Almond shell as a microporous carbon source for sustainable cathodes in lithium–sulfur batteries.
A microporous carbon derived from biomass (almond shells) and activated with phosphoric acid was analysed as a cathodic matrix in Li–S batteries. By studying the parameters of the carbonization process of this biomass residue, certain conditions were determined to obtain a high surface area of carbon (967 m2 g−1) and high porosity (0.49 cm3 g−1). This carbon was capable of accommodating up to 60% by weight of sulfur, infiltrated by the disulphide method. The C–S composite released an initial specific capacity of 915 mAh g−1 in the Li–S cell at a current density of 100 mA g−1 with a high retention capacity of 760 mAh g−1 after 100 cycles and a coulombic efficiency close to 100%. The good performance of the composite was also observed under higher current rates (up to 1000 mA g−1). The overall electrochemical behaviour of this microporous carbon acting as a sulfur host reinforces the possibility of using biomass residues as sustainable sources of materials for energy storage.
Quality of raisins under different packaging and storage conditions.
We determined the effect of different storage systems and packaging on the quality of ‘Sultana Seedless’ raisins. The fruit were packed in plastic boxes and kept under controlled atmosphere (1% O2 and 3% CO2) at 0°C and 75–85% RH for 12 months (CA), packed in vacuum bags and kept under normal atmosphere (21% O2–0.03% CO2) (NA) and packed in thin plastic bags + carton boxes and kept under ambient condition (semi-refrigeration), at 0°C and 90% ± 5 RH for 12 months (AC). Fruit kept under CA or NA had acceptable fruit quality in terms of general appearance and taste for 10 months, whereas fruit quality was unacceptable at that time under AC. Fruit under NA had less weight loss than fruit under the other conditions. Differences in skin colour were relatively small, apart from the h° values. Concentrations of ochratoxin A were generally higher with AC. External appearance and taste were better with CA and NA. As a result, raisins can be stored for 10 months with good quality in vacuum package in NA (0°C and 90% ± 5 RH) and CA (1% O2–3% CO2) at 0°C and 75–85% RH.
Determination of Sulfur in Grape and Apricot Samples Using High-resolution Continuum Source Electrothermal Molecular Absorption Spectrometry.
The determination of sulfur in apricot and grape samples was performed by using high-resolution continuum source electrothermal molecular absorption spectrometry based on vaporization of the carbon monosulfide (CS) molecule. CS forms in the gas phase without the addition of any molecule-forming element, since graphite cuvette contains plenty of carbon as well as food samples. A mixture of 15 μg Pd + 10 μg Mg was used in solution as the chemical modifier. The best sensitivity was obtained at 900°C of the pyrolysis temperature with a K2SO4calibration solution. The calibration plot drew a linear path between 50 and 1600 ng of sulfur, and the limit of detection was found to be 23 ng. The accuracy of the method was confirmed with the use of a standard reference material (Rice Flour, NIST SRM 1568a). The sulfur content in chemically dried apricot samples (1987 ± 45 mg/kg) was determined to be higher than that of apricot samples dried under sunshine.
Nut sensitization profile in Southern Taiwan.
BACKGROUND/PURPOSE: To evaluate the relationship between serum-specific immunoglobulin E (IgE) to peanuts/tree nuts and their clinical manifestations in atopic diseases. METHOD: Serum from people with the classical symptoms of asthma, allergic rhinitis (AR), or atopic dermatitis (AD) was collected for the measurement of serum-specific IgE to peanuts, cashew nuts, Brazil nuts, almonds, and coconuts. Cases with possible sensitization to these nuts (serum specific IgE ≧ 0.35 kU/L) were selected and their clinical relationships with physician-diagnosed asthma, allergic rhinitis, or atopic dermatitis were analyzed. RESULT: Compared with non-sensitization group, people with peanut/tree nut sensitization have higher prevalence of atopic dermatitis, but no such difference noted in the prevalence of allergic rhinitis. In the situation of asthma, people with sensitization to peanuts and Brazil nuts, but not other nuts, have higher prevalence of asthma than people without sensitization to any nut (p < 0.001 and p < 0.05, respectively). Binary logistic regression analysis also showed positive associations between peanut (OR: 1.164, p value = 0.017) and Brazil nut (OR: 1.304, p value = 0.055) sensitization and asthma. The associations between peanut and Brazil nut sensitization and asthma were independent of the prevalence of other atopic diseases. CONCLUSION: People in Asia may have less severe allergic effects as in Western countries, but sensitization to specific food allergens such as peanuts or Brazil nuts may predispose individuals to asthma, which could be helpful in diagnosis and deserves more attention than previously considered.
Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes.
Lateral Flow Immunoassays (LFIAs) allow for rapid, low-cost, screening of many biomolecules such as food allergens. Despite being classified as rapid tests, many LFIAs take 10⁻20 min to complete. For a really high-speed LFIA, it is necessary to assess antibody association kinetics. By using a label-free optical technique such as Surface Plasmon Resonance (SPR), it is possible to screen crude monoclonal antibody (mAb) preparations for their association rates against a target. Herein, we describe an SPR-based method for screening and selecting crude anti-hazelnut antibodies based on their relative association rates, cross reactivity and sandwich pairing capabilities, for subsequent application in a rapid ligand binding assay. Thanks to the SPR selection process, only the fast mAb (F-50-6B12) and the slow (S-50-5H9) mAb needed purification for labelling with carbon nanoparticles to exploit high-speed LFIA prototypes. The kinetics observed in SPR were reflected in LFIA, with the test line appearing within 30 s, almost two times faster when F-50-6B12 was used, compared with S-50-5H9. Additionally, the LFIAs have demonstrated their future applicability to real life samples by detecting hazelnut in the sub-ppm range in a cookie matrix. Finally, these LFIAs not only provide a qualitative result when read visually, but also generate semi-quantitative data when exploiting freely downloadable smartphone apps.