Food Analytical Methods最新文献_第3页

Unveiling Olive Oil Authenticity: A Comprehensive Study on Adulteration Detection through SPR-Enhanced Ellipsometry 揭秘橄榄油真伪：利用spr增强椭圆偏振法检测掺假的综合研究

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-12-04 DOI: 10.1007/s12161-024-02724-4

Natasha Mandal, Rakesh Singh Moirangthem

{"title":"Unveiling Olive Oil Authenticity: A Comprehensive Study on Adulteration Detection through SPR-Enhanced Ellipsometry","authors":"Natasha Mandal, Rakesh Singh Moirangthem","doi":"10.1007/s12161-024-02724-4","DOIUrl":"10.1007/s12161-024-02724-4","url":null,"abstract":"<div><p>The present work investigates the adulteration of extra virgin olive oil (EVOO) using highly surface-sensitive SPR-enhanced ellipsometry (SPRE) technique, aiming to ensure food quality and consumer safety. Due to the elevated cost of EVOO, adulteration with cheaper, poor-quality refined or edible oils has become a common practice for economic profit. The EVOO is purposely adulterated by blending four different edible oils with transparent or similar colors and similar refractive indices to replicate realistic adulteration scenarios. An in-house-built SPRE setup was used to conduct the experiments using a reusable bimetallic Ag-Au SPR sensor chip. The quantification limit for EVOO adulteration was successfully obtained at a low level of 5% (v/v) at room temperature. This optical technique has strength in its convenience, simple instrumentation, ease of sample preparation, minimal solvent usage, non-destructive nature, and rapid real-time analysis. We believe that our experimental outcomes make a valuable contribution to the field, addressing the critical need for reliable methods to ensure the authenticity and quality of EVOO.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"442 - 458"},"PeriodicalIF":2.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Rapid and Simple UHPLC- DAD Method for Individual Anthocyanin Analysis: Optimization and Validation for Wild Mediterranean Berries and Fruit Samples 快速简便的UHPLC- DAD法分析地中海野生浆果和水果样品中单个花青素的优化与验证

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-12-04 DOI: 10.1007/s12161-024-02726-2

Erika N. Vega, Virginia Fernández-Ruiz, María Cortes Sánchez-Mata, Montaña Cámara, Patricia Morales

{"title":"A Rapid and Simple UHPLC- DAD Method for Individual Anthocyanin Analysis: Optimization and Validation for Wild Mediterranean Berries and Fruit Samples","authors":"Erika N. Vega, Virginia Fernández-Ruiz, María Cortes Sánchez-Mata, Montaña Cámara, Patricia Morales","doi":"10.1007/s12161-024-02726-2","DOIUrl":"10.1007/s12161-024-02726-2","url":null,"abstract":"<div><p>Anthocyanins have gained significant attention for their potent colorant capacity and multifaceted biological activities. As a result, the quantification of anthocyanin content in wild berries and the identification of anthocyanin profiles have become increasingly important, as well as the optimization of methods for these determinations. The present study shows a rapid UHPLC-DAD method for identifying and quantifying individual anthocyanins in selected wild berries and fruit samples of Mediterranean origin, namely, <i>Prunus avium</i>, <i>Fragaria vesca</i>, and <i>Vaccinium myrtillus</i>. Moreover, the applicability of the developed method to different food matrices was verified in cultivated berries, specifically, <i>Punica granatum, Fragaria</i> x <i>ananassa, Rubus</i> spp., and <i>Vaccinium corymbosum</i>. The developed method showed great sensitivity (LOD of 23.92 ng/g, LOQ of 79.73 ng/g), precision (RSD below 2.599%), and accuracy (recovery percentages of 97.97 and 98.88%). It successfully quantified individual anthocyanins (delphinidin-3-<i>O</i>-glucoside, cyanidin-3-<i>O</i>-glucoside, cyanidin-3-<i>O</i>-rutinoside, petunidin-3-<i>O</i>-glucoside, pelargodinin-3-<i>O</i>-glucoside, malvidin-3-<i>O</i>-glucoside) across different berries and fruit samples. The developed methodology allows to conduct routine analysis without the need for mass spectrometry. The range of total anthocyanins quantified in wild berries and fruit samples was 0.03 to 7.66 mg/g of powdered extract corresponding to <i>Prunus avium</i> L. and <i>Vaccinium corymbosum</i> L., respectively.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"471 - 486"},"PeriodicalIF":2.6,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Narrow-Bore Tube Magnetic Solid-Phase Extraction Method Utilizing Ionic Liquid-Modified Magnetic Nanoparticles for the Preconcentration and Determination of Catechin in Grape Juice 离子液体修饰磁性纳米颗粒窄管磁固相萃取法预富集测定葡萄汁中儿茶素

