Food Analytical Methods最新文献

{"title":"Cloud Point Extraction Coupled with Ultrasonic-Assisted Back-Extraction for the HPLC-MS Determination of 1H-Triazoles in Foods","authors":"Veronika Yu. Moshkovska,&nbsp;Viktoriia O. Klovak,&nbsp;Valentyna M. Levchyk,&nbsp;Volodymyr O. Doroschuk","doi":"10.1007/s12161-024-02642-5","DOIUrl":"10.1007/s12161-024-02642-5","url":null,"abstract":"<div><p>A method for the determination of tebuconazole, triadimefon, triadimenol, propiconazole, and diniconazole fungicide in vegetables, fruits, and sprouts of wheat and corn by high-performance liquid chromatography coupled to mass detection with cloud point extraction by phases of nonionic surfactant Triton X-114 was developed. The factors influencing the concentration of nonionic surfactant, medium acidity, equilibrium temperature, holding time of solutions in a water bath, and time and speed of centrifugation on extraction parameters were optimized. The complete extraction of analytes into the 0.2% (w/v) Triton X-114 phase occurs in the 2.0–9.0 pH range, provided that the analytes exist in hydrophobic electroneutral molecular forms that effectively transfer to the surfactant-rich phase of the nonionic surfactant at a temperature of 50 °C. The required time for the complete formation of the surfactant-rich phase is more than 15 min when centrifuging solutions at 4000 rpm for 12 min. The developed fungicide determination method is characterized by the limit of detection (3σ) of 0.4–0.8 ng∙mL⁻¹, the limit of quantitation (10σ) of 1.4–2.5 ng∙mL⁻¹, and a working range of 1.4–200 ng∙mL⁻¹. The developed method was applied to the determination of tebuconazole and triadimenol in beets, grapes, and sprouts of wheat and corn after their treatment with industrial fungicide preparations.</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":"17 8","pages":"1208 - 1217"},"PeriodicalIF":2.6,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141369329","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":"Determination of Mineral Profile Using MIP OES and Physicochemical Composition of Cocoa Honey from Different Cocoa Varieties (Theobroma cacao L.)","authors":"Manuela B. Nascimento,&nbsp;Thaís L. Souza,&nbsp;Djalma Lucas S. Maia,&nbsp;Lívia R. Amorim,&nbsp;Alvanice S. L. Ribeiro,&nbsp;Maria E. O. Mamede,&nbsp;Leonardo F. Maciel,&nbsp;Aníbal F. Santos Júnior,&nbsp;Paulo R. R. Mesquita,&nbsp;Sergio E. Soares","doi":"10.1007/s12161-024-02640-7","DOIUrl":"10.1007/s12161-024-02640-7","url":null,"abstract":"<div><p>The present study aims to evaluate the physicochemical composition and mineral profile of cocoa honey from different cocoa varieties (CCN51, PS1319, SJ02, and Parazinho) found in Brazilian territory. The results indicated that the validation parameters of the minerals analyzed (Al, Ba, Cd, Co, Cr, Cu, Fe, Mn, Ni, Sr, Zn, Ca, K, Mg, and Na) by microwave-induced plasma optical emission spectrometry (MIP OES) were considered acceptable. Furthermore, cocoa honey was characterized as an acidic product, with low protein content and high amounts of soluble solids, sugars, and energy value. The presence of magnesium (132.08–198.16 mg Kg⁻¹), high amounts of zinc (3.01–18.76 mg Kg⁻¹), and low amounts of sodium (44.56–94.57 mg Kg⁻¹) provide significant reasons to encourage increased consumption of cocoa honey as a nutritious source. According to multivariate analysis, there was a greater predominance of minerals in CCN51, PS1319, and SJ02 varieties. PS1319 was characterized by the presence of Al, Fe, and Ni, while other parameters (Zn, Sr, N, K, Mg, and Ca) discriminated CCN51 and SJ02 varieties. Thus, the obtained data enabled the delineation of a physicochemical and nutritional profile of cocoa honey based on cocoa variety. This characterization is crucial for enhancing cocoa honey and its potential future technological applications and incorporation into new products.</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":"17 8","pages":"1195 - 1207"},"PeriodicalIF":2.6,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141370632","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":"Rapid Aflatoxin Detection in Black Tea Using Fe3O4 Magnetic Nanoparticle","authors":"Rouhollah Karami-Osboo,&nbsp;Leila Faramarz","doi":"10.1007/s12161-024-02641-6","DOIUrl":"10.1007/s12161-024-02641-6","url":null,"abstract":"<div><p>Tea is a widely consumed non-alcoholic beverage that can be contaminated with mycotoxins, including aflatoxins (AFs), which pose a significant health risk. In this study, a fast and accurate extraction method for the detection of AFs in black tea was developed and optimized. The method utilized Fe₃O₄ magnetic nanoparticles (MNPs) to enhance the extraction efficiency. Various parameters, such as the type and amount of extraction solvents, dilution by water, MNP amount, and extraction model, were investigated to optimize the method. The proposed method demonstrated satisfactory analytical performance, with acceptable recoveries more than 70% and low LODs for all AFs were achieved. The developed nano extraction method was compared to immunoaffinity column chromatography (IAC) cleanup and showed comparable results. The advantages of the proposed method include high speed, low cost, and ease of use. Overall, the method offers a reliable and efficient option for the repetitive analysis of AFs in tea samples.