Traditional Storage Methods Research Articles

Advancements in Network Attached Storage (NAS) for Mobile Devices: Technological Developments and Performance Assessment

Network-attached storage (NAS) technology has emerged as a vital solution in the evolving landscape of data management and storage. With the exponential growth of data and the increasing demand for efficient, scalable storage solutions, NAS systems offer a centralized, cost-effective, and flexible alternative to traditional storage methods. This paper explores the application and advantages of NAS technology in various scenarios, from home and small business environments to large enterprises. It highlights the key strengths of NAS systems in optimizing data storage, ensuring data security, and facilitating cross-device sharing. The study delves into the architectural components of NAS, including file systems, RAID configurations, and network protocols, to demonstrate how these technologies enhance storage performance and reliability. Technical details on NAS system design, such as the integration of advanced file systems and user-level networking technologies, are discussed to showcase their impact on data transfer efficiency and overall system performance. Experimental results validate the effectiveness of NAS in different environments, illustrating its ability to provide high availability, data redundancy, and low-latency data access. The findings underscore NAS technology’s potential as a versatile and scalable storage solution, with recommendations for future research focused on developing new file systems, optimizing network protocols, and exploring edge computing integrations to further enhance NAS capabilities.

Hydrogen Storage Materials: Promising Materials for Kazakhstan’s Hydrogen Storage Industry

Hydrogen, widely recognized as an efficient and clean energy carrier, holds significant promise for transforming future energy systems. Despite advances in hydrogen production and cost reduction, challenges in hydrogen storage continue to impede its widespread adoption. Traditional storage methods, such as high-pressure tanks and liquid hydrogen, have limitations related to high energy and resource costs. Solid-state materials offer a safer and more reliable alternative for hydrogen storage under various operating conditions. This review article provides an in-depth analysis of hydrogen storage materials, focusing on metal hydrides, complex hydrides, and carbon-based materials, with particular attention to their thermodynamic, structural, and kinetic properties. Additionally, the article explores the potential application of certain materials in Kazakhstan's hydrogen market, highlighting the country's rich mineral resources and existing industrial infrastructure. By leveraging these resources, Kazakhstan can play a crucial role in advancing hydrogen storage technologies and contributing to global decarbonization efforts. The review aims to offer comprehensive insights into the current state and prospects of solid-state hydrogen storage materials, emphasizing their relevance and potential impact on Kazakhstan's energy sector.

From megabytes to molecules: The usage of DNA computing for storage and its implications on the future

It is more important now than ever to develop more effective data storage techniques in the constantly advancing field of computers. Due to their limits in terms of durability, information density, and physical space requirements, current storage technologies, such as magnetic and optical media, are finding it difficult to keep up with the global demand for data storage, which is expected to exceed 175 trillion gigabytes by 2025. Nature’s own method of storing genetic information for a long time, deoxyribonucleic acid (DNA), provides great data density, stability, and endurance, making it a viable solution to address this issue. Through a comprehensive analysis of existing literature, this paper aims to provide a nuanced understanding of DNA computing’s current state - mainly its trajectory towards becoming a viable alternative to traditional storage methods - highlighting the history, current developments/challenges, and future prospects.

Advances and Prospects of Nanomaterials for Solid-State Hydrogen Storage.

Hydrogen energy, known for its high energy density, environmental friendliness, and renewability, stands out as a promising alternative to fossil fuels. However, its broader application is limited by the challenge of efficient and safe storage. In this context, solid-state hydrogen storage using nanomaterials has emerged as a viable solution to the drawbacks of traditional storage methods. This comprehensive review delves into the recent advancements in nanomaterials for solid-state hydrogen storage, elucidating the fundamental principles and mechanisms, highlighting significant material systems, and exploring the strategies of surface and interface engineering alongside catalytic enhancement. We also address the primary challenges and provide future perspectives on the development of nanomaterial-based hydrogen storage technologies. Key discussions include the role of nanomaterial size effects, surface modifications, nanocomposites, and nanocatalysts in optimizing storage performance.

