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Advances of personalized color in food 3D-printing: insight of natural pigments and structural color 食品3d打印个性化色彩研究进展:洞察天然色素与结构色
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-28 DOI: 10.1016/j.tifs.2025.105412
Jiahao Yu , Manman Chen , Rongheng Chen , Catherine M.G.C. Renard

Background

The growing consumer interest in personalized food and nutrition is fueling the expansion of food 3D-printing. Color, a key factor in personalized food design, remains a major challenge for 3D-printing in the food industry. Printed food color typically comes from natural pigments. Structural color also appears in printed products and shows great potential in food coloring.

Scope and approach

A timely summary of 3D-printed color quality derived from natural pigments and structural colors is systematically presented. 3D-printing materials and systems for encapsulating natural pigments, printing properties, printing methods, stimulus response characteristics and applications are discussed. In addition, the article summarizes the recent achievements in 3D-printing structural color from cellulose-based cholesteric liquid crystals, including cellulose nanocrystal and hydroxypropyl cellulose (HPC) photonic materials along with the faced challenges and trends.

Key findings and conclusions

Natural pigments need to be encapsulated within suitable carrier systems before or during the 3D-printing process to enhance their stability and bioaccessibility. Encapsulation systems for 3D-printing need exhibit shear-thinning properties and sufficient mechanical strength. HPC is an ideal candidate for introducing structural color into food 3D-printing, and the structural color can be adjusted by changing concentrations, processing conditions and additives. Stimulus response characteristics of natural pigments and cellulose-based liquid crystal after 3D-printing can be applied to intelligent food packaging. Key aspects for future food color 3D-printing technology include developing novel food-grade printing materials and encapsulation systems, enhancing cellulose-based liquid crystal structural color with natural pigments, advancing structural color and full-color food 3D-printing, and promoting composite color modes.
消费者对个性化食品和营养的兴趣日益浓厚,这推动了食品3d打印的扩张。色彩是个性化食品设计的关键因素,也是食品行业3d打印面临的主要挑战。印刷食品颜色通常来自天然色素。结构色也出现在印刷产品中,并在食品着色中显示出巨大的潜力。范围和方法及时总结了来自天然色素和结构色的3d打印颜色质量。讨论了用于封装天然色素的3d打印材料和系统、打印性能、打印方法、刺激响应特性和应用。此外,综述了纤维素基胆甾液晶(包括纤维素纳米晶和羟丙基纤维素(HPC)光子材料)3d打印结构色的最新进展,以及面临的挑战和发展趋势。在3d打印之前或过程中,天然色素需要被封装在合适的载体系统中,以提高其稳定性和生物可及性。用于3d打印的封装系统需要具有剪切减薄性能和足够的机械强度。HPC是将结构色引入食品3d打印的理想选择,结构色可以通过改变浓度、加工条件和添加剂来调整。3d打印后的天然色素和纤维素基液晶的刺激响应特性可应用于智能食品包装。未来食品彩色3d打印技术的关键方面包括开发新型食品级打印材料和封装系统,用天然色素增强纤维素基液晶结构色,推进结构色和全彩食品3d打印,以及推广复合色模式。
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引用次数: 0
Cold plasma in spice safety: Microbiological, quality, and industrial perspectives 冷等离子体在香料安全中的应用:微生物学、质量和工业前景
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-28 DOI: 10.1016/j.tifs.2025.105404
Neha Tanwar , Saroat Rawdkuen , Subhash V. Pawde

Background

Cold plasma (CP) is a promising non-thermal decontamination technology that inactivates microorganisms and mycotoxins while preserving nutritional and sensory quality of food. Its application to high-value, export-oriented spices offers significant potential where safety, minimal processing, and quality retention are critical. However, despite extensive research on cold plasma technology, technical, regulatory, and consumer-related barriers continue to restrict large-scale adoption.

