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Advances in Hyperspectral Imaging for Spoilage Detection in Meat and Poultry: A Non-Invasive Approach 高光谱成像在肉类和家禽腐败检测中的研究进展:一种无创方法
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-11 DOI: 10.1016/j.tifs.2026.105558
Zincia Sherin , Omar Bashir , Imdadul Hoque Mondal , Prashant Anil Pawase

Background

Meat and poultry are among the most highly perishable food commodities, and their rapid deterioration presents significant challenges to food safety, quality assurance, and economic sustainability. Conventional spoilage detection methods, including microbiological and chemical assays, remain reliable; however, they are often destructive, time-consuming, and unsuitable for real-time monitoring applications.

Scope and approach

Hyperspectral imaging (HSI) has become a prospective non-invasive technology that could be used in the simultaneous spatial and spectral data collection of the meat surface, offering in-depth information on chemical and microbial transformations. The present review is based on the current use of HSI in the process of monitoring microbial activity, identifying chemical indicators, including total volatile basic nitrogen (TVB-N), Thiobarbituric Acid Reactive Substances (TBARS), and pH changes, and measuring visible changes in colour and texture. Special attention is given to the combination of HSI and chemometric methods and state-of-the-art machine learning models, such as principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), convolutional neural networks (CNNs), long short-term memory networks (LSTMs), and autoencoders.

Key findings and conclusion

HSI has proven to be very accurate in the early detection of spoilage, in most instances better than conventional means. New innovations, including creation of portable HSI units, artificial intelligence, and multimedia systems that combine HSI and other sensors or internet of things, have expanded its application potential. Nevertheless, there are still notable issues, such as managing massive amounts of data, high prices of equipment, and the lack of uniform protocols to implement in industries. Future studies must aim at minimizing the size of the devices, creation of strong calibration systems, and the ease of incorporation into smart food devices. Together, these developments make HSI a future-proof, non-destructive, and dependable technology to assess the quality and safety of modern meat. This review further demonstrates that hybrid VIS-NIR-SWIR configurations combined with interpretable chemometric and machine-learning models consistently outperform single-range systems, while the lack of standardized validation and regulatory frameworks remains the primary barrier to large-scale industrial adoption.
肉类和家禽是最易腐烂的食品商品之一,它们的快速变质对食品安全、质量保证和经济可持续性提出了重大挑战。传统的腐败检测方法,包括微生物和化学分析,仍然是可靠的;然而,它们通常是破坏性的,耗时的,并且不适合实时监控应用程序。高光谱成像(HSI)已成为一种有前景的非侵入性技术,可用于同时收集肉类表面的空间和光谱数据,提供有关化学和微生物转化的深入信息。目前的综述是基于目前HSI在监测微生物活动,确定化学指标,包括总挥发性碱性氮(TVB-N),硫代巴比妥酸反应物质(TBARS)和pH变化以及测量颜色和质地的可见变化过程中的使用。特别关注HSI和化学计量学方法以及最先进的机器学习模型的结合,如主成分分析(PCA),偏最小二乘判别分析(PLS-DA),卷积神经网络(cnn),长短期记忆网络(LSTMs)和自编码器。hsi已被证明在早期发现腐败方面非常准确,在大多数情况下比传统方法更好。新的创新,包括便携式HSI单元的创建,人工智能以及将HSI与其他传感器或物联网相结合的多媒体系统,扩大了其应用潜力。然而,仍然存在一些值得注意的问题,例如管理大量数据,设备价格高,以及缺乏统一的协议来实施行业。未来的研究必须致力于使设备的尺寸最小化,创建强大的校准系统,以及易于集成到智能食品设备中。总之,这些发展使HSI成为一种面向未来的、非破坏性的、可靠的技术,用于评估现代肉类的质量和安全。该综述进一步表明,混合VIS-NIR-SWIR配置与可解释的化学计量学和机器学习模型相结合,始终优于单范围系统,而缺乏标准化验证和监管框架仍然是大规模工业应用的主要障碍。
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引用次数: 0
Engineered biosensor-driven food biomanufacturing: Intelligent multi-scale systems for nutrient synthesis monitoring and quality control 工程生物传感器驱动的食品生物制造:用于营养合成监测和质量控制的智能多尺度系统
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.tifs.2026.105552
Xinya Mo , Wen Zhu , Shutong Zhang , Zhuoning Cao , Qiang Zhao , Hao Dong , Hong Jiang , Jianan Sun , Sai Wang , Xiangzhao Mao