Tele-Trafficking of Virtual Data Storage Obtained from Smart Grid by Replicated Gluster in Syntose Environment

One of the most important developments in the energy industry is the evolution of smart grids, which record minute details of voltage levels, energy usage, and other critical electrical variables through General Packet Radio Service (GPRS)-enabled meters. This phenomenon creates an extensive dataset for the optimization of the grid system. However, the minute-by-minute energy details recorded by GPRS meters are challenging to store and manage in physical storage resources (old techniques lead to a memory shortage). This study investigates using the distributed file system, replicated Gluster, as a reliable storage option for handling and protecting the enormous volumes of data produced by smart grid components. This study performs two essential tasks. (1) The storage of virtual data received from GPRS meters and load flow analysis of SynerGee Electric 4.0 software from the smart grid (we have extracted electrical data from 16 outgoing feeders, distributed lines, in this manuscript). (2) Tele-trafficking is performed to check the performance of replicated Gluster (RG) for virtual data (electrical data received from the smart grid) storage in terms of User Datagram Protocol (UDP), Transmission Control Protocol (TCP), data flow, and jitter delays. This storage technique provides more opportuni11ty to analyze and perform smart techniques efficiently for future requirement, analysis, and load estimation in smart grids compared to traditional storage methods.

Conservation techniques for promising bacteria in the oil industry to preserve biological properties

Background: The conservation of valuable bacterial strains is crucial for various scientific, industrial, and environmental applications. Microorganisms with oil-emulsifying and oil-displacing properties are potentially significant for biotechnologies applied in the oil industry, particularly in such areas as bioremediation and tertiary enhanced oil recovery. To supply enterprises with pure cultures of microorganisms, they should be constantly maintained in the collection conditions in an active state while monitoring the preservation of their biotechnological properties. Therefore, keeping microorganism strains in working conditions and preserving their valuable properties are important for almost any work with microorganisms, ranging from primary research to their use in the production of various biopreparations.
 Aim: The article focuses on studying a method for preserving bacteria that are useful in the oil industry. This method involves modifying the technique of microencapsulating microorganism cells in alginate gel by adding glycerin, which is used as an agent with biostatic action.
 Materials and methods: The subject of research are eight hydrocarbon-oxidizing cultures of microorganisms that were sourced from the Department of Biotechnology of the al-Farabi Kazakh National University. Of these, four cultures were spore-bearing, while the other four were non-spore-bearing. The research employed microbiological methods of cultivation and storage of microorganisms in both solid and liquid media under aerobic conditions. In addition, Cooper's method was used to determine oil emulsification index and statistical methods for data analysis.
 Results: It has been found that adding glycerin (15% vol.) as a biostatic to the gel-forming matrix of sodium alginate can ensure long-term (up to 6 months) cell viability for the studied bacteria in the range of 88-96% while maintaining functionality of immobilized cells. The values of the bacteria’s oil emulsification remained at the pre-conservation levels, whereas traditional storage methods result in a lower number of viable cells after six months. It should be noted that after six months of being stored in encapsulated form with glycerin, the viability of non-sporе-forming Pseudomonas cultures is lower (88-91%) than spore-forming Bacillus (95-98%). This correlation is also is observed for traditional methods.
 Conclusion: The modern method of preserving bacteria allows for their long-term storage while maintaining functionality and viability.

Storage and Data Processing Technology in the Era of Information Explosion: from Traditional to Edge Computing

Data-intensive IoT gradually occupying the market, and efficient and reliable storage algorithms of signals and information are becoming increasingly important. The old-era storage algorithms no longer meet the needs of digital and intelligent cloud storage due to large space usage and low operating efficiency. One of the important topics in IoT cloud computing is to find a turning point from traditional storage methods to develop data-intensive and efficient storage methods. This research analyzed the principles, features, advantages, and disadvantages of many classic storage algorithms, including RS code, EVENODD code, Pyramid code, etc. It is to find storage algorithms suitable with higher storage efficiency in the IoT. Finally, Pyramid code is leading in data recovery efficiency and scalability and is suitable for higher and faster storage needs of the IoT. However, the shortcoming of Pyramid code also has challenges in the large number of failures that occur, due to its slower recovery speed.

Analysis of the Cross-Contamination of explosive canine training aids during manufacturing and storage

Explosive detecting canines should be trained using real explosive materials that have minimal contamination by other explosive odors to ensure accurate identification of potential threats. Therefore, the potential for cross-contamination between training aids is of importance. There are various storage methods in use by canine handlers, such as plastic and cloth bags, but these can lead to cross-contamination between training aids during storage. Alternatively, odor-permeable membrane devices (OPMD) may store training aides and be used as a delivery device. OPMDs allow for volatile compounds from the training aids to be released during training while helping to prevent contaminants from entering the device. However, the amount of contamination in a training aid upon receipt from a vendor is outside the control of canine handlers. To test the initial cross-contamination levels of training aids, 11 explosive materials were ordered from three different vendors. A 1-gram sample of each was collected and analyzed using gas chromatography – mass spectrometry. In several cases, explosive materials that are commercially available already exhibit elevated levels of contamination. This indicates that training aids must be acquiring contamination during manufacturing and/or storage at the vendor facility. The cross-contamination of explosive canine training aids stored in OPMDs was further evaluated and compared to traditional storage methods by storing various combinations of storage containers with explosives and using activated charcoal strips to collect the volatile compounds. Only one type of storage container, a Velcro bag, showed evidence of contamination.

