Journal of Agriculture and Food Research最新文献_第5页

How knowledge influences the purchase intention of generation Z toward genetically modified foods 知识如何影响Z世代对转基因食品的购买意愿

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102694

Thi Thuy An Ngo , Thi Ngoc Trang Le , Thi Yen Nhi Phan

Genetically modified (GM) foods continue to generate extensive public debate globally, particularly in emerging markets where consumer understanding remains limited and inconsistent. This study investigates how consumer knowledge influences perceptions, attitudes, and purchase intentions toward GM foods among Vietnamese Generation Z. Grounded in the Stimulus–Organism–Response (SOR) framework and informed by the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB), the study conceptualizes knowledge as an external stimulus that shapes cognitive evaluations and subsequent behavioral responses. Using a quantitative design, data were collected from 416 respondents and analyzed through partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. The results show that higher levels of knowledge significantly increase perceived benefits and reduce perceived risks, which subsequently shape consumer attitude. Perceived benefits exert a notably stronger influence on attitude than perceived risks, and attitude further serves as a key predictor of purchase intention. The study also confirms the effects of the three components of TPB, indicating that purchase intention is strengthened when consumers hold a favorable attitude, perceive social approval, or feel confident in their ability to access and consume GM foods. The study also identifies key indirect pathways, showing that knowledge influences attitudes and purchase intentions primarily through perceived benefits, while risk-based pathways are not supported. These insights underscore the importance of transparent and evidence-based communication strategies that highlight the advantages of GM foods and address remaining concerns, thereby fostering more positive attitudes and stronger purchase intentions among Vietnamese Generation Z.

转基因食品继续在全球范围内引发广泛的公众辩论，特别是在消费者的理解仍然有限和不一致的新兴市场。本研究探讨消费者知识如何影响越南z世代对转基因食品的认知、态度和购买意愿。本研究以刺激-有机体-反应（SOR）框架为基础，以健康信念模型（HBM）和计划行为理论（TPB）为依据，将知识概念化为塑造认知评估和随后行为反应的外部刺激。采用定量设计，从416名受访者中收集数据，并使用SmartPLS 3.0通过偏最小二乘结构方程模型（PLS-SEM）进行分析。结果表明，较高的知识水平显著增加了感知利益，降低了感知风险，从而塑造了消费者的态度。感知利益对态度的影响显著强于感知风险，态度进一步成为购买意愿的关键预测因子。该研究还证实了TPB的三个组成部分的影响，表明当消费者持有良好的态度，感知到社会认可或对自己获得和消费转基因食品的能力有信心时，购买意愿会增强。该研究还确定了关键的间接途径，表明知识主要通过感知利益影响态度和购买意愿，而基于风险的途径不受支持。这些见解强调了透明和基于证据的传播策略的重要性，这些传播策略突出了转基因食品的优势，并解决了仍然存在的问题，从而在越南Z世代中培养更积极的态度和更强的购买意愿。

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引用次数: 0

Preparation, properties, and applications of bio-based antibacterial hydrogels: A review 生物基抗菌水凝胶的制备、性能及应用综述

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102687

Hongkun Xue , Yingqi Tang , Yuanbo Hu , Min Zha , Shaoqing Ge , Jiaqi Tan

Bacterial resistance caused by the abuse of antibiotics has become a major threat to global public health, which urgently requires the development of new antibacterial materials. Traditional antimicrobial materials can inhibit bacterial proliferation to some extent. Unfortunately, Traditional antibacterial materials require complex artificial modification and synthesis, which leads to potential difficulties in preparation, side effects, and clinical translation. Bio-based antibacterial hydrogels (BAHs), as natural antibacterial alternatives, are derived from renewable resources such as chitosan, cellulose, and alginate. Compared to conventional hydrogels, BAHs exhibit superior biocompatibility, biodegradability, and ease of functionalization. Hence, BAHs have shown broad application prospects in fields such as wound dressings and biomedicine. The review systematically summarizes the preparation strategies (physical cross-linking, chemical cross-linking, and graft polymerization techniques) of BAHs based on natural polymers (chitosan, cellulose, starch, protein, etc.). Moreover, the paper comprehensively reviews the properties (mechanical, rheological, injectable and self-healing, degradability, etc.) of BAHs and their applications in various fields, including wound dressings, drug delivery, packaging materials, adsorption materials, tissue engineering, biosensing, etc. This article aims to deepen the understanding of BAHs, optimize their synthesis strategies, and establish the important position of BAHs as the frontier platform for biomedical applications.

