{"title":"Pesticide residue levels in strawberries and human health risk assessment","authors":"Mehmet Keklik , Eylem Odabas , Ozgur Golge , Bulent Kabak","doi":"10.1016/j.jfca.2024.106943","DOIUrl":"10.1016/j.jfca.2024.106943","url":null,"abstract":"<div><div>Pesticides have been a primary tool in pest management worldwide. However, pesticide contamination is a major food safety risk in the fresh food supply chain. This study aims to monitor 240 pesticide residues in 245 strawberry samples and assess the health risk for Turkish adult and child consumer groups. Over three consecutive harvest years (2021–2023), strawberries were collected from farmers in the Aydın region of Turkey and analysed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Out of the 245 strawberry samples analysed, 61.6 % contained 32 different pesticides (17 fungicides and 15 insecticides), five of which were non-approved. Additionally, 6.5 % of the strawberry samples exceeded the European Union Maximum Residue Limits (MRLs). Multiple residues were recorded in 42.9 % of strawberry samples. Pyrimethanil was the most commonly identified pesticide (30.2 %), followed by boscalid (27.4 %), fluopyram (17.1 %), and bifenazate (15.1 %). In the worst-case scenario, cumulative exposure to pesticides through strawberry consumption was determined to be 6.5 × 10⁻⁵ mg kg⁻¹ b.w. day⁻¹ for adults and 2.0 × 10⁻⁴ mg kg⁻¹ b.w. day⁻¹ for children. The hazard index (HI) values, under the worst-case scenario, were calculated to be 0.32 % for adults and 0.97 % for children. These results indicate that there is no cause for concern regarding cumulative exposure to residues through strawberry consumption for the Turkish population.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106943"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661047","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":"Effect of various culinary treatments on the glycoalkaloid content of potato peel","authors":"Isabel Martínez-García , Damián Pérez-Quintanilla , Sonia Morante-Zarcero , Isabel Sierra","doi":"10.1016/j.jfca.2024.106937","DOIUrl":"10.1016/j.jfca.2024.106937","url":null,"abstract":"<div><div>Potatoes are one of the most consumed foods worldwide. During germination, glycoalkaloids (GAs) with potential bioactive properties are produced, which, at high concentrations, may have adverse health effects. Potato peels, a byproduct generated in large quantities but increasingly used in contemporary cuisine, contain significant levels of these GAs. This paper examines GA levels in potato peels after various culinary treatments (boiling, steaming, baking, air frying, conventional deep frying, and double frying) to provide new data and ensure food safety. An optimized extraction method using ultrasound-assisted extraction (UAE) was employed, followed by purification with mesostructured SBA-15 silica functionalized with octadecylsilane (C18) chains as sorbent in solid-phase extraction, prior to HPLC-DAD determination of α-solanine and α-chaconine levels in the samples. The method was validated, obtaining excellent recovery values (88 – 96 %) and low detection and quantification limits (0.3 and 1 mg/L, respectively). Upon application of the validated analytical method to the samples culinarily treated using the most common cooking techniques (boiling, steaming, baking, air frying, conventional deep frying, and double frying) at various times and temperatures, the obtained results demonstrated significant reductions (between 52 % and 84 %) in GAs content in the treated potato peels, compared to fresh samples. Statically significant degradation of these compounds was observed through baking at elevated times and temperatures (74 – 84 %), as well as both conventional deep frying and double frying (76 – 83 %).</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106937"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661055","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":"Determination of residual behavior of two fungicides in/on tomato and cucumber and their dietary intake risk assessment under open field conditions","authors":"Sapna Katna, Tanuja Banshtu, Arvind Kumar , Nisha Devi, Shubhra Singh, Isha Sharma, Sakshi Sharma","doi":"10.1016/j.jfca.2024.106939","DOIUrl":"10.1016/j.jfca.2024.106939","url":null,"abstract":"<div><div>A commercial formulation of fluoxapiprolin (30 g/L) and fluopicolide (200 g/L) as a suspension concentrate (SC) is under registration for its use on tomato and cucumber in India. Both of these active ingredients are fungicides used to control a variety of fungal diseases in crops. The field trials were laid out in an open field at the experimental farm of the university following good agricultural practice (GAP) during the summer of 2021. The study aimed to estimate pesticide residues using a modified QuEChERS method in combination with advanced analytical techniques like liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography with an electron capture detector (GC-ECD). The method showed excellent linearity (R² > 0.99) for fluoxapiprolin, fluopicolide and their metabolites in tomato, cucumber, and soil. The half-life value for fluoxapiprolin ranged between 5.86 and 7.05 days and for fluopicolide the half-life was between 1.62 and 1.98 days for tomato and cucumber, respectively. The recoveries ranged between 80 % and 120 % with a relative standard deviation <20 % for all the analytes. The dietary risk assessment was determined by using the hazard quotient and the HQs values were <1, proving its safety to the consumer.