Background

Food biomanufacturing represents a transformative solution addressing both global nutrition and sustainability challenges through synthetic biology techniques. Engineered biosensors have emerged as pivotal tools enabling intelligent and multi-scale process monitoring and quality control in this domain.

Scope and approach

This review highlights recent biosensor innovations in food synthetic biology, covering rational design, technological advances, and real-world implementation frameworks. Fundamental investigation was conducted in the Web of Science database covering nearly five years, employing keywords including “nutrients”, “food”, “biosensors” and “biosynthesis”. Subsequently, a screening process was applied to the retrieved results, with the objective of identifying studies concerning food substances.

Key findings and conclusions

Existing biosensors leverage three core transduction mechanisms, i.e., cell-growth-coupled, optical and electrochemical, facilitating production of over 40 critical nutrients (e.g., amino acids, sugars, and phospholipids), via accelerating high-throughput strain and enzyme optimization, dynamic regulation of biosynthetic pathways, and sensitive quantitation of target nutrients. The biosensors assist to yield over 27 optimized strains/enzymes, with dynamic control boosting production up as high as 27-fold and limit of detection reaching as low as 44.46 pmol/L. Future food biomanufacturing will integrate AI-optimized, multiplexing, smart biosensors, and cross-species platforms to redefine the precision and sustainability benchmarks of next-generation food biomanufacturing ecosystems.
食品生物制造是通过合成生物学技术解决全球营养和可持续性挑战的一种变革性解决方案。工程生物传感器已成为该领域实现智能和多尺度过程监测和质量控制的关键工具。本综述重点介绍了食品合成生物学中最近的生物传感器创新,包括合理设计、技术进步和现实世界的实施框架。在Web of Science数据库中进行了近5年的基础调查,关键词包括“营养物”、“食物”、“生物传感器”和“生物合成”。随后,对检索结果进行筛选,目的是确定有关食品物质的研究。现有的生物传感器利用三种核心转导机制,即细胞生长耦合、光学和电化学,通过加速高通量菌株和酶优化、生物合成途径的动态调节和目标营养物质的敏感定量,促进40多种关键营养物质(如氨基酸、糖和磷脂)的产生。通过动态控制,可使产量提高27倍,检出限低至44.46 pmol/L。未来的食品生物制造将整合人工智能优化、多路复用、智能生物传感器和跨物种平台,重新定义下一代食品生物制造生态系统的精度和可持续性基准。
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引用次数: 0
Machine learning-driven microbial community synthesis: A new paradigm for intelligent upgrading of food fermentation 机器学习驱动的微生物群落合成:食品发酵智能升级的新范式
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-18 DOI: 10.1016/j.tifs.2026.105569
Xiaowei He , Xiaoran Hu , Kemin Mao , Jinwei Zhang , Jie Gao , Bimal Chitrakar , Honghong Cheng , Yaxin Sang

Background

Microbial metabolic activities are the central driving force behind fermented food production. However, these dynamic processes are influenced by factors such as substrate types, environmental conditions, and interspecies interactions within microbial communities. Challenges in the fermented food industry, including low production efficiency, unstable product quality, and significant product homogeneity in terms of functional and sensory profiles, highlight the need for innovative solutions.

Scope and approach

The integration of machine learning (ML) algorithms, guided by data features, with synthetic microbial communities (SynComs) offers a promising path forward. This review provides a comprehensive analysis of the strategies and limitations of SynComs, explores ML methods suitable for microbial community data, and proposes a ML-assisted pipeline for synthetic microbial community assembly, termed the Machine Learning-Assisted Synthetic Microbial Community (ML-ASM).

