Pub Date : 2026-01-10DOI: 10.1016/j.jspr.2026.102949
Maria Κ. Sakka , Graham Moores , Marina Gourgouta , Mariastela Vrontaki , Christos G. Athanassiou
The lesser grain borer, Rhyzopertha dominica (F.) (Coleoptera: Bostrychidae), is one of the most destructive pests of stored cereals worldwide, and resistance to insect growth regulators such as S-methoprene has been documented in several populations. In the present study, we evaluated the effects of S-methoprene alone and in combination with the synergist piperonyl butoxide (PBO) against susceptible (QRD14) and resistant (QRD551) strains of R. dominica. Bioassays were conducted on wheat treated with two concentrations of S-methoprene (0.1 and 0.3 mg/kg for QRD14; 10 and 30 mg/kg for QRD551 and two concentrations of PBO (0.27 and 1.35 g/kg). Treatments were applied under three exposure scenarios: (i) sequential application of S-methoprene followed by PBO with a 5-h interval, (ii) sequential application of PBO followed by S-methoprene with a 5-h interval, and (iii) simultaneous application of both compounds. Adult mortality was generally low in both strains, not exceeding 30 % even after 21 d, although the combination. In contrast, progeny production was almost completely suppressed in QRD14 across all treatments, while in the QRD551 strain, progeny suppression was dose-dependent and strongest when S-methoprene at 30 mg/kg was combined with PBO at 1.35 g/kg. These results demonstrate that progeny suppression, rather than adult mortality, is the key effect of S-methoprene against R. dominica, and that PBO can enhance its efficacy, particularly in resistant populations.
{"title":"Two peas in a pod: Efficacy of S-methoprene in combination with piperonyl butoxide for the control of different strains of the lesser grain borer, Rhyzopertha dominica (F.) (Coleoptera: Bostrychidae)","authors":"Maria Κ. Sakka , Graham Moores , Marina Gourgouta , Mariastela Vrontaki , Christos G. Athanassiou","doi":"10.1016/j.jspr.2026.102949","DOIUrl":"10.1016/j.jspr.2026.102949","url":null,"abstract":"<div><div>The lesser grain borer, <em>Rhyzopertha dominica</em> (F.) (Coleoptera: Bostrychidae), is one of the most destructive pests of stored cereals worldwide, and resistance to insect growth regulators such as S-methoprene has been documented in several populations. In the present study, we evaluated the effects of S-methoprene alone and in combination with the synergist piperonyl butoxide (PBO) against susceptible (QRD14) and resistant (QRD551) strains of <em>R. dominica</em>. Bioassays were conducted on wheat treated with two concentrations of S-methoprene (0.1 and 0.3 mg/kg for QRD14; 10 and 30 mg/kg for QRD551 and two concentrations of PBO (0.27 and 1.35 g/kg). Treatments were applied under three exposure scenarios: (i) sequential application of S-methoprene followed by PBO with a 5-h interval, (ii) sequential application of PBO followed by S-methoprene with a 5-h interval, and (iii) simultaneous application of both compounds. Adult mortality was generally low in both strains, not exceeding 30 % even after 21 d, although the combination. In contrast, progeny production was almost completely suppressed in QRD14 across all treatments, while in the QRD551 strain, progeny suppression was dose-dependent and strongest when S-methoprene at 30 mg/kg was combined with PBO at 1.35 g/kg. These results demonstrate that progeny suppression, rather than adult mortality, is the key effect of S-methoprene against <em>R. dominica</em>, and that PBO can enhance its efficacy, particularly in resistant populations.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102949"},"PeriodicalIF":2.7,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Non-thermal ozonation using a double plasma system presents a promising alternative to conventional heat-based sterilization for maintaining the quality and microbial safety of coconut water. This study aimed to evaluate the inactivation kinetics of Geobacillus stearothermophilus, Bacillus cereus, and Bacillus subtilis during coconut water ozonation and to develop an optimized process design using kinetic parameters. The ozonation process was conducted with a double plasma generator at airflow rates of 1–4 L min−1, corresponding to ozone concentrations of 209–720 mg L−1. The inactivation kinetics followed first-order behavior, where higher ozone concentrations resulted in steeper inactivation slopes and shorter D-values. The D-values at 720 mg L−1 were 30.19, 21.56, and 29.83 min for G. stearothermophilus, B. cereus, and B. subtilis, respectively, while corresponding Z-values were 4151.30, 2304.14, and 3286.38 mg L−1. An optimization model was developed based on these parameters to predict ozonation time–concentration combinations for 3D, 6D, and 9D inactivation levels. The 9D inactivation line for G. stearothermophilus defined the critical design boundary ensuring total bacterial reduction. The optimized condition, ozonation at 720 mg L−1 for 500 min, achieved theoretical 9-log reductions (99.9999999 %) across all bacteria tested. Despite relatively high energy demands, double plasma ozonation offers a viable non-thermal sterilization approach for extending coconut water shelf life while maintaining sensory quality. Future work should focus on scaling, energy optimization, and renewable power integration to enhance its industrial feasibility.