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106939"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661065","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":"NIR spectroscopy prediction model for capsaicin content estimation in chilli: A rapid mining tool for trait-specific germplasm screening","authors":"Deepika D.D. , Vedprakash Sharma , Manisha Mangal , Arpita Srivastava , Chithra Pandey , Himani Mehta , G.J. Abhishek , Racheal John , Hemlata Bharti , Rakesh Bharadwaj , R.K. Gautam , J.C. Rana , Gyanendra Pratap Singh , Vinod K. Sharma","doi":"10.1016/j.jfca.2024.106915","DOIUrl":"10.1016/j.jfca.2024.106915","url":null,"abstract":"<div><div>Chilli is a widely produced crop, highly valued for its capsaicin content, a key economic trait. Traditional wet chemistry methods for estimating capsaicin are time-taking and laborious, while non-destructive methods like NIRS coupled with chemometrics, offer efficient alternatives, simplifying and accelerating biochemical assessments. This study is the first to develop and validate and tested for applicability of NIRS-based prediction model for capsaicin content in Indian chilli germplasm using MPLS regression. Various mathematical treatments were performed, and the most suited model was selected based on high RSQ<sub>external</sub>, RPD and lower SEP values in the external validation set, indicating strong prediction accuracy and minimal error. The model achieved high RSQ<sub>external</sub> value of 0.808, RPD value of 2.088 and low SEP value of 3.415 for capsaicin content, demonstrating excellent prediction performance. A paired sample <em>t</em>-test <em>p</em>-value of 0.757 (<em>p</em> > 0.05) showed non-significant difference between wet lab and predicted values, confirming the model’s accuracy. The applicability of the model was validated on fresh harvest germplasm the following year, showing a higher reliability score of 0.949, further confirming model’s reliability. This model would aid in high-throughput, accurate screening of chilli germplasm for capsaicin, accelerating chilli crop improvement programs and the development of new high-capsaicin varieties.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106915"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660930","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":"An adsorbent of molecularly imprinted polymer incorporating graphene quantum dots to extract and determine bisphenols in soft drinks and milk","authors":"Sirintorn Jullakan , Sarawut Khongkla , Opas Bunkoed","doi":"10.1016/j.jfca.2024.106938","DOIUrl":"10.1016/j.jfca.2024.106938","url":null,"abstract":"<div><div>A highly selective magnetic composite adsorbent composed of graphene quantum dots (GQDs) and molecularly imprinted polymer (MIP) was fabricated and applied for the extraction and quantification of three bisphenols in soft drink and milk samples. Magnetite nanoparticles incorporated into the MIP enabled the adsorbent to be isolated from the sample solution with a magnet. The extraction efficiency toward target bisphenols was enhanced by the selective recognition sites of the MIP layer and also the abundant adsorption sites in GQDs. In the optimum condition, the composite adsorbent coupled with high-performance liquid chromatography (HPLC) exhibited linearity in the range of 10.0–200.0 µg L<sup>−1</sup>. The limit of detection was 3.0 µg L<sup>−1</sup> while the limit of quantification was 10.0 µg L<sup>−1</sup>. Applied to determine bisphenols in real samples, the proposed method achieved relative recoveries from 84.3 % to 94.9 % with relative standard deviations (RSDs) of less than 7 %. The proposed method is simple, rapid, efficient and accurate. The adsorbent can be reused for up to four extraction and desorption cycles, thus reducing the cost of analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106938"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661045","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}
Qian Zhang , Guishan Liu , Qingqing Cao , Xiaoxue Li , Yuqin Feng , Jiajun Guo , Mei Guo
