A novel LC-MS/MS method for simultaneous quantification of the allergens of soy, milk and egg in surimi products was established based on three signature peptides, namely EAFGVNMQIVR (soy glycinin G2), YLGYLEQLLR (milk α-S1-casein), GGLEPINFQTAADQAR (egg ovalbumin) and a stable isotope-labeled peptide EAFGVNMQI* (I*, 13C6, 15N) VR. After protein extraction and tryptic digestion, four selected marker peptides were measured by HPLC-MS/MS. The determination coefficient R2 was higher than 0.9914 at the range of 0.5-200 ng/mL and both the intra and interday precision RSD were less than 6.7% for three peptides. Limit of quantitation was shown as 0.054 μg/g for soy, 0.024 μg/g for milk and 0.032 μg/g for egg. Current validated method was successfully applied to analyze surimi products, which can not only provide accurate quantification information of allergens for sensitive consumers, but also it may be used for label management for surimi market. The effects of using proline to solubilise fish myosin under low ionic strength conditions were studied. After solubilising myosin in 0.1 M NaCl containing 5, 10, 15, and 20 mM proline, respectively, it was observed that more than 80% of the myosin was effectively solubilised using 10 mM proline. The addition of 10 mM proline lowered the surface hydrophobicity of myosin from 18.25 to 8.22 mg/g, increased the amount of β-sheet structure from 33.87% to 46.88%, both of which facilitated solubilisation. As revealed by transfer free energy measurements, the interactions between proline and tyrosine and tryptophan residues were more favourable. Furthermore, the ability of proline to shield hydrophobic sites of myosin and to partially break disulphide bonds helped to form myosin oligomer aggregates. Transmission electron microscopy images verified the effects of proline on myosin proteins. A solubilisation mechanism based mainly on chemical interactions between myosin and proline was proposed. The high dosage of catalyst requirement and weak anti-interference ability limit current heterogeneous manganese (Mn) catalyst/peroxymonosulfate (PMS) systems to remediate the organic polluted wastewater in complicated environment. Inspired by the concept of atom economy, herein, a homogenous manganese complex bearing a cross-bridged cyclam ligand Mn(cbc)Cl2 (MnL, L = cbc = 4,11-dimethyl-1,4,8,11-tetraazabicyclo[6.6.2]hexadecane)) is capable of activating PMS for reactive brilliant red K-2BP (RBR K-2BP) degradation. The dosage of MnL for PMS activation was low, in a range of 0.38∼3.8 mg/L. The quenching experiments demonstrated that the degradation was a nonradical-controlled process. Using methyl phenyl sulfoxide (PMSO) as a probe, the dominated degradation process of substrate was via an oxygen transfer pathway. Moreover, a high-valent Mn-oxo [(O)MnVLCl2]+ was directly detected using electrospray ionization mass spectrometry (ESI/MS). This system showed excellent anti-interference ability to both anions and humic acid, a typical natural organic matter. The atom economy, represented by an index ((mg pollutant)/h/(g catalyst)), showed that MnL 22737 in PMS activation was much higher than those of Mn-based heterogeneous catalytic systems 67∼960 and was only behind that of iron-tetraamidomacrocyclic ligand Fe-TAML 59139. This work provides insights into designing an atom-economic Mn-based PMS activator for efficient treatments for organic pollutants in a complicated environment. Redox properties play a critical part in enabling biochar to participate in geochemical redox cycles. To manufacture biochar with targeted redox properties, it is essential to define the correlation of redox properties with the structure and moieties of biochar. However, previous studies focused on moieties, while structural parameters were overlooked. Furthermore, most publications used a single-factor analysis for certain types of moieties with other moieties possibly ignored. Herein, four kinds of representative biomass components, cellulose, lignin, casein, and starch, were pyrolyzed at low, intermediate, and high temperatures to obtain biochar with distinct structures and moieties. Then, the partial least-squares modeling was implemented to evaluate the quantitative contributions of structure and moieties to redox properties with the results obtained by characterizing the biochar. In addition to redox-active moieties, specific surface area was also found to be critical to the redox properties. The cellulose-derived chars exhibited better electron-donating capacities, while the lignin-derived chars exhibited better electron-accepting capacities. The starch-derived chars pyrolyzed at 700℃ possessed both high electron-donating and electron-accepting capacities. The casein-derived biochar exhibited weak redox capacities. These findings show the importance of structural influences on the redox properties and provide feedstock choices when applying and producing biochar with targeted redox properties. Stimulation or infection of innate immune cells induces profound epigenetic changes, including the induction of histone modifications and alterations in DNA methylation levels. While some of these changes are rapidly reversible, others appear to be long-lasting, even in mitotic populations, with important functional consequences for the stimulus-experienced cell. Here we discuss the individual contributions of each of the plethora of known epigenetic modifications to the initial transcriptional response to immune activation, their dynamics as cells return to homeostasis, and their contribution to memory of the initial stimulus. PURPOSE To develop and test an Lyman-Kutcher-Burman (LKB) normal tissue complication probability (NTCP) model to predict radiation-induced esophagitis (RE) in non-small cell lung cancer (NSCLC) patients receiving passive-scattering proton therapy (PSPT). MATERIAL AND METHODS We retrospectively reviewed 328 NSCLC patients receiving PSPT at our institution. https://www.selleckchem.com/Bcl-2.html Esophagitis severity was graded by physicians according to the Common Toxicity Criteria for Adverse Events version 3.0, and the primary endpoint was grade ≥2 RE within 6 months from the first treatment. LKB model parameters (n, m, and TD50) were determined using maximum likelihood estimation. Overall performance of the model was quantified by Nagelkerke's R2 and the scaled Brier score. Discriminative ability was evaluated using the area under the receiver operating curve (AUC), and calibration was assessed with the Hosmer-Lemeshow goodness-of-fit test. Bootstrap internal validation was performed to assess the model uncertainty and generalizability. RESULTS Grade 2-3 RE was observed in 136 (41.