{"title":"Method development for quantification of iodine in food for special medical purposes (FSMP) after microextraction by Bi-SBA-15 based matrix solid-phase dispersion","authors":"Baorui Li, Jingya Qin, Qian Li, Xiuxiu Wang, Aizhen Zong, Fangling Du, Tongcheng Xu","doi":"10.1016/j.jfca.2025.107674","DOIUrl":"10.1016/j.jfca.2025.107674","url":null,"abstract":"<div><div>In this study, bismuth (Bi)-embedded SBA-15 mesoporous silica was synthesized, characterized and used as adsorbent for matrix solid phase dispersion (MSPD) of iodine in whole nutritional formula foods, subsequently determined by inductively coupled plasma mass spectrometry (ICP-MS). The experimental conditions for the MSPD were firstly investigated, utilizing a mass ratio of sample to Bi-SBA-15 at 3:3, with 200 mM [C12mim]Br as the elution solvent and a grinding time of 2 min. Meanwhile, interference studies revealed that the presence of cations (K<sup>+</sup>, Na<sup>+</sup>, Ca<sup>2+</sup>) could significantly decrease the analytical signal, prompting the implementation of a cation-exchange procedure. Under optimum experimental conditions, analytical performance of Bi-SBA-15 based MSPD-ICP-MS for iodine detection was evaluated in terms of limit of detection (LOD) and limit of quantification (LOQ), which was 0.03 μg/kg and 0.21 μg/kg respectively. To evaluate the accuracy and applicability of this method, a recovery study was conducted on commercial foods for special medical purposes (FSMP), with recoveries ranging from 95.5 % to 106 %. Therefore, the application of SBA-15 based matrix solid-phase dispersion would attract significant attention for separation and preconcentration of total iodine in complex food samples such as foods for special medical purposes (FSMP).</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107674"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869780","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}
Jue Li , Hao Liu , Mahila Ablikm , Haoran Yuan , Huiqin Liu , Qingfeng He
{"title":"Immobilisation of esterase purified from mung bean (Vigna radiata L. Wilczek) onto chitosan/glutaraldehyde/glycine and its application in bi-enzyme colorimetric assay for dichlorvos detection","authors":"Jue Li , Hao Liu , Mahila Ablikm , Haoran Yuan , Huiqin Liu , Qingfeng He","doi":"10.1016/j.jfca.2025.107665","DOIUrl":"10.1016/j.jfca.2025.107665","url":null,"abstract":"<div><div>Reliable methods for detecting organophosphorus pesticides (OPs) are urgently demanded to guarantee food safety. Herein, a purified alpha-naphthyl acetate esterase from mung bean (mANAE) was prepared and successfully immobilized on the functionalized chitosan (CTS)-glutaraldehyde(GA)-glycine(Gly). Superior to free enzymes, the immobilized enzyme exhibited more excellent surface morphology characteristics, pH and temperature stability, higher affinity to α-naphthol acetate (1-NA). Furthermore, a new colorimetric method was firstly developed by using the immobilized mANAE (I-mANAE) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>)/horse radish peroxidase (HRP)/3,3′,5,5′-tetramethylbenzidine (TMB) color system. This method gives an associated response of inhibition ratio that is linearly proportional to the concentrations (10–100 ng/mL) of dichlorvos (DDVP), with a low limit of detection (1.32 ng/mL). Moreover, the performance of the method was challenged for DDVP detection in real agricultural products (cabbage, tomato and jujube) with excellent recoveries. The results indicated the advantages of the constructed method (strong stability, low cost, high sensitivity, ease of visual identification), which provide a promising alternative for the screening of OPs in foods.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107665"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873929","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}
Maria F. Mujica-Coopman , Angela Martínez-Arroyo , Natalia Rebolledo , Daiana Quintiliano-Scarpelli , Marcela Reyes
{"title":"Development and feasibility of a 24-hour recall software to characterize the Chilean diet","authors":"Maria F. Mujica-Coopman , Angela Martínez-Arroyo , Natalia Rebolledo , Daiana Quintiliano-Scarpelli , Marcela Reyes","doi":"10.1016/j.jfca.2025.107660","DOIUrl":"10.1016/j.jfca.2025.107660","url":null,"abstract":"<div><div>Dietary assessment is critical for tracking nutritional improvements, especially among vulnerable groups. However, the availability of local software to collect dietary information using a standardized approach is limited. We documented the development of the 24-hour recall software (SER-24H) designed to collect locally based information on dietary intake and food habits, and 2) the experience of its use. The SER-24H collects dietary intake information from participants in Chilean cohorts. The development of