Food Analytical Methods最新文献

{"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,&nbsp;Guoqing Chen,&nbsp;Chaoqun Ma,&nbsp;Jiao Gu,&nbsp;Chun Zhu,&nbsp;Lei Li,&nbsp;Hui Gao,&nbsp;Zichen Yang,&nbsp;Jun Cao,&nbsp;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}

{"title":"Impacts of Ultrasound-Assisted Alkaline Electrolyzed Water Extraction on Efficiency and Bioactivity of Extracts from Sweet Tea","authors":"Qingyue Deng,&nbsp;Zhitang Chen,&nbsp;Shuibing Lao,&nbsp;Douyong Min,&nbsp;Xiaoling Liu,&nbsp;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}

{"title":"HS–SPME–GC–MS Combined with Multivariate Analysis Assay for Volatile Organic Compounds of Commercial Eggs and Native Eggs","authors":"Dan Fei,&nbsp;Min Xie,&nbsp;Yelan Guang,&nbsp;Jun Xu,&nbsp;Na Wu,&nbsp;Jie Cai,&nbsp;Yan Lai,&nbsp;Yaomin Zhou","doi":"10.1007/s12161-024-02719-1","DOIUrl":"10.1007/s12161-024-02719-1","url":null,"abstract":"<div><p>This study analyzed the egg quality of two commercial layers and two local breeds and detected volatile organic compounds (VOCs) using headspace solid-phase microextraction (HS–SPME–GC–MS) coupled with principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA). A total of 70 VOCs were identified in four types of eggs, mainly including aldehydes, alcohols, ketones, and esters. Chemometric and odor active value (OAV) analysis indicated that cis-3-hexen-1-ol, nonanal, n-decanal, benzaldehyde, and geranial were the main contributing components of flavor in eggs and can also serve as potential marker to distinguish different types of eggs. Both native eggs and commercial eggs have plentiful VOCs. This study contributed to a better understanding of the differences between commercial eggs and native eggs, laying a foundation for the development and utilization of native eggs.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"347 - 358"},"PeriodicalIF":2.6,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740950","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}

{"title":"Simultaneous Determination of Nine Gout Factors in Cooked Foods","authors":"Rui Hu,&nbsp;Yijun Wu,&nbsp;Haoliang He,&nbsp;Wentao Chen,&nbsp;Leiwen Xiang,&nbsp;Dihui Huang","doi":"10.1007/s12161-024-02718-2","DOIUrl":"10.1007/s12161-024-02718-2","url":null,"abstract":"<div><p>A reversed-phase high-performance liquid chromatography (RP-HPLC) method was developed to quantify nine gout-related compounds: uric acid, guanine, hypoxanthine, adenine, xanthine, inosine, guanosine, xanthosine, and adenosine. Separation was achieved using a Supersil AQ-C18 column with mobile phase solution A (water:triethylamine:phosphoric acid, 950:11:5, pH 3.93) and solution B (water:acetonitrile, 90:10). The method demonstrated good linearity with linear ranges for nucleosides (1.06–17.00 μg mL⁻¹), purines (3.13–50.00 μg mL⁻¹), and uric acid (12.50–200.00 μg mL⁻¹). The recoveries of analytes in spiked samples ranged from 99.97 to 103.30%. The limit of detection was 1.45 μg mL⁻¹. This method is characterized by high precision and accuracy, a wide linear range, good reproducibility, and effective quantification of the nine gout-related compounds. The method has been successfully applied to the detection and evaluation of the representative Min cuisine dish, “Buddha Jumps Over the Wall.”</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 3","pages":"326 - 334"},"PeriodicalIF":2.6,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740947","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}

{"title":"Physicochemical Characterization of Starch/Citrate-Capped Plasmonic Nanoparticles for Effective Quantification of Fenobucarb Pesticides in Fruits","authors":"Kobun Rovina,&nbsp;Felicia Ling Wen Xia,&nbsp;Hasmadi Mamat,&nbsp; Maftuch,&nbsp;Ahmad Hazim Abdul Aziz,&nbsp;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}

