Packaging can be a major source of food contamination. To ensure the safety of the final packaging for the food industry, it is imperative to undertake a thorough assessment of potential contaminants that may come into contact with the food. This examination begins with evaluating the materials used in the production process of the packaging. To manufacture these packages for the food sector, the production units must comply with the first operating programs, develop a HACCP plan that conforms to the revised codex standards (which will take effect in 2023), and adopt IFS PACsecure (version 2, planned for 2023). The objective of this study is to assess the risks to the safety of laminated and unlaminated films utilized in the food business, in accordance with existing regulatory regulations and IFS Food Packing safety standards, within a food industry packaging manufacturing facility.
{"title":"An assessment of the influence of elevated hygiene hazards and quality management systems on the safety of laminated and unlaminated films employed in the food sector","authors":"Romina Alina Marc, Crina Carmen Mureşan, Alina Narcisa Postolache, Florina Stoica, Ioana Cristina Crivei, Ionuţ-Dumitru Veleşcu, Roxana Nicoleta Raţu","doi":"10.1007/s10068-025-01926-8","DOIUrl":"10.1007/s10068-025-01926-8","url":null,"abstract":"<div><p>Packaging can be a major source of food contamination. To ensure the safety of the final packaging for the food industry, it is imperative to undertake a thorough assessment of potential contaminants that may come into contact with the food. This examination begins with evaluating the materials used in the production process of the packaging. To manufacture these packages for the food sector, the production units must comply with the first operating programs, develop a HACCP plan that conforms to the revised codex standards (which will take effect in 2023), and adopt IFS PACsecure (version 2, planned for 2023). The objective of this study is to assess the risks to the safety of laminated and unlaminated films utilized in the food business, in accordance with existing regulatory regulations and IFS Food Packing safety standards, within a food industry packaging manufacturing facility.</p></div>","PeriodicalId":566,"journal":{"name":"Food Science and Biotechnology","volume":"34 14","pages":"3403 - 3415"},"PeriodicalIF":3.1,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10068-025-01926-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-23DOI: 10.1007/s10068-025-01956-2
Sangoh Kim
Accurate demand forecasting in the restaurant industry is critical for optimizing inventory management, minimizing food waste, and enhancing operational efficiency. This study developed an AI-based system that predicts menu-specific daily sales using historical sales and meteorological data collected from 2021 to 2023. Approximately 384 menu items were individually modeled using deep neural networks configured for multi-class classification. The system achieved strong predictive performance with a mean Pearson correlation coefficient of 0.7945. Additionally, flexible visualization options were implemented to sort predictions by expected or actual sales volumes. The results demonstrate the feasibility of AI-driven demand prediction systems and their potential to transform food service operations toward greater sustainability and efficiency.
{"title":"Development of an AI-based restaurant menu demand prediction model utilizing sales and meteorological data","authors":"Sangoh Kim","doi":"10.1007/s10068-025-01956-2","DOIUrl":"10.1007/s10068-025-01956-2","url":null,"abstract":"<div><p>Accurate demand forecasting in the restaurant industry is critical for optimizing inventory management, minimizing food waste, and enhancing operational efficiency. This study developed an AI-based system that predicts menu-specific daily sales using historical sales and meteorological data collected from 2021 to 2023. Approximately 384 menu items were individually modeled using deep neural networks configured for multi-class classification. The system achieved strong predictive performance with a mean Pearson correlation coefficient of 0.7945. Additionally, flexible visualization options were implemented to sort predictions by expected or actual sales volumes. The results demonstrate the feasibility of AI-driven demand prediction systems and their potential to transform food service operations toward greater sustainability and efficiency.</p></div>","PeriodicalId":566,"journal":{"name":"Food Science and Biotechnology","volume":"34 15","pages":"3597 - 3606"},"PeriodicalIF":3.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145296641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-07-23DOI: 10.1007/s10068-025-01944-6
Sang-Yong Han, Hangyul Choi, Eun-Heui Jo, Yun-Kyung Kim
Lycii fructus (LF) is widely used in traditional Asian medicine and as a dietary supplement due to its potential health benefits. Zeaxanthin (ZEA), a key carotenoid in LF, is crucial in supporting eye health. However, the effects of LF and ZEA on receptor activator of NF-kappaB Ligand (RANKL)-mediated osteoclast differentiation were not confirmed. This study evaluated the anti-osteoclastogenic effects of LF water extracts (LFW) and ZEA. LFW and ZEA inhibited RANKL-induced TRAP formation and F-actin rings in BMMs. LFW and ZEA suppressed mRNA and protein expression of c-Fos and NFATc1. LFW and ZEA stimulation also led to the suppression of mRNA expression for osteoclast-specific genes. In MAPK signaling pathways, LFW suppressed ERK, JNK, and p38 phosphorylation, while ZEA only inhibited the JNK pathway. Taken together, LFW and ZEA have the potential to be used as organic functional foods for the prevention and treatment of bone diseases.