抗生素滥用引起的细菌耐药性已成为全球公共卫生的重大威胁，迫切需要开发新型抗菌材料。传统的抗菌材料能在一定程度上抑制细菌的增殖。不幸的是，传统抗菌材料需要复杂的人工修饰和合成，这导致了制备、副作用和临床翻译方面的潜在困难。生物基抗菌水凝胶（BAHs）是一种天然的抗菌替代品，主要来源于壳聚糖、纤维素和海藻酸盐等可再生资源。与传统的水凝胶相比，BAHs具有优越的生物相容性、生物降解性和易于功能化。因此，多环芳烃在伤口敷料、生物医学等领域具有广阔的应用前景。本文系统地综述了以壳聚糖、纤维素、淀粉、蛋白质等天然高分子为原料制备多环芳烃的方法，包括物理交联、化学交联和接枝聚合技术。综述了多环芳烃的力学性能、流变性、可注射自愈性、可降解性等特性及其在伤口敷料、给药、包装材料、吸附材料、组织工程、生物传感等领域的应用。本文旨在加深对环芳烃的认识，优化其合成策略，确立环芳烃作为生物医学应用前沿平台的重要地位。

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引用次数: 0

Assessment of crude protein in wheat kernels using SWIR hyperspectral imaging combined with deep learning-based segmentation 基于SWIR高光谱成像和深度学习分割的小麦籽粒粗蛋白质评价

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102679

Jae Gyeong Jung , Jin-Hyun Kim , Changsoo Kim , Donghwan Shim

Wheat crude protein content is a critical quality parameter for food processing, traditionally assessed using destructive chemical methods such as Kjeldahl or Dumas assays. While near-infrared (NIR) spectroscopy provides non-destructive analysis, its localized measurement approach limits throughput in large-scale applications. This study presents an integrated platform combining deep learning-based segmentation (YOLOv11) with hyperspectral imaging and Partial Least Squares Regression (PLSR) for rapid, non-destructive prediction of crude protein content in individual wheat kernels. We compared Visible and Near-Infrared (VNIR, 397–1004 nm) and Short-Wave Infrared (SWIR, 982–2577 nm) spectral regions for protein prediction. The YOLOv11 segmentation model achieved exceptional accuracy (F1 score >0.99) across both spectral ranges, enabling automated extraction of individual kernel spectra. Three preprocessing methods (SNV, MSC, and Savitzky-Golay) were systematically evaluated. The SWIR-based PLSR models consistently demonstrated superior generalization (all methods Q² > 0.84), achieving a peak performance of Test R² = 0.8725, RMSE = 0.7479, and Q² = 0.8738 (using MSC). Notably, Savitzky-Golay preprocessing offered the optimal model simplicity, reducing PLS components from 10 to 3 while maintaining robust generalization (Test R² = 0.8449, Q² = 0.8487). In sharp contrast, the best VNIR model only achieved a Test R² = 0.5750 (Q² = 0.5793). YOLOv11 exhibited approximately 2.57 times faster inference speed compared to YOLOv8, substantially improving applicability for high-throughput analysis. The integration of high-speed deep learning segmentation with SWIR hyperspectral imaging establishes a practical framework for non-destructive quality assessment in grain processing facilities, quality control laboratories, and automated raw material sorting systems.