the SER-24H involved: 1) organizing the food and recipe database, 2) linking foods to nutrient content databases, and 3) converting to portion sizes. In addition, a pilot study was conducted with Chilean dietitians (n = 73) to explore their experience of using the SER-24H. The SER-24H contains > 7000 food items and > 1400 culturally based recipes. Benefits of using the SER-24H include the availability of locally relevant foods, estimation of food intake for each meal and nutrient sources. Dietitians found the SER-24H easy to use and useful. However, registering new foods was a challenge. Our work showed that developing locally based dietary intake software is feasible, but not without challenges. Given the current epidemic of diet-related chronic non-communicable diseases, the development of this type of data collection tool is imperative.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107660"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883113","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}
Jia Wei , Yi Zhang , Wangui Peng , Weihong Huang , Yunfei Cao , Wenming Yang , Wanzhen Xu
{"title":"Co-doped Bi2MoO6 lattice distortion strategy-based photoelectrochemical sensors for highly sensitive detection of profenofos residues in milk and cabbage","authors":"Jia Wei , Yi Zhang , Wangui Peng , Weihong Huang , Yunfei Cao , Wenming Yang , Wanzhen Xu","doi":"10.1016/j.jfca.2025.107675","DOIUrl":"10.1016/j.jfca.2025.107675","url":null,"abstract":"<div><div>Pesticide residues in food pose significant risks to human health, necessitating accurate monitoring methods. To address this, a lattice distortion strategy-based highly sensitive photoelectrochemical (PEC) sensor was developed for profenofos (PFF) detection. Substitution of Bi<sup>3 +</sup> with Co<sup>2+</sup> in the Bi<sub>2</sub>MoO<sub>6</sub> lattice induced enhanced lattice distortions and oxygen vacancies, reducing the bandgap and dramatically improving visible-light absorption and charge transfer efficiency. These modifications synergistically boosted PEC performance, with 4 % Co-doped Bi<sub>2</sub>MoO<sub>6</sub> achieving optimal results, including a reduced narrowed bandgap (2.28 eV) and a significantly enhanced photocurrent density compared to pristine Bi<sub>2</sub>MoO<sub>6</sub>. The sensor exhibited a broad linear detection range (0.5 mg L<sup>−1</sup> to 0.01 ng L<sup>−1</sup>) and an ultralow detection limit of 3.3 pg L<sup>−1</sup>, demonstrating excellent sensitivity and selectivity in real food samples. This work presents an innovative efficient, non-toxic, and eco-friendly tool for pesticide residue detection, paving new avenues for food safety monitoring and public health protection.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107675"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864265","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}
Xiaoxuan Wang , Yunzhe Zhang , Hui Di , Congyan Qi , Hui Xu , Xin Lu , Guoqiang Shi , Shumei Cheng , Wei Zhang
{"title":"Detection of Salmonella in food by SG4MB/SRCA based colorimetric biosensor","authors":"Xiaoxuan Wang , Yunzhe Zhang , Hui Di , Congyan Qi , Hui Xu , Xin Lu , Guoqiang Shi , Shumei Cheng , Wei Zhang","doi":"10.1016/j.jfca.2025.107677","DOIUrl":"10.1016/j.jfca.2025.107677","url":null,"abstract":"<div><div><em>Salmonella</em> is one of the most common foodborne pathogens and its rapid detection is important for food safety. In this study, we used a novel approach, combining the saltatory rolling circle amplification (SRCA) technology with the split G-quadruplex molecular beacon (SG4MB), to develop the SG4MB/SRCA colorimetric biosensor for the detection of <em>Salmonella</em>. Sensitive analysis of <em>Salmonella</em> was achieved by changing the spatial position of split G-quadruplex sequences in SG4MB, and the results could be qualitatively detected by visualization or quantitatively detected by measuring absorbance. The biosensor showed good linearity for the detection of <em>Salmonella</em> in the range of 5.2 × 10<sup>1</sup>∼5.2 × 10<sup>6</sup> CFU/mL, with an LOD of 4.33 CFU/mL. Furthermore, the biosensor showed satisfactory specificity and demonstrated good recoveries (95.0 %∼105.4 %) in manually spiked milk samples. Therefore, the biosensor is characterized by high sensitivity, accuracy and reliability for the detection of <em>Salmonella</em> in food and has the potential for a wide range of applications.