Manujaya W. Jayamanna Mohottige , Angéla Juhász , Mitchell G. Nye-Wood , Katherine A. Farquharson , Utpal Bose , Michelle L. Colgrave
{"title":"Comparison of sodium deoxycholate and sodium dodecyl sulphate in milk fat globular membrane protein recovery","authors":"Manujaya W. Jayamanna Mohottige , Angéla Juhász , Mitchell G. Nye-Wood , Katherine A. Farquharson , Utpal Bose , Michelle L. Colgrave","doi":"10.1016/j.jfca.2025.107644","DOIUrl":"10.1016/j.jfca.2025.107644","url":null,"abstract":"<div><div>This study aims to investigate detergent sodium deoxycholate (SDC) and sodium dodecyl sulphate (SDS) treatments, with a focus on each detergent's ability to enhance the extraction of immune-related proteins from camel milk fat globular membrane. Milk was separated into cream and skimmed milk. The cream was then treated using 0.4 % SDS, 2 % SDC, 6 % SDC or 10 % SDC. Extracted proteins were trypsin digested and analysed using liquid chromatography-tandem mass spectrometry. Higher SDC concentrations (6 % and 10 %) resulted in marginal improvements in protein identification (44 unique protein groups). Protein abundance distributions showed minimal differences across treatments. However, weighted gene correlation network analysis highlighted an overrepresentation of complement and coagulation cascade proteins in modules positively correlated with the aforementioned treatment order. Gene set enrichment analysis further revealed that 10 % SDC significantly enriched complement and coagulation cascade proteins and showed comparable enrichment of other immune pathways relative to the alternative detergent treatments applied.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107644"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864266","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}
{"title":"Valorization of grape pomace by microbial fermentation: Composition, biological activities and potential applications for the food industry","authors":"Kavindya Samarakoon , H.P. Vasantha Rupasinghe","doi":"10.1016/j.jfca.2025.107656","DOIUrl":"10.1016/j.jfca.2025.107656","url":null,"abstract":"<div><div>Grape pomace is a rich source of nutrients and bioactive substances, including dietary fiber, (poly)phenols, and other phytochemicals. This review aims to highlight the current knowledge on microbial fermentation of grape pomace, composition and biological activities of fermented grape pomace and discuss the potential of using fermented grape pomace for the development of functional food ingredients, supplemented foods, and nutraceuticals. Fermentation of grape pomace using various microorganisms, including filamentous fungi, edible mushrooms, yeast, and lactic acid bacteria, has been shown to enhance the (poly)phenolic profile of grape pomace. Furthermore, bioactive microbial metabolites (postbiotics) such as gallic acid, pyrogallol, scopoletin and catechol, which were not detected in the initial pomace-based substrates or extracts, were produced through biotransformation. Biotransformed grape pomace has exhibited beneficial and enhanced biological properties such as antioxidant, anti-inflammatory, anti-cancer, and anti-steatotic activities. Microbial-based valorization of grape pomace offers a sustainable approach to producing novel food ingredients and nutraceuticals with valuable health benefits.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107656"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854469","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}
Wen-Juan Shi , Tian Chai , Chun-Mei Lv , Xing-Rong Wang , Xin-Ru Zhang , Yin Qiang , Wei-Feng Wang , Jun-Li Yang
{"title":"Research progress on the main flavor components and detection methods of Zanthoxylum bungeanum Maxim.","authors":"Wen-Juan Shi , Tian Chai , Chun-Mei Lv , Xing-Rong Wang , Xin-Ru Zhang , Yin Qiang , Wei-Feng Wang , Jun-Li Yang","doi":"10.1016/j.jfca.2025.107658","DOIUrl":"10.1016/j.jfca.2025.107658","url":null,"abstract":"<div><div><em>Zanthoxylum bungeanum</em> Maxim. (ZBM), as a distinctive spice, is widely used in the food industry offering significant economic value and market potential. The flavor profiles are the key factor in market competition, which are mainly characterized by three dimensions: aroma, numbness and bitterness. Aroma is mainly derived from volatile terpenes, alcohols and esters, and numbness is dominated by unsaturated fatty acid amides, while bitterness is closely related to coumarins, flavonoids and alkaloids. At present, the detection of flavor substances of ZBM was conducted mainly through sensory combined with instrumental analysis, but the existing detection methods need to be improved in terms of sensitivity, standardization and cost efficiency. This review systematically summarizes and analyzes the chemical composition, structural characteristics, and detection methods of the main flavor profiles of ZBM. Furthermore, future research directions are proposed, including the development of low-cost, real-time detection technologies of aroma substances, stabilization methods of numbing substances, and the research of bitter sources. The review aims to provide theoretical support for precise flavor analysis, quality optimization, and high-value product development of ZBM.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107658"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854470","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}