小麦粗蛋白质含量是食品加工的关键质量参数，传统上使用凯氏定氮法或杜马斯法等破坏性化学方法进行评估。虽然近红外（NIR）光谱提供非破坏性分析，但其局部测量方法限制了大规模应用的吞吐量。该研究提出了一个将基于深度学习的分割（YOLOv11）与高光谱成像和偏最小二乘回归（PLSR）相结合的集成平台，用于快速、无损地预测小麦籽粒中粗蛋白质含量。我们比较了可见光和近红外（VNIR, 397-1004 nm）和短波红外（SWIR, 982-2577 nm）光谱区域对蛋白质的预测。YOLOv11分割模型在两个光谱范围内都取得了优异的精度（F1分数>；0.99），实现了单个核光谱的自动提取。系统评价了SNV、MSC和Savitzky-Golay三种预处理方法。基于swr的PLSR模型始终表现出优越的泛化（所有方法Q2 >； 0.84），达到测试R2 = 0.8725, RMSE = 0.7479和Q2 = 0.8738的峰值性能（使用MSC）。值得注意的是，Savitzky-Golay预处理提供了最优的模型简单性，将PLS成分从10个减少到3个，同时保持了鲁棒泛化（检验R2 = 0.8449, Q2 = 0.8487）。与之形成鲜明对比的是，最好的VNIR模型只达到了检验R2 = 0.5750 （Q2 = 0.5793）。与YOLOv8相比，YOLOv11的推理速度提高了约2.57倍，大大提高了高通量分析的适用性。高速深度学习分割与SWIR高光谱成像的集成为粮食加工设施、质量控制实验室和自动化原料分拣系统的无损质量评估建立了一个实用框架。

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引用次数: 0

Investigating the impact of the key processing stages on flavor components and lipid flavor formation of Tibetan dried pork slice 研究了关键加工阶段对藏式干猪肉片风味成分及脂质风味形成的影响

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102696

Xue Xiao , Huaying Chen , Xuehai Ge , Jiangping Fan , Liangyu Yang , Junhua Shao , Shijun Li , Changrong Ge , Zhichao Xiao

This study aimed to explore the aroma formation mechanism of Tibetan dried pork slice by investigating changes of their volatile compounds and lipid molecules across four key processing stages (mincing, seasoning, drying, and baking). E-nose analysis revealed significant differences in the odor profiles of dried pork slice at different processing stages. Furthermore, the drying and baking processes significantly enhanced the odor profiles of dried pork slice. The GC-IMS detected 61 volatile compounds, among which PLS-DA highlighted nine key contributors to the final flavor profile: ethyl 2-hydroxypropanoate-M, butanal, propanal, 3-methyl butanal, benzaldehyde, 1-nonanal, 1-hexanal-D, (Z)-2-pentenal, and 2-methylpyrazine. Additionally, the four processes significantly changed the content and composition of lipid molecules analyzed through LC-MS. Glycerolipids and phospholipids metabolism were identified as the primary metabolic pathway during the processing stages. Triglycerides (TG) and phosphatidylcholine (PC), such as TG (13:1/13:1/13:1), TG (17:0/18:1/18:1), TG (13:1/21:4/21:4), TG (12:0/12:0/19:3), TG (16:0/22:1/22:1), PC (18:4e/18:5) and PC (18:3/22:6), played a vital role in the generation of aroma compounds. Furthermore, the correlation between the lipid molecules and the key volatile compounds suggested the role of lipid oxidation, the Maillard reaction, as well as the interaction between these reactions in the aroma formation of dried pork slice. Therefore, this study provides the first evidence that lipid oxidation in the drying and baking stages is a critical factor in the aroma evolution of Tibetan dried pork slice. These findings provide a scientific basis for understanding the flavor formation mechanism and inform the development of optimized processing strategies for Tibetan dried pork slice.