Scope and approach

This review integrates advances in CP for spice decontamination and quality retention, covering antimicrobial efficacy, mycotoxin mitigation, physicochemical and sensory impacts, and scalability. It highlights mechanistic insights into reactive species, UV photons, and electric fields, and compiles evidences from spices such as red chilli, Byadagi chilli, black pepper, turmeric, saffron, and cumin. Tabulated summaries present contamination patterns, underlying plasma mechanisms of microbial inactivation, treatment parameters, and quality outcomes. Knowledge gaps and challenges are outlined with a roadmap for targeted, spice-specific CP research.

Key findings and conclusions

Optimized CP treatments effectively reduce microbes and mycotoxins and may enhance aroma and dry matter, though overexposure can degrade nutrients and volatiles. Adoption is hindered by safety concerns, regulatory gaps, cost-economics, and reliance on small-scale trials. Progress requires spice-specific studies, standardized protocols, scalable designs, toxicological validation, and industrial feasibility assessments. It should also align with sensory validation, consumer communication, and international standards for sustainable commercialization.
冷等离子体(CP)是一种很有前途的非热去污技术,它可以灭活微生物和真菌毒素,同时保持食品的营养和感官质量。它在高价值、出口导向的香料上的应用提供了巨大的潜力,因为安全、最少加工和质量保持是至关重要的。然而,尽管对冷等离子体技术进行了广泛的研究,但技术、监管和消费者相关的障碍仍然限制了大规模采用。本综述综述了CP在香料去污和质量保持方面的进展,包括抗菌功效、真菌毒素缓解、物理化学和感官影响以及可扩展性。它强调了对反应物质、紫外线光子和电场的机械见解,并收集了来自红辣椒、Byadagi辣椒、黑胡椒、姜黄、藏红花和孜然等香料的证据。表格总结了污染模式、潜在的血浆微生物失活机制、处理参数和质量结果。知识差距和挑战概述了有针对性的,特定香料CP研究的路线图。优化后的CP处理可有效减少微生物和真菌毒素,并可增强香气和干物质,但过度暴露会降低营养物质和挥发物。由于安全问题、监管缺口、成本经济以及对小规模试验的依赖,这种方法的采用受到阻碍。进展需要特定香料的研究、标准化方案、可扩展设计、毒理学验证和工业可行性评估。它还应与感官验证、消费者沟通以及可持续商业化的国际标准保持一致。
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引用次数: 0
Alternative protein and microbial food production with Yarrowia lipolytica: precision, biomass and traditional fermentation strategies 用解脂耶氏菌生产替代蛋白质和微生物食品:精度、生物量和传统发酵策略
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-27 DOI: 10.1016/j.tifs.2025.105407
Mengyao Lu , Piotr Hapeta , Rodrigo Ledesma-Amaro

Background

With the rapid growth of the global population, humanity is expected to face significant challenges by 2050, such as food crises, resource shortages, and climate change. The emergence of cellular agriculture not only offers promising solutions to these issues and enhances animal welfare but also provides a sustainable, healthy, and safe approach for the development of future food systems. Precision fermentation, which utilizes microorganisms as cellular factories to produce high-value functional products, plays a pivotal role in the field of cellular agriculture. Additionally, with the increasing demand for high-quality protein-containing food, identifying alternative food sources is essential. Production of alternative proteins via fermentation results in the smallest carbon footprint and generates more stable products, attracting significant interest from both academia and the food industry.

Scope and approach

This review discusses the production of alternative proteins in Yarrowia lipolytica via fermentation. It addresses the advantages of using Y. lipolytica as a protein production platform, improvements in production through fermentation strategies, examples of expressed proteins from literature and patents, and the current regulatory aspects and social considerations.