IoT Based Onion Storage Monitoring and Automation Control System

Onions are a staple crop globally, consumed in various culinary dishes and food products. However, their post-harvest preservation presents a significant challenge. Onions are sensitive to moisture, temperature, and humidity variations, making them prone to rot and spoilage during storage. Traditional storage methods often rely on periodic manual checks and manual intervention, which can be ineffective and resource-intensive. This project aims to address these challenges by implementing an Internet of Things (IoT) based solution that leverages moisture sensors, temperature and humidity sensors, microcontrollers, and an IoT platform to continuously monitor and regulate storage conditions, ensuring optimal onion quality and extended shelf life. Onions, a fundamental and widely consumed vegetable in global culinary traditions, face significant post- harvest preservation challenges. Sensitivity to variations in storage conditions, such as temperature, humidity, and moisture levels, often leads to spoilage and a rapid decline in quality. Traditional storage methods reliant on manual monitoring prove resource-intensive, prone to human error, and lack real-time insights into the evolving storage environment. This project introduces an innovative solution, an Internet of Things (IoT)-based onion storage monitoring system, to address these challenges. The system deploys sensors to continuously collect data on storage conditions, transmitting it to a cloud-based platform for real-time analysis. The analysis identifies trends and anomalies, triggering alerts and recommendations via a user-friendly interface. The anticipated outcomes of this project include enhanced onion quality, reduced spoilage, and increased resource efficiency for farmers and storage facility operators. This technology-driven approach contributes to the availability of high-quality onions in the market, serving both agricultural and culinary sectors. The IoT-based onion storage monitoring system represents a substantial step forward in post-harvest preservation, marking a promising advancement in the agriculture industry

INNOVATION IN DATA STORAGE TECHNOLOGIES: FROM CLOUD COMPUTING TO EDGE COMPUTING

In an era where data is the new gold, understanding the evolution and future trajectory of data storage technologies is crucial. This paper delves into the transformative journey from traditional storage methods to contemporary paradigms like cloud and edge computing, underpinned by the burgeoning influence of Big Data, IoT, AI, and machine learning. The study's aim is to provide a comprehensive analysis of these technologies, assessing their development, efficacy, and the challenges they face in meeting the escalating demands of data storage.
 The methodology employed is a meticulous synthesis of literature reviews, case studies, and comparative analyses. This approach facilitates an in-depth exploration of the historical evolution of data storage, the paradigm shifts from cloud to edge computing, and the interplay between technological advancements and user demands. The study also scrutinizes the security concerns inherent in these technologies and identifies strategic directions for future research. Key findings reveal that while cloud computing has revolutionized data storage with its scalability and flexibility, edge computing emerges as a vital solution to latency and bandwidth limitations. The integration of AI and machine learning is identified as a pivotal factor in enhancing the efficiency and intelligence of data storage systems. However, this integration presents unique challenges, necessitating innovative solutions. Conclusively, the study recommends a continued focus on innovation in data storage technologies, emphasizing the development of integrated, secure, and efficient solutions. Future research should particularly explore the potential of AI and machine learning in overcoming current limitations.
 The paper's scope encompasses a comprehensive overview of the current state and future potential of data storage technologies, making it a valuable resource for researchers, technologists, and policymakers in the field.
 Keywords: Data Storage Technologies, Cloud Computing, Edge Computing, Big Data, Internet of Things (IoT), Artificial Intelligence (AI).

Effect of slurry ice on quality characteristics and microbiota composition of Pacific white shrimp during refrigerated storage

The objective of this study was to investigate the effect of using seawater slurry ice (SI) as storage medium on Pacific white shrimp (Litopenaeus vannamei) under 2 °C refrigerated storage. Meanwhile, traditional storage methods, such as crushed ice (CI) and cold storage (CS), were employed for comparison. The results showed that the SI storage inhibited microbial growth, retarded total volatile basic nitrogen (TVB-N) and melanosis formation, and maintained appearance due to the anoxic, cold, and hyperhaline environment provided by seawater slurry ice. The microbiota analysis revealed that spoilage bacteria (Pseudoalteromonas) was inhibited, while Psychromonas replaced Pseudoalteromonas and Psychrobacter as the major spoilage bacteria at the 6th day of slurry ice storage. In addition, the slurry ice reduced the rate of K-value and maintained the umami taste of shrimp. This study demonstrated the advantages of slurry ice in shrimp preservation, and provided new insight of developing new strategy for aquatic product storage.

