Journal of Food Composition and Analysis最新文献

{"title":"Guiding trust: The role of labeling information in the market for gluten-free pasta (2019–2023)","authors":"","doi":"10.1016/j.jfca.2024.106766","DOIUrl":"10.1016/j.jfca.2024.106766","url":null,"abstract":"<div><p>Labeling transparency is crucial in today's consumer landscape, ensuring informed choices and trust. Food labels are the first piece of information consumers have and become critical when foods must meet dietary restrictions. With its widespread consumption, gluten-free pasta is a fitting model to evaluate labels’ contribution to food literacy. The scope of this study is to examine the clean status and transparency of gluten-free pasta labels in the global marketplace analyzing by ingredient composition, nutritional facts, nutritional claims, and the implementation of quantitative ingredient declarations (QUID). To achieve this, Mintel Global New Product Database (GNPD) was used to retrieve a total of 1188 products sold from 2019 to 2023. Findings revealed variations in gluten-free pasta ingredients, with fresh and dry types varying in nutrients. Branded and private-label pasta differed in salt content, while pulses-based pasta was fiber and protein-rich but pricier. Organic pasta did not consistently show superior qualities, and whole grains did not change nutrition or price. Vegan options were similar in nutrition and price to vegetarian choices. While nutritional claims generally complied with regulations, inconsistent use of QUID highlighted the need for stricter labeling standards to ensure product transparency and support consumer decision-making. Our findings underline the critical role of clear and accurate labeling in empowering consumers and advocating for enhanced regulatory oversight.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242105","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":"Impact of salinity on PAH and halogenated PAH contamination and risks during the pickling of Chinese pickles","authors":"","doi":"10.1016/j.jfca.2024.106764","DOIUrl":"10.1016/j.jfca.2024.106764","url":null,"abstract":"<div><p>In this study, solid-phase extraction coupled with gas chromatography–triple quadrupole mass spectrometry was used for analyzing PAHs and XPAHs in pickles. The concentrations were 43.0±3.9 μg/kg for PAH24 (including EPA PAH 16 and EU PAH15+1) and 0.52±0.07 μg/kg for XPAH18 (including 11 chlorinated PAHs and 7 brominated PAHs) in commercially available xuecai, and 28.3±8.7 μg/kg for PAH24 and 0.25±0.11 μg/kg for XPAH18 in laboratory-pickled radish. Throughout the pickling process, concentrations of PAHs generally decreased, while XPAHs in xuecai and chlorinated PAHs (ClPAHs) in radish initially increased before declining. The elevated ClPAH levels in fermented radish compared to their unfermented counterparts, along with the newly formed 1-chlorinated pyrene in xuecai, highlighted the generation of ClPAHs during pickling. At lower salinity levels, the greater reduction in concentrations of PAHs corresponds with the largest increase in ClPAHs, suggesting potential chlorination of some PAHs into ClPAHs <em>via</em> microbial activity. Although concentrations of ClPAHs rose after pickling, the toxic equivalent quotients of PAH42 (including PAH24 and XPAH18) in pickles after fermentation were lower than those in both unfermented and fermenting samples, indicating that mature pickles did not increase the overall toxicity risk associated with PAHs and XPAHs.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242103","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 sodium, chlorine, and bromine concentrations in breast milk using neutron activation: Correlation, regression, and machine learning predictions","authors":"","doi":"10.1016/j.jfca.2024.106754","DOIUrl":"10.1016/j.jfca.2024.106754","url":null,"abstract":"<div><p>Breast milk plays a vital role in infant health, providing essential nutrients that directly impact nutrition and development. Understanding its elemental composition, as well as the relationships among these elements, is crucial for assessing its nutritional adequacy. This study focused on determining the concentrations of sodium (Na), chlorine (Cl), and bromine (Br) in the breast milk of lactating mothers in Tehran, Iran, during early lactation. The primary objectives were to analyze the concentrations of these elements, investigate their interrelationships, and employ machine-learning techniques to predict their concentrations in breast milk. Neutron activation analysis (NAA) was used to precisely measure the levels of Na, Cl, and Br, while statistical methods, including correlation and regression analyses, were applied to further explore these relationships. Machine-learning models, specifically Random Forest and Linear Regression, were utilized to predict the concentrations of these elements based on their interdependencies. The study revealed mean concentrations of 5.12 mg/g for Na, 