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 8","pages":"1189 - 1194"},"PeriodicalIF":2.6,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372991","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":"Effectiveness of Water Hyacinth Biochar as a Potential Adsorbent in Solid-Phase Extraction Together with Liquid Chromatography-Mass Spectrometry for Determination of Pesticide Residues in Lager Beer","authors":"Roseane dos Santos Nascimento,&nbsp;Luís Fabrício Santana Santos,&nbsp;Sandro Navickiene","doi":"10.1007/s12161-024-02639-0","DOIUrl":"10.1007/s12161-024-02639-0","url":null,"abstract":"<div><p>In this work, we present the development and validation of an extraction analytical method for determination and quantification of 18 pesticides belonging to the chemical classes of benzimidazoles, organophosphates, anilides, triazoles, avermectins, benzoylureas, triazines, pyrethoids, neonicotinoids, and strobilurins in industrial samples of larger beer, employing solid-phase extraction (SPE), ultra-performance liquid chromatography-mass spectrometry. The optimized SPE procedure employed 100 mL of sample, 150 mg of biochar adsorbent, and elution with 3 mL of methanol:dichloromethane (60:40, v/v), resulting in a fast, practical, and economical technique. The methodology showed good linearity (<i>R</i>² &gt; 0.99). The average recoveries (<i>n</i> = 5) for the lowest concentration level ranged from 61 to 102%, with relative standard deviations between 2 and 19%. Detection and quantification limits ranged from 0.05 to 0.08 µg/L and from 0.01 to 0.25 µg/L, respectively. In addition, the method was applied to 13 commercial Pilsen-type larger beer labels, in which pesticide residues were not found.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 8","pages":"1183 - 1188"},"PeriodicalIF":2.6,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141165737","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":"Comparison of Different Spectral Ranges to Monitor Alcoholic and Acetic Fermentation of Red Grape Must Using FT-NIR Spectroscopy and PLS Regression","authors":"Camilla Menozzi,&nbsp;Giorgia Foca,&nbsp;Rosalba Calvini,&nbsp;Lisa Catellani,&nbsp;Andrea Bezzecchi,&nbsp;Alessandro Ulrici","doi":"10.1007/s12161-024-02636-3","DOIUrl":"10.1007/s12161-024-02636-3","url":null,"abstract":"<div><p>Wine vinegar is produced through a two-phase fermentation of grape must: initially, yeast converts grape sugars into ethanol, and subsequently, acetobacteria oxidize ethanol into acetic acid. This process, spanning weeks when conducted by surface fermentation, requires constant monitoring of ethanol and total acidity levels. To enhance the quality and efficiency of process monitoring, vinegar production is shifting to faster, environmentally sustainable methods. Near-infrared (NIR) spectroscopy, recognized for its non-invasiveness and speed, is ideal for online implementation in process control. This study tracked dual fermentation in red grape must over an extended period, monitoring two different batches simultaneously to assess fermentation kinetics and reproducibility. Ethanol content and total acidity were analyzed in fermenting musts throughout the whole fermentation process using both classical laboratory analyses and FT-NIR spectroscopy. Principal Component Analysis (PCA) was used to explore the spectral dataset, then Partial Least Squares (PLS) was used to develop calibration models for predicting ethanol and acidity. The models calculated considering the entire spectral range were compared with those obtained for two narrower zones, where more cost-effective and easily miniaturizable sensors are available on the market. FT-NIR allowed to effectively determine ethanol content and acidity (<i>R</i>²_Pred &gt; 0.98), both over the entire range (12,500–4000 cm⁻¹, corresponding to 800–2500 nm) and in the 10,526–6060 cm⁻¹ (950–1650 nm) region. Although less satisfactory, still acceptable results were obtained in the 12,500–9346 cm⁻¹ (800–1070 nm) region (<i>R</i>²_Pred &gt; 0.81), confirming the potential for cost-effective devices in real-time fermentation monitoring.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 8","pages":"1171 - 1182"},"PeriodicalIF":2.6,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12161-024-02636-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141101778","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}

