plantarum enriched its nutritional properties and antioxidant activity.Maturity is one of the most important factors associated with the quality of olive products, however the molecular events underlying olive drupe development remain poorly characterized. Using proteomic and metabolomic approaches, this study investigated the changes in the olive drupes (cv. Chondrolia Chalkidikis) across six developmental stages (S1-S6) that characterize the dynamics of fruit growth and color. Primary metabolites, including carbohydrates and organic acids (i.e., xylose, malic acid), showed significant accumulation in the black maturation stage. Temporal changes in various secondary metabolites (e.g., oleuropein, oleacin and tyrosol) were also observed. Proteins involved in oxidation-reduction (i.e., LOX1/5), carbohydrate metabolism (i.e., GLUA, PG) and photosynthesis (i.e., chlorophyll a-b binding proteins) significantly altered in the turning black compared to the green mature stage. By providing the first proteometabolomic study of olive drupe development, this investigation offers a novel framework for further studies on this economically relevant crop.This study focused on constructing a high-solid reaction system to prepare type 3 resistant starch (RS3) with high-amylose maize starch as raw material by mechanical activation (MA) pretreatment combined with thermal and freeze-thaw treatments.  https://www.selleckchem.com/products/icfsp1.html  MA pretreatment effectively destroyed the crystal structure and molecular structure of native starch. MA damaged starch with a certain viscosity could form dough with a small amount of water to construct a starch continuous phase system. RS content increased with the damage levels of starch as the formation of double helix structure, attributed to that the molecules of MA damaged starch could be easy to move and form recrystallization structure. Thermal and freeze-thaw treatments contributed to strong interaction of starch-water and the re-formation of internal crystal structure of MA damaged starch to form RS3. This study provides insight into the development of a highly effective approach for large scale production of resistant starch.Starch nanoparticles (SNPs) and Chitin nanofibers (ChFs) have been recognized to be effective for emulsion stabilization. Hence, the use of multiple solid nanoparticles seems to be a promising approach to improve emulsion stability. This work aims to studyemulsions stabilized by a combination of SNPs and ChFs at different concentrations over storage time and different environmental conditions. Sonicated emulsions were found to have a significantly higher stability compared to non-sonicated emulsions. Furthermore, SNP/ChF-stabilized emulsions showed smaller droplet sizes and higher stability within a wide range of temperatures and pH, suggesting a synergistic effect between both particles as stabilizers. The addition of NaCl showed limited impact, particularly in concentrations up to 200 mM, on the improvement of the stability of emulsions. The combined use of SNPs and ChFs allowed emulsion stabilization at lower solid nanoparticles concentrations than when only either SNPs or ChFs were used.Gelatin and gelatin-based derivatives have been attracting worldwide attention as health-food ingredients. Deer horn gelatin (DCG), a well-known and expensive gelatin food in Asia, has suffered adulterants by adding deer-hide gelatin (DHG) in it. However, robust and effective methods which could differentiate DCG from DHG are still unavailable. This study is committed to discover peptide biomarkers to distinguish DCG from DHG using label-free peptidomics by nanoLC-MS/MS. Multivariate statistical analysis combined with glycosylation sites analysis of peptides was applied to visualize the difference between DCG and DHG. As a result, four peptide biomarkers for distinguishing DCG and DHG were confirmed and validated by UPLC-MS/MS and MRM mode, which was also used to calculate adulteration percentage in commercial samples. The presented strategy may be also particularly helpful in the in-depth authentication of food gelatins from different tissues of the same species.The objective of this research was to investigate the effect of individual additions of mono- and divalent electrolytes (NaCl and CaCl2), anionic (sodium dodecyl sulfate, SDS) and non-ionic surfactants (polysorbate 80, Tween 80) at varied concentrations on the generation and stability of bulk nanobubbles (NBs) from carbon dioxide (CO2) gas in aqueous system. Overall, NBs generated in the small-amount salt fluids exhibited significantly (p ≤ 0.05) lower size range (150-350 nm). Smaller diameter and higher zeta potential magnitudes (18-24 mV) of the NBs in SDS medium were also observed and related to the higher CO2 concentration (~1850 ppm) and lower surface tension (~64 mN/m) of the solution. However, the gas NBs were disappeared with the incorporation of Tween 80. The outcomes provide some more research-based details about the impact of potential nano-bubble stabilising agents on characteristics of NBs contributing to the green and sustainable NB-related applications in food sectors.In order to solve inherent problems of traditional molecularly imprinted electrochemical sensors (MIECS), a novel platform of surface molecularly imprinted magnetic metal-organic frameworks (mMOFs@MIPs) was coupled with magneto electrode to establish magnetic MIECS for the recognition of oxytetracycline (OTC). mMOFs@MIPs were synthesized using layer-by-layer modification method for the recognition of OTC. With the help of magneto electrodes, mMOFs@MIPs can be magnetically modified on the electrode surface, forming the electrochemical sensing interface. The imprinted cavities of mMOFs@MIPs can act as the electron channel of the probe to realize label-free detection of OTC. A linear response was obtained within the OTC concentration range of 1.0 × 10-9 g mL-1-1.0 × 10-4 g mL-1. The applicability of the sensor was estimated using the spiking and recovery method in milk samples with the recoveries ranging from 89.0% to 103.1%. It has potential applications in food safety analysis with high throughput detection capability, high specificity and good stability.