104 research outputs found

    Exposure to ozone reduces postharvest quality loss in red and green chilli peppers

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    The effect of continuous exposure to ozone at 0.45, 0.9 and 2 μmol mol−1 on quality changes during the storage of red and green chilli peppers at 10 °C was investigated. Ozone at 0.45 and 0.9 μmol mol−1 reduced disease incidence in red peppers, with no further benefits at 2 μmol mol−1. Ozone at 0.9 μmol mol−1 reduced weight loss during storage and improved firmness maintenance. Skin colour was bleached in red peppers exposed to ozone at 2 μmol mol−1, and in green ones at all tested doses. Total phenolic content was not affected by ozone but antioxidant activity was reduced in green chilli peppers exposed to ozone at 2 μmol mol−1, due to lower ascorbic acid content in those samples. Ozone at 0.9 μmol mol−1 extended the shelf-life of chilli peppers

    Development of a direct transformation method by GFP screening and in vitro whole plant regeneration of Capsicum frutescens L.

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    Background Capsicum is a genus of important spice crop that belongs to the chili lineage. However, many Capsicum species (family Solanaceae) are known to be recalcitrant to genetic transformation and in vitro regeneration, thus hampering the effort in using Capsicum species for detailed biological investigation. In this study, we have developed an optimized protocol for the direct transformation of Capsicum frutescens L. cv. Hot Lava via a biolistic particle delivery system. In addition, in vitro whole plant regeneration from the hypocotyl explants of C. frutescens was established. Results In this biolistic system study, explant target distance, bombardment helium (He) pressure and the size of microcarrier were the key parameters to be investigated. The optimized parameters based on screening of GFP expression were determined to be 6 cm target distance, 1350 psi of helium pressure and 1.6 μm of gold particle (microcarrier) size. The greatest number of shoots were obtained from hypocotyl as explant using Murashige and Skoog medium supplemented with 5.0 mg/L BAP and 0.1 mg/L NAA. An average of 5 shoots per explant were formed. Out of which, one shoot managed to form root and developed into whole plant. Conclusions We have obtained an optimized protocol for the biolistic transformation of chili and in vitro regeneration of chili plantlets. The establishment of the protocols will provide a platform for molecular breeding and biological studies of the chili plants

    Simultaneous Determination of Catecholamines in Presence of Uric Acid and Ascorbic Acid at a Highly Sensitive Electrochemically Activated Carbon Paste Electrode

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    A simple yet remarkable, electrochemically activated carbon paste electrode (EACPE) was prepared by successive potential cycling of carbon paste in a 0.1 M NaOH solution and was effectively used for the simultaneous determination of catecholamines such as dopamine (DA), epinephrine (E) and Norepinephrine (NE) in presence of uric acid (UA) and ascorbic acid (AA). Taking DA as the ideal catecholamine, the electrochemical behaviors of DA, UA and AA such as scan rate and pH variation was studied by cyclic voltammetry (CV) in phosphate buffer solution (PBS, pH 7.1). This electrochemical sensor exhibited strong electrocatalytic activity towards the oxidation of a mixture of catecholamines, UA and AA with apparent reduction of overpotentials. Crider optimum conditions, limit of detection (S/N = 3) of DA, E, NE, UA and AA was found to be 0.08, 0.08, 0.07, 0.1 and 6.0 mu M, respectively by differential pulse voltammetry (DPV). The analytical performance of this modified electrode as a biosensor was also demonstrated for the determination of DA, UA and AA in dopamine injection, human urine and vitamin C tablets, respectively, in presence of other interfering substances. (C) 2015 The Electrochemical Society. All-rights reserved

    Simultaneous Determination of Catecholamines in Presence of Uric Acid and Ascorbic Acid at a Highly Sensitive Electrochemically Activated Carbon Paste Electrode

    No full text
    A simple yet remarkable, electrochemically activated carbon paste electrode (EACPE) was prepared by successive potential cycling of carbon paste in a 0.1 M NaOH solution and was effectively used for the simultaneous determination of catecholamines such as dopamine (DA), epinephrine (E) and Norepinephrine (NE) in presence of uric acid (UA) and ascorbic acid (AA). Taking DA as the ideal catecholamine, the electrochemical behaviors of DA, UA and AA such as scan rate and pH variation was studied by cyclic voltammetry (CV) in phosphate buffer solution (PBS, pH 7.1). This electrochemical sensor exhibited strong electrocatalytic activity towards the oxidation of a mixture of catecholamines, UA and AA with apparent reduction of overpotentials. Crider optimum conditions, limit of detection (S/N = 3) of DA, E, NE, UA and AA was found to be 0.08, 0.08, 0.07, 0.1 and 6.0 mu M, respectively by differential pulse voltammetry (DPV). The analytical performance of this modified electrode as a biosensor was also demonstrated for the determination of DA, UA and AA in dopamine injection, human urine and vitamin C tablets, respectively, in presence of other interfering substances. (C) 2015 The Electrochemical Society. All-rights reserved

    Voltammetric determination of paracetamol, tramadol and caffeine using poly(Nile blue) modified glassy carbon electrode

