dietary protein and cardiovascular disease (CVD), as well as the potential impact of genetic susceptibility on these connections. METHODS: We performed a prospective analysis of 98,224 participants from the UK. We measured dietary protein intake using two 24-hour dietary recall interviews. To analyze the data, we used multivariable-adjusted Cox regression models and restricted cubic spline models. Additionally, we calculated weighted genetic risk scores. RESULTS: A total of 8818 new cases of CVD were documented, which included 4076 cases of coronary artery disease (CAD) and 1126 cases of stroke. The study found a J-shaped association (p nonlinearity = 0.005) between CVD risk and the percentage of energy obtained from consuming plant protein. Higher intake of plant protein and whole protein was associated with a decreased risk of CVD. On the other hand, larger intakes of animal protein was linked to a higher occurrence of CAD. Additionally, increased intake of plant protein was also linked to a lower incidence of stroke. Replacing 5 % of animal protein-based energy intake with plant protein-based energy intake resulted in a 5 % decrease in CVD risk. LIMITATIONS: There remains an effect of residual confounders. CONCLUSION: The consumption of larger amounts of plant protein, whole protein, and nut protein was found to be associated with a lower risk of CVD events. Conversely, higher intakes of animal protein was associated with an increased risk of CAD events. Furthermore, replacing 5 % of energy intake from animal protein with energy intake from plant protein was found to reduce the risk of CVD by 5 %.

Hydrophobic MOF/PDMS-Based QCM Sensors for VOCs Identification and Quantitative Detection in High-Humidity Environments.

Metal-organic frameworks (MOFs) have great potential in quartz crystal microbalance (QCM) platforms for volatile organic compound (VOCs) detection and recognition due to their unique properties. However, the MOFs' hydrophilicity degrades performance in high-humidity environments, limiting reliable VOC sensing in complex environments. Herein, we propose a novel VOC virtual sensor array (VSA) using a single QCM sensor with an adsorption layer composed of MIL-101(Cr) MOF and polydimethylsiloxane (PDMS), realizing stable sensing and accurate identification for different VOCs under various relative humidity (RH) conditions. The hydrophobic PDMS layer improves the moisture resistance of the sensor to 4 and 14 times in terms of shifts in resonant frequency and scattering parameters, respectively. In addition, performance is maintained over 2 days of water treatment, demonstrating superior water resistance. The highest sensitivity of 2.68 mdB ppm-1 is achieved for isopropanol detection, with the lowest limit of detection of 20.06 ppm for acetone. Combining resonant signals and lumped parameters, the proposed VSA technique effectively discriminates four VOCs (ethanol, 2-propanol, acetone, and acetonitrile) with a high accuracy of 95.3% under both 60% and 90% RH backgrounds. The studies provide a promising solution for reliable low-concentration VOC detection using QCM sensors in high-humidity environments such as underground spaces.

Bifunctional super-hydrophilic mesoporous nanocomposite: a novel nanoprobe for investigation of glycosylation and phosphorylation in Alzheimer's disease.

Alzheimer's disease (AD) is a common neurodegenerative disease. Abnormal glycosylation and phosphorylation modification in AD may be closely related to its pathology. It is of substantial practical significance to simultaneously investigate the roles of phosphorylation and glycosylation in AD. In this work, a bifunctional super-hydrophilic mesoporous nanocomposite (denoted mTiO2@AuCG) was prepared, which combined hydrophilic interaction chromatography (HILIC) and metal oxide affinity chromatography (MOAC) enrichment strategies to enrich phosphopeptides and glycopeptides, respectively or simultaneously. The mTiO2@AuCG exhibited excellent performance on the high-efficiency enrichment of glycopeptides (selectivity, 5000:1 molar ratios of BSA/HRP; sensitivity, 0.1 fmol HRP; satisfactory recovery rate; loading capacity, 200 mg/g) and phosphopeptides (selectivity, 1000:1 molar ratios of BSA/ß-casein; sensitivity, 0.2 fmol ß-casein; satisfactory recovery rate; loading capacity, 200 mg/g). Using these advantages, after single-step enrichment of mTiO2@AuCG, a total of 209 glycopeptides related to 93 glycoproteins, and 17 phosphopeptides related to 13 phosphoproteins were detected from normal human serum. By contrast, 167 glycopeptides related to 88 glycoproteins, and 14 phosphopeptides related to 12 phosphoproteins were found in AD serum.

One-step preparation of magnetic zwitterionic-hydrophilic dual functional nanospheres for in-depth glycopeptides analysis in Alzheimer's disease patients' serum.

A novel ultra-hydrophilic zwitterionic-HILIC (ZIC-HILIC) nanosphere (Fe3O4-CG) was synthesized via a one-step hydrothermal strategy, which significantly simplified the conventional multi-step procedures for the preparation of ZIC-HILIC materials. The dual-functional Fe3O4-CG nanosphere exhibited excellent selectivity (molar ratio BSA:HRP = 5000:1), low detection limit (0.05 fmol/µL), satisfactory reusability (at least 5 times) and recovery rate (93.7 ± 2.1%). The binding constant of Fe3O4-CG for HRP is 2.45 ± 0.32 × 10-6 M and the theoretical binding capacity is 330 mg g-1. In addition, the Fe3O4-CG microsphere showed excellent performance in the detection of glycopeptides from real biological samples. Furthermore, 131 glycopeptides related to 71 glycoproteins were selectively enriched from healthy human serum and 180 glycopeptides related to 82 glycoproteins were captured from Alzheimer's disease patients' serum analyzed by Nano-LC-MS/MS. Gene ontology analysis of the biological process and molecular function showed that 21 primitive glycoproteins in glycopeptides captured from Alzheimer's disease patients' serum were meaningfully involved in a variety of neurodegenerative disease-related events, including serine-type endopeptidase inhibitor activity, receptor binding, positive regulation of B cell activation, and platelet activation.

Bi-amino acid functionalized biomimetic honeycomb chitosan membrane as a multifunctional hydrophilic probe for specific capture of N-linked glycopeptides in nasopharyngeal carcinoma's disease patient's serum.

In this work, a novel porous bifunctionalized composite material was synthesized via a simple method. Gold nanoparticles are uniformly dispersed on the surface of the biomimetic honeycomb chitosan membrane through the interaction between amino and Au, and then cysteine and glutathione are successfully grafted onto the surface of the Au by the Au-S bond. The modification of cysteine and glutathione makes this bifunctionalized composite material have significant advantages of superhydrophilicity and small steric hindrance simultaneously. This material manifests excellent property in glycopeptides enrichment, with high selectivity (1:5000), low detection limit (0.1 fmol·µL-1 ), high recovery rate (99.4 ± 0.5%), and good repeatability. In addition, with the help of nano-flow liquid chromatography tandem mass spectrometry, this composite achieved excellent performance in efficiently enriching glycopeptides in the serum of healthy people and nasopharyngeal carcinoma's disease patient. More excitingly, further gene ontology analysis of molecular function and biological process indicated that 41 original glycoproteins of the identified glycopeptides from serum of nasopharyngeal carcinoma's disease patient significantly partake in numerous cancer-associated events, including protease binding, calcium ion binding, enzyme binding, extracellular matrix organization, cellular response to tumor necrosis factor, and inflammatory response.