Key findings and conclusions

Y. lipolytica have a safe usage status, a capacity to utilize various feedstocks, and unique advantages in protein production. Through precision fermentation, specific proteins can be produced, and at scale production can be achieved with appropriate parameter optimization. Additionally, Y. lipolytica is expected to play a critical role in the field of food fermentation due to its rich nutritional profile and desirable organoleptic properties. It not only provides a valuable source of alternative proteins but also improves food flavours, enriches nutritional value, and facilitates the development of new functional foods, thus broadening the scope for future food innovation.
随着全球人口的快速增长,预计到2050年,人类将面临粮食危机、资源短缺和气候变化等重大挑战。细胞农业的出现不仅为这些问题提供了有希望的解决方案,提高了动物福利,而且为未来粮食系统的发展提供了可持续、健康和安全的方法。精密发酵利用微生物作为细胞工厂生产高价值功能性产品,在细胞农业领域占有举足轻重的地位。此外,随着对高质量含蛋白质食物的需求不断增加,确定替代食物来源至关重要。通过发酵生产替代蛋白质的碳足迹最小,并产生更稳定的产品,吸引了学术界和食品行业的极大兴趣。范围和方法本文综述了脂解耶氏菌发酵生产替代蛋白的方法。它解决了使用脂质体酵母作为蛋白质生产平台的优势,通过发酵策略改进生产,从文献和专利中表达蛋白的例子,以及当前的监管方面和社会考虑。主要发现和结论。脂质体具有安全的使用状况、多种原料的利用能力以及在蛋白质生产中的独特优势。通过精密发酵,可以生产出特定的蛋白质,并通过适当的参数优化可以实现规模化生产。此外,由于其丰富的营养成分和理想的感官特性,脂肪酶有望在食品发酵领域发挥关键作用。它不仅提供了替代蛋白质的宝贵来源,而且还改善了食品风味,丰富了营养价值,促进了新功能食品的开发,从而拓宽了未来食品创新的范围。
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引用次数: 0
Pattern recognition in instrumental data analysis of fruit spirits: current status and future perspectives 果酒仪器数据分析中的模式识别:现状与展望
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-27 DOI: 10.1016/j.tifs.2025.105405
Hilthon Alves Ramos , Valdiênia Mendes Aguiar , David Douglas de Sousa Fernandes , Germano Veras

Background

Fruit spirits (FS) are distilled beverages produced in all parts of the world for local consumption, basically, of significant cultural value for regions or ethnic groups. The studies about FS are important because they preserve the traditions of local cultures and guarantee the quality of these products. Factors such as fruit variety, pH, fermentation and distillation practices, and storage conditions profoundly shape their chemical complexity. The growing appreciation for products with geographical identity and the absence of official data on artisanal production, however, has raised concerns regarding fraud, which may involve adulteration with industrial ethanol and the misrepresentation of origin, affecting both the regional culture, including economic effects, and public health. The uses of chemometric models, treatment of multivariate data, obtained by instrumental analytical techniques has emerged as the most promising approach to enhance traceability, protect geographical indications, and maintain consistent quality standards.

Scope and approach

This review examines the current state of chemometric strategies in instrumental analysis data used to authenticate, classify, and identify FS. This paper examines the application of classical statistical methods (PCA, LDA, PLS-DA) and advanced Machine Learning (ML) algorithms, including SVM and ANN, to identify complex patterns and develop robust predictive models. The analytical techniques used to obtain the data were produced by high-resolution chromatographic techniques (GC-MS), Infrared with Mass Spectrometry (IRMS), Inductively Coupled Plasma com Mass Spectrometry (ICP/MS), and Raman Spectroscopy.