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107677"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870075","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":"The prediction of kiwi quality attributes based on multi-source data fusion comprehensive analysis model using HSI and FHSI","authors":"Yuchen Xiao , Dongyu Yuan , Zhiyong Zou , Menghua Li, Qianlong Wang, Jiangbo Zhen, Huan Wang, Quqing Ku, Jiajun Jiang, Lijia Xu","doi":"10.1016/j.jfca.2025.107645","DOIUrl":"10.1016/j.jfca.2025.107645","url":null,"abstract":"<div><div>The soluble solid content (SSC), dry matter content (DMC), and hardness (HD) are widely recognized as important indicators for evaluating the quality of kiwi. In this study, a multi-source data fusion model was constructed using hyperspectral imaging (HSI) and fluorescence hyperspectral imaging (FHSI) technologies, combined with chemometric methods, for the comprehensive evaluation of kiwi quality attributes. Specifically, median filtering (MF) was used for data preprocessing, and support vector regression (SVR), partial least squares regression (PLSR), and convolutional neural network-long short-term memory network (CNN-LSTM) were employed to predict the SSC, DMC, and HD of kiwi. Additionally, the whale optimization algorithm (WOA) was used to optimize the CNN-LSTM to further enhance model performance. The results demonstrated that the WOA-CNN-LSTM, based on the fusion strategy, achieved the best prediction performance. Moreover, compared to traditional models, the WOA-CNN-LSTM exhibited superior performance in handling the high-dimensional data of the fusion model, with significant improvements in prediction performance, with R² increasing by 7.29 %-25.67 %. In conclusion, the deep learning optimization model based on the multi-source data fusion strategy using HSI and FHSI offers a rapid, non-destructive, and efficient solution for predicting the quality parameters of kiwi, providing an innovative and effective approach for fruit quality monitoring.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107645"},"PeriodicalIF":4.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864267","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":"Phthalate esters in tap water in Ağrı, Turkey: A descriptive cross-sectional study on daily exposure and health risk assessment for adults","authors":"Merve Ekici , Gursel Isci , Ayse Berivan Bakan","doi":"10.1016/j.jfca.2025.107639","DOIUrl":"10.1016/j.jfca.2025.107639","url":null,"abstract":"<div><div>The research aimed to investigate the presence of phthalate esters (PAEs) in tap water samples from Ağrı province, Turkey, and evaluate the associated health risks. Among the analyzed PAEs, DNOP (11.04 ± 5.87 ng/mL), DINP (11.14 ± 5.55 ng/mL), DBP (7.96 ± 5.10 ng/mL), BBP (0.92 ± 0.12 ng/mL), DMP (11.30 ± 18.57 ng/mL), DIDP (9.80 ± 4.89 ng/mL), DEP (17.90 ± 0.98 ng/mL), and DEHP (10.39 ± 4.52 ng/mL) were found to be the most prevalent plasticizers in the tap water samples. Health risk assessments indicated that the estimated daily intake (EDI) values for PAEs were significantly lower than regulatory limits, with exposure levels well below the group tolerable daily intake (TDI) of 50 μg/kg BW/day. The target hazard quotient (THQ) for PAEs in tap water was below 1, suggesting no significant non-carcinogenic risks, while the Carcinogenic Risk (CR) for DEHP and BBP was negligible, with CR values well below the threshold of 1 × 10⁻⁶. The average EDI for both males and females remained 10–100 times lower than EFSA's TDI values, indicating minimal health risks. In conclusion, while PAEs were detected in tap water, their concentrations were within safe limits, and no significant carcinogenic or non-carcinogenic risks were identified, confirming the safety of tap water consumption according to current guidelines.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107639"},"PeriodicalIF":4.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859639","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":"Nutritional and mineral composition of Amaranthus caudatus leaves in Wolaita Zone, Southern Ethiopia","authors":"Tesfaye Haile Habtemariam, Bruktayt Kumalo Dana","doi":"10.1016/j.jfca.2025.107641","DOIUrl":"10.1016/j.jfca.2025.107641","url":null,"abstract":"<div><div><em>Amaranthus caudatus</em> (<em>Amaranth</em>) is a reliable crop that thrives in diverse conditions, including moisture stress and waterlogging. It is highly tolerant of arid environments and faces few plant diseases, making it an important food crop. This study aimed to determine the levels of certain metals and the nutritional value of <em>Amaranthus caudatus</em> leaves grown in the Wolaita Zone, Southern Ethiopia. Samples were collected from three areas (Boloso Bombe, Abala Abaya, and Areka) in August 2023. Metal determination was performed using flame atomic absorption spectrometry. The concentrations of the metals (in mg/100 g) were: Mg (47.61–50.26), K (240.43–264.51), Ca (220.64–232.82), Cr (0.0120 – 0.0298), Mn (6.80–8.88), Fe (7.01–8.44), Cu (4.82–6.01), and Zn (1.93–3.44) which are generally consistent with or higher than those reported in other studies, indicating that <em>Amaranthus caudatus</em> is a