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Book
Chitosan Coating Improves Postharvest Shelf-Life of Mango (Mangifera indica L.)
Mango is an extremely perishable fruit with a short postharvest time, and a considerable proportion of harvested mangoes become spoiled due to the postharvest decay in mango-producing areas of the world. The current study was designed to evaluate the effects of chitosan on the storage life of mango. Mango samples were coated with 750, 1000, and 1500 ppm chitosan solution, before storing them in the open or zip-bags under ambient and refrigeration conditions for different storage periods. Changes in different physical and chemical parameters were recorded to evaluate the treatments’ effectiveness in extending fruit shelf-life and sustaining postharvest quality of mangoes. The results showed that chitosan coating was able to reduce weight loss up to 65% in comparison to the uncoated control. Total mold and bacterial counts were also significantly lower in postharvest mangos when they were coated with chitosan compared to the uncoated samples. In addition, different fruit quality attributes, such as vitamin C content, titratable acidity, sugar content, ash, and protein content were also retained to a considerable extent by the chitosan coatings. Chitosan at refrigeration temperature (4 °C) with zip-bag packaging had a greater positive effect on fruit shelf-life, weight maintenance, and quality attributes than ambient temperature. Among the different coating concentrations, 1000 ppm chitosan solutions could provide better performance to extend the shelf-life of mango fruit while maintaining quality attributes. Altogether, our findings suggest that chitosan coating effectively prolongs the storage life of mango fruit and maintains fruit quality during storage, and offers promising potential for successful commercialization of this edible coating for mango growers and the industry.
Journal Article
The digital humanities : a primer for students and scholars
\"The Digital Humanities is a comprehensive introduction and practical guide to how humanists use the digital to conduct research, organize materials, analyze, and publish findings. It summarizes the turn toward the digital that is reinventing every aspect of the humanities among scholars, libraries, publishers, administrators, and the public. Beginning with some definitions and a brief historical survey of the humanities, the book examines how humanists work, what they study, and how humanists and their research have been impacted by the digital and how, in turn, they shape it. It surveys digital humanities tools and their functions, the digital humanists' environments, and the outcomes and reception of their work. The book pays particular attention to both theoretical underpinnings and practical considerations for embarking on digital humanities projects. It places the digital humanities firmly within the historical traditions of the humanities and in the contexts of current academic and scholarly life\"-- Provided by publisher.
Book
Overexpression of SlMYB75 enhances resistance to Botrytis cinerea and prolongs fruit storage life in tomato
Key messageSlMYB75 increased the accumulation of JA and improved the scavenging of excess H2O2 to resist B. cinerea. Overexpression of SlMYB75 greatly prolongs tomato fruit storage life.Botrytis cinerea (B. cinerea) is a major threat to the production and storage life of tomato (Solanum lycopersicum) fruit around the world. SlMYB75 is an R2R3MYB transcription factor associated with the biosynthesis of anthocyanidin, but little is known about its function in the resistance of tomato to B. cinerea. In this study, we found that the overexpression of SlMYB75 regulated the accumulation of jasmonic acid (JA) and promoted the JA-mediated signaling pathway to resist B. cinerea infection. Moreover, the activities of peroxidase and superoxide dismutase, which were activated to scavenge hydrogen peroxide produced as a result of the B. cinerea infection, were enhanced in the transgenic tomato plants. Scanning electron microscopy images showed that the wax on the fruit skin surface was significantly decreased in the transgenic tomatoes compared with the wild type. However, SlMYB75 prolonged fruit storage life by both enhancing resistance to B. cinerea and directly downregulating the fruit shelf life-related gene SlFSR. Collectively, this study provides a good candidate gene for breeding high-quality tomatoes with a long storage life and high disease resistance.
Journal Article
Storage Life Prediction of Rubber Products Based on Step Stress Accelerated Aging and Intelligent Algorithm
Compared with the constant stress accelerated aging test, the step stress accelerated aging test reduces the accelerated aging test time by increasing the aging temperature step by step to obtain the aging failure life of rubber in a shorter time, but its data processing method is not mature enough. In this paper, a simplified step is proposed to process the step stress accelerated aging data. The identification of the acceleration factor is transformed into an optimization problem to avoid the error accumulation problem caused by fitting the data at each temperature. Considering the non-Arrhenius phenomenon in the rubber aging process, a modified Arrhenius equation was used to extrapolate the acceleration factor at low temperatures to calculate the prediction curves for the degradation of polyurethane rubber properties at low temperatures. The life prediction results of the constant stress accelerated aging test and step stress accelerated aging test were compared, and the dispersion coefficient between the two results was between 0.9 and 1. The results obtained by the two methods were in good agreement, which proved the correctness and feasibility of the method used in this paper.
Journal Article
Interlaminar Shear Strength Change and Storage Life Prediction of Carbon Fiber/Epoxy Composites with Hygrothermal Accelerated Aging
In order to investigate the durability of fiber-reinforced polymer composites in hygrothermal environments, hygrothermal accelerate aging tests, for 360 days at 70 °C, RH70%; 70 °C, RH85%; 85 °C, RH70%; and 85 °C, RH85% and natural storage for 2 years in Guangzhou, China, were carried out for composite laminates. Then, the moisture absorption and interlaminar shear strength were measured. The hygrothermal damage mechanism of the composite was studied by Fourier transform infrared (FTIR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and field emission scanning electron microscopy (FSEM). A dual stress storage life prediction model and the equivalent relationship between natural storage and hygrothermal acceleration were established. The results show that the order of moisture absorption rates, moisture absorption contents, and the severity effect order on the interlaminar shear strength is RH85%; 85 °C > 70 °C; RH85% > 85 °C; RH70% > 70 °C; and RH70%. The time to achieve an effective moisture absorption balance is opposite to this. The moisture absorption rate meets Fick’s law before the effective moisture absorption balance, and then shows a linear trend. The interlayer shear strength still decreases exponentially with aging, which is mainly caused by the resin plasticization and interface weakening. Hygrothermal accelerated aging for 13.4831 days at 85 °C; RH85% is equivalent to that for one-year actual storage in Guangzhou. According to the failure criterion of shear strength decreasing to 77%, the storage life of T700/epoxy in Guangzhou is 14.4661 years.
