Journal of Food Composition and Analysis最新文献

{"title":"Food quality assessment and quantification using multispectral images from screen and smartphone for kiwifruit ripeness and rice discrimination","authors":"Ali Khosravi ,&nbsp;Mohsen Kompany-Zareh ,&nbsp;Mahdiyeh Ghaffari","doi":"10.1016/j.jfca.2025.107630","DOIUrl":"10.1016/j.jfca.2025.107630","url":null,"abstract":"<div><div>High-quality food products require precise, rapid, and objective determination of their quality. Therefore, spectral imaging stands out as one of the most powerful and fastest non-destructive tools for the analysis and quality control of food materials. In this study, two scenarios were conducted. The first scenario involved assessing the ripeness of kiwi fruit, while the second scenario focused on the classification of various types of Iranian rice using a smartphone setup, along with chemometric methods including Partial Least Squares (PLS) and Partial Least Squares Discriminant Analysis (PLS-DA). In this study, a simple setup based on a smartphone and laptop monitor was designed to enable the capture of multispectral images. The performance of PCR and PLS models was evaluated based on their RMSEC and RMSEP values. The PCR model showed RMSEC of 3.2336 and RMSEP of 4.9210, indicating a high level of accuracy in predicting the time elapsed since cutting. On the other hand, the PLS model demonstrated superior performance with RMSEC of 0.9244 and RMSEP of 0.6073. Additionally, the coefficient of determination (R²C = 0.94 and R² P = 0.88) for the PLS models was calculated to assess the goodness of fit, and RMSECV values were calculated for the classification of group pairs using the leave-one-out cross-validation technique. The calculated RMSECV values were 0.0253 for the pairs of Anbarbu-Domsiyah groups, 0.0274 for Anbarbu-Gohar groups, 0.0222 for Tarom-Gohar groups, and 0.0200 for Domsiyah-Gohar groups. The four different types of Iranian rice were successfully discriminated.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"144 ","pages":"Article 107630"},"PeriodicalIF":4.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869781","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":"Proximate composition and mineral profile of Moroccan and Italian carobs","authors":"Yasmine M. Ben Amar ,&nbsp;Vincenzo Nava ,&nbsp;Lahkim B. Mouad ,&nbsp;Jamal Brigui ,&nbsp;Noureddine Chouaibi ,&nbsp;Angela Giorgia Potortì ,&nbsp;Federica Litrenta ,&nbsp;Ambrogina Albergamo ,&nbsp;Giuseppa Di Bella","doi":"10.1016/j.jfca.2025.107628","DOIUrl":"10.1016/j.jfca.2025.107628","url":null,"abstract":"<div><div>Carob (<em>Ceratonia siliqua L.</em>), a typical Mediterranean fruit, is currently attracting a great deal of attention for its health-promoting properties. This is due to its two main components (pod and seeds) which contain important nutrients. Therefore, this study determined the proximate composition and mineral profile, including for the first time potentially toxic elements, of carob fruit in relation to different geographical origins (Morocco and Italy) and their different parts (pod and seeds). The percentage of uptake of each element following the ingestion of 10 g of carob was also evaluated. Pod and seed samples were high in fibre. The highest levels of protein were found in the seeds. The ash content was similar in both carob parts. The elemental profile of carobs showed a close correlation with the geographical origin of the product. Some Moroccan carobs exceeded the maximum limit for Pb and Cd. PCA analysis of the mineral profile better distinguished the carob samples according to their different geographical origin than their analyzed parts. A low intake of most inorganic elements was obtained from the consumption of 10 g of carob per day. This study will provide the information needed to improve knowledge, marketing and consumer awareness on Mediterranean carob.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107628"},"PeriodicalIF":4.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834240","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 drying methods on the nutritional composition, technofunctional properties, and phytochemicals of kumquat (Fortunella margarita)","authors":"Sibele Santos Fernandes ,&nbsp;Caroline Costa Peraza ,&nbsp;Natasha Spindola Marasca ,&nbsp;Mariana Buranelo Egea","doi":"10.1016/j.jfca.2025.107618","DOIUrl":"10.1016/j.jfca.2025.107618","url":null,"abstract":"<div><div>Kumquat, originally from Asia, shares some characteristics with other citrus fruits, standing out for its more intense and aromatic flavor. Although it has a favorable chemical composition, its sensory and seasonal characteristics lead to low consumption. Therefore, this study aimed to characterize kumquat (<em>Fortunella margarita</em>) by different drying methods. Drying in the oven provided higher yield (&gt;20 %) and greater influence on color, but lower lipid content (&lt;0.5 %). Protein and fiber content did not show significant differences between the samples. The drying method directly influenced the technological and thermal properties. The preliminary results of the qualitative phytochemical screening showed that the whole kumquat contains more phytochemicals than the peel. This study showed that kumquat drying methods affect its technofunctional and bioactive properties, indicating its potential as an ingredient in food applications.