Key findings

Integration of ML with SynComs provides a viable solution to enhance fermentation efficiency and product stability. Advancing SynComs-ML integration, implementing data-driven approaches, and promoting cross-disciplinary innovation are crucial steps. This strategic alignment with circular bioeconomy principles will drive the systematic, intelligent transformation of fermented food production systems.
微生物代谢活动是发酵食品生产背后的核心驱动力。然而,这些动态过程受到诸如基质类型、环境条件和微生物群落内种间相互作用等因素的影响。发酵食品行业面临的挑战,包括生产效率低、产品质量不稳定以及产品在功能和感官方面的显著同质化,突出了对创新解决方案的需求。以数据特征为指导的机器学习(ML)算法与合成微生物群落(SynComs)的集成提供了一条有前途的前进道路。本文全面分析了SynComs的策略和局限性,探索了适合微生物群落数据的ML方法,并提出了一个ML辅助合成微生物群落组装的管道,称为机器学习辅助合成微生物群落(ML- asm)。主要发现ML与SynComs的集成为提高发酵效率和产品稳定性提供了可行的解决方案。推进syncom - ml集成、实施数据驱动方法和促进跨学科创新是至关重要的步骤。这种与循环生物经济原则的战略结盟将推动发酵食品生产系统的系统化、智能化转型。
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引用次数: 0
Chinese traditional fermented dairy products: Microbial ecology, quality enhancement, and probiotic potential 中国传统发酵乳制品:微生物生态、品质提升和益生菌潜力
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.tifs.2026.105567
Jie Zhang , Yufeng Li , Xuemei Zhao , Yongfu Chen , Musu Zha

Background

Chinese traditional fermented dairy products (CTFDPs) are representative foods of nomadic cultures in China, primarily including naturally fermented milk, sour cream, and cheese. These products are distinguished by their unique flavor and high nutritional value. Microorganisms are integral to the production of fermented foods, influencing their quality, safety, and nutritional profiles. Therefore, a comprehensive understanding of CTFDP-associated microbial communities is critical for identifying strains with significant potential for food and health-related applications. Furthermore, studying these geographically diverse natural fermentation ecosystems provides a model for exploring the general laws governing the assembly, stability, and function of microbial communities in food systems, which is of great significance for the preservation and optimization of traditional fermented foods.

Scope and approach

This review consolidates recent advances in the understanding of CTFDPs, focusing on traditional processing methods, microbial community composition, and the functional characteristics of prominent microbial strains isolated from these products. By combining modern sequencing technology with traditional pure culture techniques for the analysis of microbial communities, we can better analyze complex food microbiomes and selectively isolate functional strains.