Journal Article
Storage Life Prediction of High-Voltage Diodes Based on Improved Artificial Bee Colony Algorithm Optimized LSTM-Transformer Framework
High-voltage diodes, as key devices in power electronic systems, have important significance for system reliability and preventive maintenance in terms of storage life prediction. In this paper, we propose a hybrid modeling framework that integrates the Long Short-Term Memory Network (LSTM) and Transformer structure, and is hyper-parameter optimized by the Improved Artificial Bee Colony Algorithm (IABC), aiming to realize the high-precision modeling and prediction of high-voltage diode storage life. The framework combines the advantages of LSTM in time-dependent modeling with the global feature extraction capability of Transformer’s self-attention mechanism, and improves the feature learning effect under small-sample conditions through a deep fusion strategy. Meanwhile, the parameter type-aware IABC search mechanism is introduced to efficiently optimize the model hyperparameters. The experimental results show that, compared with the unoptimized model, the average mean square error (MSE) of the proposed model is reduced by 33.7% (from 0.00574 to 0.00402) and the coefficient of determination (R2) is improved by 3.6% (from 0.892 to 0.924) in 10-fold cross-validation. The average predicted lifetime of the sample was 39,403.3 h, and the mean relative uncertainty of prediction was 12.57%. This study provides an efficient tool for power electronics reliability engineering and has important applications for smart grid and new energy system health management.
Journal Article
A modified mean deviation threshold function based on fast Fourier transform and its application in litchi rest storage life recognition using an electronic nose
Since gas sensor drift is a main limitation for the application of an electronic nose, and a reference standard is necessary for shelf management of litchi fruit, a modified mean deviation threshold function based on fast Fourier transform (MDFF–FFT) for electronic nose drift elimination and a new concept the rest storage life (RSL) for litchi fruit shelf situation evaluation have been constructed in this study. Three commonly used threshold acquisition methods, unbiased estimator, fixed threshold, and mini-max principle were evaluated to instead of selecting threshold value randomly for present MDFF–FFT. A PEN3 portable electronic nose was applied to recognize the RSL of litchi during storage across room temperature (RT), refrigerator environment (RE) and controlled-atmosphere (CA) environments. Linear discriminant analysis (LDA), probabilistic neural network (PNN), and partial least squares regression (PLSR) were used to compare the RSL classification effect, recognition accuracy, and predict ability of litchi stored in the three environments based on electronic nose with the drift elimination of different threshold acquisition methods using MDTF–FFT. The results showed that an electronic nose has the potential to recognize the RSL of litchi stored in different environments. Unbiased estimator method can provide better threshold than other threshold acquisition methods for MDTF–FFT. After drift elimination by unbiased estimator method combined with MDTF–FFT, litchi RSL can be classified, recognized and predicted by electronic nose effectively, the accuracy of which was higher than control (no drift elimination) and drift elimination with other methods.
Journal Article
Edible films and coatings for food packaging applications: a review
Food preservation technologies are currently facing challenges in prolonging the shelf life of perishable food products. The uses of edible films and coatings developed from food biopolymers have advanced significantly during the last few years. Edible packaging is consumable and made from food-grade biopolymers, including lipids, proteins, and polysaccharides from plants, animals, and marine life or food processing by-products. Here we review natural polymer and bioactive compounds integrated into edible films and coatings, and their effects on food quality attributes. We present preparation techniques for edible films and coatings, and properties such as antimicrobial, antioxidant, physical, and sensory. Récent trends on film composition, nanotechnology in edible films, and safety concerns are reviewed.
Journal Article
Effect of Light-Emitting Diodes (LEDs) on the Quality of Fruits and Vegetables During Postharvest Period: a Review
Major losses of fresh horticultural produce transpire during postharvest storage due to prompt senescence and diseases. The traditional postharvest preservation techniques used after harvest are based on cooling and the application of chemical preservation techniques. As a residue-free physical sterilization and preservation method, light-emitting diode (LED) treatment, has recently been applied for postharvest storage of fruits and vegetables by numerous researchers. This paper reviews the recent applications of LEDs in postharvest storage of fresh produce, including its effect on physiological characteristics, secondary metabolism, nutritional attributes, ripening process, senescence, shelf-life improvement, and pathogenic microbial spoilage of fruits and vegetables. LED treatment has promoted the accumulation of different phytochemicals, such as phenolic compounds, vitamins, glucosinolates, chlorophyll, total soluble solids, and carotenoids. Changes in the nutritional content, anthocyanin content, antioxidant capacity, and ripening were also observed after the treatment. Reduction in microbial spoilage and delay senescence were evident after the LED exposure. The influence of LED light depended on the fruit and vegetable variety. Therefore, LED treatment is an efficient and promising strategy for extending the storage life of fruits and vegetables with enhanced nutritional values.
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Journal Article