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107618"},"PeriodicalIF":4.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834238","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":"Application of hyperspectral imaging technology combined with ECA-MobileNetV3 in identifying different processing methods of Yunnan coffee beans","authors":"Xuan Xin ,&nbsp;Jun Sun ,&nbsp;Lei Shi ,&nbsp;Kunshan Yao ,&nbsp;Bing Zhang","doi":"10.1016/j.jfca.2025.107625","DOIUrl":"10.1016/j.jfca.2025.107625","url":null,"abstract":"<div><div>The quality of coffee is profoundly influenced by post-harvest processing methods. This study explored the application of hyperspectral imaging (HSI) combined with ECA-MobileNetV3 to identify five processing methods of Yunnan coffee beans. A real hyperspectral dataset was constructed and the spectra were preprocessed using Savitzky-Golay (SG) smoothing, standard normal variate (SNV), and detrending (DT). The proposed ECA-MobileNetV3 model innovatively substitutes the Squeeze-and-Excitation module with Efficient Channel Attention (ECA) mechanism, achieving enhanced feature discrimination with remarkable computational efficiency (3.36 MB model size, 4 min training time). The results demonstrated the superior performance of ECA-MobileNetV3, achieving outstanding metrics (98.40 % accuracy, 98.50 % precision, 98.35 % recall, 98.42 % F1-score), surpassing traditional machine learning models, including support vector machine (SVM), partial least squares discriminant analysis (PLS-DA), and extreme gradient boosting (XGBoost). Compared to other deep learning models, ECA-MobileNetV3 exhibits notable improvements in classification accuracy, outperforming ShuffleNetV2, EfficientNetB0, MobileNetV3 by 9.60 %, 6.00 %, 7.40 %, respectively, on the testing set. This research provides a rapid and non-destructive methodology for identifying coffee bean processing methods, offering significant potential for quality control and adulteration detection in the coffee industry.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107625"},"PeriodicalIF":4.0,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829640","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 the migration of six bisphenols from cans and sport bottles using rapid synergistic cloud point extraction and high-performance liquid chromatography","authors":"Xiaoyun Wen ,&nbsp;Peihan Xie ,&nbsp;Xuezhao Li,&nbsp;Yingyun Luo,&nbsp;Zhuoya Meng,&nbsp;Jingwei Jiang,&nbsp;Mei Wang","doi":"10.1016/j.jfca.2025.107602","DOIUrl":"10.1016/j.jfca.2025.107602","url":null,"abstract":"<div><div>Bisphenols migration from food packaging poses contamination risks, necessitating sensitive detection methods for trace-level quantification. A novel method was established for preconcentration and determination of six bisphenols (bisphenol E, bisphenol A, bisphenol B, bisphenol AF, bisphenol C, and bisphenol PH). After rapid synergistic cloud point extraction as the pretreatment technology, and high-performance liquid chromatography was carried out, and the analytes in surfactant-rich phase supernatant were detected fluorometrically. Genapol X-080 was specially selected as the extractant, while acetonitrile was the cloud revulsant and synergistic reagent. Under the optimum conditions, the correlation coefficients among target substances were all higher than 0.998 in the range of 0.125 −35.0 μg/kg. The relative standard deviations were lower than 5.3 %, and the detection limit range was 0.024 −0.032 μg/kg. High extraction efficiencies (89.2 %−99.3 %) and enhancement factors (16.2 −18.1) of the six bisphenols were achieved. The suitability of this method for the analysis of food simulants from two types of food contact materials was demonstrated and the recoveries ranged from 84.4 % to 108 %. The proposed method was simple, economical, highly efficient, and sensitive, also could separate and preconcentrate of trace or ultra-trace bisphenols in foodstuffs.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107602"},"PeriodicalIF":4.