8.14 mg/g for Cl, and 11.84 mg/kg for Br in the breast milk samples. A strong positive correlation was observed between Na and Cl (r = 0.976, p &lt; 0.001), while moderate positive correlations were found between Na and Br (r = 0.558, p &lt; 0.001) and Cl and Br (r = 0.606, p &lt; 0.001). Multiple regression models showed that 94.7 % of the variance in Na concentration could be explained by Cl and Br levels (R-squared = 0.947), with a strong positive association between Cl and Na, and a slight inverse relationship between Br and Na. A similar model for Cl concentrations showed strong predictive power, with Na being a significant predictor. However, the model for Br concentrations explained a smaller proportion of variance (R-squared = 0.318), suggesting that additional factors influencing Br levels were not captured in this study. Furthermore, multicollinearity was observed between Na and Cl (VIF = 20.675), indicating potential interactions between these elements. This study highlights the significant correlations between Na, Cl, and Br in breast milk, with particularly strong predictive models for Na and Cl concentrations. The findings also suggest the need for further investigation into the factors affecting Br concentrations. Overall, this research provides valuable insights into the elemental composition of breast milk and its implications for infant nutrition and health.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242266","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 investigation on non-volatile and volatile flavor compounds in different varieties of rose tea by UPLC-Q-TOF-MS/MS-based metabolomics and GC-IMS, GC-MS","authors":"","doi":"10.1016/j.jfca.2024.106708","DOIUrl":"10.1016/j.jfca.2024.106708","url":null,"abstract":"<div><p>This study aimed to analyze the quality differences of different varieties of rose tea. Ultra-high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to detect the metabolites in different varieties of rose to find out the differential metabolites.Forty-four phenylpropionic acid and polyketone compounds were found to the main differential metabolites in 6 different varieties of roses. Gas chromatography ion mobility spectrometry (GC-IMS) results revealed the presence of 15 potential differential compounds among different varieties of roses, with 1-penten-3-one (monomer) and ethyl propionate being the two most significantly different substances among the six different varieties of roses. GC-MS analysis of volatile flavor compounds in different varieties of rose tea showed that the concentrations of aldehydes, alcohols, alkanes, and phenols in XS rose tea were the highest, being 4.133 µg/g, 14.873 µg/g, 3.039 µg/g, and 2.399 µg/g, respectively. The concentrations of ketones, heterocyclic compounds, and ethers in KS rose tea are the highest, being 4.344 µg/g, 0.752 µg/g, and 0.234 µg/g, respectively. Phenyl-ethanol, citronellol, octanoic acid ethyl ester, and decanoic acid ethyl ester are considered to be the main factors in the formation of characteristic aromas in different varieties of rose tea.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242259","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":"Evaluating dietary exposure and risk characterization of aflatoxin B1, citrinin, and ochratoxin A co-occurrence in pigmented rice consumed in Thailand","authors":"","doi":"10.1016/j.jfca.2024.106755","DOIUrl":"10.1016/j.jfca.2024.106755","url":null,"abstract":"<div><p>In recent years, pigmented rice, often referred to as functional rice, has attracted increasing attention due to its perceived health benefits arising from an abundance of phytochemicals. However, there is limited information on the occurrence and risks of mycotoxins due to long-term consumption of pigmented rice. This study assessed the co-occurrence and contamination levels of aflatoxins, citrinin (CIT), and ochratoxin A (OTA) in various pigmented rice samples sourced from Thailand, and also evaluated the potential health risks for consumers. The results indicated varying levels of mycotoxin contamination among the different tested pigmented rice varieties, with aflatoxin B1 (AFB1) being the most prevalent (39.1 %), followed by CIT (17.3 %) and OTA (14.5 %). The co-occurrences of AFB1-CIT and CIT-OTA were the most prevalent combination observed in the pigmented rice samples. Although the AFB1 and CIT levels remained below regulatory limits, some samples had OTA levels exceeding these limits, though by a small percentage. Furthermore, the anthocyanin content in pigmented rice showed a weak positive correlation with the AFB1 level (<em>p</em> &lt; 0.05). The estimated risk of liver cancer incidence associated with the consumption of pigmented rice containing AFB1 was in the range 0.012–0.061 cases/100,000 persons/year, depending on consumption rate and behavior. The risk posed by CIT exposure was considered negligible. However, the exposure assessments suggested a potential risk of OTA exposure, particularly in scenarios with higher consumption rates. Cumulative risk assessment of AFB1-OTA co-occurrence indicated an amplified health risk compared to single mycotoxin exposure. These findings offer valuable evidence, encouraging further research aimed at mitigating the risks associated with mycotoxin contamination in pigmented rice.