Key findings and conclusions

The results demonstrate that the application of chemometric models in instrumental analytical data are important for deciphering the chemical complexity of the FS matrix. Techniques like GC-MS provide high resolution for volatiles, the integration of multi-signal data such as IRMS, ICP/MS, and vibrational spectroscopies offer greater predictive power for traceability. ML algorithms enhance quality control and authentication, providing accuracy and reliability in systems marked by high variability. The future direction points toward the consolidation of omics studies and the development of real-time predictive models that protect the terroir and authenticity of fruit spirits.
果酒(FS)是世界各地生产的供当地消费的蒸馏饮料,基本上对地区或民族具有重要的文化价值。对FS的研究具有重要意义,因为它保留了当地文化的传统,保证了这些产品的质量。诸如水果品种、pH值、发酵和蒸馏实践以及储存条件等因素深刻地塑造了它们的化学复杂性。然而,人们越来越重视具有地理特征的产品,而且缺乏关于手工生产的官方数据,这引起了人们对欺诈行为的关注,其中可能涉及掺入工业乙醇和谎报原产地,从而影响到区域文化(包括经济影响)和公众健康。使用化学计量模型,处理由仪器分析技术获得的多变量数据,已成为加强可追溯性、保护地理标志和保持一致质量标准的最有希望的方法。范围和方法这篇综述检查了化学计量学策略在仪器分析数据中用于鉴定、分类和识别FS的现状。本文探讨了经典统计方法(PCA, LDA, PLS-DA)和先进的机器学习(ML)算法(包括SVM和ANN)在识别复杂模式和开发鲁棒预测模型方面的应用。采用高分辨率色谱技术(GC-MS)、红外质谱法(IRMS)、电感耦合等离子体质谱法(ICP/MS)和拉曼光谱法获得数据。结果表明,化学计量模型在仪器分析数据中的应用对于破译FS矩阵的化学复杂性是重要的。像GC-MS这样的技术为挥发物提供了高分辨率,IRMS、ICP/MS和振动光谱等多信号数据的集成为可追溯性提供了更大的预测能力。机器学习算法增强了质量控制和认证,在高可变性的系统中提供准确性和可靠性。未来的研究方向是加强组学研究和开发实时预测模型,以保护果酒的风土和真实性。
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引用次数: 0
Sustainable food packaging: Life cycle assessment, recycling innovations, and Pestalotiopsis microspora in biodegradable solutions 可持续食品包装:生命周期评估、回收创新和可生物降解解决方案中的小孢子拟盘多毛菌
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-27 DOI: 10.1016/j.tifs.2025.105400
Muhammad Bilal , Muhammad Arslan , Suliman Khan , Jiyong Shi , Zhihua Li , Yemin Guo , Xia Sun , Zou Xiaobo

Background

The growing demand for sustainable food packaging is driven by environmental concerns, including pollution, waste, and resource conservation. Innovations in packaging materials, recycling systems, and circular economy models are critical for reducing the food industry's environmental footprint. Life Cycle Assessment (LCA) serves as a key tool in evaluating packaging sustainability, promoting recyclable, biodegradable, and compostable alternatives.

Scope and approach

This review critically examines advancements in sustainable food packaging with a focus on: (1) the application of LCA to assess environmental impacts of food packaging, (2) novel recycling innovations and the integration of circular economy principles, and (3) the potential of Pestalotiopsis microspora, in developing biodegradable packaging solutions.

Key findings and conclusions

While progress in sustainable packaging is notable, challenges such as technological limitations, economic barriers, and consumer behavior persist. Innovations in recycling systems, circular design, and regulatory frameworks are crucial for driving environmental benefits. Pestalotiopsis microspora, a fungus capable of degrading polyurethane plastics, presents a promising solution for creating biodegradable packaging. However, challenges related to scalability, regulatory approval, and performance remain. The integration of fungal-based solutions could play a pivotal role in advancing a circular packaging economy and achieving sustainability targets. This review emphasizes the novel contribution of incorporating Pestalotiopsis microspore, as an innovative biotechnological approach, which could revolutionize the future of sustainable food packaging.
对可持续食品包装日益增长的需求是由环境问题驱动的,包括污染、浪费和资源保护。包装材料、回收系统和循环经济模式的创新对于减少食品行业的环境足迹至关重要。生命周期评估(LCA)是评估包装可持续性、促进可回收、可生物降解和可堆肥替代品的关键工具。本文综述了可持续食品包装的研究进展,重点关注:(1)LCA在食品包装环境影响评估中的应用;(2)新型循环创新和循环经济原则的整合;(3)小孢子拟盘多毛孢在开发可生物降解包装解决方案中的潜力。虽然可持续包装取得了显著进展,但技术限制、经济壁垒和消费者行为等挑战依然存在。回收系统、循环设计和监管框架的创新对于推动环境效益至关重要。拟盘多毛孢小孢子菌是一种能够降解聚氨酯塑料的真菌,它为制造可生物降解的包装提供了一个很有前途的解决方案。然而,与可伸缩性、监管审批和性能相关的挑战仍然存在。基于真菌的解决方案的整合可以在推进循环包装经济和实现可持续发展目标方面发挥关键作用。这篇综述强调了拟盘多毛孢小孢子作为一种创新的生物技术方法的新贡献,它可以彻底改变可持续食品包装的未来。
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引用次数: 0
Marine algae and cyanobacteria in dairy fortification: a systematic review of technological, nutritional and sensory attributes 海洋藻类和蓝藻在乳制品强化:技术,营养和感官属性的系统综述
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-27 DOI: 10.1016/j.tifs.2025.105406
Júlia B. Sousa , Gabriela B. Brito , Carolina P.C. Martins , Mônica M. Pagani , Sérgio B. Mano , Eliane T. Mársico , Mônica Q. Freitas , Adriano G. Cruz , Erick A. Esmerino