本研究旨在通过研究藏肉干片在剁碎、调味、干燥和烘烤四个关键加工阶段挥发性化合物和脂质分子的变化，探讨藏肉干片的香气形成机制。电子鼻分析表明，不同加工阶段干猪肉片的气味特征存在显著差异。此外，干燥和烘烤过程显著增强了干猪肉片的气味特征。GC-IMS检测到61种挥发性化合物，其中PLS-DA突出了9种影响最终风味特征的关键化合物：2-羟丙酸乙酯-m、丁醛、丙醛、3-甲基丁醛、苯甲醛、1-壬醛、1-己醛- d、(Z)-2-戊烯醛和2-甲基吡嗪。此外，这四个过程显著改变了LC-MS分析的脂质分子的含量和组成。甘油脂和磷脂代谢被确定为加工阶段的主要代谢途径。甘油三酯（TG）和磷脂酰胆碱（PC），如TG（13:1/13:1/13:1）、TG（17:0/18:1/18:1）、TG（13:1/21:4/21:4）、TG（12:0/12:0/19:3）、TG（16:0/22:1/22:1）、PC （18:4e/18:5）和PC（18:3/22:6）在香气化合物的生成中起着至关重要的作用。此外，脂质分子与关键挥发性化合物之间的相关性表明，脂质氧化、美拉德反应以及这些反应之间的相互作用在干猪肉片香气形成中的作用。因此，本研究首次证明了干燥和烘烤阶段的脂质氧化是藏式干猪肉片香气演变的关键因素。这些研究结果为了解藏式干猪肉风味形成机制提供了科学依据，并为制定藏式干猪肉片的优化加工策略提供了依据。

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引用次数: 0

Predicting food security in Ethiopia using spatiotemporal integration of heterogeneous data 利用异构数据的时空整合预测埃塞俄比亚的粮食安全

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102674

Zigju Demissie , Yaregal Assabie , Tesfa Tegegne

Food insecurity is a complex challenge influenced by climatic, economic, agricultural, conflict-related, and socio-demographic factors. Data-driven decision-making is essential for designing targeted interventions and improving policies. This study presents spatiotemporal integration of heterogeneous datasets incorporating climate, crop production, food price, conflict, cross-border trade, exchange rate, and population growth for predicting food security in Ethiopia. All datasets were aligned using consistent region–month key and converted to a monthly resolution to preserve temporal relationships across regions. New variables, Food Price Index, Conflict Exposure Index, Climatic Vulnerability Index, and Market Accessibility Index, are derived through feature engineering and then included for predictive model development. Food Security Index (FSI) is the target variable, and preliminary results show that food insecurity is increasing in Ethiopia with distinct variations across regions. We used the stacking ensemble of statistical models, i.e., Random Forest (RF) and Extreme Gradient Boosting (XGBoost), and deep learning models, i.e., Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN), using LSTM as a Meta-learner. A strict time-based split (earlier months for training and later months for testing) is applied to prevent temporal information leakage. The proposed stacking model outperforms individual learners with smaller errors, i.e., MAE = 0.00201 and RMSE = 0.038, and a higher R², i.e., 0.96. This study proves that spatiotemporal integration of heterogeneous datasets with stacking ensemble model provides holistic and accurate prediction output. This approach is valuable and recommendable for policymakers and early warning systems for decision-making and policy improvement, over using statistical methods alone.

粮食不安全是一项复杂的挑战，受到气候、经济、农业、冲突相关和社会人口因素的影响。数据驱动的决策对于设计有针对性的干预措施和改进政策至关重要。本研究将气候、作物生产、粮食价格、冲突、跨境贸易、汇率和人口增长等异构数据集进行时空整合，用于预测埃塞俄比亚的粮食安全。所有数据集使用一致的区域-月键进行对齐，并转换为月分辨率，以保留区域间的时间关系。通过特征工程推导出食品价格指数、冲突暴露指数、气候脆弱性指数和市场可及性指数等新变量，并将其纳入预测模型开发。粮食安全指数（FSI）是目标变量，初步结果表明，埃塞俄比亚的粮食不安全状况正在加剧，各地区差异明显。我们使用了统计模型的堆叠集成，即随机森林（RF）和极端梯度增强（XGBoost），以及深度学习模型，即长短期记忆（LSTM）和卷积神经网络（CNN），使用LSTM作为元学习器。严格的基于时间的划分（前几个月用于培训，后几个月用于测试）用于防止临时信息泄漏。本文提出的叠加模型优于个体学习者，误差较小，MAE = 0.00201, RMSE = 0.038， R2较高，为0.96。研究证明，采用叠加集成模型对异构数据集进行时空集成，可以提供全面、准确的预测输出。这种方法对决策者和早期预警系统在决策和政策改进方面比单独使用统计方法更有价值，值得推荐。