Konteyner Limanlarında Geleneksel İstifleme Yöntemlerinin Kaynak Temelli Yaklaşım Bağlamında Bulanık AHP Yöntemiyle Analizi: Sistemsel Bir Öneri

Konteyner trafiğinin her geçen gün artması ile konteyner sahalarına ve limanlarına olan ihtiyaç gün geçtikçe aynı oranda artmaktadır. Bu bağlamda, özellikle konteyner terminallerdeki geri saha problemleri liman kapasitelerini sınırlamaktadır. Bu nedenle, liman kapasite artışlarına ihtiyaç duyulmaktadır. Diğer taraftan, yeni limanların yer problemleri nedeni ile sanayi bölgelerinden daha uzak bölgelere inşa edilmesi durumları ortaya çıkmaktadır. Bu durum hem ulaşım maliyetlerini artırmakta hem de karbon emisyonları bakımından üretim tesislerini dezavantajlı duruma getirmektedir. Ayrıca, geri-depo sahalarında kapasiteler belirlenirken hava şartları, geri saha istif ekipman kat sınırlamaları ve konteynerlerin zati kaldırma kapasiteleri dikkate alınmalıdır. Bu çalışmada geleneksel konteyner istifleme sistemlerinin darboğazlarını tanımlayan kriterler belirlenmiş ve Bulanık AHP yöntemi ile analiz edilmiştir. Elde edilen sonuçlar en önemli kriterin ‘Ekipman Sınırlamaları’ olduğunu ortaya koymaktadır. Bu da liman kapasitesini belirleyen istifleme yüksekliğindeki sınırlamaya sebep olmaktadır. Bu nedenle, gelecekte ihtiyaç duyulması öngörülen kapasite artışına cevap verebilecek bir istifleme sisteminin uygun stratejik yaklaşımlarla belirlenmesi kaynak temelli yaklaşım açısından da en rekabetçi yaklaşım olması düşünülmektedir. Bu bağlamda, çok katlı konteyner istifleme sistemleri, kısıtlı liman sahasında yüksek istifleme kapasiteleri, yüksek operasyonel verimlilik, yeşil enerji üretimine olanak vermesi ve daha düşük karbon ayak izi gibi avantajları bakımından kapasite problemlerini gidermeye çalışan limanlar için rekabetçi avantaj getirecektir.

Renewable energy scenarios for water desalination and conveyance: Case of red sea-dead sea project

The objective of the Jordan Red Sea-Dead Sea (RSDS) project is to transport desalinated water from the Gulf of Aqaba to the Dead Sea. It aims to resolve two fundamental issues in Jordan: the lack of potable water in the country's center and the low water level in the Dead Sea. Desalinated seawater should be pumped from the Gulf of Aqaba to the Dead Sea as part of the RSDS project.This study is not only the first study to focus on the feasibility of using renewable energy sources to meet the project's energy needs, but the approach taken in this research is also novel. It employs a variety of software packages in order to accomplish the research goals. Thus, a number of operational scenarios for the RSDS project employing renewable energy technologies, as these resources are essential for sustainable development, are proposed. Based on the availability of renewable energy sources in the project region, only solar and wind technologies are included in the technology selection process. The selection of a suitable technology from renewable energy technologies was based on eight scenarios that were developed using several selection criteria. The social, technical, environmental, risk evaluation, and financial impact scenarios were investigated. Analytic hierarchy process and multi-criteria decision analysis were utilized to evaluate the electricity generation options for the project. The results indicated that the economic scenario is the optimal scenario for covering the entire load. Levelized Cost Of Energy (LCOE) and payback period are sub-criteria for this scenario. The primary goal of this scenario is to cover the load with the lowest LCOE and shortest payback period possible. The results indicated that a 945 MW Photovoltaic plant and a 630 MW wind energy plant are required to cover the total loads for desalination and water pumping. Energy storage is essential in any scenario where renewable energy sources are used to meet demand. Electric vehicles are employed in this research as a kind of energy storage to lessen the demand for more traditional storage methods. The number of 85 kWh electric vehicles needed to replace traditional storage medium is estimated. It is determined that 53,614 and 57,584 electric vehicles in the 24 hour and 12 hour operating times, respectively, are required under the economic scenario.