{"title":"Influence of processing factors on quality and heterocyclic amines content in roast mutton granules","authors":"Qian Zhang , Guishan Liu , Qingqing Cao , Xiaoxue Li , Yuqin Feng , Jiajun Guo , Mei Guo","doi":"10.1016/j.jfca.2024.106941","DOIUrl":"10.1016/j.jfca.2024.106941","url":null,"abstract":"<div><div>Using the best conditions of QuEChERS with superior performance, 7 kinds of HAAs were quickly extracted from roasted mutton granules. Subsequently, the effects of different roasting time, temperature and oil on quality, fatty acid, precursor substance and HAAs content of roasted mutton granules were studied. The results showed that with the increase of roasting temperature and time, the hardness, chewability, <em>b*</em> and <em>L*</em> were significantly decreased, while the <em>a*</em> and cohesiveness were significantly increased (<em>P</em> < 0.05). With the extension of roast time, creatine content first increased and then significantly decreased (<em>P</em> < 0.05), which was converted to creatinine. Creatine increased with the increase of processing temperature, creatinine showed an overall downward trend, and glucose content significantly decreased, and then stabilized at a lower level with the extension of roasting time. The glucose content of rapeseed oil was the highest and soybean oil was the lowest. Soybean oil samples had the highest creatine content and the corresponding creatinine content was also the lowest. HAAs also showed an increasing trend with the increase of roasting time and temperature, and five vegetable oils to some extent inhibit the formation of HAAs in actual foods (except PhIP). The maximum inhibition rates for Norharman, Harman, IQ, MeIQ, MeIQx and AαC were 12.06 %, 23.93 %, 142.13 %, 18.75 %, 16.58 % and 53.98 %, respectively.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106941"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661044","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":"Development of a simple and economical analytical method for investigating the distribution of astaxanthin E/Z-isomers in foods and cosmetics","authors":"Antara Ghosh , Yasuhiro Nishida , Takashi Maoka , Chiasa Uragami , Hideki Hashimoto , Masaki Honda","doi":"10.1016/j.jfca.2024.106932","DOIUrl":"10.1016/j.jfca.2024.106932","url":null,"abstract":"<div><div>Astaxanthin has many theoretical <em>E</em>/<em>Z</em>-isomers, making separation and accurate analysis challenging, especially because of their structural similarities and polarities. The present study developed a simple and cost-effective reversed-phase high-performance liquid chromatography (HPLC) method to separate major astaxanthin isomers efficiently (i.e., the all-<em>E</em>-, 9<em>Z</em>-, 13<em>Z</em>-, and 15<em>Z</em>-isomers) and assess their distribution in various foods, processed products, edible insects, and cosmetics. Various HPLC columns (C18, C30, and cholesteryl-bonded silica) and mobile phase mixtures at different column oven temperatures were examined. Our developed method, using a C18 column (C18-HPLC), successfully separated the major isomers of astaxanthin at 30 °C in isocratic mode with methanol/H<sub>2</sub>O (92.5:7.5, v/v) within 20 min. This method also minimizes the chromatographic interference from other dietary carotenoids. Additionally, although the C30 column allowed the efficient separation of astaxanthin isomers, it required the use of highly toxic and volatile mobile phase solvents, such as methyl <em>tert</em>-butyl ether and dichloromethane, as well as longer run times. The optimized C18-HPLC method provided an accurate assessment of astaxanthin isomers in commercially available foods, revealing higher isomer ratios in cooked samples than in raw samples. In conclusion, the developed C18-HPLC method is a simple, efficient, cost-effective, and rapid tool for astaxanthin isomer analysis.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106932"},"PeriodicalIF":4.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661061","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}
Xu Zhang , Xiaoqian Zhan , Wenyu Liu , Ting Wang , Ting Zhang , Changqing Wei
{"title":"Prolonging the oxidative stability of walnut oil by endogenous antioxidants: Phytosterol compounding for improved antioxidant capacity","authors":"Xu Zhang , Xiaoqian Zhan , Wenyu Liu , Ting Wang , Ting Zhang , Changqing Wei","doi":"10.1016/j.jfca.2024.106931","DOIUrl":"10.1016/j.jfca.2024.106931","url":null,"abstract":"<div><div>Walnut oil, loaded with unsaturated fatty acids, offers significant health advantages yet is greatly vulnerable to oxidative spoilage.The investigation explored the impact of four oil extraction techniques on the inherent antioxidants, fatty acid profiles, antioxidant efficacy, and oxidation stability index (OSI) of walnut oil. The investigation utilized variance analysis coefficients and partial least squares regression analyses were conducted. It identified <em>β</em>-sitosterol and stigmasterol as crucial inherent antioxidant compounds. The maximal concentrations achieved through hot pressing were 943.16 mg/kg for <em>β</em>-sitosterol and 121.54 mg/kg for stigmasterol. Stigmasterol contribution to the DPPH radical scavenging activity was found to be 0.8224 in PLS1 (R<sup>2</sup>>0.95). Consequently, the combined effect of these antioxidants on the OSI was tested., revealing that a 2:1 ratio of these substances, under conditions of 45 ℃ ultrasound temperature and 27 minutes ultrasound duration(<em>p</em><0.05), im<em>p</em>roved the OSI from 2 to 6.42.