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引用次数: 0

Eugenol-induced self-emulsification of gliadin-shellac hybrid composites for co-stabilization of vitamin K2 and D3 丁香酚诱导的麦胶蛋白-紫胶复合材料的自乳化协同稳定维生素K2和D3

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-17 DOI: 10.1016/j.jafr.2026.102688

Jiaxin Lin , Tao Wang , Ren Wang , Wei Feng , Xiaohu Luo , Kai Huang , Jian He

Vitamin K₂ (VK₂) and vitamin D₃ (VD₃) can synergistically promote calcium absorption and reduce the prevalence of osteoporosis. Given their hydrophobicity and environmental sensitivity, stabilizing both these vitamins is pivotal for their application. In this study, we designed shellac-gliadin composites (SGCs) with favorable amphiphilicity, yielding a self-emulsifying delivery system (SEDS) upon mild mixing with eugenol. By increasing eugenol/SGCs mass ratio, SEDS was transformed from spherical to a network-like structure, forming tunable topological nanostructures with tailorable delivery performance and bioavailability. Based on the dual-step process, VK₂ was encapsulated during shellac-gliadin assembly, while VD₃ was co-encapsulated via self-emulsification. The generated dual-vitamin self-emulsifying system (DSEDS) improved the stability under UV-light and long-term storage for both vitamins with high encapsulation capacities of 48.05 and 9.36 mg/g for VK₂ and VD₃, respectively. The dual-step strategy introduced a novel approach for loading various fat-soluble nutrients, with potential applications in food and nutrition industry.

维生素K2 （VK2）和维生素D3 （VD3）可以协同促进钙的吸收，减少骨质疏松症的患病率。考虑到它们的疏水性和环境敏感性，稳定这两种维生素对它们的应用至关重要。在这项研究中，我们设计了具有良好两亲性的紫胶-麦胶蛋白复合材料（SGCs），在与丁香酚轻度混合后产生自乳化递送系统（SEDS）。通过增加丁香酚/ sgc的质量比，SEDS从球形结构转变为网状结构，形成具有可调的拓扑纳米结构，具有可定制的递送性能和生物利用度。基于双步法，VK2在紫胶-麦胶蛋白组装过程中被封装，而VD3通过自乳化被共封装。所制备的双维生素自乳化体系（DSEDS）提高了两种维生素在紫外光和长期储存下的稳定性，VK2和VD3的包封量分别为48.05和9.36 mg/g。双步法为多种脂溶性营养素的加载提供了一种新的方法，在食品和营养工业中具有潜在的应用前景。

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引用次数: 0

Screening of low-nitrogen tolerant winter wheat cultivars: integrated evaluation from hydroponics to the field 耐低氮冬小麦品种筛选：从水培到田间的综合评价

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-16 DOI: 10.1016/j.jafr.2026.102675

Ning Li , Ye Ma , Mingze Zhang , Cunmeng Ye , Yujie Zhang , Meijun Zhang , Yugang Shi , Daizhen Sun , Jinwen Yang

The excessive application of nitrogen fertilizers has resulted in significant environmental pollution and economic losses while decreasing nitrogen use efficiency in wheat. This study comprehensively evaluated low-nitrogen (LN) tolerance across 77 winter wheat cultivars through integrated field trials and hydroponic experiments. Field assessments over two growing seasons evaluated eight yield-related traits under high-nitrogen (HN: 270 kg/ha) and LN (0 kg/ha) conditions, while hydroponic screening assessed ten seedling phenotypic parameters under HN (4 mmol/L) and LN (0.4 mmol/L) treatments. Principal component analysis and the membership function method were used to generate a comprehensive LN tolerance index (CLNTI), categorizing cultivars into four types: highly tolerant (HT), moderately tolerant, moderately sensitive, and highly sensitive (HS). A strong correlation was observed between field and hydroponic evaluations, with three cultivars consistently displaying HT characteristics. Under LN stress, all cultivars exhibited decreased plant height, flag leaf size, light utilization capacity, and nitrogen metabolism enzyme activities. However, HT cultivars maintained substantially higher physiological activity compared with HS cultivars, demonstrated by larger flag leaves, superior chlorophyll fluorescence parameters, and elevated relative chlorophyll content, along with enhanced activities of nitrate reductase, glutamine synthetase, and glutamate synthase. Notably, HT cultivars developed enhanced root architecture under LN condition, characterized by increased total root length, root surface area, and tip number—adaptations not observed in HS cultivars, which exhibited root trait reductions. These results indicate that HT wheat optimizes root morphology for nitrogen acquisition, maintains nitrogen assimilation enzyme activities, and sustains stable photosynthetic efficiency to minimize yield reduction.