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242265","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":"Non-destructive geographical traceability of American ginseng using near-infrared spectroscopy combined with a novel deep learning model","authors":"","doi":"10.1016/j.jfca.2024.106736","DOIUrl":"10.1016/j.jfca.2024.106736","url":null,"abstract":"<div><p>American ginseng is a renowned medicinal herb that falls under the category of medicine food homology. The pharmacological benefits of American ginseng vary based on its origin, and accurately tracing its origin in a non-destructive and quick manner remains a challenge. This study presents an approach that utilizes Near-infrared (NIR) spectroscopy and a novel deep learning model called AGOTNet to accurately identify the origin of American ginseng. This approach offers the benefit of being rapid and non-destructive. The AGOTNet utilizes three external self-attention modules of different sizes to create its backbone for extracting multi-level features (local and global features) and multi-varieties features (data and dataset-level features). The classification head network, consisting of fully connected layers, employs these features effectively to determine the origin of American ginseng. AGOTNet and its four competitors are trained and tested using a dataset containing 2240 samples from five different origins. The experimental results demonstrated that the proposed method outperformed the other four methods, achieving overall accuracy, precision, recall, <em>F</em>1 score, <em>MCC</em>, and <em>AUC</em> values of 98.95 %, 98.97 %, 98.96 %, 98.95 %, 98.65 %, and 99.60 % respectively for the testing samples. The contents of six ginsenoside components in samples were determined simultaneously using HPLC. The study applied partial least-squares-discriminant analysis and principal components analysis to discover the specific ginsenoside components that are impacted by the origin of the American ginseng samples and to classify them accordingly. In conclusion, it is possible to employ NIR spectroscopy combined with deep learning models to rapidly and non-destructive identify the source of American ginseng.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242258","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":"Nanoporous carbon derived ZIF-67@MWCNTs-Fe3O4 reinforced hollow fiber to performe hollow fiber solid-phase micro extraction (HF-SPME) coupled with high-performance liquid chromatography to determine deltamethrin and cypermethrin","authors":"","doi":"10.1016/j.jfca.2024.106750","DOIUrl":"10.1016/j.jfca.2024.106750","url":null,"abstract":"<div><p>This study presents a novel micro extraction approach by developing a highly porous and stable Co@N-C/MWCNTs sorbent capable to addresses limitations of traditional sorbents. Zeolitic Imidazolate Framework-67 (ZIF-67) interconnected with magnetic Multi-walled Carbon Nanotubes (MWCNTs) selected as the template for the synthesis of sorbent possess distinctive N-doped and metal (Co) active sites coupled with carbon-rich nanotubes, resulting in a sorbent with a strong affinity to target analytes and excellent chemical stability. For the first time, this material integrated into the pores of a hollow fiber (HF) for a simplified and efficient Hollow Fiber Solid Phase Micro extraction (HF-SPME) method. This innovative integration increases the extraction surface area and minimize matrix interference. Under optimal conditions, the method achieved a wide linear range (0.1–200 μg L⁻¹) for the target analytes, deltamethrin (DLT) and cypermethrin (CPM), the coefficient of determination of 0.9945 for DLT and 0.9982 for CPM. Additionally, it demonstrated excellent analytical performance with: Low limits of detection (LODs): 0.03 µg L⁻¹ for DLT and 0.04 µg L⁻¹ for CPM. Good precision: Inter and intra-day relative standard deviations (RSD) within 2.5–3.4 %. High enrichment factors (EFs): 68–58. The novel Co@N-C/MWCNTs coating, integrated with a hollow fiber, offers a promising advancement for HF-SPME due to its unique properties.