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106931"},"PeriodicalIF":4.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661056","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}
Xinjun Hu , Mingkui Dai , Jianheng Peng , Jiahao Zeng , Jianping Tian , Manjiao Chen
{"title":"Rapid sorghum variety identification by hyperspectral imaging combined with super-depth-of-field microscopy","authors":"Xinjun Hu , Mingkui Dai , Jianheng Peng , Jiahao Zeng , Jianping Tian , Manjiao Chen","doi":"10.1016/j.jfca.2024.106930","DOIUrl":"10.1016/j.jfca.2024.106930","url":null,"abstract":"<div><div>Sorghum, as the primary raw material for brewing, has varieties that are crucial to the quality and yield of the brewing process. To accurately identify and classify different sorghum varieties, a Two-Dimensional Feature Adaptive Convolution Model (DD-FACM) based on data acquired by Hyperspectral imaging (HSI) and 3D Super-Depth-of-Field Microscopy was built. The experimental results demonstrated that the DD-FACM that was built using the combined spectral data and super-depth-of-field image data achieved 100 % accuracy in the identification of 5 varieties of sorghum grains, which was 8 %, 4.2 %, and 4.1 % higher than the classification accuracies of the support vector machine (SVM) model that was built based only the spectral data, the EfficientNet_B3 model built using only the depth-of-field image data, and the DD-FACM built using the combination of the HSI(spectral and RGB image) data, respectively. To verify the effectiveness of the DD-FACM's feature extraction, the extracted features were visualized using t-distributed stochastic neighbor embedding (t-SNE). The results indicated that the DD-FACM based on the spectral data and the image data could achieve the rapid, accurate, and non-destructive identification of different sorghum varieties. This study not only provides brewing enterprises with an efficient method for sorghum variety identification but also offers technical support for variety identification research in related fields.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106930"},"PeriodicalIF":4.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661051","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}
Ting Shi , Gangcheng Wu , Qingzhe Jin , Xingguo Wang
{"title":"1H NMR and chemical analysis to characterize camellia oil obtained by different extraction methods: A comparative study using chemometrics","authors":"Ting Shi , Gangcheng Wu , Qingzhe Jin , Xingguo Wang","doi":"10.1016/j.jfca.2024.106926","DOIUrl":"10.1016/j.jfca.2024.106926","url":null,"abstract":"<div><div>Camellia oil has become one of the most popular edible vegetable oils especially in China. It can be obtained by cold-pressing (CPE), soxhlet extraction (SE), aqueous enzymatic extraction (AEE), and supercritical carbon dioxide extraction (SC-CO<sub>2</sub>), while research on their efficient identification is limited. Thus, in this study, proton nuclear magnetic resonance (<sup>1</sup>H NMR) and conventional chemical analysis, respectively coupled to chemometrics, were employed to compare the camellia oils, produced by CPE, SE, AEE, and SC-CO<sub>2</sub>. The results showed an obviously overlapping among those four different extracted camellia oils, in both principal component analysis (PCA) and hierarchical clustering analysis (HCA), when using fatty acids as input variables. While two obtained PCA models showed good discrimination, according to the minor component compositions (α-tocopherol, squalene, stigmasterol, β-sitosterol, β-amyrin and lanosterol) and <sup>1</sup>H NMR spectra, respectively. Additionally, by means of variable importance for the projection (VIP) scores, less 10 dominant <sup>1</sup>H NMR spectra signals were screened out as detailed markers for different camellia oils classification. Therefore, <sup>1</sup>H NMR combined with chemometrics may be applied as an efficient technique to classify different extracted camellia oils and potentially other vegetable oils.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106926"},"PeriodicalIF":4.0,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142661064","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}