氮肥过量施用不仅降低了小麦氮素利用效率，还造成了严重的环境污染和经济损失。通过田间综合试验和水培试验，对77个冬小麦品种的耐低氮性进行了综合评价。两个生长季节的田间评价评估了高氮（270 kg/ha）和低氮（0 kg/ha）条件下的8个产量相关性状，而水培筛选评估了高氮（4 mmol/L）和低氮（0.4 mmol/L）处理下的10个幼苗表型参数。利用主成分分析和隶属函数法，建立了耐LN综合指数（CLNTI），并将品种分为高耐（HT）、中耐（moderate tolerance）、中敏感（moderate sensitive）和高敏感（HS） 4类。田间评价和水培评价之间存在很强的相关性，三个品种一致表现出高温胁迫特征。LN胁迫下，各品种株高、旗叶大小、光利用能力和氮代谢酶活性均下降。然而，与HS品种相比，HT品种保持了更高的生理活性，表现为更大的旗叶、更好的叶绿素荧光参数、更高的相对叶绿素含量，以及硝酸盐还原酶、谷氨酰胺合成酶和谷氨酸合酶的活性增强。值得注意的是，高温栽培品种在低温条件下根系构型增强，根系总长度、根表面积和根尖数增加，而高温栽培品种的根系性状减少。这些结果表明，高温小麦通过优化根系形态来获取氮素，维持氮素同化酶的活性，维持稳定的光合效率，最大限度地减少产量。

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引用次数: 0

Identification of phosphofructokinase-1 as a target of Chinese olive fruit (Canarium album L.) extract in colorectal cancer cells: Mechanistic insights into cellular energy stress-induced apoptosis 磷酸果糖激酶-1作为中国橄榄果实提取物在结直肠癌细胞中的靶点的鉴定：细胞能量应激诱导凋亡的机制研究

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-16 DOI: 10.1016/j.jafr.2026.102684

Guan-Ting Lian , Chun-Wai Chan , Hsiu-Hsiang Lee , Yi-Chun Liao , Chen-Chung Liao , Shu-Chen Hsieh

Colorectal cancer (CRC) is a significant cause of global cancer mortality. While conventional chemotherapeutics or single-agent compounds can suppress tumor growth, their dose-limiting toxicities often erode patient survival and quality of life. Plant extracts offer a distinct therapeutic advantage, leveraging multi-targeted pathways with inherently lower toxicity profiles. Here, we report the multi-signal transduction pathway of Chinese olive extract (COE) mediated CRC apoptosis. COE selectively inhibits CRC cell growth, with GI₅₀ values significantly lower than in normal intestinal epithelial cells. Quantitative proteomics revealed COE-driven perturbations in cell cycle regulation, apoptosis, and metabolic reprogramming. Thermal proteome profiling and cellular thermal shift assay identified phosphofructokinase-1 (PFK1), a key glycolytic enzyme, as a direct molecular target of COE. Interrogation of The Cancer Genome Atlas data revealed that elevated PFK1 expression was linked to poorer CRC patient survival. Mechanistic studies demonstrated that COE suppresses PFK1 enzymatic activity, leading to cellular energy stress and activation of the adenosine monophosphate-activated protein kinase (AMPK)/p53 axis to promote apoptosis. Notably, amentoflavone, a biflavonoid constituent of COE, was computationally predicted and experimentally validated to inhibit PFK1, recapitulating COE's anti-proliferative effect. Collectively, our findings reveal that, besides regulating cell cycle and apoptosis, COE activates a previously unrecognized PFK1–AMPK/p53 signaling pathway, providing a mechanistic rationale for its development as a metabolism-oriented therapeutic strategy in CRC.