Background

The increasing global interest in functional and sustainable foods has led to a growing focus on marine algae and cyanobacteria as a source of valuable compounds. Within the dairy industry, their incorporation offers a promising strategy to enhance nutritional and functional profiles, while addressing consumer demand for innovative products.

Scope and approach

This review aimed to systematically examine and critically evaluate the technological, nutritional, and sensory effects resulting from the incorporation of marine algae and cyanobacteria into dairy matrices. A comprehensive search was performed across major scientific databases, focusing on peer-reviewed studies published within the last five years.

Key findings and conclusion

The review revealed significant physicochemical and nutritional enhancements in fortified dairy products, including improved viscosity, emulsion stability, moisture retention, and notable increases in protein, fiber, mineral, and bioactive compound content. Consumer sensory acceptance was generally favorable at moderate inclusion levels, although higher concentrations often led to undesirable changes in color, flavor, and aroma. In conclusion, the strategic integration of these microorganisms provides a viable pathway for developing high-value functional dairy foods. Future research should prioritize human clinical trials and in vivo studies to conclusively demonstrate the functional and health benefits of consuming algae-fortified dairy products, and focus on optimizing formulations to enhance consumer sensory acceptance.
随着全球对功能性和可持续食品的兴趣日益浓厚,人们越来越关注作为有价值化合物来源的海藻和蓝藻。在乳制品行业,他们的合并提供了一个有前途的战略,以提高营养和功能概况,同时满足消费者对创新产品的需求。范围和方法本综述旨在系统地检查和批判性地评估将海藻和蓝藻纳入乳制品基质所产生的技术、营养和感官效应。在主要的科学数据库中进行了全面的搜索,重点是在过去五年内发表的同行评审研究。主要发现和结论:该综述揭示了强化乳制品在物理化学和营养方面的显著增强,包括粘度、乳液稳定性、保湿性的改善,以及蛋白质、纤维、矿物质和生物活性化合物含量的显著增加。消费者的感官接受通常是有利的,在适度的包含水平,虽然较高的浓度往往导致不良的变化,颜色,味道和香气。综上所述,这些微生物的战略性整合为开发高价值功能性乳制品提供了一条可行的途径。未来的研究应优先考虑人体临床试验和体内研究,以最终证明食用藻类强化乳制品的功能和健康益处,并专注于优化配方,以提高消费者的感官接受度。
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引用次数: 0
Emerging trends in plant-based yogurt: Novel raw materials, bio-functionality, stability, and sustainability perspectives – A review 植物性酸奶的新趋势:新原料、生物功能、稳定性和可持续性观点综述
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-25 DOI: 10.1016/j.tifs.2025.105402
Payel Dhar , Gaurav Sanghvi , Rattan Singh , Rangaswamy Roopashree , Abhijit Bhowmik , Minaxi Sharma , Prakash Kumar Nayak , Pinku Chandra Nath , Kandi Sridhar

Background

The increasing consumer demand for plant-based dairy alternatives has led to a surge in the availability of these products in the market. “Yogurt”, a widely consumed dairy product, offers various health benefits. However, concerns related to sustainability, milk allergies, and lactose intolerance have driven the growing preference for plant-based “yogurt” (PBY) over traditional milk-based yogurt (MBY).

