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[学术文献 ] Biotemplated Janus Magnetic Microrobots Based on Diatomite for Highly Efficient Detection of Salmonella 进入全文
ACS APPLIED MATERIALS & INTERFACES
沙门氏菌引起的食源性疾病对公众健康构成重大威胁。有效地检测它们仍然具有挑战性。本文研制了基于硅藻土的生物模板Janus圆盘状磁性微机器人（BJDMs），用于牛奶中沙门氏菌的高效检测。BJDMs装载了适配体，可以在群中磁驱动捕获沙门氏菌，在30分钟内在5.8 × 10(2)至5.8 × 10(5) CFU/mL的线性范围内，检测限低至58 CFU/mL。此外，BJDMs的二氧化硅表面具有较大的比表面积，可以吸附捕获的沙门氏菌中的DNA，这种特异性也通过多种食源性细菌的混合物测试得到了证实。这些基于硅藻土的微型机器人具有批量生产和低成本的优点，并且可以通过加载不同的探针扩展到其他类型的细菌毒素的检测。因此，本研究为构建食品安全实际应用中的快速生物检测平台提供了可靠的策略。
[学术文献 ] Advancements and challenges on SERS-based multimodal biosensors for biotoxin detection 进入全文
TRENDS IN FOOD SCIENCE & TECHNOLOGY
背景：食品安全是一个严重影响公众健康的全球性问题。特别是食品中存在的生物毒素已引起公众关注，因为它们有可能造成严重的健康问题。为了解决这个问题，研究提高了人们对开发强大的生物毒素监测分析工具的兴趣。表面增强拉曼光谱（SERS）作为一种新兴的表征和检测技术，以其特异性高、灵敏度高、反应速度快等优点在食品安全领域受到广泛关注。范围和方法：本综述深入研究了SERS及其组合技术在生物毒素检测中的进展，详细介绍了SERS底物、检测模式和基于SERS的不同类型的生物传感器，重点介绍了设计和传感策略的机制。尽管提高了检测灵敏度和准确性，但它讨论了复杂矩阵信号干扰的解决方案，以及信号转换和放大的需要。强调了基于SERS的生物传感器在革新食品安全检测方面的潜力，并提出了未来的研究方向，以解决当前的局限性并利用其在生物毒素监测方面的优势。主要发现和结论：基于SERS的多模态生物传感器的技术创新显著提高了SERS检测性能，为生物毒素检测提供了更广泛的应用途径。纳米材料的多功能性为构建基于SERS的生物传感器提供了灵活的设计解决方案。通过解决当前的挑战和探索未来的机会，这些方法的进步有望加强食品安全检测工作。
[学术文献 ] Design and Test of Intelligent Farm Machinery Operation Control Platform for Unmanned Farms 进入全文
AGRONOMY-BASEL
The unmanned farm control platform is of great significance in promoting the supervision of farm production with less manpower or autonomous operation of farm machinery and the construction of farm informatization. Addressing the existing control platform for farm location information acquisition is time-consuming, labor-intensive, and lacks the whole process control of multiple types of farm machinery. In this paper, we propose an Internet of Things (IoT) control scheme for intelligent farm machinery operation of unmanned farms and design the access standards for multiple types of farm machinery, as well as realize the remote control of intelligent farm machinery operation by constructing a remote control model. A high-precision map construction method is designed to improve the DeepLabV3+ algorithm to identify fields and roads. The control models of path planning, remote task, remote control, and safety system are built to achieve the remote control of intelligent agricultural machinery operation. The proposed technology is implemented in the platform integration and application tests are carried out. The error of the constructed high-precision map is less than 3 cm, the completeness rate of the automatic boundary extraction rate is 96.71%, and the correctness rate is 95.63%, which can be used to obtain the boundary instead of manual labeling or on-site point picking. The use of the platform for the simultaneous control of three farm machinery operations reduces the number of people in operation and production and reduces the professional requirements of the personnel, which will promote the management of the entire farm by one person or even by no one in the future.