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825657","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":"Heavy metals in Lagocephalus spadiceus (Richardson, 1845) from the Beibu Gulf, China: occurrence and health risk assessment","authors":"Yiheng Yang ,&nbsp;Liangliang Huang ,&nbsp;Shuwen Zhao ,&nbsp;Caiguang Wang ,&nbsp;Sze Mun Lam ,&nbsp;Jianqiang Song ,&nbsp;Zhiqiang Wu ,&nbsp;Wei Song","doi":"10.1016/j.jfca.2025.107505","DOIUrl":"10.1016/j.jfca.2025.107505","url":null,"abstract":"<div><div>The bioaccumulation of heavy metals in marine fish poses significant threats to human health through dietary exposure. In this work, the contents of 8 heavy metals (arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), nickel (Ni) and lead (Pb)) in different tissues of <em>Lagocephalus spadiceus</em> from the Beibu Gulf in China were investigated based on length, weight, age, and size of the fish. The estimated recoveries ranged from 94.6 % to 103.2 %. The ANOVA test results indicated significant variations in the heavy metals concentrations in different tissues. The liver exhibited the highest bioaccumulation capacity for most heavy metals (0.03–11.44 mg/kg). Liver tissues were found to contain the highest concentration of As (11.44 mg/kg) while the gills were found to contain the most Mn (1.86 mg/kg). Notably, neither sexual dimorphism nor age-dependent accumulation patterns were observed for most metals. Health risk assessment revealed acceptable hazard indices for muscle consumption but identified potential carcinogenic risks from liver intake.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107505"},"PeriodicalIF":4.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834239","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":"G-quadruplex/hemin DNAzyme mediated biosensor for colorimetric detection of trace aflatoxin B1 using entropy-driven catalytic reaction-facilitated catalytic hairpin assembly","authors":"Dian Yu ,&nbsp;Yingying Sun ,&nbsp;Xin Lin ,&nbsp;Wenjie Liu ,&nbsp;Jianna Yu ,&nbsp;Guoxing Jing ,&nbsp;Wen Liu ,&nbsp;Xiaoyun Zhang ,&nbsp;Cheng Jiang ,&nbsp;Wenshan Li","doi":"10.1016/j.jfca.2025.107622","DOIUrl":"10.1016/j.jfca.2025.107622","url":null,"abstract":"<div><div>G-quadruplex/hemin DNAzyme (G-DNAzyme) is widely utilized in biosensors due to its ability to catalyze peroxidase-like reactions. However, its relatively low catalytic efficiency can limit detection sensitivity. To address this limitation and enable trace detection, this study presents a G-DNAzyme-mediated biosensor that combines entropy-driven catalytic reactions (EDC) and catalytic hairpin assembly (CHA) to enhance sensitivity and broaden its applicability for detecting trace levels of aflatoxin B1 (AFB1). In this biosensor, AFB1 specifically binds to aptamer, triggering the release of a complementary initiator chain, which activates both EDC and CHA amplification processes. This dual amplification results in the generation of numerous free G-quadruplex sequences, which then bind to hemin, catalyzing a color change in the chromogenic substrate and significantly amplifying the signal. The biosensor demonstrated excellent linearity between the absorbance intensity and logarithm of AFB1 concentrations, with a detection limit (LOD) of 0.47 pM. Furthermore, spiked recovery tests of AFB1 in actual samples showed recovery rates between 96.12 % and 108.50 %, indicating strong accuracy. The method is simple, rapid, and does not require complex instrumentation, making it an efficient tool for detecting AFB1 in food safety applications.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107622"},"PeriodicalIF":4.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825655","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 quality evaluation of fried Radix Paeoniae Alba (Paeonia lactiflora Pall.) using electronic eye and near-infrared spectroscopy combined with chemometric methods","authors":"Yatong Kang ,&nbsp;Tingze Long ,&nbsp;Ying Qiao ,&nbsp;Han Yi ,&nbsp;Feng Wang ,&nbsp;Chao Chen","doi":"10.1016/j.jfca.2025.107621","DOIUrl":"10.1016/j.jfca.2025.107621","url":null,"abstract":"<div><h3>Objective</h3><div>Electronic eye (E-eye) and Near-infrared spectroscopy (NIRS) in conjunction with chemometric methods were investigated for rapid quality assessment of fried Radix Paeoniae Alba (FRPA) samples across various processing degrees and accurate quantification of their chemical components.</div></div><div><h3>Method</h3><div>Raw samples were collected and subjected to stir-frying, with variations in processing time resulting in FRPA samples characterized by different processing degrees. After acquiring E-eye and NIRS data, principal component analysis (PCA) and K-nearest neighbors (KNN) were used to build the qualitative models. Meanwhile, the NIRS data were correlated with the content of four chemical components (<em>i.e.