结直肠癌（CRC）是全球癌症死亡率的重要原因。虽然传统的化疗药物或单药化合物可以抑制肿瘤生长，但它们的剂量限制性毒性往往会削弱患者的生存和生活质量。植物提取物具有独特的治疗优势，利用多靶点途径，具有固有的低毒性。在这里，我们报道了橄榄提取物（COE）介导CRC凋亡的多信号转导途径。COE选择性抑制CRC细胞生长，其GI50值显著低于正常肠上皮细胞。定量蛋白质组学揭示了coe驱动的细胞周期调控、细胞凋亡和代谢重编程的扰动。热蛋白质组分析和细胞热移分析鉴定了关键的糖酵解酶磷酸果糖激酶-1 （PFK1）是COE的直接分子靶点。对癌症基因组图谱数据的调查显示，PFK1表达升高与CRC患者较差的生存有关。机制研究表明，COE抑制PFK1酶活性，导致细胞能量应激，激活单磷酸腺苷活化蛋白激酶(AMPK)/p53轴，促进细胞凋亡。值得注意的是，计算预测和实验验证了COE的双黄酮成分amentoflavone可以抑制PFK1，概括了COE的抗增殖作用。总之，我们的研究结果表明，除了调节细胞周期和细胞凋亡外，COE还激活了先前未被识别的PFK1-AMPK /p53信号通路，为其作为CRC代谢导向治疗策略的发展提供了机制基础。

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引用次数: 0

Postharvest storage temperature affects the quality and stability of red jujube and winter jujube 采后贮藏温度影响红枣和冬枣的品质和稳定性

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-16 DOI: 10.1016/j.jafr.2026.102659

Wen Tang , Chuanjiang Zhang , Peihua Du, Cuiyun Wu, Minjuan Lin, Yang Cao

Red jujube (Ziziphus jujuba Mill. cv. Hongzao) and winter jujube (Ziziphus jujuba Mill. cv. Dongzao) are important fruit resources in China. This research systematically assessed the effects of normal- (25 °C) and low-temperature (4 °C) storage on the storage stability and fruit quality of red jujube and winter jujube. The results showed that 4 °C low-temperature storage effectively delays postharvest quality deterioration by metabolic activity, respiration, and oxidative stress, significantly delayed the green-to-red color transition, reduced soft fruit and decay incidence, extended the shelf life by 3.5-fold (red jujube) and 5.25-fold (winter jujube) compared to 25 °C storage, and effectively suppressed nutrient loss while enhancing water retention capacity. Although both varieties benefit from refrigeration, red jujube exhibits superior storage stability at 4 °C, characterized by stronger retention of vitamin C (VC), higher ascorbate peroxidase (APX) activity, and greater suppression of cell wall-degrading enzymes (polygalacturonase [PG], β-glucosidase, and cellulase). In contrast, winter jujube has a total soluble solids (TSS) and carbohydrate content, resulting in higher respiratory, weight loss and cell membrane damage. Meanwhile, Principal component analysis (PCA) under both temperature conditions indicated that the differences in physiological responses between varieties were attenuated under low-temperature storage. These observations provide valuable theoretical and practical guidance to optimize postharvest storage technologies for jujube fruit.

红枣（Ziziphus jujuba Mill）简历。红枣)和冬枣（Ziziphus juba Mill）。简历。冬枣是中国重要的水果资源。本研究系统评价了常温（25℃）和低温（4℃）贮藏对红枣和冬枣贮藏稳定性和果实品质的影响。结果表明：4℃低温贮藏有效延缓了果实代谢活性、呼吸作用和氧化应激导致的采后品质劣化，显著延缓了果实由绿向红的转变，降低了软果和腐烂率，贮藏期分别比25℃贮藏延长了3.5倍（红枣）和5.25倍（冬枣），有效抑制了营养物质的流失，提高了保水能力。虽然这两个品种都有利于冷藏，但红枣在4°C下表现出更好的储存稳定性，其特点是维生素C （VC）的保留更强，抗坏血酸过氧化物酶（APX）的活性更高，细胞壁降解酶（聚半乳糖醛酸酶[PG]， β-葡萄糖苷酶和纤维素酶）的抑制更强。相比之下，冬枣的总可溶性固结物（TSS）和碳水化合物含量较高，导致呼吸、体重减轻和细胞膜损伤。同时，两种温度条件下的主成分分析（PCA）结果表明，低温贮藏降低了品种间生理反应的差异。这些研究结果为优化枣果实采后贮藏技术提供了有价值的理论和实践指导。