Muhammad Bilal , Muhammad Arslan , Samee-Ullah , Mohammad Rezaul Islam Shishir , Faryal Shaukat , Zhihua Li , Sun Xia , Zou Xiaobo
{"title":"Efficient detection of adulteration in peanut seed oil using a smartphone-based colorimetric sensor array system","authors":"Muhammad Bilal , Muhammad Arslan , Samee-Ullah , Mohammad Rezaul Islam Shishir , Faryal Shaukat , Zhihua Li , Sun Xia , Zou Xiaobo","doi":"10.1016/j.jfca.2025.107654","DOIUrl":"10.1016/j.jfca.2025.107654","url":null,"abstract":"<div><div>This study aimed to develop a smartphone-based colorimetric sensor array (CSA) system for the rapid detection of adulteration in peanut seed oil (PSO). Rapeseed oil (RSO) was mixed with PSO in varying concentrations (5 %, 10 %, 15 %, 20 %, 25 %, and 30 % by weight) to simulate adulteration. The CSA system analyzed the odors of these mixtures and produced distinct color differential maps based on their chemical composition. Multivariate statistical methods, including principal component analysis (PCA), hierarchical cluster analysis (HCA), and k-nearest neighbor (kNN) algorithms, were used to classify and differentiate between pure and adulterated samples. PCA scatter plots and HCA dendrograms revealed clear separations between authentic and adulterated samples, while the kNN model achieved high accuracy in distinguishing the levels of adulteration. These findings highlight the potential of the proposed CSA system as a cost-effective and rapid method for identifying adulteration in PSO. Further validation with a larger dataset is recommended to enhance its reliability and applicability.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107654"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878604","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}
Liqiang Zhou, Xianjie Fu, Guirong Liu, Wenzheng Liu
{"title":"Cadmium contamination of Houttuynia cordata in Guizhou province, China and its potential risk to consumer health assessed in conjunction with bioaccessibility studies","authors":"Liqiang Zhou, Xianjie Fu, Guirong Liu, Wenzheng Liu","doi":"10.1016/j.jfca.2025.107657","DOIUrl":"10.1016/j.jfca.2025.107657","url":null,"abstract":"<div><div>Cadmium (Cd) is a toxic heavy metal element that can be transferred from soil to crops, posing a potential threat to human health. <em>Houttuynia cordata</em> is a popular food in Southwest China, and the health risk of Cd content to human beings should not be ignored. In this study, we determined the Cd content in <em>H. cordata</em> in nine regions of Guizhou Province, and adjusted the data by considering the results of bioaccessibility. The potential health risks in adult and child populations were determined using the estimated daily intake (EDI), target hazard quotient (THQ), and target carcinogenic risk (TCR) models. The results showed that the Cd content in <em>H. cordata</em> ranged from 0.0673 ± 0.0147 mg/kg to 0.2264 ± 0.0234 mg/kg, and the bioaccessibility of Cd in the stomach portion was 42.03–67.67 %, which was higher than that in the intestinal portion (10.84–36.34 %). The data adjusted based on bioaccessibility was lower than the total content data. This discrepancy indicates that relying solely on total Cd content overestimates health risks, whereas integrating bioaccessibility data allows for a more accurate hazard assessment by reflecting the actual bioaccessibility of Cd during human digestion.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107657"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854472","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}
Xinnan Zhao , Yichen Lin , Shanqin Huo , Haiyan Wu , Mengmeng Guo , Zhijun Tan , Jixing Peng