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242203","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":"Rapid detection of benzoic, sorbic, and dehydroacetic acids in processed foods using surface-enhanced Raman scattering spectroscopy","authors":"","doi":"10.1016/j.jfca.2024.106740","DOIUrl":"10.1016/j.jfca.2024.106740","url":null,"abstract":"<div><p>Benzoic acid (BA), sorbic acid (SA), and dehydroacetic acid (DHA) are among the most common food additives that are classified as antimicrobial preservatives. However, their consumption in excess can lead to damage to the human liver and kidneys. At the present time, no rapid method has been developed for the simultaneous detection of these preservatives in processed foods. In this study, an expedited process based on surface-enhanced Raman scattering (SERS) and solid-phase extraction (SPE) has been developed to determine the content of the preservatives in processed seafood, minced fish, and cheese products. The effect of local heating on SERS spectra at the center of the droplet, which was deposited onto silver nanopillar arrays used as the SERS substrate, was examined. A recirculating flow, manifested as twin vortices merging within the droplet, brought the preservative molecules down to the droplet’s center, resulting in an increase in the SERS signals. Furthermore, the screening efficiency of the detection method for the three preservatives was experimentally evaluated in real samples. The experimentally determined Raman bands of the added BA, SA, and DHA were compared with amounts obtained by the conventional method of high-performance liquid chromatograph (HPLC).</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242257","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":"Molecular profiling of triacylglycerols in bovine and goat milk powders via ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry","authors":"","doi":"10.1016/j.jfca.2024.106737","DOIUrl":"10.1016/j.jfca.2024.106737","url":null,"abstract":"<div><p>Triacylglycerols (TAG) play several nutritional, technological, and functional roles in the dairy industry, representing approximately 98 % of milk fat. In the present study, the total fatty acid composition and the sn-2 fatty acid positional distribution of bovine and goat milk powders fat were analyzed by using the gas chromatography-flame ionization detector. Furthermore, the identification of TAG molecular species from milk powders was conducted using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS). The separation of milk TAG was accomplished by using isopropanol/acetonitrile (90:10, v/v) as mobile phase A, and water/acetonitrile (60:40, v/v) as mobile phase B. Myristic, palmitic, stearic, and oleic acids were identified as the most abundant fatty acids making up 11.55 and 10.71 %, 33.23 and 30.64 %, 10.86 and 12.52 %, and 26.74 and 21.80 % in the bovine and goat milk powders, respectively. In bovine milk, 221 molecular species of TAG were identified, with the predominant molecular species (LaCyO, CaLaPa, CyPaM, OCaCa, CaGCy, GLaCo) detected at a retention time of 6.362 min, with a relative abundance of 8.28 %. In goat milk, 202 molecular species were identified, with the major molecular species (CaLaM, CaPCa, CaCyS, CaCoAra, CaBuBe, LaPCy, LaCoS, LaBuAra, MPCo, MCyM, MBuS, PBuP, CyCoBe) detected at a retention time of 6.106 min, making up 8.14 % of the total TAG detected. These results provide valuable insights into milk fat composition for the dairy sector, aiding in the development of specialized dairy products.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172347","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":"Rapid identification of phycobiliproteins in Porphyra yezoensis using near-infrared combined with convolutional neural network","authors":"","doi":"10.1016/j.jfca.2024.106746","DOIUrl":"10.1016/j.jfca.2024.106746","url":null,"abstract":"<div><p>Phycobiliproteins (PBPs) are the main pigment proteins and important indicators for evaluating the quality of <em>Porphyra yezoensis</em> (nori). This study aimed to develop a non-destructive and rapid method for determining PBP content (including total PBPs, phycoerythrin, phycocyanin, and allophycocyanin) in <em>P. yezoensis</em>, using near-infrared spectrum technology combined with a convolutional neural network (CNN), and to explore the influence of spectral preprocessing methods and machine learning algorithms on the predictive ability of the model. First, the spectral data was standardized using a combination of standard normal variable transformation and the first derivative to improve the accuracy and predictive ability of the model. We compared various models and determined that the CNN model performed better than conventional methods. After optimizing the number of convolutional layers, dropout rate, and learning rate, the performance of the CNN model was further improved. This study demonstrates the capability of the CNN model to leverage spectral data and solve regression problems to accurately measure PBPs. Moreover, for the first time, we established a functional equation between PBPs and <em>P. yezoensis</em> grades. This study provides a feasible and rapid method for the quantitative detection of PBPs in <em>P. yezoensis</em>.</p></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":null,"pages":null},"PeriodicalIF":4.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242104","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}