采用双等离子体系统的非热臭氧化是一种有希望的替代传统热基灭菌的方法,可以保持椰子汁的质量和微生物安全。本研究旨在评价嗜脂热地杆菌、蜡样芽孢杆菌和枯草芽孢杆菌在椰子水臭氧化过程中的失活动力学,并利用动力学参数进行工艺优化设计。臭氧化过程在双等离子体发生器上进行,气流速率为1 ~ 4 L min - 1,臭氧浓度为209 ~ 720 mg L - 1。失活动力学遵循一阶行为,较高的臭氧浓度导致更陡的失活斜率和更短的d值。在720 mg L - 1下,嗜脂嗜热杆菌、蜡样芽孢杆菌和枯草芽孢杆菌的d值分别为30.19、21.56和29.83 min,对应的z值分别为4151.30、2304.14和3286.38 mg L - 1。基于这些参数建立了优化模型,以预测臭氧化时间-浓度组合对3D、6D和9D失活水平的影响。硬脂嗜热杆菌的9D失活线确定了确保细菌总数减少的关键设计边界。优化条件为720 mg L−1臭氧氧化500 min,所有被测细菌的理论上减少量为9对数(99.9999999%)。尽管能量需求相对较高,但双等离子体臭氧氧化提供了一种可行的非热灭菌方法,可以延长椰子汁的保质期,同时保持感官质量。未来的工作应侧重于规模化、能源优化和可再生能源整合,以提高其产业可行性。
{"title":"Non-thermal sterilization of coconut water via double plasma ozonation: Inactivation kinetics and process design","authors":"David Yudianto , Bella Mellisani , Hanafi , Henny Rochaeny , Nurhasanah , Septilina Melati Sirait , Alvina Nur Aini , Arya Ulilalbab , Andita Sayekti , Ellyas Alga Nainggolan , Klara Urbanova","doi":"10.1016/j.jspr.2026.102950","DOIUrl":"10.1016/j.jspr.2026.102950","url":null,"abstract":"<div><div>Non-thermal ozonation using a double plasma system presents a promising alternative to conventional heat-based sterilization for maintaining the quality and microbial safety of coconut water. This study aimed to evaluate the inactivation kinetics of <em>Geobacillus stearothermophilus</em>, <em>Bacillus cereus</em>, and <em>Bacillus subtilis</em> during coconut water ozonation and to develop an optimized process design using kinetic parameters. The ozonation process was conducted with a double plasma generator at airflow rates of 1–4 L min<sup>−1</sup>, corresponding to ozone concentrations of 209–720 mg L<sup>−1</sup>. The inactivation kinetics followed first-order behavior, where higher ozone concentrations resulted in steeper inactivation slopes and shorter D-values. The D-values at 720 mg L<sup>−1</sup> were 30.19, 21.56, and 29.83 min for <em>G. stearothermophilus</em>, <em>B. cereus</em>, and <em>B. subtilis</em>, respectively, while corresponding Z-values were 4151.30, 2304.14, and 3286.38 mg L<sup>−1</sup>. An optimization model was developed based on these parameters to predict ozonation time–concentration combinations for 3D, 6D, and 9D inactivation levels. The 9D inactivation line for <em>G. stearothermophilus</em> defined the critical design boundary ensuring total bacterial reduction. The optimized condition, ozonation at 720 mg L<sup>−1</sup> for 500 min, achieved theoretical 9-log reductions (99.9999999 %) across all bacteria tested. Despite relatively high energy demands, double plasma ozonation offers a viable non-thermal sterilization approach for extending coconut water shelf life while maintaining sensory quality. Future work should focus on scaling, energy optimization, and renewable power integration to enhance its industrial feasibility.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102950"},"PeriodicalIF":2.7,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1016/j.jspr.2025.102938
Chunxue You , Yao Yao , Kaidi Dai , Jinming Chen , Yanming Wu , Wenjuan Zhang , Xiaoxue Yu , Chao Jiang , Xiumei Gao
Tribolium castaneum (Herbst) is a major stored-product pest, necessitating safer alternatives targeting its destructive larval stage. This study investigated the synergistic insecticidal effects of 2-undecanone and decanal, two active constituents from Houttuynia cordata essential oil, against T. castaneum larvae and elucidated the underlying mechanisms via quantitative real-time PCR (qRT-PCR), RNA interference (RNAi), histopathology, molecular docking, ELISA, and enzyme activity assays. Contact toxicity assays identified the 5:5 mixture as optimally effective, exhibiting significant synergy (R ≥ 1.5) and the lowest LD50 (14.8 μg/larva). Whereas 2-undecanone alone upregulated farnesol dehydrogenase (FDa), glutathione S-transferase (GST), and cytochrome P450 (CYP6BQ7), the 5:5 mixture significantly suppressed the expression of FDa and GST (>60 %), accompanied by decreased GST enzyme activity and lower juvenile hormone (JH) III levels. RNAi silencing of FDa and GST confirmed their important roles in larval susceptibility. Molecular docking predicted interactions of both compounds with FDa and GST, implying potential cooperative inhibition. Histopathology revealed more severe midgut damage under the mixture than under either compound alone. In conclusion, the synergy arises from coordinated suppression of the GST-mediated detoxification and FDa-linked JH biosynthesis, offering a promising strategy for developing potent, eco-friendly botanical formulations for stored-product pest management.