Key findings and conclusions

CTFDPs are primarily produced in the pastoral regions of northern China, the Qinghai-Tibet Plateau, and the southwestern regions. The production methods are highly localized, but all CTFDPs rely on spontaneous fermentation without the use of commercial starter cultures. Consequently, the flavor and nutritional profiles of each product are heavily influenced by indigenous microbiota. At the genus level, the dominant bacteria were Lactococcus, Lactobacillus, and Streptococcus, whereas the fungi included Kluyveromyces and Pichia. In low-to-mid-altitude regions, Lactococcus lactis tends to predominate, whereas at higher altitudes, more acid-tolerant species such as Lactobacillus helveticus and Lactobacillus delbrueckii are dominant. These microorganisms influence the characteristics of CTFDPs through their metabolic activities and synergistic interactions. Researchers have begun combining traditional culturing techniques with modern high-throughput sequencing to characterize CTFDPs microbiomes and identify strains with desirable traits. These efforts aim to develop proprietary starter cultures and promote the broader development of CTFDPs in the future. In addition, we hope to provide a replicable blueprint for the modernization of traditional fermented foods and the development of resources worldwide through research strategies, such as strain screening and strain function mining in CTFDPs.
中国传统发酵乳制品(CTFDPs)是中国游牧文化的代表性食品,主要包括天然发酵乳、酸奶油和奶酪。这些产品以其独特的风味和高营养价值而著称。微生物是发酵食品生产中不可或缺的一部分,影响着发酵食品的质量、安全性和营养状况。因此,全面了解ctfdp相关微生物群落对于鉴定具有食品和健康相关应用潜力的菌株至关重要。此外,研究这些地理上多样化的自然发酵生态系统,为探索食品系统中微生物群落的聚集、稳定性和功能的一般规律提供了一种模式,这对传统发酵食品的保存和优化具有重要意义。本文综述了近年来对CTFDPs的研究进展,重点介绍了传统的加工方法、微生物群落组成以及从这些产品中分离出的主要微生物菌株的功能特征。将现代测序技术与传统纯培养技术相结合,进行微生物群落分析,可以更好地分析复杂的食品微生物组,选择性分离功能菌株。主要发现和结论sctfdp主要产自中国北方牧区、青藏高原和西南地区。生产方法高度本地化,但所有ctfdp都依赖于自发发酵,而不使用商业发酵剂。因此,每种产品的风味和营养成分都受到本地微生物群的严重影响。在属水平上,优势菌群为乳球菌、乳杆菌和链球菌,真菌群为克卢维菌和毕赤酵母。在中低海拔地区,乳酸乳球菌往往占主导地位,而在高海拔地区,更耐酸的物种,如helveticus乳杆菌和delbrueckii乳杆菌占主导地位。这些微生物通过代谢活动和协同作用影响CTFDPs的特性。研究人员已经开始将传统培养技术与现代高通量测序相结合,以表征ctfdp微生物组,并鉴定具有理想性状的菌株。这些努力旨在开发专有的发酵剂,并在未来促进ctfdp的更广泛发展。此外,我们希望通过CTFDPs的菌株筛选和菌株功能挖掘等研究策略,为传统发酵食品的现代化和全球资源的开发提供可复制的蓝图。
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引用次数: 0
Identification of evidence gaps and future research needs in food safety 确定食品安全方面的证据差距和未来的研究需求
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-03 DOI: 10.1016/j.tifs.2026.105544
E. Burton , S.P. Borriello , P.J. Gregory , J. Healing , C. Nicholson , T.H. Oliver , S. Pearson , R. Smith , M. Tildesley , J. Wastling , J. O'Brien
Establishing research priorities to support evidence-based regulatory goals requires cross disciplinary collective expert input. This paper reviews the application of expert elicitation to identify and prioritize research questions in food safety regulation, which approach offers regulators and research funders a rapid, reliable, and cost-effective method for assessing evidence gaps in an expanding scientific landscape. While similar methodologies have been applied in ecology and other fields, this is, to our knowledge, the first use in food safety research. Recommendations are provided to strengthen the process.
A facilitated workshop shortlisted 51 questions, grouped into 12 themes, from a long list of 262 submissions, which spanned broad topics, including understanding the origins of emerging hazards and their health impacts. Environmental and sustainability themes address unintended consequences of decarbonization, food waste reduction, and risks from recycled plastics and food byproducts. Dietary change raises questions on emerging allergens, nutritional adequacy of alternative proteins, low fibre intake, and microbiome-related health impacts. Technology-driven changes, such as new production systems, kitchen devices, and secondary food economies, intersect with these dietary shifts.
Scientific advances provide opportunities to improve understanding of the dietary exposome through better intake data. Exposure to dietary chemicals occurs alongside complex mixtures of other agents, requiring structured approaches to risk assessment. The evolving science of chemical mixtures and rapid innovation in food systems underscore the need for robust, prioritized research compatible with good regulatory practice.
建立研究重点以支持循证监管目标需要跨学科的专家集体投入。本文回顾了专家启发在食品安全监管中识别和优先考虑研究问题的应用,该方法为监管机构和研究资助者提供了一种快速、可靠和具有成本效益的方法,用于评估不断扩大的科学领域中的证据差距。虽然类似的方法已经应用于生态学和其他领域,但据我们所知,这是第一次在食品安全研究中使用。提出了加强这一进程的建议。一个便利的讲习班从262份提交的长清单中选出了51个问题,分为12个主题,这些问题涉及广泛的主题,包括了解新出现的危害的起源及其对健康的影响。环境和可持续发展主题涉及脱碳的意外后果,减少食物浪费,以及回收塑料和食品副产品的风险。饮食改变提出了新出现的过敏原、替代蛋白质的营养充分性、低纤维摄入量和微生物组相关健康影响等问题。技术驱动的变化,如新的生产系统、厨房设备和二级食品经济,与这些饮食变化交叉。科学的进步提供了机会,通过更好的摄入数据来提高对饮食暴露的理解。食用化学物质的暴露与其他物质的复杂混合物同时发生,需要采用结构化的方法进行风险评估。化学混合物科学的发展和食品系统的快速创新强调了与良好监管实践相适应的强有力的、优先的研究的必要性。
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引用次数: 0
Cottonseed protein as a sustainable alternative plant protein: Basic characteristics, recent advancements, applications and limitations 棉籽蛋白作为一种可持续替代植物蛋白:基本特征、最新进展、应用及局限性
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-02 DOI: 10.1016/j.tifs.2026.105531
Xinjie Shang , Shu Li , Shiyu Lin , Shihao Sun , Li Liang , Yuyu Zhang , Rui Yang