{"title":"Extraction and Characterization of Pectins from Ripe Grape Pomace Using Both Ultrasound Assisted and Conventional Techniques","authors":"Kianoush Vakilian,&nbsp;Leila Nateghi,&nbsp;Afshin Javadi,&nbsp;Navideh Anarjan","doi":"10.1007/s12161-024-02710-w","DOIUrl":"10.1007/s12161-024-02710-w","url":null,"abstract":"<div><p>Ripe grape pomace is a waste of grape juice processing that can be considered a valuable source for pectin extraction. The pectin was extracted via optimization using both ultrasound-assisted procedure (UAE-PRGP) and conventional extraction procedure (CE-PRGP). The pH values were 1.0, 2.0, and 3.0 for both techniques, the temperatures were set at 50, 60, and 70 °C for UAE, and 60, 75, and 90 °C for CE. The process time levels of the selected techniques were also different as 10, 20, and 30 min for UAE and 60, 90, and 120 min for CE. The yield (EY) of pectin extraction, the esterification degree (DE), and galacturonic acid (GA) were determined for optimization. The optimum values of pH, temperature, and time for UAE were 2.99, 58.82 °C, and 30 min, respectively, and for CE were 2.99, 66.42 °C, and 120 min, respectively. The optimum values (w/w %) for EY, DE, and GA were 16.45%, 42.97%, and 52.05%, respectively, in CE, and 24.25%, 27.78%, 61.39%, respectively, for UAE. Fourier transform infrared spectroscopy (FTIR) showed that UAE-PRGP had lower DE than CE-PRGP. Differential scanning calorimetry (DSC) revealed that UAE-PRGP had slightly greater thermal stability than CE-PRGP while commercial pectins (apple and citrus) had higher thermal stability than both extracted pectins. The apparent viscosity values of commercial pectins were higher than those of CE-PRGP and UAE-PRGP while all pectins indicated pseudoplastic manner. The UAE-PRGP showed higher stability and emulsifying activity than CE-PRGP, while lower than commercial pectins. UAE-PRGP with more GA and EY and less DE can be potentially used in various dairy foods.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 2","pages":"305 - 323"},"PeriodicalIF":2.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583574","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}

{"title":"A SERS and Fluorescence Dual-Signal Aptasensor for AFB1 Detection Based on DTNB Labeled AuNPs and CdTe Quantum Dots","authors":"Xiaoyuan Ma,&nbsp;Jinxiang Wei,&nbsp;Caiyun Jiang,&nbsp;Zhouping Wang","doi":"10.1007/s12161-024-02715-5","DOIUrl":"10.1007/s12161-024-02715-5","url":null,"abstract":"<div><p>Herein, an aptasensor with stable surface-enhanced Raman scattering (SERS) and fluorescence dual-signal output had been developed for the detection of aflatoxin B₁ (AFB₁). The quantum dots were encapsulated within silica to ensure the stability of fluorescence signal. The gold nanoparticles (AuNPs) were modified with SERS signal molecule DTNB and the complementary sequence (cDNA) of AFB₁ aptamer and then connected on the surface of silica to obtain the signal probes. In the meantime, Fe₃O₄ was coated with silica which was modified with aptamer to gain capture probes. The two probes could bind specifically based on the base complementary pairing principle. Then, the mixture was separated and gathered by an external magnet. At this time, the maximum SERS signal could be detected in the precipitate, and there was no fluorescence signal in the supernatant. Upon introduction of AFB₁ into the system, the signal probes would be released, resulting in fluorescence recovery in the supernatant while SERS signal weakened in the precipitate. The developed method showed a linear relationship of AFB₁ for the SERS signal in the range of 10⁻⁴–10³ ng/mL, with a detection limit of 0.087 pg/mL. The linear range for the fluorescence signal was from 10⁻⁴ to 10² ng/mL, with a detection limit of 0.100 pg/mL. The proposed technique was highly sensitive and accurate, which showed promising application prospects in food safety detection.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 2","pages":"293 - 304"},"PeriodicalIF":2.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583572","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}

{"title":"Development of a Method for the Rapid Determination of 17 Veterinary Drug Residues in Foods of Animal Origin by UPLC-MS/MS Combined with Pass-Through SPE Cartridge","authors":"Qianran Sun,&nbsp;Jun Liu,&nbsp;Yuan Gou,&nbsp;Wei Dong,&nbsp;Tao Wang,&nbsp;Huidan Deng,&nbsp;Yi Hua,&nbsp;Yicheng Shi","doi":"10.1007/s12161-024-02712-8","DOIUrl":"10.1007/s12161-024-02712-8","url":null,"abstract":"<div><p>In this study, a method was developed for the rapid determination of 17 veterinary drug residues in foods of animal origin using pass-through solid-phase extraction (SPE) coupled with ultra–high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Two grams of the sample was extracted ussing 8 mL of acetonitrile to water (85:15). An Oasis® HLB cartridge was selected for the clean-up of the sample without activation/calibration and elution. The separation was performed on an Acquity UPLC HSS T3 column (2.1 mm*100 mm, 1.8 μm) with a gradient elution using methanol–0.2% formic acid aqueous solution as the mobile phase. The analytes were detected in polarity switching electrospray ionization (ESI + / −) and multiple reaction monitoring (MRM) modes. The quantification was conducted using a matrix-matched standard solution external standard method. The performance of the employed UPLC-MS/MS method was observed to be satisfactory. The recoveries of the tests were within the range of 65.1–114.4%, with the relative standard deviations (RSDs) being lower than 12.3%. The limits of quantification (LOQs) of the target compounds ranged from 0.3 to 2.0 μg/kg (<i>S</i>/<i>N</i> ≥ 10), which complied with the relevant matrix limits mentioned in the food safety standards of Korea, the United States, and Canada in recent years. Positive samples of pentetrazol were identified in two batches of fish and one batch of chicken. However, the levels did not exceed the maximum residue level (MRL). This method has been successfully employed for the detection of a number of food products of animal origin in the local market, providing a methodological reference in cross-border food safety and testing.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 2","pages":"264 - 280"},"PeriodicalIF":2.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583559","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}