{"title":"Synergistic insecticidal mechanism of 2-undecanone and decanal against Tribolium castaneum larvae via dual suppression of GST and FDa pathways","authors":"Chunxue You , Yao Yao , Kaidi Dai , Jinming Chen , Yanming Wu , Wenjuan Zhang , Xiaoxue Yu , Chao Jiang , Xiumei Gao","doi":"10.1016/j.jspr.2025.102938","DOIUrl":"10.1016/j.jspr.2025.102938","url":null,"abstract":"<div><div><em>Tribolium castaneum</em> (Herbst) is a major stored-product pest, necessitating safer alternatives targeting its destructive larval stage. This study investigated the synergistic insecticidal effects of 2-undecanone and decanal, two active constituents from <em>Houttuynia cordata</em> essential oil, against <em>T. castaneum</em> larvae and elucidated the underlying mechanisms via quantitative real-time PCR (qRT-PCR), RNA interference (RNAi), histopathology, molecular docking, ELISA, and enzyme activity assays. Contact toxicity assays identified the 5:5 mixture as optimally effective, exhibiting significant synergy (R ≥ 1.5) and the lowest LD<sub>50</sub> (14.8 μg/larva). Whereas 2-undecanone alone upregulated farnesol dehydrogenase (<em>FDa</em>), glutathione S-transferase (<em>GST</em>), and cytochrome P450 (<em>CYP6BQ7</em>), the 5:5 mixture significantly suppressed the expression of <em>FDa</em> and <em>GST</em> (>60 %), accompanied by decreased GST enzyme activity and lower juvenile hormone (JH) III levels. RNAi silencing of <em>FDa</em> and <em>GST</em> confirmed their important roles in larval susceptibility. Molecular docking predicted interactions of both compounds with FDa and GST, implying potential cooperative inhibition. Histopathology revealed more severe midgut damage under the mixture than under either compound alone. In conclusion, the synergy arises from coordinated suppression of the GST-mediated detoxification and FDa-linked JH biosynthesis, offering a promising strategy for developing potent, eco-friendly botanical formulations for stored-product pest management.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102938"},"PeriodicalIF":2.7,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-02DOI: 10.1016/j.jspr.2025.102937
Xinyu Guo , Jian Zhang , Haitao Xiong , Tao Zhang , Ranbing Yang , Xufeng Wang
Sweet potato, as a major global economic and food crop, often suffers from surface defects due to its complex growth environment and harvesting processes. The long-term mixing of healthy and defective sweet potatoes during storage accelerates the physiological deterioration. This significantly reduces their edible quality and market value. To address this issue, this research presents SP-YOLOv11, a high-performance defect detection method designed to identify and grade four surface conditions of sweet potatoes in complex harvesting environments, including intact skin, minor defects, moderate defects, and severe defects. Specifically, first, a CPPA module is introduced, which employs a multi-branch feature extraction strategy to enhance the model's feature representation and detail-capturing ability. Next, an FDPN module is constructed, which, through multi-scale fusion and feature diffusion mechanisms, improves the adaptability to defects of different scales. Finally, an MSE-Detect module is introduced to focus on the key defect areas of sweet potatoes, further enhancing robustness in agricultural scenarios. To validate the effectiveness, eight ablation experiments are conducted. The results show that SP-YOLOv11 achieves the highest detection accuracy for sweet potato defects, with mAP@0.5 and mAP@0.5:0.95 reaching 98.50 % and 85.60 %, respectively. This research effectively overcomes the challenges of low efficiency, poor accuracy, and high damage rates in traditional defect detection methods. It significantly reduces the spread of diseases and physiological deterioration, while enhancing the post-harvest freshness retention and storage quality of sweet potatoes. The proposed approach provides technical support for their commercial processing and intelligent grading.