Background

With the increasing global demand for protein, traditional animal protein cannot meet the current protein demand due to its limited availability and high cost. As the world's third largest protein feed material after soybean meal and rapeseed meal, cottonseed meal contains a large amount of cottonseed protein. As a plant protein, cottonseed protein not only has a high yield, but also has high nutritional value. It is an economical and environmentally friendly protein that can be used as an emerging alternative protein in the food industry.

Scope and approach

Although there are increasing reports on cottonseed protein as a substitute protein, there is still a lack of comprehensive discussion on its composition, activity, and applications. This article systematically reviews the composition, extraction, and function characteristics of cottonseed protein. The extensive applications in food sector and utilization limitations were introduced, providing a reference for the development of cottonseed protein in the future.

Key findings and conclusions

Cottonseed protein, as a resource utilization of by-products from cottonseed meal, has a crude protein content of ≥50%. Except for slightly lower levels of methionine, the content of other essential amino acids meets the standards recommended by the Food and Agriculture Organization of the United Nations (FAO). Cottonseed protein not only shows various biological activities, but also has a wide range of applications in the food industry. This review aims to provide comprehensive understanding and practical guidance for the cottonseed protein in food applications.
随着全球对蛋白质需求的不断增加,传统的动物蛋白由于其有限的可用性和高昂的成本而无法满足当前的蛋白质需求。棉籽粕是仅次于豆粕和菜籽粕的世界第三大蛋白质饲料原料,棉籽粕中含有大量的棉籽蛋白。棉籽蛋白作为一种植物蛋白,不仅产量高,而且营养价值高。它是一种经济环保的蛋白质,可作为一种新兴的替代蛋白质在食品工业中使用。虽然棉籽蛋白作为一种替代蛋白的报道越来越多,但对其组成、活性和应用仍缺乏全面的探讨。本文系统地综述了棉籽蛋白的组成、提取及其功能特性。介绍了棉籽蛋白在食品领域的广泛应用及利用局限性,为今后棉籽蛋白的开发提供参考。主要发现和结论棉籽蛋白是棉籽粕副产品的资源化利用产物,其粗蛋白质含量≥50%。除蛋氨酸含量略低外,其他必需氨基酸的含量均符合联合国粮农组织(FAO)推荐的标准。棉籽蛋白不仅具有多种生物活性,而且在食品工业中有着广泛的应用。本文综述旨在为棉籽蛋白在食品中的应用提供全面的认识和实践指导。
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引用次数: 0
Aerogels in active packaging for food preservation: A comprehensive review of applications 气凝胶在食品保鲜活性包装中的应用综述
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1016/j.tifs.2026.105549
Chen Chen , Yujian Zhang , Huijun Cui , Ke Wu , Ruonan Guo , Aili Jiang , Di Wu

Background

The quality and safety of food can be compromised by various environmental factors during storage and transportation. Traditional packaging methods often fall short in effectively maintaining food quality and extending shelf-life. Active packaging, which incorporates functional materials to interact with the food or its environment, has emerged as a promising solution. Aerogel is an ideal materials for food active packaging due to its high pore structure and specific surface area, low density and thermal conductivity. This material can absorb excess moisture or gases and allow for controlled release of antibacterial or antioxidant components, thereby monitoring food freshness or extending its shelf-life.