{"title":"Verification Analyses for the Detection of Bovine and Porcine Species in Foods Containing Animal Gelatin with Q-Exactive ORBITRAP Device","authors":"Nuray Gamze Yörük,&nbsp;Feridun Yılmaz,&nbsp;Adem Soycan","doi":"10.1007/s12161-024-02717-3","DOIUrl":"10.1007/s12161-024-02717-3","url":null,"abstract":"<div><p>Animal-derived gelatins are widely used in a variety of foods such as biscuits, chewing gum, chocolate, jelly beans, and confectionery, as well as medicines and food supplements. However, high temperatures, chemical treatments, and other methods used in the production process can damage the animal genes in the gelatin. This makes it difficult to extract DNA from gelatin-containing products and prevents the detection of animal species by technological methods such as real-time polymerase chain reaction (RT-PCR). This problem clearly demonstrates the need for new and more advanced technologies for species identification. In such cases where traditional methods are inadequate, more sensitive and reliable technological approaches should be developed. In this study, verification studies were conducted for species detection on 124 animal gelatin–containing products that could not be identified by RT-PCR due to DNA degradation. This was achieved using Quadrupole (Q) Exactive Orbitrap, a new generation molecular technology. As a result of the study, 62 samples containing bovine gelatin were spiked with 1% pork gelatin, and 62 of the samples were found to be positive for porks by Orbitrap. Similarly, 62 of the 62 samples containing pork gelatin spiked with 1% bovine gelatin were detected as bovine positive by Orbitrap. In this context, successful results were obtained in the detection of beef and pork species with LOD 1% level. The developed method was verified in terms of sensitivity, accuracy, and precision. As a result, limits of quantification (LOQ) were ranging from 10.0 µg/L. As a result, the limit of detection (LOD) was found to be 1%. Furthermore, this method was successfully applied to positive and negative controls.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 2","pages":"281 - 292"},"PeriodicalIF":2.6,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583507","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}

{"title":"Optimization of the Combined Use of Z-Sep Plus and EMR-Lipid in QuEChERS Procedure for the Analysis of Eight Pesticides in Real Milk Samples","authors":"Hatem I. Mokhtar,&nbsp;Ghada M. Salama,&nbsp;Alaa El Gindy,&nbsp;Eman A. Abdel Hameed","doi":"10.1007/s12161-024-02702-w","DOIUrl":"10.1007/s12161-024-02702-w","url":null,"abstract":"<div><p>One of the most applied procedures for the determination of trace analytes in complex matrices is QuEChERS (an acronym for Quick, Easy, Cheap, Effective, Rugged, and Safe). QuEChERS procedures include an extraction step followed by a dispersive solid-phase extraction (dSPE) for analytes cleaning-up from the matrix components. A challenging task in QuEChERS procedures is extracting and determining pesticides from samples of high fat such as milk samples. This challenge induced the innovation of new adsorbents for the clean-up step such as Z-Sep Plus® and EMR-Lipid® to enable removal of fatty matrix components without affecting the recovery of hydrophobic analytes. This work aims to apply experimental design to optimize the combined application of both QuEChERS clean-up adsorbents; Z-Sep Plus® and EMR-Lipid® in addition to other QuEChERS parameters in the determination of eight pesticides: hexachlorocyclohexane, dichlorodiphenyldichloroethane, dichlorodiphenyltrichloroethane, primiphos ethyl, diazinon, malathion, endrin, and dimethoate in milk matrix. This was augmented by optimization of GC–MS/MS and UPLC-MS/MS to detect and determine analytes in extracts. The experimental design of QuEChERS procedure enabled the optimization of Z-Sep Plus®- and EMR-Lipid®-added adsorbent amounts with other method parameters to enable the maximum recovery of analytes. Furthermore, the optimized methods enabled low detection limits of the studied pesticides within a short analysis time (28 min for GC and 12 min for LC methods, respectively). The procedure was validated according to European SANTE/11312/2021 Guideline. Quantitation limit ranged from 1.7 to 3.2 ng/mL for GC–MS/MS method and from 1.7 to 3 ng/mL for UPLC-MS/MS method. Greenness assessment of the methods followed four approaches indicating an excellent value of greenness for the proposed methods. Furthermore, 45 real milk samples collected from the Egyptian market were tested with the developed procedure for the presence of pesticides.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"18 2","pages":"245 - 263"},"PeriodicalIF":2.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-024-02702-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143583557","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}