{"title":"Development of Rapid, Simple and Low-Cost Methods for Quantification of Reducing Sugars in Cow Milk and Derivatives Using Smartphone Digital Images","authors":"Bruna Ramos de Souza Gomes,&nbsp;Maria Eduarda Bezerra Coutinho,&nbsp;Jandyson Machado Santos","doi":"10.1007/s12161-024-02637-2","DOIUrl":"10.1007/s12161-024-02637-2","url":null,"abstract":"<div><p>The quantification of reducing sugars in cow milk and derivatives is necessary for quality control and to ensure food safety for consumers. Here, two rapid and simple methods were developed for the quantification of reducing sugars in samples of milk and derivatives, based on colorimetric assays followed by acquisition of digital images using a smartphone camera and PhotoMetrix® software. The data were processed by univariate analysis with multiple channels, obtaining satisfactory <i>r</i> values (&gt; 0.90) for analytical curves of mixtures of reducing sugars. The methods were validated within a linear range of 10–100 mg mL⁻¹ and were applied in the analysis of eight samples of cow milk or it is derivatives with recovery values ranged from 93.64 to 105.21%, and the results were statistically comparable to those obtained using the reference Lane-Eynon titration method (AOAC 923.09). The new methods present themselves as promising alternatives for the quality control of reducing sugars in the dairy industry. They bring significant benefits, such as affordability, portability, and alignment with green chemistry principles. The sample data acquisition and processing time is only 2 min, enabling the execution of multiple analyses within a brief timeframe. This renders them particularly suitable for applications in routine analysis targeted at food quality control.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 8","pages":"1161 - 1170"},"PeriodicalIF":2.6,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141103829","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 Unique Signature to Define the Extent of Adulteration in Virgin Coconut Oil (VCO) by Localized Surface Plasmon Resonance (LSPR) System","authors":"Ishita Auddy,&nbsp;B. O. Madhu,&nbsp;Shanmugasundaram Saravanan,&nbsp;Ashish Rawson,&nbsp;Chinnaswami Anandharamakrishnan","doi":"10.1007/s12161-024-02632-7","DOIUrl":"10.1007/s12161-024-02632-7","url":null,"abstract":"<div><p>Adulteration of expensive vegetable oils with other cheaper vegetable oils is increasing within the oil traders all across the world. Therefore, developing a method for detection of adulteration in expensive vegetable oil like VCO would be useful. In this study, an android mobile application which can generate signature and barcodes has been developed based on the response (<i>p</i> &lt; 0.05) coupled with the optimized condition of LSPR system for different adulterations in VCO with coconut oil (CO) and mustard oil (MO). The discriminant analysis with samples showed a gradual shift to right with the adulteration, demonstrating the independency of the prediction. The correct % of validated samples was observed to be 81.67% and 80% for adulterated sample of VCO with MO and CO respectively with a cumulative variance of 100%. The LOD and LOQ were found to be 0.23 and 0.77 and 0.21 and 0.72 for adulterated samples of VCO with CO and MO respectively with a linearity range of 10 to 90%. The results showed that the technique has a faster response and lower cost than other conventional methods like FT-R or GC–MS/MS for the detection of adulteration in VCO. However, further research is needed for the advancement of android mobile application and to make the system compatible to detect adulteration with other cheap oils.</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":"17 8","pages":"1149 - 1160"},"PeriodicalIF":2.6,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141117667","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":"Overcoming Challenges in DNA Extractions from Triphala Ingredients: A Way Forward for Optimization of Conventional and Digital PCR Assays for Molecular Authentication","authors":"Tasnim Travadi,&nbsp;Sonal Sharma,&nbsp;Ramesh Pandit,&nbsp;Chaitanya Joshi,&nbsp;Preetam Joshi,&nbsp;Madhvi Joshi","doi":"10.1007/s12161-024-02633-6","DOIUrl":"10.1007/s12161-024-02633-6","url":null,"abstract":"<div><p><i>Terminalia bellirica</i> (TB), <i>Terminalia chebula</i> (TC), and <i>Phyllanthus emblica</i> (PE) fruits are renowned for their diverse therapeutic benefits, propelling their cultivation and use in herbal remedies. However, the global surge in demand driven by the awareness and long-term benefits of using herbal medicines has inadvertently led to a rise in adulteration practices within the herbal market. Recent advancement in DNA authentication of herbal products is constrained by poor quality and quantity of PCR amplifiable DNA obtained from the dried and polyphenol-rich fruits of processed herbal products, resulting in inconsistent PCR amplification due to heterogeneous secondary metabolites. This study tailored a DNA isolation protocol by optimizing buffering strength to stabilize pH and adding phenolic compound scavenger additives, such as polyvinylpyrrolidone, during the cell lysis step. The implemented procedure resulted in significant enhancements in both the quantity and quality of PCR amplifiable DNA. PCR amenability was evaluated using <i>ITS2</i> metabarcode. Later, species-specific assays, targeting ITS-based SCAR markers specific to TB, TC, and PE, were performed on six market powders for each plant species. TB, TC, and PE were detected in 100, 83.3, and 50% of the six market samples, respectively. Digital PCR increases the assay’s sensitivity by two-fold compared to conventional PCR. To the best of our knowledge, this is the first instance of utilizing dPCR for authenticating TB, TC, and PE fruits. The improvised DNA extraction protocol successfully demonstrates how a comprehensive analysis of PCR amplifiable DNA isolation and PCR dynamics enables the effective resolution of challenges related to poor DNA quality and quantity, as well as the inconsistency encountered during PCR due to the heterogeneity of polyphenols.