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-12-02 DOI: 10.1007/s12161-024-02721-7

Sahar Rezaeinejad, Payman Hashemi, Akram Rahimi

{"title":"Narrow-Bore Tube Magnetic Solid-Phase Extraction Method Utilizing Ionic Liquid-Modified Magnetic Nanoparticles for the Preconcentration and Determination of Catechin in Grape Juice","authors":"Sahar Rezaeinejad, Payman Hashemi, Akram Rahimi","doi":"10.1007/s12161-024-02721-7","DOIUrl":"10.1007/s12161-024-02721-7","url":null,"abstract":"<div><p>A magnetic solid-phase extraction (MSPE) approach is developed as an efficient and simple method on the basis of the modification of magnetic nanoparticles using an ionic liquid in order to preconcentrate and extract catechin from grape juice samples. A narrow-bore tube (NBT) containing the sample was used to carry out the extraction in a simple and efficient manner. Using scanning electron microscopy (SEM), Fourier transfer infrared (FT-IR) spectroscopy, and X-ray spectroscopy (EDX), the specifications of the synthesized nanoparticles modified with 2-hydroxyethyl ammonium chloride ionic liquid were scrutinized. The impact of various parameters on catechin extraction was assessed. Under optimized conditions (i.e., sample volume of 10 mL, pH 3, 14 mg of sorbent, 20-min desorption time, and elution with 3.0 mL of 0.15 mol L<sup>–1</sup> phosphate buffer at pH 10), the relative standard deviation and limit of detection (LOD) were found to be 1.63% and 0.141 µg mL<sup>−1</sup>, respectively, for seven replicate determinations using HPLC–UV. Based on the obtained experimental results, the maximum adsorption capacity of the sorbent for catechin was 61 mg g<sup>−1</sup>. Eventually, to determine the applicability of the developed technique, the method was a success when utilized to analyze the catechin content of the samples of grape juice, indicating a recovery range of 93.4–99.5%.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"416 - 427"},"PeriodicalIF":2.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on the Application of Terahertz Technology in Detecting Additives in Milk Powder 太赫兹技术在奶粉添加剂检测中的应用研究

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-12-02 DOI: 10.1007/s12161-024-02720-8

Hongtao Zhang, Jiahui Gao, Lian Tan, Li Zheng, Longjie Wang

{"title":"Research on the Application of Terahertz Technology in Detecting Additives in Milk Powder","authors":"Hongtao Zhang, Jiahui Gao, Lian Tan, Li Zheng, Longjie Wang","doi":"10.1007/s12161-024-02720-8","DOIUrl":"10.1007/s12161-024-02720-8","url":null,"abstract":"<div><p>Milk powder is a common food in most families. It is of great significance to accurately detect the quality and safety of milk powder to mitigate food safety problems. This paper presents a method for the determination of vanillin and ethyl vanillin in milk powder based on terahertz (THz) spectroscopy. Samples with varying concentration gradients of these two additives were prepared, and a terahertz time-domain spectrometer was used to collect spectral data from the samples in the 0.2 to 1.5 THz range. Seven spectral preprocessing algorithms were evaluated using the partial least squares (PLS) method, and it was found that the combination of multivariate scattering correction (MSC) and Savitzky-Golay (SG) smoothing preprocessing yielded the best results, significantly improving the accuracy of the test sets for both additives. Subsequently, nine quantitative detection methods were constructed by combining three dimensionality reduction algorithms (ant colony algorithm (ACO), competitive adaptive reweighted sampling (CARS), and successive projection algorithm (SPA)) with three regression models (support vector regression (SVR), long short-term memory (LSTM), and particle swarm optimization-back propagation (PSO-BP)). The results showed that the LSTM regression model, with dimensionality reduction performed by the CARS algorithm, performed best for detecting vanillin in milk powder, achieving a recognition rate of 94.49%. Compared to the other eight methods, this increased the recognition rate by 7.69%. Similarly, the LSTM regression model, combined with the SPA algorithm for dimensionality reduction, performed best for detecting ethyl vanillin in milk powder, reaching a recognition rate of 98.37%. This represented a 6.59% increase in recognition rate over the other eight methods, providing a novel technical approach for non-destructive testing and analysis of milk powder quality and safety.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"398 - 415"},"PeriodicalIF":2.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spectrophotometric Determination of Total Glucosinolate Content in Different Tissues of Camelina sativa (L.) Crantz 分光光度法测定亚麻荠不同组织中总硫代葡萄糖苷含量Crantz

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-27 DOI: 10.1007/s12161-024-02725-3

Incoronata Galasso, Angela Rosa Piergiovanni, Elena Ponzoni, Ida Melania Brambilla