Scope and approach

This review explores the current state of PBY research, focusing on product quality, nutritional composition, and processing methods. It highlights the challenges associated with PBY production and discusses potential future directions for enhancing its quality and consumer acceptance. Also, analyse the factors influencing the texture, flavour, and nutritional profile of PBY, particularly the role of plant protein gelation and fermentation. It also seeks to identify gaps in current research and propose strategies for improving PBY formulations.

Key findings and conclusions

PBY offers distinct nutritional benefits over MBY, such as a higher content of unsaturated fatty acids and lower cholesterol levels. However, achieving the desired taste and texture remains a challenge. Additionally, concerns regarding anti-nutritional compounds and nutritional imbalances in some plant sources must be addressed to enhance product acceptability. Further research should focus on diversifying raw materials, incorporating advanced processing technologies, optimizing sensory attributes, improving nutritional quality, and exploring gelation mechanisms. Innovations in strain selection and functional health studies will contribute to the development of sustainable, high-quality PBY products.
消费者对植物性乳制品替代品的需求不断增加,导致这些产品在市场上的可用性激增。“酸奶”是一种广泛消费的乳制品,对健康有多种益处。然而,对可持续性、牛奶过敏和乳糖不耐症的担忧促使人们越来越喜欢植物性酸奶(PBY),而不是传统的牛奶酸奶(MBY)。本文综述了PBY的研究现状,重点是产品质量、营养成分和加工方法。它强调了与PBY生产相关的挑战,并讨论了提高其质量和消费者接受度的潜在未来方向。分析了影响PBY质构、风味和营养成分的因素,特别是植物蛋白凝胶化和发酵的作用。它还设法查明目前研究中的差距,并提出改进PBY配方的战略。与MBY相比,spby具有明显的营养价值,例如不饱和脂肪酸含量更高,胆固醇水平更低。然而,实现理想的口感和质地仍然是一个挑战。此外,必须解决一些植物来源中的抗营养化合物和营养不平衡问题,以提高产品的可接受性。进一步的研究应着眼于原料的多样化、先进加工技术的融合、感官属性的优化、营养品质的提高以及凝胶机制的探索。菌种选择和功能健康研究的创新将有助于开发可持续的高质量PBY产品。
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引用次数: 0
Advances in screening of saltiness-enhancing odorants: Transitioning from conventional sensory evaluation to intelligent high-throughput techniques 咸味增强气味剂筛选的进展:从传统的感官评价到智能高通量技术的过渡
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-25 DOI: 10.1016/j.tifs.2025.105397
Qinguo Quan , Kun Zhao , Zikang Xu , Yiyang Li , Yuhan Xie , Fengyu Li , Baoguo Sun , Dandan Pu

Background

Odor-induced saltiness enhancement (OISE) produces a 20.00–35.00 % increase perceived saltiness in sodium-reduced systems. However, traditional screening methods identify fewer than 120 saltiness-enhancing odorants (SEO) (<120) because they are slow and prone to panelist bias.

Scope and approach

This review critically examines the transition from conventional sensory evaluation to intelligent, high-throughput SEO screening, assessing machine-learning-driven prediction, multimodal sensor fusion, and microfluidic platforms while identifying critical knowledge gaps.