</em>, gallic acid, albiflorin, paeoniflorin, and total phenols) in FRPA samples. The partial least squares regression (PLSR) algorithm was employed to establish the quantitative models, which were optimized through the selection of appropriate spectra preprocessing methods and wavelength selection techniques. The evaluation metrics include the coefficient of determination (<em>R²</em>), root mean square error (<em>RMSE</em>), and residual prediction deviation (<em>RPD</em>) for both calibration and prediction.</div></div><div><h3>Results</h3><div>In PCA analysis, the samples with different stir-frying times can show a certain distribution trend, but the samples with adjacent stir-frying times overlap each other. However, in KNN modeling, the samples can be classified with 100 % accuracy, regardless of whether E-eye data or NIRS spectra were used. The most efficacious quantitative models were attained by implementing the first derivative preprocessing and Jaya wavelength screening methods. These models exhibited <em>RPD</em> higher than 3, with calibrated and predicted <em>R²</em> values exceeding 0.95.</div></div><div><h3>Conclusion</h3><div>The present models exhibit significant efficacy and provide a valuable tool for rapid quality assessment of FRPA samples.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107621"},"PeriodicalIF":4.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825658","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":"Application of fluorescence spectroscopy in meat analysis","authors":"Hualing Liao ,&nbsp;Li Chao ,&nbsp;Dan Xie ,&nbsp;Xiping Zhu ,&nbsp;Qibin Zhuang ,&nbsp;Jiqin Zhang","doi":"10.1016/j.jfca.2025.107613","DOIUrl":"10.1016/j.jfca.2025.107613","url":null,"abstract":"<div><div>Meat plays a crucial role in human consumption and dietary culture. Fluorescence spectroscopy, as a non-destructive testing technique, holds great promise for the rapid and non-destructive assessment of meat quality and safety. This review introduces the detection principles and applications of fluorescence analysis technology based on fluorescence spectroscopy for the detection of quality characteristics and safety assessment of meat. Fluorescence analysis techniques include fluorescence probes, fluorescence-based sensors, surface-enhanced fluorescence, excitation-emission matrices, synchronous fluorescence spectroscopy, and front-face fluorescence spectroscopy. Fluorescence spectroscopy offers several advantages, including rapid, non-destructive, and highly sensitive detection. When combined with appropriate data analysis methods, fluorescence spectroscopy can meet the detection needs of meat can be met.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107613"},"PeriodicalIF":4.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829638","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 improvement of multiplicative scattering elimination method of different spectroscopic analysis for assessing complex mixtures","authors":"Huihui Yang ,&nbsp;Yutang Wang ,&nbsp;Qing Chen ,&nbsp;Xiaolong Yang ,&nbsp;Housen Zhang ,&nbsp;Fengzhong Wang ,&nbsp;Long Li","doi":"10.1016/j.jfca.2025.107604","DOIUrl":"10.1016/j.jfca.2025.107604","url":null,"abstract":"<div><div>The introduction of visible near-infrared (VIS-NIR) spectroscopy provides a powerful tool for enhancing the accuracy and efficiency of food internal quality analysis. However, scattering effects caused by variations in sample physical properties often interfere spectral signals, compromising the model performance in quantitative analyses of complex mixtures. Herein, this study adopted 16 spectral preprocessing methods, including eight common preprocessing methods applied individually and eight fused with self- developed spectral ratio (SR) technique. Partial least squares (PLS) and Random Forest (RF) algorithms were performed to correlate the quantitative evaluation of the target parameters. For meat samples, SR combined with standard normal variate (SR-SNV) preprocessing yielded optimal results. PLS models achieved test set <em>R</em>² of 0.992 for moisture, 0.970 for protein, and 0.994 for fat, with corresponding <em>RMSE</em> of 1.004 %, 0.581 %, and 1.108 %. In citrus analysis, SR-AUTO preprocessing produced the best PLS model for acidity (test set <em>R</em>²=0.739, <em>RMSE</em>=0.665 %), while SR-SNV preprocessing performed optimally for sugar content (<em>R</em>²=0.733, <em>RMSE</em>=0.582 %). This study establishes a robust framework for rapid, accurate quantification of key internal quality indicators in food products.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"143 ","pages":"Article 107604"},"PeriodicalIF":4.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807818","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}