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    A poly(Nile blue) modified glassy carbon electrode (PNBMGCE) was fabricated by electropolymerisation of Nile blue (NB) monomer using cyclic voltammetry (CV) and was used for the determination of paracetamol (ACOP), tramadol (TRA) and caffeine (CAF). The electrochemical investigations showed that PNB - film formed on the surface of glassy carbon electrode (GCE) improved the electroactive surface area and displayed a remarkable increase in the peak current and a substantial decrease in over potential of ACOP, TRA and CAF when compared to bare GCE. The dependence of peak current and potential on pH, sweep rate and concentration were also investigated at the surface of PNBMGCE. It showed good sensitivity and selectivity in a wide linear range from 2.0 x 10(-7) to 1.62 x 10(-5) M, 1.0 x 10(-6) to 3.1 x 10(-4) M and 8.0 x 10(-7) to 2.0 x 10(-5) M, with detection limits of 0.08, 0.5 and 0.1 mu M, for ACOP, TRA and CAF, respectively. The PNBMGCE was also successfully applied for the determination of ACOP, TRA and CAF in pharmaceutical dosage forms. (C) 2016 Elsevier B.V. All rights reserved

    NiFe-layered double hydroxides: a bifunctional O-2 electrode catalyst for non-aqueous Li-O-2 batteries

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    Ascertaining an appropriate cathode material for the Li-O-2 battery system is one of the main tasks at present. To deal with this, in this study, a highly active and stable NiFe-layered double hydroxide (LDH) is synthesized via a hydrothermal method. The characterisation results showed the presence of LDH nanoplates covered with Ni and Fe nanoparticles. In addition to the as prepared NiFe-LDH, its calcinated products at three different temperatures, 300, 500 and 800 degrees C are also studied for the oxygen reduction reaction (ORR) in a non-aqueous electrolyte by using cyclic voltammetry and rotating disc electrode (RDE) techniques. The as prepared NiFe-LDH exhibits a comparatively greater catalytic activity for ORR than its calcinated products. Li-O2 battery tests are then carried out to further evaluate the catalytic activity of the products in 1.0 M LiPF6 in tetraethylene glycol dimethyl ether (TEGDME). NiFe-LDH exhibited superior catalytic performance with a specific discharge capacity of similar to 3218 mA h g(-1) at 0.1 mA cm(-2). The discharge plateau appears at 2.75 V which is close to theoretical potential (2.9-3.1 V) for Li2O2 formation. A stable specific discharge capacity of similar to 1728 mA h g(-1) is obtained even after 30 cycles at 0.1 mA cm(-2). The discharge-recharge voltage gap is about similar to 0.9 V

    Electrocatalytic Oxidation and Determination of Morin at a Poly(2,5-dimercapto-1,3,4-thiadiazole) Modified Carbon Fiber Paper Electrode

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    Voltammetric determination of morin on carbon fiber paper (CFP) electrode modified by electropolymerization of 2,5-dimercapto1,3,4- thiadiazole (DMTD) in phosphate buffer solution (PB, pH 9.0) have been studied. This modified electrode showed strong electrocatalytic activity toward the oxidation of morin, a flavonoid at physiological pH (PB, pH 7.0). Morin gave a sensitive anodic peak at 0.245 V (vs. SCE). The parameters influencing the anodic peak of morin such as effect of pH, effect of scan rate and concentration have been optimized. The electrochemical process was found to be irreversible and adsorption-controlled. Under the optimum conditions, the anodic peak current was linear to concentration of morin in the range of 2.5 x 10(-10)-2.75 x 10(-9) M and detection limit was found to be 8.3 x 10(-11) M. The practical application of the modified electrode was successfully demonstrated for the determination of morin in mulberry leaves. (C) 2016 The Electrochemical Society. All rights reserved

    Disease Prediction Using Snn over Big Data

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    Enormous information and its strategies not just assistance the biomedical and social insurance segments to estimate the illness expectation yet in addition the patients. It is hard to meet the specialist at all the occasions in clinic for minor indications. Enormous information gives fundamental data about the maladies dependent on the indications of the patient. These days’ individuals need to find out about their wellbeing, ailments and the related medicines for their advancement. Anyway existing medicinal services framework gives organized info which needs in dependable and exact forecast. Here, Sensational Neural Network (SNN) is proposed which recognizes the most precise malady dependent on patient’s input which advantages in early discovery. Electronic Health Record (EHR) keeps up and refreshes persistent wellbeing records which encourage an improved expectation model. Enormous information utilizes both organized and unstructured data sources which result in moment direction to their medical problems. The framework takes contribution from the clients which checks for different illnesses related with the side effects dependent on breaking down an assortment of datasets. In the event that the framework can't give reasonable outcomes, it private the clients to go for Clinical Lab Test (CLT, for example, blood test, x-beam, and sweep so on where the transferred pictures are sent for the successful profound learning forecast. The various parameters incorporated into viable programmed multi ailment forecast incorporate preprocessing, grouping and prescient examination. The principle target of the proposed framework is to distinguish the sicknesses dependent on the manifestations and give legitimate direction for the patients to take treatment rapidly immediately in a helpful and proficient way.</jats:p
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