Scope and approach

This review comprehensively summarizes the application of aerogel in food active packaging, including absorption pads, insulating packaging, freshness indicators, ethylene removers, and controlled-release active compounds. It also elaborated in detail on the impact of each application on food preservation, emphasizing their potential to enhance food quality, monitor food freshness and extend shelf-life. In addition, the challenges and possible solutions for further developing aerogel-based active packaging were also disscussed.

Key findings and conclusions

Aerogel-based active packaging exhibits excellent performance in maintaining food quality, extending shelf-life, and monitoring food freshness. Further research is necessary to address several challenges, including high production costs, complex technology and potential safety concerns, to meet the requirements for industrial production of aerogel-based active packaging. This review provides a clear direction for future research and practical applications, and ultimately contribute to the development of more effective and sustainable food packaging.
食品的质量和安全在储存和运输过程中会受到各种环境因素的影响。传统的包装方法往往不能有效地保持食品质量和延长保质期。活性包装,结合功能材料与食品或其环境相互作用,已经成为一个有前途的解决方案。气凝胶具有高孔隙结构和比表面积、低密度和导热性等优点,是食品活性包装的理想材料。这种材料可以吸收多余的水分或气体,并允许控制抗菌或抗氧化成分的释放,从而监测食品的新鲜度或延长其保质期。本文综述了气凝胶在食品活性包装中的应用,包括吸收垫、绝缘包装、新鲜度指标、乙烯去除剂和控释活性化合物等。它还详细阐述了每种应用对食品保鲜的影响,强调了它们在提高食品质量、监测食品新鲜度和延长保质期方面的潜力。此外,还讨论了进一步发展气凝胶活性包装所面临的挑战和可能的解决方案。凝胶活性包装在保持食品质量、延长保质期和监测食品新鲜度方面表现出优异的性能。为了满足气凝胶活性包装的工业化生产要求,需要进一步的研究来解决一些挑战,包括高生产成本、复杂的技术和潜在的安全问题。本文综述为今后的研究和实际应用提供了明确的方向,并最终为开发更有效和可持续的食品包装做出贡献。
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引用次数: 0
Recent advances of pretreatments and drying technologies in processing small berries: A comprehensive review 小浆果加工前处理和干燥技术的最新进展综述
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-08 DOI: 10.1016/j.tifs.2026.105553
Yan Ge , Qiao-Yi Ma , Shan-Yu Wang , Arun S. Mujumdar , Xiaojun Huang , Hong-Wei Xiao , Zi-Liang Liu , Shaoping Nie

Background

Small berries are rich in bioactive compounds and possess high nutritional value, while the high perishability of fresh small berries severely limits their consumptions and utilizations. Drying is an effective preservation strategy that can extend the shelf life and enhance their added values. Notably, the cuticular wax layer of small berries impedes the moisture migration and thus results in serious degradation of bioactive compounds during drying.

Scope and approach

This review systematically describes the criteria of dried small berries and summarizes both conventional and emerging drying technologies, focusing on the dehydration principles, practical applications, and their respective limitations. A critical comparison of these drying techniques is conducted, particularly regarding their effects on the retention of bioactive compounds, physical structure, and sensory properties of dried small berries. In parallel, it analyzes the impact mechanism of various pretreatment techniques on optimizing the drying processes. The performance of various emerging drying technologies in processing small berries is further compared in commercial level. Finally, the optimal strategies for processing small berries are proposed.