significant accumulator of essential metals. The proximate analysis ranges are as follows: moisture content (13.72–19.16 %), protein content (12.87–18.36 %), crude fiber content (9.79–11.63 %), crude fat content (3.993–7.14 %), total ash content (1.693–5.93 %), carbohydrate content (38.76–57.91 %), and energy value (292.82–319.10 kcal/100 g). The study revealed that <em>Amaranthus caudatus</em> leaves are nutrient-dense, containing essential metals and beneficial for a balanced diet. Notably, while the seeds of <em>Amaranthus caudatus</em> are typically preferred in the locality, the leaves are not commonly consumed. This study aims to raise awareness about the nutritional benefits of the leaves, encouraging their inclusion in the local diet for a more balanced nutrition.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107641"},"PeriodicalIF":4.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854576","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":"Laser induced breakdown spectroscopy as an emerging technique for olive oil, milk and honey authentication and traceability: A review","authors":"Eleni Nanou, Nefeli Pliatsika, Dimitrios Stefas, Dimitrios Polygenis, Stelios Couris","doi":"10.1016/j.jfca.2025.107650","DOIUrl":"10.1016/j.jfca.2025.107650","url":null,"abstract":"<div><div>Economic-driven food fraud has raised global concerns, prompting regulatory agencies and consumers to demand greater food transparency. Ensuring food authenticity and preventing fraud requires efficient analytical techniques that operate reliably and fast, both online and/or in situ. The present study reviews the progress made during the last years and the current state-of-the-art of Laser Induced Breakdown Spectroscopy (LIBS) assisted by machine learning, for the authentication and traceability of foodstuffs. Emphasis is given to the geographical and/or animal and/or botanical origin identification/classification, the detection of adulteration, and the quality control of three essential foodstuffs, namely, olive oil, milk, and honey. The findings of the reviewed studies demonstrate the great potential of LIBS, combined with machine learning, for the efficient quality control of foodstuffs, providing a rapid, non-destructive approach for food authentication.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107650"},"PeriodicalIF":4.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859534","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}
Alexandra M. Machado , Joana Marto , Lídia Maria Gonçalves , Helena Margarida Ribeiro , Aida Duarte , Andreia Tomás , Soraia I. Falcão , Miguel Vilas-Boas , Maria Graça Miguel , Ana Cristina Figueiredo
{"title":"Antimicrobial and wound healing effects associated to cytocompatibility and the relationship with phytochemical profile of selected Portuguese monofloral honeys","authors":"Alexandra M. Machado , Joana Marto , Lídia Maria Gonçalves , Helena Margarida Ribeiro , Aida Duarte , Andreia Tomás , Soraia I. Falcão , Miguel Vilas-Boas , Maria Graça Miguel , Ana Cristina Figueiredo","doi":"10.1016/j.jfca.2025.107659","DOIUrl":"10.1016/j.jfca.2025.107659","url":null,"abstract":"<div><div>Owing to its applications in both food and pharmaceutical industries honey is regarded as a functional product. This study evaluated 32 Portuguese monofloral honeys and their activity was compared with manuka honey 850 + .</div><div>The antimicrobial activity was determined against Gram-positive and negative bacteria, and yeast. Antioxidant activity, wound healing ability, and cell viability were studied in the human keratinocyte cell line (HaCaT). Phytochemical profile analysis was performed by UPLC/DAD/ESI-MS<sup><em>n</em></sup>.</div><div>Chestnut, bell heather, eucalyptus, manuka, and strawberry tree honeys demonstrated higher antioxidant activity and were effective against <em>S. aureus</em>. Incense and orange honeys showed wound healing rates of 89 % and 86 %, respectively. All the honeys had cell viability above 76 %. Bell heather and strawberry tree honeys showed the highest total phenolic content, while incense and orange honeys, showed the lower ones. Phytochemical profile analysis evidenced two main clusters, one dominated by isoprenoids and norisoprenoids, as well as phenolic acids and derivatives, while the other included flavonoids as main compounds.</div><div>Blending different Portuguese monofloral honeys may be an alternative to faster wound healing, by combining their diverse bioactive components. The gathered knowledge can be further explored in formulations that consider the biological activity capacity and composition of each honey.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107659"},"PeriodicalIF":4.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886536","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}