{"title":"Spectrophotometric Determination of Total Glucosinolate Content in Different Tissues of Camelina sativa (L.) Crantz","authors":"Incoronata Galasso, Angela Rosa Piergiovanni, Elena Ponzoni, Ida Melania Brambilla","doi":"10.1007/s12161-024-02725-3","DOIUrl":"10.1007/s12161-024-02725-3","url":null,"abstract":"<div><p>The objective of this study was to determine the total glucosinolate (GLS) content in <i>Camelina sativa</i>, using a simple and sensitive method, based on the colorimetric reaction of sodium tetrachloropalladate (II) with GLSs, and to quantify them by spectrophotometry without the use of HPLC. Glucosinolates from defatted meal, seeds, animal feeds and sprouts were extracted and isolated using a weak anion exchange column. Sodium tetrachloropalladate (II) solution was added to the extract and the absorbance measured at 420 nm. The repeatability (intra-assay) of the sodium tetrachloropalladate (II)—assay (Pd-assay) was very high, with CVs ranging from 2.07 to 0.90% for the single experiments. The inter-assay was also very high, displayed by a CV of 1.65% across all of the experiments. The Pd-assay is therefore able to quantify GLS amounts with good accuracy in all the tested matrices, which cover a very wide range from 0.50 µmol g<sup>−1</sup> DW in animal feed to about 40 µmol g<sup>−1</sup> DW in defatted meal. The good agreement between the Pd-assay and HPLC was testified by a significant correlation <i>R</i><sup>2</sup> = 0.9937. These results indicate that the accuracy and repeatability of the Pd-assay are suitable for measuring total GLS in all camelina tissues tested.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"376 - 384"},"PeriodicalIF":2.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-024-02725-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model 基于拉曼光谱结合多任务深度学习模型的特级初榨橄榄油定性鉴别与掺假定量

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-27 DOI: 10.1007/s12161-024-02728-0

Shuxin Liang, Guoqing Chen, Chaoqun Ma, Jiao Gu, Chun Zhu, Lei Li, Hui Gao, Zichen Yang, Jun Cao, Zehao Chen

{"title":"Qualitative Identification and Adulteration Quantification of Extra Virgin Olive Oil Based on Raman Spectroscopy Combined with Multi-task Deep Learning Model","authors":"Shuxin Liang, Guoqing Chen, Chaoqun Ma, Jiao Gu, Chun Zhu, Lei Li, Hui Gao, Zichen Yang, Jun Cao, Zehao Chen","doi":"10.1007/s12161-024-02728-0","DOIUrl":"10.1007/s12161-024-02728-0","url":null,"abstract":"<div><p>An extra virgin olive oil (EVOO) adulteration detection method based on Raman spectroscopy and a single-model multi-task deep learning network (MTDL) model is proposed to simultaneously achieve qualitative identification and quantitative analysis of olive oil blends. Soybean oil, peanut oil, sunflower oil, corn oil, and palm oil were blended into extra virgin olive oil at different concentrations, and a total of 675 spectra were collected for five samples with different olive oil contents. Analysis and visualization of spectral datasets are provided using dimensionality reduction algorithms. The data enhancement technique resulted in a classification accuracy of 99.3% for the qualitative analysis of the MTDL and a good linear fit for the concentration dataset of different types of samples, with RMSEP and <i>R</i>-squared reaching 6.0910 and 0.9909, respectively. Compared to other classification algorithms (PLS-DA, SVM, <i>k</i>-NN, random forest) and regression methods (PLSR, SVR), MTDL exhibits notable performance and efficiency, showing potential for simultaneously conducting qualitative identification and quantitative analysis of olive oil products with Raman spectroscopy.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"385 - 397"},"PeriodicalIF":2.6,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impacts of Ultrasound-Assisted Alkaline Electrolyzed Water Extraction on Efficiency and Bioactivity of Extracts from Sweet Tea 超声辅助碱性电解水提取对甜茶提取物效率和生物活性的影响

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-24 DOI: 10.1007/s12161-024-02722-6

Qingyue Deng, Zhitang Chen, Shuibing Lao, Douyong Min, Xiaoling Liu, Hongrui Jiang