{"title":"A multi-defect detection framework for sweet potato based on feature fusion and adaptive attention under complex postharvest conditions","authors":"Xinyu Guo , Jian Zhang , Haitao Xiong , Tao Zhang , Ranbing Yang , Xufeng Wang","doi":"10.1016/j.jspr.2025.102937","DOIUrl":"10.1016/j.jspr.2025.102937","url":null,"abstract":"<div><div>Sweet potato, as a major global economic and food crop, often suffers from surface defects due to its complex growth environment and harvesting processes. The long-term mixing of healthy and defective sweet potatoes during storage accelerates the physiological deterioration. This significantly reduces their edible quality and market value. To address this issue, this research presents SP-YOLOv11, a high-performance defect detection method designed to identify and grade four surface conditions of sweet potatoes in complex harvesting environments, including intact skin, minor defects, moderate defects, and severe defects. Specifically, first, a CPPA module is introduced, which employs a multi-branch feature extraction strategy to enhance the model's feature representation and detail-capturing ability. Next, an FDPN module is constructed, which, through multi-scale fusion and feature diffusion mechanisms, improves the adaptability to defects of different scales. Finally, an MSE-Detect module is introduced to focus on the key defect areas of sweet potatoes, further enhancing robustness in agricultural scenarios. To validate the effectiveness, eight ablation experiments are conducted. The results show that SP-YOLOv11 achieves the highest detection accuracy for sweet potato defects, with <em>mAP@</em>0.5 and <em>mAP@</em>0.5:0.95 reaching 98.50 % and 85.60 %, respectively. This research effectively overcomes the challenges of low efficiency, poor accuracy, and high damage rates in traditional defect detection methods. It significantly reduces the spread of diseases and physiological deterioration, while enhancing the post-harvest freshness retention and storage quality of sweet potatoes. The proposed approach provides technical support for their commercial processing and intelligent grading.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102937"},"PeriodicalIF":2.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-02DOI: 10.1016/j.jspr.2025.102934
Liya Zeng , Weihan Ding , Wenxiang Duan , Zhe Wang
To overcome the inherent limitations of Zanthoxylum bungeanum essential oil (ZBEO), such as high volatility and poor water solubility, a potentially green nanoemulsion was developed using tea saponin (TS) as a natural co-stabilizer with Tween 80 for the enhanced insecticidal control of Cryptolestes ferrugineus. The optimized formulation (ZBEO: Tween 80:TS = 2:1:1, w/w) exhibited a small droplet size (165.49 ± 2.98 nm), low polydispersity index (0.29 ± 0.02), and high negative zeta potential (−34.79 ± 3.02 mV). This stability originated from a synergistic mechanism between Tween 80 and TS: Tween 80 provided steric hindrance, while TS contributed electrostatic repulsion at the oil-water interface. Bioassays demonstrated that nanoencapsulation significantly enhanced the insecticidal efficacy of ZBEO, reducing the LD50 for contact toxicity and the LC50 for fumigation toxicity by 25 % and 41 %, respectively. Notably, after 90 days of storage, the nanoemulsion retained substantial bioactivity, with only a minifmal increase in LC50 values, and remained significantly more effective than freshly prepared, unformulated ZBEO. The enhanced performance could be attributed to improved cuticular penetration and controlled release enabled by the TS-based stabilization system. This work confirms TS as an efficient natural co-stabilizer and presents the ZBEO nanoemulsion as a promising, high-efficacy candidate based on natural components for stored-grain pest management.