{"title":"Fatty acids and lipids in sea cucumber from the Rongcheng Sanggou Bay, China: Variation characteristics and diversity profile of farming patterns and harvest seasons","authors":"Xinnan Zhao , Yichen Lin , Shanqin Huo , Haiyan Wu , Mengmeng Guo , Zhijun Tan , Jixing Peng","doi":"10.1016/j.jfca.2025.107627","DOIUrl":"10.1016/j.jfca.2025.107627","url":null,"abstract":"<div><div>As one of the famous high-value seafood, <em>Apostichopus japonicus</em> is rich in polyunsaturated fatty acids, which mainly exist in the form of lipid molecules. However, its lipid composition varies significantly depending on the farming patterns and harvest seasons, potentially influencing its nutritional value and functionality. The objective of this study was to investigate the lipid profiles of <em>A. japonicus</em> by identifying and characterizing distinct lipid molecules, so as to support the further nutritional evaluation and identification of <em>A. japonicus</em> from different farming patterns and harvest seasons. The lipid profiles based on fatty acid, phospholipid subclass and lipid molecular levels were analyzed by gas chromatography (GC), high performance liquid chromatography-evaporative light scattering detector (HPLC-ELSD), and ultra high performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS), respectively. As a result, the bottom sowing cultured <em>A. japonicus</em> was superior to pond cultured in terms of fatty acid composition, while autumn was superior to spring. A total of 242 lipid molecules were identified, including 5 lipid classes and 12 subclasses. Furthermore, EPA-structured phospholipids distinguished the two aquaculture models, while ether phospholipids differentiated between spring and autumn harvests. This study could contribute to the comprehensive analysis of the lipid composition and nutritional aspects of <em>A. japonicus</em>, offering valuable insights into the application of lipidomics for seafood authenticity assessment.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107627"},"PeriodicalIF":4.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854413","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}
{"title":"Comprehensive insights into steviol glycosides as zero-glycemic sweeteners","authors":"Keivan Bahmani , Azam Akbari , Nesibe Ebru Kafkas","doi":"10.1016/j.jfca.2025.107647","DOIUrl":"10.1016/j.jfca.2025.107647","url":null,"abstract":"<div><div>The plant-based steviol glycosides, comprising more than 60 compounds, serve as natural sweeteners that offer safe and health conscious alternatives to sugar in beverages, baked good, and ice cream. Stevia plants, particularly Stevia rebaudiana, produce a diverse set of steviol glycosides concentrated in the young fully expanded leaves peaked before flowering. Within the spectrum of steviol glycosides, significant sweetness is found in Stevioside, Rebaudioside A, Rebaudioside D, and Rebaudioside M. However, Stevioside and, to some extent, Rebaudioside A may exhibit a mild bitterness aftertaste. The biosynthesis involves intricate pathways and numerous genes, with UGT76G1 playing a crucial role. However, the complete understanding of downstream biosynthesis, particularly for Rebaudioside D and Rebaudioside M, remains a challenge. Indeed, steviol glycosides concentration and composition are inherently complex traits. In addition to these complexities, plant breeders must also consider other factors such as leaf area and yield in their studies and breeding efforts. Various breeding methods, including synthetic cultivars, transgressive segregation, polyploidy, mutagenesis, and genetic engineering are explored for efficacy. Additionally, research into microRNA and enzyme production studies, as well as understanding the interrelationship among steviol glycosides and morphological traits in stevia, holds promise for advancing SGs production.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107647"},"PeriodicalIF":4.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854468","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}
{"title":"Recent advances in localized surface plasmon resonance (LSPR)-based colorimetric and fluorescent nanosensors for the detection of organophosphorus pesticides","authors":"Mahdieh Sheikh, Hajar Shekarchizadeh","doi":"10.1016/j.jfca.2025.107653","DOIUrl":"10.1016/j.jfca.2025.107653","url":null,"abstract":"<div><div>Organophosphate pesticides (OPPs) are among the most widely used pesticides, posing significant environmental and health risks due to their persistence in water, soil, and food. Developing sensitive, rapid, and cost-effective detection methods is crucial for ensuring food safety and environmental protection. Colorimetric and fluorescent optical nanosensors leveraging localized surface plasmon resonance (LSPR) in plasmonic nanoparticles, including gold, silver, and copper nanostructures, have emerged as promising tools for OPP detection due to their rapid response, high sensitivity, selectivity, and real-time monitoring capabilities. Colorimetric nanosensors leverage LSPR-induced visible color shifts resulting from nanoparticle aggregation, anti-aggregation, enzymatic inhibition, nanoparticle growth, or etching-based mechanisms. In contrast, fluorescent nanosensors utilize plasmonic interactions to enhance or quench fluorescence signals. This review critically examines recent advancements in LSPR-based nanosensors, their detection mechanisms, advantages, and limitations. Moreover, the potential integration of these sensors with emerging technologies, such as machine learning, smartphone-based imaging, and paper-based platforms, is explored to enhance their field applicability. Addressing existing challenges, including sensor stability, selectivity, and large-scale production, will be key to developing next-generation pesticide detection systems with real-world applications in food safety and environmental monitoring.