Wisewarming5288

Thermal processing is a common processing method for tilapia which has an important impact on the quality and characteristics of fish meat. This study aimed to investigate changes in the metabolites of tilapia fillets after thermal processing. In this work, we used a UHPLC-Q-TOF-MS/MS metabolomics method to identify and screen differential metabolites. A total of 249 metabolites were identified from tilapia fillet samples, 24, 29 and 24 differential metabolites were screened from steaming/raw, boiling/raw and air frying/raw groups, respectively. Thermal processing significantly changed the quality of tilapia fillets, and the contribution of amino acids, phospholipids and nucleotides to different metabolites was large and had important impacts on the taste and nutrition of tilapia fillets. Metabolomics is an effective method for quality detection of thermal processing in aquatic products. This study provides the theoretical basis for the selection of optimized processing methods for tilapia.Rutin (RT), a widely distributed natural flavonoid compound, has been generally utilized as an important active ingredient owing to its considerable biomedical and economic value. Inspired by the structure features of densely-packed bayberry and well-orientated honeycomb, a novel type of magnetic molecularly imprinted polymers (HB-TI-MMIPs) with abundant high-affinity and uniformly-distributed binding sites was rationally constructed for the selective enrichment of RT from Sophora japonica. The polymerization conditions, physicochemical properties, and adsorption performance of the imprinted nanomaterials were systematically investigated. The optimized HB-TI-MMIPs display a high adsorption capacity, fast adsorption rate, and satisfactory selectivity towards RT. Meanwhile, the proposed analytical methodology using HPLC, with HB-TI-MMIPs as adsorbents, successfully applied to enrich and detect RT from Sophora japonica with high recoveries (87.2-94.6%) and good RSDs (lower than 4.3%). Therefore, the fabricated HB-TI-MMIPs with a fast magnetic responsivity and desirable adsorption performance would be attractive in plant active ingredients extraction fields.The composition of human milk is subject to considerable variation, but the effects of maternal stress are largely unknown. We studied differences in human milk metabolome between Finnish mothers (n = 120, secretors) with symptoms of prenatal symptoms of psychological distress and milk cortisol concentrations. Human milk samples acquired at 2.5 months postpartum were analyzed using targeted 1H NMR metabolomics. Self-reported scores for depression (EPDS), overall anxiety (SCL-90), and pregnancy-related anxiety (PRAQ) were used to evaluate psychological distress. Prenatal psychological distress was positively associated with concentrations of short-chain fatty acids, caprate, and hypoxanthine (q less then 0.0012). Milk cortisol was positively associated with lactate concentration (q less then 0.05). Changes in the human milk metabolome were shown to be associated with maternal psychological distress and concentration of milk cortisol in a dissimilarly, suggesting alterations in bacterial and energy metabolism of the mother, respectively.The measurement and analysis of fifty-two elements by quadrupole inductively coupled plasma mass spectrometry (Q-ICP-MS) and direct mercury analysis were applied to origin discrimination of Italian traditional cuttlefish (Chioggia, Venice lagoon) from Mediterranean and Atlantic samples. A total 68 specimens were analyzed in triplicates to generate 204 mass spectra profiles which were statistically processed by different chemometric techniques. Loading weights from principal component analysis as input for linear discriminant analysis (LW-LDA), stepwise-LDA (S-LDA) and variable influence of projection-partial least square discriminant analysis (VIP-PLS-DA) were used to classify samples while retaining the lowest possible number of key variables. VIP-PLS-DA was found to be the best variable selection-discriminant tool combo since the selected Na-Co-B-K-Cd-V-U-Rb-Ni-Ba-Cu-As-Sr-Mn-Mo-Li-Ca-Mg-Se-Bi-Cs-P-Y elemental pattern allowed the samples to be classified with 100% sensitivity, specificity and accuracy.This study aimed to determine how the cooking methods change the phenolics and saponins profiles, oligosaccharides, antinutrients and antioxidant properties of flours from colorful beans. The autoclave cooking consisted of 6 h soaking and 5 min cooking (C5); and 20 min cooking without soaking (C20). Both cooking methods significantly promote changes on the chemical compounds studied, and the intensity of these variations were affected by the cultivars. Most of flours of C5 beans presented a lower loss of anthocyanins (3.9-70.0%), DPPH (11.7-87.2%), ABTS (0.0-82.7%), and tannins (0.0-90.0%) compared with C20. The cooked flours of Artico and Realce showed some similarities among chemical compounds, as well as the lowest concentration of tannins (0.0 mg‧g-1), antioxidant activity (0.40 µmol Trolox‧g-1), and higher amounts of oligosaccharides and acetylcholine. Most of cooked flours presented a reduction in phenolics and soyasaponins αg and βg, and an increase in soyasaponins Ba and I and oligosaccharides (mainly C20 flours).We developed a sensitive and rapid lateral flow immunochromatographic (LFI) assay for the simultaneous detection of fipronil and its metabolites in eggs and cucumbers using gold nanoparticle (GNP)-labeled monoclonal antibodies (mAbs). Anti-fipronil mAbs (1B6) were produced using two haptens and identified by heterologous indirect competitive enzyme-linked immunosorbent assay (icELISA) with half maximal inhibitory concentration (IC50) and limit of detection (LOD) values of 0.46 ± 0.07 and 0.05 ± 0.01 ng mL-1, respectively. CMC-Na order The developed LFI strip showed high sensitivity and specificity in the detection of fipronil with cut-off and visual limit of detection (vLOD) values of 10 and 0.25 ng mL-1, respectively. Furthermore, the application of LFI in the detection of fipronil-spiked egg and cucumber samples was validated by liquid chromatography tandem mass spectrometry (LC-MS/MS). Our developed LFI assay is suitable for detection of fipronil and its metabolites in real samples.