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引用次数: 0

Comprehensive characterization of volatile components reveals the complexity of apricot fruit aroma with distinct coloration 挥发性成分的综合表征揭示了杏果实香气的复杂性和颜色的独特性

IF 6.2 Q1 AGRICULTURE, MULTIDISCIPLINARY

Journal of Agriculture and Food Research

Pub Date : 2026-01-16 DOI: 10.1016/j.jafr.2026.102685

Yawen He , Jiangui Li , Zhenfan Yu , Chengxun Lin , Zixuan Wang , Bin Zhang

Apricots are widely appreciated for its distinctive aroma. The unique climate of Xinjiang contributes to the characteristic flavor profile of its apricots; however, the key aromatic active compounds responsible for their superior flavor quality remain unclear. Headspace-solid phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS) was implemented to characterize the volatile compounds of four locally cultivated Xinjiang apricot varieties with distinct fruit colors. A total of 38 volatile compounds were identified as potential biomarkers, predominantly aldehydes and terpenoids. Integrated analysis of volatile content and sensory evaluation indicated that the white-fruited 'Kuchebaixing' variety exhibited the most desirable profile. The differential aroma components included (E,E)-2,4-Undecadienal, E−2-undecenal, Decanal, Cedrol, α-Ionone, β-Ionone, α-Phellandrene, and D-Limonene. The greatest divergence in volatile composition was observed between 'Kuchebaixing' (white) and 'Danxing' (orange). Notably, D-limonene and L-α-Terpineol showed significant differential accumulation among varieties within the monoterpene biosynthesis pathway. rOAV (relative odor activity value) analysis revealed that the overall aroma of the four color-based varieties presented sweet, citrus, floral, and fruity notes. Myrcene, α-ionone, β-ionone, and α-phellandrene were identified as the primary contributors to the characteristic apricot aroma. Of particular note is α-ionone, highlighted here for the first time in this context, which is a product of color-related metabolic pathways. These findings provide new insights for the flavor assessment and quality improvement of Xinjiang apricot germplasm resources.

杏因其独特的香气而广受欢迎。新疆独特的气候造就了其杏特有的风味；然而，导致其优异风味品质的关键芳香活性化合物仍不清楚。采用顶空固相微萃取/气相色谱-质谱联用技术（HS-SPME/GC-MS）对新疆4种不同果色杏品种的挥发性成分进行了表征。共有38种挥发性化合物被确定为潜在的生物标志物，主要是醛类和萜类化合物。挥发性成分综合分析和感官评价表明，白果品种“库车百星”表现出最理想的性状。差异香气成分包括（E，E）-2,4-十一烯醛、E−2-十一烯醛、癸醛、雪松醇、α-离子酮、β-离子酮、α-茶树烯和d -柠檬烯。“苦车百星”（白色）和“丹星”（橙色）的挥发性成分差异最大。值得注意的是，在单萜合成途径中，d -柠檬烯和L-α-松油醇的积累在品种间存在显著差异。相对气味活性值（rOAV）分析显示，四种颜色品种的整体香气呈现出甜味、柑橘味、花香和水果味。月桂烯、α-离子酮、β-离子酮和α-茶树烯被确定为杏子特有香气的主要贡献者。特别值得注意的是α-离子酮，这是在本文中首次强调的，它是与颜色相关的代谢途径的产物。这些研究结果为新疆杏种质资源风味评价和品质改良提供了新的思路。

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引用次数: 0