DNA Data Storage: The Fusion of Digital and Biological Information

With the development of Internet technology, human information data grows by a huge amount. Traditional data storage media are no longer suitable for large amounts of data storage due to their inherent shortcomings, such as high power consumption, large physical size, and short storage life. DNA information storage, on the other hand, can overcome these shortcomings to a certain extent. This paper introduces the process and mechanism of DNA storage, such as the DNA synthesis method, DNA coding, DNA preservation and sequencing, the history of DNA storage, its defects, and shortcomings. This article introduces the principles and mechanisms of DNA storage, including DNA synthesis method, data storage, and DNA preservation, as well as the history of DNA storage and its shortcomings and prospects for improvement, using the comparison of traditional storage methods and DNA storage methods as an import cut.

The changes in total antioxidant capacities of pomegranate and orange juice in frozen storage versus traditional storage methods

Bu çalışmanın amacı, hasat sonrası ürün kaybının önlenmesi için Akdeniz bölgesindeki evlerde halen kullanılan çam iğneleri ve pamuk tohumları kombinasyonundan oluşan geleneksel depolama ve dondurucuda (-20˚C) depolama yöntemlerini nar ve portakal meyvelerinin antioksidan kapasitesini korunma yetenekleri açısından karşılaştırmaktır. Meyveler geleneksel depolama ve dondurucuda depolama grupları olmak üzere iki gruba ayrılmıştır. Geleneksel depolama grubunda; meyveler bir bütün olarak, tasarlanan kasalarda depolanmıştır. Dondurucuda depolama grubunda ise meyveler sıkılmış ve meyve suları -20˚C'de depolanmıştır. İlk antioksidan kapasite ölçümleri meyve örnekleri laboratuvara gelir gelmez 2,2-difenil-1-pikrilhidrazil yöntemi kullanılarak yapılmış, ikinci ve üçüncü ölçümler ise sırasıyla 3. ve 6. aylarda gerçekleştirilmiştir. Sonuçlar her iki depolama yönteminin 3 aylık depolama süresince toplam antioksidan kapasiteyi koruma yetenekleri açısından benzer olduklarını, geleneksel depolama yönteminin en az üç aylık depolama için güvenilir bir şekilde kullanılabileceğini göstermiştir. Altı ay sonunda ise geleneksel depolama ile depolanan nar ve portakalların antioksidan aktivitelerinde %20 ve %33 oranında kayıp gerçekleşirken dondurucuda depolanan meyve sularının antioksidan aktivitelerinde istatistiksel olarak anlamlı bir değişim gözlenmemiştir.

Effect of supercooling on storage ability of different beef cuts in comparison to traditional storage methods

The effect of supercooling on different beef cuts was evaluated compared with traditional storage methods. Beef striploins and topsides were stored under freezing, refrigeration, or supercooling conditions and their storage ability and quality were analyzed during 28 days of storage. The total aerobic bacteria, pH, and volatile basic nitrogen were higher in the supercooled beef than in the frozen beef, but lower than in the refrigerated one, regardless of the type of cut. In addition, the discoloration of frozen and supercooled beef was slower than that of refrigerated beef. The results in storage stability and color indicate that supercooling can prolong the shelf-life of beef compared to refrigeration due to its temperature characteristic. In addition, supercooling minimized the problems of freezing and refrigeration, including ice crystal formation and enzyme-based deterioration; therefore, the qualities of topside and striploin were less affected. Collectively, these results indicate that supercooling can be a beneficial storage method for extending the shelf-life of different beef cuts.

Modelling of inactivation of microorganisms in the process of sterilization using high pressure supercritical fluids

High hydrostatic pressure technology is a relatively new method for the food industry and is considered more as an alternative to traditional storage methods such as thermal processes. Inactivation of spores, models, yeasts, and viruses has been demonstrated by this method. Although issues related to the safety and longevity of food, as well as their legal permits, require extensive case studies, the available experimental findings can be useful in expanding the potential applications of high pressure in the food industry. In this paper, CO2 is used as a fluid. Increasing the pressure in Weibull and log-logistic models from 2.5 MPa to 10 MPa has reduced the processing time from 700 minutes to 70 and 60 minutes, respectively. The log-logistic model in predicting the process of inactivation of microbes compared to the Weibull model has been the lowest, and also the log-logistic model has a suitable ability to predict the shoulder of the chart if the Weibull model does not have this ability and its error is almost high. Increasing the increase in pressure has increased the level of inactivation of Salmonella typhimurium and Listeria monocytogenes, except Listeria monocytogenes at a pressure of 6.05 MPa, which reduced inactivation.