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 7","pages":"1123 - 1133"},"PeriodicalIF":2.6,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141122891","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":"Hyperparameter Optimized Rapid Prediction of Sea Bass Shelf Life with Machine Learning","authors":"Remzi Gürfidan,&nbsp;İsmail Yüksel Genç,&nbsp;Hamit Armağan,&nbsp;Recep Çolak","doi":"10.1007/s12161-024-02635-4","DOIUrl":"10.1007/s12161-024-02635-4","url":null,"abstract":"<div><p>The article focuses on the importance of sea bass, which is preferred by consumers in Turkey and worldwide. However, seafood can deteriorate rapidly under unfavorable conditions during storage due to their nutrient content, water content, and weakness in connective tissues. Temperature changes, inappropriate processing methods during transportation, and temperature changes during storage in markets are reported to cause losses in seafood quality. The deterioration of seafood, especially in seafood stored under inappropriate conditions because of temperature, causes changes contrary to consumer preferences because of the rapid growth of microorganisms, especially odor changes in seafood. This study examines the models related to the discipline of predictive microbiology, which are stated to provide an accurate shelf life prediction of the rate of microbiological spoilage and emphasize the importance of mathematical predictions of these models for seafood. Furthermore, the paper observes that machine learning algorithms such as Random Forest, Decision Tree, k-Nearest Neighbors, AdaBoost, Gradient Tree Boosting, Random Forest, Decision Tree, k-Nearest Neighbors, AdaBoost, and Gradient Tree Boosting have been used to predict the shelf life of seafood products. Finally, how to augment the limited data in a laboratory study to evaluate the shelf life of sea bass stored at different temperatures, how to prove the consistency of the augmented data with the original data, and how to optimize successful machine learning methods for robust problem-solving processes between different engineering fields are explained in detail. The results show that the optimized Extra Tree algorithm is the most successful for <i>Pseudomonas</i> quantity estimation with an <i>R</i>² metric value of 0.9940 and TVC quantity estimation with an <i>R</i>² metric value of 0.9910, while the other algorithms are less successful than this algorithm. These results show that machine learning methods can be a rapid, powerful, and effective tool for shelf life prediction of sea bass. Additionally, it should be emphasized that the number of input parameters (temperature, number of the bacteria) are of utmost significant for augmentation of the data for development and application of the machine learning algorithms.</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 7","pages":"1134 - 1148"},"PeriodicalIF":2.6,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141064125","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":"Polycyclic Aromatic Hydrocarbons (PAHs) in Olive Pomace Oil: Occurrence, Analytical Determination, and Mitigation Strategies","authors":"Laura Barp,&nbsp;Sabrina Moret","doi":"10.1007/s12161-024-02630-9","DOIUrl":"10.1007/s12161-024-02630-9","url":null,"abstract":"<div><p>Environmental pollution, agricultural practices, climate change, and the various stages of edible oil production are responsible for oil contamination with various chemicals. Among vegetable fats, olive pomace oils (OPOs) have higher polycyclic aromatic hydrocarbon (PAH) contents, exceeding the limits in some cases. Several methods for the determination of PAHs in animal and vegetable fats and oils have been published over the years, but they have often failed to eliminate matrix-specific interferences in OPO. The few methods proposed or applied for the specific analysis of PAHs in OPO over the past 20 years are mainly based on two different analytical approaches, namely liquid chromatography-fluorescence detector (LC-FLD) and gas chromatography-mass spectrometry (GC–MS). In the case of the LC-FLD approaches, liquid–liquid extraction with appropriate solvents and one or more purification steps on stationary phases of different compositions are performed. In the case of GC techniques, on the other hand, the most commonly used sample preparation is liquid–liquid partitioning. Due to widespread public concern about PAH contamination, several studies have been conducted to explore ways to mitigate the presence of PAHs in OPOs (i.e., refining processes).</p></div>","PeriodicalId":561,"journal":{"name":"Food Analytical Methods","volume":"17 7","pages":"1100 - 1122"},"PeriodicalIF":2.6,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140929367","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}