{"title":"Encapsulation of Zanthoxylum bungeanum essential oil in a tea saponin-stabilized nanoemulsion for enhanced insecticidal control of Cryptolestes ferrugineus","authors":"Liya Zeng , Weihan Ding , Wenxiang Duan , Zhe Wang","doi":"10.1016/j.jspr.2025.102934","DOIUrl":"10.1016/j.jspr.2025.102934","url":null,"abstract":"<div><div>To overcome the inherent limitations of <em>Zanthoxylum bungeanum</em> essential oil (ZBEO), such as high volatility and poor water solubility, a potentially green nanoemulsion was developed using tea saponin (TS) as a natural co-stabilizer with Tween 80 for the enhanced insecticidal control of <em>Cryptolestes ferrugineus</em>. The optimized formulation (ZBEO: Tween 80:TS = 2:1:1, w/w) exhibited a small droplet size (165.49 ± 2.98 nm), low polydispersity index (0.29 ± 0.02), and high negative zeta potential (−34.79 ± 3.02 mV). This stability originated from a synergistic mechanism between Tween 80 and TS: Tween 80 provided steric hindrance, while TS contributed electrostatic repulsion at the oil-water interface. Bioassays demonstrated that nanoencapsulation significantly enhanced the insecticidal efficacy of ZBEO, reducing the LD<sub>50</sub> for contact toxicity and the LC<sub>50</sub> for fumigation toxicity by 25 % and 41 %, respectively. Notably, after 90 days of storage, the nanoemulsion retained substantial bioactivity, with only a minifmal increase in LC<sub>50</sub> values, and remained significantly more effective than freshly prepared, unformulated ZBEO. The enhanced performance could be attributed to improved cuticular penetration and controlled release enabled by the TS-based stabilization system. This work confirms TS as an efficient natural co-stabilizer and presents the ZBEO nanoemulsion as a promising, high-efficacy candidate based on natural components for stored-grain pest management.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102934"},"PeriodicalIF":2.7,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31DOI: 10.1016/j.jspr.2025.102947
Moslem Sabaghi , Mohammad M. Seyedalmoosavi , Sedighe Tavasoli
Stimuli-responsive nutri-packaging has emerged as a promising strategy for preserving the quality, safety, and nutritional integrity of perishable food and feed products. This review focuses on protein-based sustainable packaging materials, highlighting performance enhancement strategies and the design of stimuli-responsive films, including physically, chemically, and biologically responsive systems. These materials are engineered to delay senescence, inhibit microbial growth, and limit nutrient degradation in fruits, vegetables, and compound feeds. Sustainability aspects are addressed through eco-design approaches, valorization of agro-industrial by-products, and Life Cycle Assessment, while the emerging role of Digital Twin technologies is discussed as a tool for simulating and optimizing packaging performance across the life cycle. Relevant regulatory and safety frameworks for food and feed applications are reviewed, along with future perspectives such as responsive modified atmosphere packaging and biosensor integration. Overall, this review provides a multidisciplinary outlook on protein-based stimuli-responsive films aligned with Sustainable Development Goals 3, 9, and 12.
{"title":"Sustainable and regulatory perspectives on stimuli-responsive protein-based films for postharvest food and feed preservation","authors":"Moslem Sabaghi , Mohammad M. Seyedalmoosavi , Sedighe Tavasoli","doi":"10.1016/j.jspr.2025.102947","DOIUrl":"10.1016/j.jspr.2025.102947","url":null,"abstract":"<div><div>Stimuli-responsive nutri-packaging has emerged as a promising strategy for preserving the quality, safety, and nutritional integrity of perishable food and feed products. This review focuses on protein-based sustainable packaging materials, highlighting performance enhancement strategies and the design of stimuli-responsive films, including physically, chemically, and biologically responsive systems. These materials are engineered to delay senescence, inhibit microbial growth, and limit nutrient degradation in fruits, vegetables, and compound feeds. Sustainability aspects are addressed through eco-design approaches, valorization of agro-industrial by-products, and Life Cycle Assessment, while the emerging role of Digital Twin technologies is discussed as a tool for simulating and optimizing packaging performance across the life cycle. Relevant regulatory and safety frameworks for food and feed applications are reviewed, along with future perspectives such as responsive modified atmosphere packaging and biosensor integration. Overall, this review provides a multidisciplinary outlook on protein-based stimuli-responsive films aligned with Sustainable Development Goals 3, 9, and 12.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102947"},"PeriodicalIF":2.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-31DOI: 10.1016/j.jspr.2025.102946
Chen Tian , Yuxin Mu , Qianyu Hang , Xingbo Zhuang , Leiqing Pan , Cheng Zhang , Chao Ding , Qiang Liu
Starch retrogradation compromises product quality, digestibility, and shelf life, posing a challenge for the food industry in achieving stable starch-based products. Developing green and scalable inhibition strategies is therefore a key industry objective. Ultrasound-enhanced ferulic acid (FA) treatment was demonstrated to synergistically enhance rice starch gel stability. Ultrasonic cavitation modified starch matrices, increasing FA binding sites and strengthening hydrogen bonding with starch chains. Compared with non-sonicated controls, ultrasound-enhanced FA treatment reduced gel hardness by 17 % during 20d storage at 4 °C, improved water-holding capacity, and delayed amylopectin recrystallization. It also suppressed water mobility, with T2 relaxation shortened by 50 ms, while forming stable FA-starch complexes that impeded chain reorganization. These results highlight ultrasound as a potent enhancer of FA's anti-retrogradation functionality through mechano-acoustic modification of starch molecular architecture, offering a promising pathway for developing sustainable, high-quality starch-based foods.