Key findings and conclusions

Intelligent technologies achieve 10- to 100-fold cost reductions through deep learning architectures that integrate molecular descriptors with receptor activation patterns. However, dataset heterogeneity limits generalizability, and no framework exists for predicting matrix-specific SEO efficacy. We propose a three-tier conceptual framework encompassing molecular, neural, and application levels that integrates computational docking, biosensor validation, and AI-guided formulation. Priority directions include standardized databases, explainable AI algorithms, and personalized strategies addressing genetic and cultural variability. These innovations transform empirical screening into mechanistic prediction, enabling industrial sodium reduction while preserving palatability.
背景:在钠还原系统中,dodo诱导的咸味增强(OISE)会使感知咸味增加20.00 - 35.00%。然而,传统的筛选方法识别不到120盐增强气味(SEO) (<120),因为它们是缓慢的,容易产生小组成员偏见。这篇综述批判性地审视了从传统感官评估到智能、高通量SEO筛选的转变,评估机器学习驱动的预测、多模态传感器融合和微流控平台,同时确定关键的知识差距。通过将分子描述符与受体激活模式相结合的深度学习架构,智能技术的成本降低了10到100倍。然而,数据集的异质性限制了可泛化性,并且不存在预测矩阵特定SEO效果的框架。我们提出了一个包含分子、神经和应用层面的三层概念框架,该框架集成了计算对接、生物传感器验证和人工智能指导的配方。优先方向包括标准化数据库、可解释的人工智能算法以及针对遗传和文化差异的个性化策略。这些创新将经验筛选转化为机制预测,使工业钠减少,同时保持适口性。
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引用次数: 0
Fermentation-driven bioactive enhancement in cereal grains: Mechanisms, nutritional improvements, and functional food applications 谷物中发酵驱动的生物活性增强:机制、营养改善和功能性食品应用
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-25 DOI: 10.1016/j.tifs.2025.105403
Priyanka Arya , Devina Vaidya , Sunita Devi , Manisha Kaushal , Htet Myathtwe , Diksha Devi , Anil Gupta

Background

Fermentation is an ancient bioprocess that has gained renewed attention for its ability to enhance the nutritional, functional, and sensory properties of cereals and millets. By transforming macronutrients and unlocking bioactive compounds, it provides a sustainable approach to developing functional foods with health-promoting potential.

Scope and approach

This review critically examines the biochemical and microbiological mechanisms through which fermentation improves the bioactive profile of cereal-based foods. Key processes discussed include enzymatic hydrolysis, microbial biotransformation of phenolics, proteolytic release of bioactive peptides, and degradation of anti-nutritional factors. The roles of lactic acid bacteria (LAB), yeasts, and filamentous fungi are highlighted, along with comparisons between submerged fermentation (SmF) and solid-state fermentation (SSF).

Key findings and conclusions

Fermentation enhances bioavailability of phenolics, enriches vitamins and bioactive peptides, and reduces phytates, tannins, and oxalates, thereby improving both nutrition and digestibility. SSF demonstrates superior potential for sustained enzymatic activity and phenolic enrichment, while SmF favors soluble nutrient enhancement. Strain-specific microbes such as Lactobacillus plantarum, Saccharomyces cerevisiae, and Penicillium citrinum drive targeted nutritional improvements, and fermented cereals serve as effective carriers for probiotic delivery in non-dairy applications. Emerging hybrid technologies including pulsed electric field, ultrasound, and magnetic field-assisted fermentation technologies further improve bioactive recovery and sustainability. Nevertheless, challenges remain in process standardization, bioactive stability, and clinical validation. Future directions include the application of multi-omics tools, microbial engineering, and advanced delivery systems to unlock the full translational potential of cereal fermentation in functional food innovation.
发酵是一种古老的生物过程,由于其提高谷物和小米的营养、功能和感官特性的能力而重新受到关注。通过转化宏量营养素和释放生物活性化合物,它为开发具有促进健康潜力的功能食品提供了一种可持续的方法。范围和方法这篇综述批判性地探讨了通过发酵提高谷物食品生物活性的生化和微生物机制。讨论的关键过程包括酶水解、酚类物质的微生物转化、生物活性肽的蛋白水解释放和抗营养因子的降解。乳酸菌(LAB)、酵母菌和丝状真菌的作用被强调,以及水下发酵(SmF)和固态发酵(SSF)之间的比较。发酵提高了酚类物质的生物利用度,丰富了维生素和生物活性肽,减少了植酸盐、单宁酸和草酸盐,从而改善了营养和消化率。SSF表现出持续酶活性和酚富集的优势,而SmF则有利于可溶性营养物质的增强。植物乳杆菌、酿酒酵母菌和柑橘青霉等菌株特异性微生物驱动了有针对性的营养改善,发酵谷物是益生菌在非乳制品应用中的有效载体。新兴的混合技术包括脉冲电场、超声波和磁场辅助发酵技术,进一步提高了生物活性的恢复和可持续性。然而,在工艺标准化、生物活性稳定性和临床验证方面仍存在挑战。未来的发展方向包括多组学工具、微生物工程和先进的输送系统的应用,以释放谷物发酵在功能食品创新中的全部转化潜力。
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引用次数: 0
Integrated multi-modal flexible sensors and AI-driven fusion modeling for internal and external quality detection of agricultural products 农产品内外质量检测集成多模态柔性传感器与人工智能驱动融合建模
IF 15.4 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-10-25 DOI: 10.1016/j.tifs.2025.105401
Zongxian Wang , Chaoyang Jia , Weizhong He , Xiaoshuan Zhang , Huanhuan Feng