[学术文献 ] From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector 进入全文
COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY
Although several food-related fields have yet to fully grasp the speed and breadth of the fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that Industry 5.0 (referring to the fifth industrial revolution) is already underway. Food Industry 4.0 has been characterized by the fusion of physical, digital, and biological advances in food science and technology, whereas future Food Industry 5.0 could be seen as a more holistic, multidisciplinary, and multidimensional approach. This review will focus on identifying potential enabling technologies of Industry 5.0 that could be harnessed to shape the future of food in the coming years. We will review the state-of-the-art studies on the use of innovative technologies in various food and agriculture applications over the last 5 years. In addition, opportunities and challenges will be highlighted, and future directions and conclusions will be drawn. Preliminary evidence suggests that Industry 5.0 is the outcome of an evolutionary process and not of a revolution, as is often claimed. Our results show that regenerative and/or conversational artificial intelligence, the Internet of Everything, miniaturized and nanosensors, 4D printing and beyond, cobots and advanced drones, edge computing, redactable blockchain, metaverse and immersive techniques, cyber-physical systems, digital twins, and sixth-generation wireless and beyond are likely to be among the main driving technologies of Food Industry 5.0. Although the framework, vision, and value of Industry 5.0 are becoming popular research topics in various academic and industrial fields, the agri-food sector has just started to embrace some aspects and dimensions of Industry 5.0.
[学术文献 ] Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review 进入全文
SUSTAINABILITY
While it is essential to increase agricultural production to meet the needs of a growing global population, this task is becoming increasingly difficult due to the environmental challenges faced in recent decades. A promising solution to enhance the efficiency and sustainability of agricultural production is the integration of Industry 4.0 technologies, such as IoT, UAVs, AI, and Blockchain. However, despite their potential, there is a lack of comprehensive bibliometric analyses that cover the full range of these technologies in agriculture. This gap limits understanding of their integration and impact. This study aims to provide a holistic bibliometric analysis of the integration of Industry 4.0 technologies in agriculture, identifying key research trends and gaps. We analyzed relevant literature using the Scopus database and VOSviewer software (version 1.6.20, Centre for Science and Technology Studies, Leiden University, The Netherlands)and identified five major thematic clusters within Agriculture 4.0. These clusters were examined to understand the included technologies and their roles in promoting sustainable agricultural practices. The study also identified unexplored technologies that present opportunities for future research. This paper offers a comprehensive overview of the current research landscape in Agriculture 4.0, highlighting areas for innovation and development, and serves as a valuable resource for enhancing sustainable agricultural practices through technological integration.
[学术文献 ] A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context 进入全文
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Today, open-field crop agriculture is becoming an increasingly knowledge-intensive industry, driven by global trends in scientific and technological development in the digitalisation and intellectualisation of production processes. This, in turn, has a positive impact on the formation of national economies and food security in many countries, including Ukraine. The aim of this manuscript is to analyse and generalise modern approaches, as well as global and Ukrainian achievements in the field of development and implementation of comprehensive solutions for software and hardware of intelligent technologies for online monitoring of the soil and climatic conditions of agricultural production with decision support. This can be used to substantiate scientific and applied provisions for the rational utilisation of areas and resources, as well as to increase the stress resistance of crops during the full cycle of their cultivation. The object of research is non-stationary processes of aggregation, network exchange, and intelligent interpretation of distributed measurement data on the soil and climatic conditions of open-field crop enterprises. The subject of the study is methods, computer models, and means for intelligent monitoring of the soil and climatic conditions of agrotechnical facilities of open-field crop production. The important scientific and applied issue of multi-criteria analysis and logical generalisation of global and domestic trends in the field of intellectualisation and digitalisation of agricultural enterprises in open-field crop production has been solved in this manuscript. Worldwide experience in the development and implementation of technologies for the digitalisation and intellectualisation of agrotechnical processes has been analysed and summarised in the article according to the following criteria: the functional purpose of the developments, the structural and algorithmic organisation of the technologies used, the technical and functional effect obtained, the methods and approaches used for the creation of the technologies. This study enabled to identify and substantiate promising areas for the development and implementation of comprehensive hardware and software solutions for agroclimatic monitoring.