Emerging Approaches to DNA Data Storage: Challenges and Prospects.

With the total amount of worldwide data skyrocketing, the global data storage demand is predicted to grow to 1.75 × 1014 GB by 2025. Traditional storage methods have difficulties keeping pace given that current storage media have a maximum density of 103 GB/mm3. As such, data production will far exceed the capacity of currently available storage methods. The costs of maintaining and transferring data, as well as the limited lifespans and significant data losses associated with current technologies also demand advanced solutions for information storage. Nature offers a powerful alternative through the storage of information that defines living organisms in unique orders of four bases (A, T, C, G) located in molecules called deoxyribonucleic acid (DNA). DNA molecules as information carriers have many advantages over traditional storage media. Their high storage density, potentially low maintenance cost, ease of synthesis, and chemical modification make them an ideal alternative for information storage. To this end, rapid progress has been made over the past decade by exploiting user-defined DNA materials to encode information. In this review, we discuss the most recent advances of DNA-based data storage with a major focus on the challenges that remain in this promising field, including the current intrinsic low speed in data writing and reading and the high cost per byte stored. Alternatively, data storage relying on DNA nanostructures (as opposed to DNA sequence) as well as on other combinations of nanomaterials and biomolecules are proposed with promising technological and economic advantages. In summarizing the advances that have been made and underlining the challenges that remain, we provide a roadmap for the ongoing research in this rapidly growing field, which will enable the development of technological solutions to the global demand for superior storage methodologies.

Elastisitas Transmisi Harga Komoditas Buah Pepaya Di Kabupaten Indramayu Jawa Barat

Corn (Zea mays L.) is one of the agricultural products whose seeds are used for food. Therefore, a good storage method is needed in order to increase the percentage of seed quality. Storage is one of a series of activities carried out after harvest which aims to reduce or reduce seed moisture content and can also increase the vigor resistance and viability of seeds to the environment. There are two types of storage methods, namely traditional storage methods and modern storage methods. The modern storage method is a development of the traditional development method, only the tools and materials used are different. the lowest percentage germination rate of the six parameters observed was the traditional storage method in jerry cans. This means that the percentage of seed germination rates from the four methods with increased germination rate (>) is in accordance with the observed data even though the seed storage period is at the same time, namely from May to September.

Comparative Proteomics Study on the Postharvest Senescence of Volvariella volvacea.

Volvariella volvacea is difficult to store after harvest, which restricts the production and circulation of V. volvacea fruiting bodies. Low-temperature storage is the traditional storage method used for most edible fungi. However, V. volvacea undergoes autolysis at low temperatures. When fruiting bodies are stored at 15 °C (suitable temperature), V. volvacea achieves the best fresh-keeping effect. However, the molecular mechanism underlying the postharvest senescence of V. volvacea remains unclear. Based on this information, we stored V. volvacea fruiting bodies at 15 °C after harvest and then analyzed the texture and phenotype combined with the results of previous physiological research. Four time points (0, 24, 60, and 96 h) were selected for the comparative proteomics study of V. volvacea during storage at 15 °C. A variety of proteins showed differential expressions in postharvest V. volvacea at 15 °C. Further comparison of the gene ontology (GO) enrichment analysis and KEGG pathways performed at different sampling points revealed proteins that were significantly enriched at several time points. At the same time, we also analyzed differentially expressed proteins (DEPs) related to the RNA transport, fatty acid biosynthesis and metabolism, and amino acid biosynthesis and metabolism pathways, and discussed the molecular functions of the PAB1, RPG1, ACC1, ADH3, ADH2, ALD5, and SDH2 proteins in postharvest V. volvacea senescence. Our results showed that many biological processes of the postharvest senescence of V. volvacea changed. Most importantly, we found that most RNA transport-related proteins were down-regulated, which may lead to a decrease in related gene regulation. Our results also showed that the expression of other important proteins, such as the fatty acid metabolism related proteins increased; and changes in fatty acid composition affected the cell membrane, which may accelerate the ripening and perception of V. volvacea fruiting bodies. Therefore, our research provides a reference for further studies on the aging mechanism of V. volvacea.