Background

Traditional quality detection are often limited by their inflexibility with rigid equipment, single modal accuracy, and internal and external quality separation evaluation. Recent advances in multi-modal flexible sensors and artificial intelligence (AI) technology offer a transformative approach, enabling non-destructive, continuous, and precise monitoring of internal and external quality attributes. These innovations are critical for optimizing quality management, reducing waste, and ensuring quality safety of agricultural products.

Scope and approach

This review systematically summarizes recent progress in multi-modal flexible sensors and AI-driven fusion modeling for agricultural quality detection. The recent studies on design, functionality, fabrication, and signal transmission of flexible sensors of monitoring micro-ambient and quality parameters are summarized. Additionally, this review highlights AI-based data fusion frameworks and their applications in evaluating internal and external quality attributes of agricultural products. Furthermore, the current challenges and future perspective are discussed to guide further research and practical deployment in quality detection of agricultural products.

Key findings and conclusions

The multi-modal flexible sensors and AI-driven fusion modeling offers substantial potential to advance quality detection in agriculture. These technologies enable real-time physical, chemical, and biological monitoring, greatly improving the accuracy, reliability, and traceability of quality assessment throughout the supply chain. AI algorithms further enhance data interpretation by uncovering complex correlations and predicting quality evolution trends. These will drive the transformation of agricultural product quality detection toward greater intelligence and precision.
传统的质量检测由于设备刚性、精度单模态、内外质量分离评价等问题而缺乏灵活性。多模态柔性传感器和人工智能(AI)技术的最新进展提供了一种变革性的方法,可以对内部和外部质量属性进行无损、连续和精确的监测。这些创新对于优化质量管理、减少浪费、确保农产品质量安全至关重要。本文系统总结了农业质量检测中多模态柔性传感器和人工智能驱动融合建模的最新进展。综述了近年来在微环境和质量参数监测柔性传感器的设计、功能、制造和信号传输等方面的研究进展。此外,本文还重点介绍了基于人工智能的数据融合框架及其在农产品内部和外部质量属性评估中的应用。并对当前面临的挑战和未来的展望进行了探讨,以指导农产品质量检测的进一步研究和实践部署。多模态柔性传感器和人工智能驱动的融合建模为推进农业质量检测提供了巨大的潜力。这些技术实现了实时的物理、化学和生物监测,极大地提高了整个供应链质量评估的准确性、可靠性和可追溯性。人工智能算法通过揭示复杂的相关性和预测质量进化趋势进一步增强了数据解释。这将推动农产品质量检测向更智能、更精准的方向转变。
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引用次数: 0
期刊
Trends in Food Science & Technology
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