Key findings and conclusion

Appropriate pretreatments can disrupt the wax layer structure, enhance cell membrane permeability, and inactivate oxidative enzymes, thereby significantly improving drying efficiency and product quality. Emerging drying technologies combined with environmentally friendly pretreatment not only enables the production of high-quality dried small berries but also enhances the process sustainability through minimized water pollution, reduced carbon emissions, and efficient use of energy resources. However, how to balance the drying efficiency, product quality, and energy consumption during the processing of small berries remains a critical bottleneck. In the future, the integration of artificial intelligence for the real-time control and process optimization is identified as a promising pathway toward efficient, intelligent, and sustainable drying systems of small berries.
小浆果含有丰富的生物活性化合物,具有很高的营养价值,但新鲜小浆果极易腐烂,严重限制了小浆果的食用和利用。干燥是一种有效的保存策略,可以延长保质期,提高其附加值。值得注意的是,小浆果的表皮蜡层阻碍了水分的迁移,从而导致干燥过程中生物活性化合物的严重降解。本文系统地描述了小浆果干燥的标准,总结了传统和新兴的干燥技术,重点介绍了脱水原理、实际应用及其各自的局限性。对这些干燥技术进行了关键的比较,特别是关于它们对干燥的小浆果的生物活性化合物的保留,物理结构和感官特性的影响。同时,分析了各种预处理工艺对优化干燥工艺的影响机理。在商业层面上进一步比较了各种新兴干燥技术在小浆果加工中的性能。最后,提出了小浆果加工的最优策略。结论适当的预处理可以破坏蜡层结构,增强细胞膜通透性,灭活氧化酶,从而显著提高干燥效率和产品质量。新兴的干燥技术与环保预处理相结合,不仅可以生产出高质量的小浆果干燥产品,还可以通过减少水污染、减少碳排放和有效利用能源来提高过程的可持续性。然而,如何在小浆果加工过程中平衡干燥效率、产品质量和能耗仍然是一个关键的瓶颈。在未来,人工智能的实时控制和过程优化的集成被认为是实现高效、智能和可持续的小浆果干燥系统的有希望的途径。
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引用次数: 0
Guided and programmable nuclease-based biosensing in food safety, quality, and authenticity detection: A comparative analysis of recent developments 引导和可编程的基于核酸酶的生物传感在食品安全,质量和真实性检测:最近发展的比较分析
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2025-12-29 DOI: 10.1016/j.tifs.2025.105522
Xinyue Li , Yongpo Mao , Yuhan Tian , Jiajing Qiao , Ruibo Zhao , Weipan Peng , Shuli Man , Zhixian Gao , Long Ma

Background

Food safety, quality, and authenticity are crucial to global public health and economic concerns. Traditional detection methods often suffer from being time-consuming, requiring extensive laboratory infrastructure, and being unsuitable for rapid, on-site screening, thus creating a significant unmet need. As such, there is a pressing demand for innovative recognition elements, as well as signal transduction and amplification modules to enable effective biosensing for food safety hazards. Recently, guided and programmable nucleases, such as CRISPR/Cas and Argonaute, have been repurposed for detecting food safety, quality, and authenticity issues, showing great potential as next-generation tools for food detection.

Scope and approach

This review offers a comparative analysis of the molecular mechanisms and unique characteristics of CRISPR/Cas and Argonaute systems. It highlights their application performance in detecting various foodborne hazards (such as bacteria, viruses, residues, toxins, and allergens), quality indicators (such as freshness and spoilage), and authenticity markers. Furthermore, the integration of these nucleases with advanced biosensors, nanotechnology, and other cutting-edge techniques is discussed. The review concludes by outlining the current challenges, proposed solutions, and future directions.