{"title":"Ultrasound-enhanced ferulic acid treatment modulates starch gel structure to inhibit retrogradation in rice starch during storage","authors":"Chen Tian , Yuxin Mu , Qianyu Hang , Xingbo Zhuang , Leiqing Pan , Cheng Zhang , Chao Ding , Qiang Liu","doi":"10.1016/j.jspr.2025.102946","DOIUrl":"10.1016/j.jspr.2025.102946","url":null,"abstract":"<div><div>Starch retrogradation compromises product quality, digestibility, and shelf life, posing a challenge for the food industry in achieving stable starch-based products. Developing green and scalable inhibition strategies is therefore a key industry objective. Ultrasound-enhanced ferulic acid (FA) treatment was demonstrated to synergistically enhance rice starch gel stability. Ultrasonic cavitation modified starch matrices, increasing FA binding sites and strengthening hydrogen bonding with starch chains. Compared with non-sonicated controls, ultrasound-enhanced FA treatment reduced gel hardness by 17 % during 20d storage at 4 °C, improved water-holding capacity, and delayed amylopectin recrystallization. It also suppressed water mobility, with T<sub>2</sub> relaxation shortened by 50 ms, while forming stable FA-starch complexes that impeded chain reorganization. These results highlight ultrasound as a potent enhancer of FA's anti-retrogradation functionality through mechano-acoustic modification of starch molecular architecture, offering a promising pathway for developing sustainable, high-quality starch-based foods.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102946"},"PeriodicalIF":2.7,"publicationDate":"2025-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-30DOI: 10.1016/j.jspr.2025.102945
Kavita C. Desai , D.N. Kambrekar , V. Naveen , P.U. Krishnaraj , Suma Biradar , Rohini Sugandi , S.S. Chandrashekhar , Shivakumara K. T , Varshamrutha D. Jepi
The present study reports the green synthesis of silver nanoparticles (AgNPs) and zinc nanoparticles (ZnNPs) using Acorus calamus rhizome extract as a reducing and stabilizing agent, and their evaluation against the rice weevil, Sitophilus oryzae. The NPs were characterized through UV–visible spectrophotometry, particle size analysis, scanning electron microscopy with energy dispersive X-ray spectroscopy, X-ray diffraction, and Fourier-transform infrared spectroscopy, which confirmed their nanoscale dimensions, crystalline nature, and the presence of functional biomolecules involved in stabilization. Bioassays revealed strong insecticidal activity in a concentration-dependent manner. AgNPs at 2500 μg/mL induced 21.67 % adult mortality at 1 day after treatment (DAT) and achieved complete (100 %) mortality by 10 DAT, whereas ZnNPs at 2500 μg/mL caused 91.67 % mortality at 10 DAT and reached 100 % by 15 DAT. In comparison, ZnNPs at 500 μg/mL and A. calamus extract alone caused only 48.33 % and 36.67 % mortality, respectively, at 15 DAT, while untreated controls showed <10 % mortality. In addition to acute toxicity, AgNPs at 2500 μg/mL completely suppressed adult emergence and prevented seed damage and weight loss for up to 90 days under storage conditions. ZnNPs at 2500 μg/mL also provided significant protection, though slightly less effective. Importantly, seed germination remained unaffected across NPs treatments, indicating their safety for grain viability. Overall, green-synthesized AgNPs and ZnNPs demonstrate considerable potential as eco-friendly alternatives to synthetic insecticides for sustainable management of S. oryzae in stored grains.