{"title":"Inhibitory effects of Lycii fructus water extracts and its active ingredient, zeaxanthin, on receptor activator of nuclear factor κB ligand-induced osteoclast differentiation","authors":"Sang-Yong Han, Hangyul Choi, Eun-Heui Jo, Yun-Kyung Kim","doi":"10.1007/s10068-025-01944-6","DOIUrl":"10.1007/s10068-025-01944-6","url":null,"abstract":"<div><p>Lycii fructus (LF) is widely used in traditional Asian medicine and as a dietary supplement due to its potential health benefits. Zeaxanthin (ZEA), a key carotenoid in LF, is crucial in supporting eye health. However, the effects of LF and ZEA on receptor activator of NF-kappaB Ligand (RANKL)-mediated osteoclast differentiation were not confirmed. This study evaluated the anti-osteoclastogenic effects of LF water extracts (LFW) and ZEA. LFW and ZEA inhibited RANKL-induced TRAP formation and F-actin rings in BMMs. LFW and ZEA suppressed mRNA and protein expression of c-Fos and NFATc1. LFW and ZEA stimulation also led to the suppression of mRNA expression for osteoclast-specific genes. In MAPK signaling pathways, LFW suppressed ERK, JNK, and p38 phosphorylation, while ZEA only inhibited the JNK pathway. Taken together, LFW and ZEA have the potential to be used as organic functional foods for the prevention and treatment of bone diseases.</p></div>","PeriodicalId":566,"journal":{"name":"Food Science and Biotechnology","volume":"34 14","pages":"3363 - 3374"},"PeriodicalIF":3.1,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-07-22DOI: 10.1007/s10068-025-01941-9
Mi Hye Park, Bumsik Kim
Arugula (Eruca sativa) cultivation is increasing in South Korea, but its low storage stability limits commercial viability. This study examined the physicochemical and biological properties of lactic acid bacteria (LAB)-fermented E. sativa extract to enhance functionality. Total polyphenol content increased after fermentation, with FEEE and FEWE showing the highest levels at 84.09 mg GAE/g and 90.18 mg GAE/g, respectively. HPLC analysis revealed elevated bioactive compounds, particularly rutin and quercetin. The 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity of FEWE reached 90.03% (1,000 μg/mL, p < 0.05). Fermentation enhanced antioxidant enzyme activities, with FEWE exhibiting the highest superoxide dismutase (SOD) activity (104.23 unit/mg protein). Additionally, FEEE at 500 μg/mL reduced nitric oxide (NO) production by 15.0% and suppressed IL-1β, IL-6, and TNF-α levels. These findings indicate that LAB fermentation enhances E. sativa extract’s bioactivity, supporting its application in functional foods.
{"title":"Physicochemical properties and physiological activities of Eruca sativa extract fermented by lactic acid bacteria","authors":"Mi Hye Park, Bumsik Kim","doi":"10.1007/s10068-025-01941-9","DOIUrl":"10.1007/s10068-025-01941-9","url":null,"abstract":"<div><p>Arugula (<i>Eruca sativa</i>) cultivation is increasing in South Korea, but its low storage stability limits commercial viability. This study examined the physicochemical and biological properties of lactic acid bacteria (LAB)-fermented <i>E. sativa</i> extract to enhance functionality. Total polyphenol content increased after fermentation, with FEEE and FEWE showing the highest levels at 84.09 mg GAE/g and 90.18 mg GAE/g, respectively. HPLC analysis revealed elevated bioactive compounds, particularly rutin and quercetin. The 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical scavenging activity of FEWE reached 90.03% (1,000 μg/mL, <i>p</i> < 0.05). Fermentation enhanced antioxidant enzyme activities, with FEWE exhibiting the highest superoxide dismutase (SOD) activity (104.23 unit/mg protein). Additionally, FEEE at 500 μg/mL reduced nitric oxide (NO) production by 15.0% and suppressed IL-1β, IL-6, and TNF-α levels. These findings indicate that LAB fermentation enhances <i>E. sativa</i> extract’s bioactivity, supporting its application in functional foods.</p></div>","PeriodicalId":566,"journal":{"name":"Food Science and Biotechnology","volume":"34 14","pages":"3351 - 3362"},"PeriodicalIF":3.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144929201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 : 2025-07-22DOI: 10.1007/s10068-025-01960-6
Vivian Prayitno, Hae-Se Lee, Min-Jeong Kim, Se-Young Kim, Ki-Teak Lee
Accurate identification of trans-18:3 fatty acid isomers remain challenging due to the co-elution of structurally diverse cis isomers, particularly non-methylene-interrupted fatty acids (NMIFAs). GC–FID analysis of pine nut using an SP™-2560 column revealed unusually high peak areas (> 13%) in the 18:3t region. However, a peak reduction in the 18:3t region after nitric acid-induced isomerization reaction, suggested the presence of cis isomers in native pine nut. GC–MS data identified the disappearing peak as pinolenic acid (5Z,9Z,12Z-octadecatrienoic acid; Δ5, 9, 12–18:3), while FT–IR and Raman spectroscopy confirmed hardly detectable trans fatty acid content prior to isomerization. Further, comparative analysis with perilla oil, rich in α-linolenic acid, under identical conditions aided in clarifying trans isomer positions in the 18:3t region. These findings demonstrate the limitation of retention-time-based identification alone to distinguish geometric isomers within polyunsaturated fatty acid subclasses.