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107653"},"PeriodicalIF":4.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852159","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}
Lulu Wang , Meijie Yu , Yao Fu , Jianxun Zhu , Li Li , Xianghe Meng , Jiazhen Cao , Mengmeng Sun , Min He
{"title":"Investigation of processing duration on red ginseng quality utilizing delayed luminescence combined with chemometrics and immunomodulatory assessment","authors":"Lulu Wang , Meijie Yu , Yao Fu , Jianxun Zhu , Li Li , Xianghe Meng , Jiazhen Cao , Mengmeng Sun , Min He","doi":"10.1016/j.jfca.2025.107655","DOIUrl":"10.1016/j.jfca.2025.107655","url":null,"abstract":"<div><div>Red ginseng (RG) is a functional food with tonic benefits made by steaming ginseng. Its quality depends strongly on steaming duration, yet no standardized processing time exists. Therefore, rapidly, eco-friendly, and user-friendly analytical methods are needed to improve RG quality control. Delayed luminescence (DL) can reflect the internal changes caused by processing by detecting the photon emission characteristics of a substance. It has been applied to the quality assessment of crops and vegetables. We combined DL detection and chemometric methods to reveal the relationship between the internal changes and DL characteristics of RG with different steaming times. We also evaluated the functional properties of RG to compare the quality differences between samples. The results show decreasing DL decay curves and parameters (I0, T, Tau) with prolonged steaming. Chemometric and DL correlation analysis showed that there is a strong correlation between rare ginsenosides (Rg3, Rg5, Rk1) and DL parameters. Moreover, bioactivity test results showed that the three rare ginsenosides closely related to DL parameters may have more comprehensive immunomodulatory functions. Thus, DL effectively discriminates RG processed for different durations and helps characterizes potent rare ginsenosides. As a green, convenient, on-site detection technique, DL can provide robust support for RG quality control.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107655"},"PeriodicalIF":4.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847947","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}
Yue Li , Ke Yang , Wei Liu , Donggen Fang , Jiahui Zhang , Wenchuan Guo , Xinhua Zhu
{"title":"Determination of cow's milk fat content based on segmented dielectric relaxation parameters combined with characteristic variables","authors":"Yue Li , Ke Yang , Wei Liu , Donggen Fang , Jiahui Zhang , Wenchuan Guo , Xinhua Zhu","doi":"10.1016/j.jfca.2025.107623","DOIUrl":"10.1016/j.jfca.2025.107623","url":null,"abstract":"<div><div>Rapid and accurate online detection of cow's milk composition content is significant. This study aimed to clarify the correlation between dielectric relaxation parameters (DRPs) and fat content and explore methods to improve milk fat content prediction accuracy with segmented DRPs. Dielectric spectra were collected from 270 milk samples and divided into two relaxation segments using Cole-Cole plots. The segmented DRPs were obtained by fitting the segmented dielectric spectra using a modified Debye model. The prediction models for milk fat content based on segmented DRPs were built, and their performance was evaluated using root mean square errors of prediction set (RMSEP) and residual prediction deviation (RPD). The results showed an enhanced correlation between segmented DRPs and milk fat content. The prediction accuracy of the models with the segmented DRPs was higher than that of the unsegmented DRPs. The milk fat content prediction model based on the combination of the selected DRPs and successive projections algorithm (SPA) had the best prediction accuracy, with an RPD of 4.4 and an RMSEP of 2.05 g·kg<sup>−1</sup>. This study improved the prediction accuracy of milk fat based on the segmented DRPs combing with characteristic variables. This study provides a new method for accurately detecting complex systems such as cow's milk based on dielectric spectroscopy.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107623"},"PeriodicalIF":4.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854467","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}