{"title":"Investigations on sweet flag (Acorus calamus L.) based silver and zinc nanoparticles against Sitophilus oryzae L. in wheat","authors":"Kavita C. Desai , D.N. Kambrekar , V. Naveen , P.U. Krishnaraj , Suma Biradar , Rohini Sugandi , S.S. Chandrashekhar , Shivakumara K. T , Varshamrutha D. Jepi","doi":"10.1016/j.jspr.2025.102945","DOIUrl":"10.1016/j.jspr.2025.102945","url":null,"abstract":"<div><div>The present study reports the green synthesis of silver nanoparticles (AgNPs) and zinc nanoparticles (ZnNPs) using <em>Acorus calamus</em> rhizome extract as a reducing and stabilizing agent, and their evaluation against the rice weevil, <em>Sitophilus oryzae</em>. The NPs were characterized through UV–visible spectrophotometry, particle size analysis, scanning electron microscopy with energy dispersive X-ray spectroscopy, X-ray diffraction, and Fourier-transform infrared spectroscopy, which confirmed their nanoscale dimensions, crystalline nature, and the presence of functional biomolecules involved in stabilization. Bioassays revealed strong insecticidal activity in a concentration-dependent manner. AgNPs at 2500 μg/mL induced 21.67 % adult mortality at 1 day after treatment (DAT) and achieved complete (100 %) mortality by 10 DAT, whereas ZnNPs at 2500 μg/mL caused 91.67 % mortality at 10 DAT and reached 100 % by 15 DAT. In comparison, ZnNPs at 500 μg/mL and <em>A. calamus</em> extract alone caused only 48.33 % and 36.67 % mortality, respectively, at 15 DAT, while untreated controls showed <10 % mortality. In addition to acute toxicity, AgNPs at 2500 μg/mL completely suppressed adult emergence and prevented seed damage and weight loss for up to 90 days under storage conditions. ZnNPs at 2500 μg/mL also provided significant protection, though slightly less effective. Importantly, seed germination remained unaffected across NPs treatments, indicating their safety for grain viability. Overall, green-synthesized AgNPs and ZnNPs demonstrate considerable potential as eco-friendly alternatives to synthetic insecticides for sustainable management of <em>S. oryzae</em> in stored grains.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102945"},"PeriodicalIF":2.7,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-30DOI: 10.1016/j.jspr.2025.102939
Bobby Shekarau Luka , Satyananda Kar , Suryasunil Rath , Mohammed Haris Siddiqui , Khwaja Osama
This study presents an innovative framework that integrates Hybrid Machine Learning (HML) and Deep Optimizer-Informed Empirical Modelling (DOIEM) to predict moisture dynamics during cold plasma jet-assisted drying of carrot slices. Carrot samples were bifacially treated with cold plasma for varying durations of 30, 60 and 90 s and dried using vacuum and convective tray dryers. Moisture ratio data were modelled using Decision Tree, Support Vector Regression, Gaussian Process Regression, Deep Feed-Forward Neural Network, and their hybrid. The HML framework demonstrated strong predictive capability across drying methods and pre-treatment conditions, maintaining consistent performance when tested on unseen data. The DOIEM approach further enhanced traditional empirical models by using a deep-learning optimizer (Adam) to improve parameter estimation and generate a two-dimensional moisture map for an offline digital twin. The resulting digital twin tracked and updated model parameters to reflect spatiotemporal changes in moisture, offering excellent prediction and interpretability. Comparatively, DOIEM provided superior modelling performance compared to the hybrid ML model in both vacuum and tray drying. The DOIEM-based twin also showed strong potential for integration into sensor-driven smart drying systems. This work establishes a practical and data-driven foundation for intelligent food drying applications and demonstrates how digital twin technologies can support real-time monitoring and control in agri-food processing.
{"title":"Deep optimizer-informed empirical twin for cold plasma jet-assisted carrot drying: Towards a smarter alternative to black-box AI-based models","authors":"Bobby Shekarau Luka , Satyananda Kar , Suryasunil Rath , Mohammed Haris Siddiqui , Khwaja Osama","doi":"10.1016/j.jspr.2025.102939","DOIUrl":"10.1016/j.jspr.2025.102939","url":null,"abstract":"<div><div>This study presents an innovative framework that integrates Hybrid Machine Learning (HML) and Deep Optimizer-Informed Empirical Modelling (DOIEM) to predict moisture dynamics during cold plasma jet-assisted drying of carrot slices. Carrot samples were bifacially treated with cold plasma for varying durations of 30, 60 and 90 s and dried using vacuum and convective tray dryers. Moisture ratio data were modelled using Decision Tree, Support Vector Regression, Gaussian Process Regression, Deep Feed-Forward Neural Network, and their hybrid. The HML framework demonstrated strong predictive capability across drying methods and pre-treatment conditions, maintaining consistent performance when tested on unseen data. The DOIEM approach further enhanced traditional empirical models by using a deep-learning optimizer (Adam) to improve parameter estimation and generate a two-dimensional moisture map for an offline digital twin. The resulting digital twin tracked and updated model parameters to reflect spatiotemporal changes in moisture, offering excellent prediction and interpretability. Comparatively, DOIEM provided superior modelling performance compared to the hybrid ML model in both vacuum and tray drying. The DOIEM-based twin also showed strong potential for integration into sensor-driven smart drying systems. This work establishes a practical and data-driven foundation for intelligent food drying applications and demonstrates how digital twin technologies can support real-time monitoring and control in agri-food processing.