Key findings and conclusions

The comparative analysis of CRISPR/Cas and Argonaute systems highlights their strong potential in addressing key challenges in food safety, quality, and authenticity detection. These challenges include interference from food matrices, insufficient sensitivity for low-abundance targets, and the lack of multiplexed, rapid, on-site detection platforms. Continued research and development are necessary to fully realize the capabilities of these systems and enable integrated solutions for comprehensive food monitoring.
食品安全、质量和真实性对全球公共卫生和经济问题至关重要。传统的检测方法往往耗时,需要广泛的实验室基础设施,并且不适合快速的现场筛查,因此产生了大量未满足的需求。因此,迫切需要创新的识别元件,以及信号转导和放大模块,以实现对食品安全危害的有效生物传感。最近,引导和可编程核酸酶,如CRISPR/Cas和Argonaute,已被重新用于检测食品安全、质量和真实性问题,显示出作为下一代食品检测工具的巨大潜力。本文对CRISPR/Cas和Argonaute系统的分子机制和独特特性进行了比较分析。它强调了它们在检测各种食源性危害(如细菌、病毒、残留物、毒素和过敏原)、质量指标(如新鲜度和腐败度)和真实性标记方面的应用性能。此外,还讨论了这些核酸酶与先进生物传感器、纳米技术和其他尖端技术的集成。报告最后概述了当前的挑战、提出的解决方案和未来的方向。CRISPR/Cas系统与Argonaute系统的对比分析突出了它们在解决食品安全、质量和真实性检测方面的关键挑战方面的强大潜力。这些挑战包括来自食物基质的干扰,对低丰度目标的灵敏度不足,以及缺乏多路、快速、现场检测平台。为了充分实现这些系统的功能,并为全面的食品监测提供综合解决方案,有必要继续进行研究和开发。
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引用次数: 0
FAIR chemosensory data: Unlocking AI for flavour, food and health 公平化学感官数据:解锁AI风味,食品和健康
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2026-03-01 Epub Date: 2026-01-03 DOI: 10.1016/j.tifs.2026.105545
Valentina Parma , Joel D. Mainland , Liang-Dar Hwang , Richard J. Kedziora , Nicolas Pineau , Richard C. Gerkin , Masha Y. Niv
Despite its profound relevance to food choice and consumption, nutrition, food safety and public health chemosensory science lags other scientific fields in data sharing, standardization and infrastructure. This gap has real consequences: lack of (shared) data, as well as fragmented datasets, prevent cumulative progress, hinder cross-organizational validation, and limit the development of predictive models that could revolutionize food and consumer science, personalized nutrition, clinical diagnostics and beyond. Groundbreaking scientific breakthroughs emerged in recent years through the combination of advancements in artificial intelligence algorithms and access to large-scale, high-quality and well-organized data. Without this foundation, the chemosensory field risks falling further behind, unable to leverage the transformative potential of AI that is revolutionizing protein structure prediction, drug-discovery, genomic interpretation, medical diagnostics, and other domains. In this commentary we highlight inspiring examples from other fields, acknowledge the state of the art in chemosensory data organization efforts, and outline steps towards the Findable, Accessible, Interoperable, and Reusable (FAIR) principles adoption in chemosensory science. Finally, we envision federated learning scenarios suitable for confidentiality-preserving collaboration with industry and extend an invitation to share raw data from already published academic studies via the “ChemoSensoryData” community in Zenodo.
尽管化学感官科学与食品选择和消费、营养、食品安全和公共卫生有着深刻的相关性,但它在数据共享、标准化和基础设施方面落后于其他科学领域。这一差距产生了切实的后果:缺乏(共享)数据以及支离破碎的数据集,阻碍了累积进展,阻碍了跨组织验证,并限制了预测模型的发展,而预测模型可能会给食品和消费者科学、个性化营养、临床诊断等领域带来革命性的变化。近年来,人工智能算法的进步与大规模、高质量和组织良好的数据的获取相结合,出现了突破性的科学突破。没有这个基础,化学感觉领域可能会进一步落后,无法利用人工智能的变革潜力,人工智能正在彻底改变蛋白质结构预测、药物发现、基因组解释、医学诊断和其他领域。在这篇评论中,我们强调了来自其他领域的鼓舞人心的例子,承认化学感觉数据组织工作的最新进展,并概述了在化学感觉科学中采用可查找、可访问、可互操作和可重用(FAIR)原则的步骤。最后,我们设想了适合于与工业界进行保密合作的联邦学习场景,并邀请大家通过Zenodo的“ChemoSensoryData”社区分享已经发表的学术研究的原始数据。
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引用次数: 0
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Trends in Food Science & Technology
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