{"title":"Impacts of Ultrasound-Assisted Alkaline Electrolyzed Water Extraction on Efficiency and Bioactivity of Extracts from Sweet Tea","authors":"Qingyue Deng, Zhitang Chen, Shuibing Lao, Douyong Min, Xiaoling Liu, Hongrui Jiang","doi":"10.1007/s12161-024-02722-6","DOIUrl":"10.1007/s12161-024-02722-6","url":null,"abstract":"<div><p>Sweet tea, the leaves of <i>Lithocarpus litseifolius</i> [Hance] Chun, is rich in polysaccharides, flavonoids, and polyphenolic ingredients and can be used as a potential source of valuable plant extracts. The purpose of this study was to evaluate the impact of the combination of ultrasound and alkaline electrolyzed water on the efficiency and bioactivity of extracts from sweet tea. The ultrasound-assisted extraction (UAE) was optimized according to the chemical profiles and bioactivity of sweet tea extracts. The optimal condition was as follows. The weakly alkaline electrolyzed water (WAE) was use as solvent, solid–liquid ratio was 1:30 g/mL, extraction time was 40 min, temperature was 60 °C, and extraction was two cycles. The results showed the yields of total flavonoids, total phenols, total sugars, and total terpenoids which were 132.04 mg/g, 58.73 mg/g, 302.34 mg/g, and 226.76 mg/g, respectively. The extracts obtained from the optimized condition exhibited outstanding antioxidant, hypoglycemic, and angiotensin-converting enzyme inhibition (ACEI) activities. The ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry analysis identified 39 bioactive compounds in STE, including 9 phenolic acids, 28 flavonoids, and 2 terpenoids. The correlation analysis revealed that the extraction process significantly influenced the bioactive components of extracts and their bioactivities. This study indicated that the combination of ultrasound and WAE was an efficient method for obtaining biocomponents from sweet tea. The findings lay the groundwork for further processing and utilizing sweet tea extracts.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"359 - 375"},"PeriodicalIF":2.6,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HS–SPME–GC–MS Combined with Multivariate Analysis Assay for Volatile Organic Compounds of Commercial Eggs and Native Eggs HS-SPME-GC-MS联合分析商品鸡蛋和土产鸡蛋挥发性有机物

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-22 DOI: 10.1007/s12161-024-02719-1

Dan Fei, Min Xie, Yelan Guang, Jun Xu, Na Wu, Jie Cai, Yan Lai, Yaomin Zhou

引用次数: 0

Simultaneous Determination of Nine Gout Factors in Cooked Foods 熟食中9种痛风因子的同时测定

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-21 DOI: 10.1007/s12161-024-02718-2

Rui Hu, Yijun Wu, Haoliang He, Wentao Chen, Leiwen Xiang, Dihui Huang

引用次数: 0

Physicochemical Characterization of Starch/Citrate-Capped Plasmonic Nanoparticles for Effective Quantification of Fenobucarb Pesticides in Fruits 淀粉/柠檬酸盐包封等离子体纳米粒子用于水果中灭虫威农药的理化特性研究

IF 2.6 3区农林科学

Food Analytical Methods Pub Date : 2024-11-21 DOI: 10.1007/s12161-024-02707-5

Kobun Rovina, Felicia Ling Wen Xia, Hasmadi Mamat, Maftuch, Ahmad Hazim Abdul Aziz, Luh Suriati

{"title":"Physicochemical Characterization of Starch/Citrate-Capped Plasmonic Nanoparticles for Effective Quantification of Fenobucarb Pesticides in Fruits","authors":"Kobun Rovina, Felicia Ling Wen Xia, Hasmadi Mamat,  Maftuch, Ahmad Hazim Abdul Aziz, Luh Suriati","doi":"10.1007/s12161-024-02707-5","DOIUrl":"10.1007/s12161-024-02707-5","url":null,"abstract":"<div><p>Nanoparticles have attracted the attention of researchers, according to the optical properties exhibited, for showing a significant improvement in UV–visible sensitivity. The current research deals with fabricating colorimetric films by admixing starch with silver nanoparticles (Cit-AgNPs) to detect fenobucarb in fruits. The resulting films present a homogeneous surface with a thickness depending on the amount of Cit-AgNPs incorporated. After coating with fenobucarb, the film could displace the negatively charged Ag surfaces. It is remarkable that metal nanoparticles, endowed with specific ligands, show huge promise for developing miniaturized colorimetric assays. This implies that they can detect a great range of molecules, allowing the determination of trace-level target analytes by discernible visible color changes perceivable through the naked eye. This has been successfully realized through surface plasmon resonance localized principles and aggregation of nanoparticle self-assembly, enhancing plasmonic Ag from the original transition of yellow to dark grey-brown hue. In the proposed sensor methodology, the linear range is 0.005 to 500 µM, with corresponding values in the limit of detection and quantification at 8.86 µM and 29.53 µM, respectively. The present investigation is a paradigm of reporting facile, rapid, and low-cost approaches to determine fenobucarb in food commodities and further evaluates a novel approach to food safety. Also, in grapes, pumpkins, and passion fruit, its determination with high reproducibility and reliability is determined. This research developed a new methodological framework for better food safety analysis.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"335 - 346"},"PeriodicalIF":2.6,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0