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102939"},"PeriodicalIF":2.7,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-30DOI: 10.1016/j.jspr.2025.102930
Yan Wang , Jiaoling Wang , Yongchang Li , Tianhang Ding , Feihu Song , Guangyuan Jin , Xianfeng Li , Chunfang Song , Weidong Song
Ultra-dry storage (less than 5 % moisture content, d.b.) can prolong the storage life of seeds. A hot air-membrane coupled dehumidification drying (HAMDH) system was developed for ultra-drying pumpkin seeds. Pumpkin seeds were dried at different temperatures (40 °C, 50 °C, and 60 °C) and ambient relative humidities (3 %, 7 %, and 11 %) to 3.5 % (d.b.). Drying kinetics, mathematical modeling, energy consumption, and seed quality, including germination characteristics, membrane lipid peroxidation, and antioxidant enzyme activities, were systematically investigated. The results showed that the Page model accurately described the drying behavior (R2 > 0.998), with effective moisture diffusivity (Deff) between 3.31 × 10−10 and 9.56 × 10−10 m2/s. Drying time decreased significantly with increasing temperature, while specific energy consumption (SEC) was influenced by both temperature and relative humidity. At 50 °C, pumpkin seeds still maintained good germination characteristics, with the lowest malondialdehyde (MDA) content and higher antioxidant enzyme activity compared to those at 40 °C. Response surface methodology (RSM) for multi-objective optimization was used to optimize the process parameters, identifying 51.5 °C and 7.5 % humidity as optimal. The predicted optimal values were as follows: drying time of 225.56 min, Deffof 5.80 × 10−10 m2/s, Germination percentage of 95.56 %, MDA content of 3.32 nmol/g, and catalase activity of 268.22 U/(g·min), respectively. This study demonstrates that the HAMDH process could extend the storage lifespan of seeds while maintaining their bioactivity in oilseed crops.
{"title":"Experimental study, performance analysis, and optimization of hot Air–Membrane coupled dehumidification for ultra-drying of pumpkin seeds","authors":"Yan Wang , Jiaoling Wang , Yongchang Li , Tianhang Ding , Feihu Song , Guangyuan Jin , Xianfeng Li , Chunfang Song , Weidong Song","doi":"10.1016/j.jspr.2025.102930","DOIUrl":"10.1016/j.jspr.2025.102930","url":null,"abstract":"<div><div>Ultra-dry storage (less than 5 % moisture content, <em>d.b.</em>) can prolong the storage life of seeds. A hot air-membrane coupled dehumidification drying (HAMDH) system was developed for ultra-drying pumpkin seeds. Pumpkin seeds were dried at different temperatures (40 °C, 50 °C, and 60 °C) and ambient relative humidities (3 %, 7 %, and 11 %) to 3.5 % (d.b.). Drying kinetics, mathematical modeling, energy consumption, and seed quality, including germination characteristics, membrane lipid peroxidation, and antioxidant enzyme activities, were systematically investigated. The results showed that the Page model accurately described the drying behavior (<em>R</em><sup>2</sup> > 0.998), with effective moisture diffusivity (<em>D</em><sub><em>eff</em></sub>) between 3.31 × 10<sup>−10</sup> and 9.56 × 10<sup>−10</sup> m<sup>2</sup>/s. Drying time decreased significantly with increasing temperature, while specific energy consumption (<em>SEC</em>) was influenced by both temperature and relative humidity. At 50 °C, pumpkin seeds still maintained good germination characteristics, with the lowest malondialdehyde (MDA) content and higher antioxidant enzyme activity compared to those at 40 °C. Response surface methodology (RSM) for multi-objective optimization was used to optimize the process parameters, identifying 51.5 °C and 7.5 % humidity as optimal. The predicted optimal values were as follows: drying time of 225.56 min, <em>D</em><sub><em>eff</em></sub> <em>of</em> 5.80 × 10<sup>−10</sup> m<sup>2</sup>/s, Germination percentage of 95.56 %, MDA content of 3.32 nmol/g, and catalase activity of 268.22 U/(g·min), respectively. This study demonstrates that the HAMDH process could extend the storage lifespan of seeds while maintaining their bioactivity in oilseed crops.</div></div>","PeriodicalId":17019,"journal":{"name":"Journal of Stored Products Research","volume":"116 ","pages":"Article 102930"},"PeriodicalIF":2.7,"publicationDate":"2025-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145880501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}