Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment最新文献

{"title":"Chloroform in food samples from 2014 Canadian total diet study: occurrence and dietary exposure.","authors":"Xu-Liang Cao, Melissa Sparling, Robert Dabeka","doi":"10.1080/19440049.2024.2302098","DOIUrl":"10.1080/19440049.2024.2302098","url":null,"abstract":"<p><p>Chloroform or trichloromethane is one of the trihalomethanes formed during disinfection of water with chlorine, and residues of chloroform can be detected in foods and food products due to the use of chlorinated drinking water and disinfecting food processing equipment with chlorine-based disinfectants. In this study, chloroform was detected in 37 (or 23%) of the 159 composite food samples from the 2014 Canadian Total Diet Study, but was not detected in cereals, fruits, fast foods, and most of the meat samples. Chloroform was detected in almost all 14 composite samples of dairy products, with the highest level (58 ng/g) observed in butter, followed by cream (26 ng/g), and cheese (12-21 ng/g). Chloroform was detected in tap water (23 and 29 ng/g) and most of the beverage samples, but concentrations were lower than those reported in other studies possibly due to evaporation during the preparation of the composite samples. Dietary exposures to chloroform are higher for younger age groups (0.51-1.41 µg/kg body weight/day) than for adults (0.25-0.42 µg/kg body weight/day). Drinking water contributed most to daily intakes for all age groups, accounting for between 62% and 86% of the total chloroform dietary intakes.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139402528","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 immunoassay and LC-tandem mass spectrometry analyses of ractopamine in hog oral fluid.","authors":"Weilin L Shelver, Amy M McGarvey, Jason E Holthusen, Jennifer M Young, Christopher J Byrd, David J Smith","doi":"10.1080/19440049.2023.2300738","DOIUrl":"10.1080/19440049.2023.2300738","url":null,"abstract":"<p><p>The accurate detection of ractopamine in food animals is crucial for marketing since some entities require animals or animal carcasses to be free of ractopamine residues. Field-based ractopamine screening tests that are rapid, sensitive, and capable of high-throughput are highly desirable to ensure that inadvertent exposure to ractopamine did not occur in animals marketed as animals that have not been fed ractopamine. An immunochemically based lateral flow assay was used to analyze oral fluids from hogs never exposed to ractopamine and from hogs that were presumed positives and results were confirmed using an enhanced sensitivity LC-MSMS method. We found that an immunochemically based lateral flow system having a working range of 2.5 to 15 ng mL^-1 worked well as a screening assay with 1.7% false positive results in freshly collected hog oral fluids. Using ractopamine glucuronide standards and LC-MSMS, we determined that the false positive results were not due to the presence of ractopamine glucuronide metabolites in oral fluids.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139402529","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":"Nanoplate-based digital PCR for highly sensitive pork DNA detection targeting multi-copy nuclear and mitochondrial genes.","authors":"Nur Fadhilah Khairil Mokhtar, Ying Quah Shun, Raja Mohd Hafidz Raja Nhari, Nurhidayatul Asma Mohamad, Nur Maisarah Shahidan, Irwan Hanish Warsanah, Amalia Mohd Hashim","doi":"10.1080/19440049.2023.2298476","DOIUrl":"10.1080/19440049.2023.2298476","url":null,"abstract":"<p><p>The inclusion of ingredients derived from pigs in highly processed consumer products poses a significant challenge for DNA-targeted analytical enforcement, which could be overcome by using digital PCR. However, most species detection methods use digital PCR to target single-copy nuclear genes, which limits their sensitivity. In this work, we examined the performance of a nanoplate-based digital PCR method that targets multi-copy nuclear (MPRE42) and mitochondrial (Cyt<i>b</i>) genes. Poor separation of positive and negative partitions, as well as a 'rain effect' were obtained in the porcine-specific MPRE42 assay. Among the optimization strategies examined, the inclusion of restriction enzymes slightly improved the separation of positive and negative partitions, but a more extensive 'rain effect' was observed. The high copy number of the MPRE42 amplicon is hypothesized to contribute to the saturation of the positive signal. In contrast, the porcine-specific Cyt<i>b</i> assay achieved perfect separation of positive and negative partitions with no 'rain effect'. This assay can detect as little as 0.4 pg of pork DNA, with a sensitivity of 0.05% (w/w) in a pork-chicken mixture, proving its applicability for detecting pork in meat and meat-based products. For the MPRE42 assay, potential applications in highly degraded products such as gelatin and lard are anticipated.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139402530","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":"Fish species mislabelling in China: evidence from a survey of frozen, dried, and surimi-based fish products marketed as cod-related species.","authors":"Lili Yao, Shihui Wang, Hanyue Xue, Yanjin Fei, Xiaohui Xiong, Xiong Xiong","doi":"10.1080/19440049.2024.2302962","DOIUrl":"10.1080/19440049.2024.2302962","url":null,"abstract":"<p><p>'Cod'-related species are among the most appreciated marine fish resources around the world, but are also prone to species mislabelling. In the present study, a total of 76 frozen, dried, and surimi-based fish products, sold as 'Cod' (59 products), 'Atlantic authentic Cod' (11 products), and 'Authentic Cod' (6 products), were collected in China. A species-specific LAMP (loop-mediated isothermal amplification) method was used to screen for the presence of Atlantic cod (<i>Gadus morhua</i>), Pacific cod (<i>G. macrocephalus</i>), Alaska pollock (<i>G. chalcogrammus</i>), Southern hake (<i>Merluccius australis</i>), which was cross-confirmed using real-time PCR and DNA sequencing methods. The results highlighted the greatest species diversity for 'Cod' products, and the identified species were from nine different families. It appears that the practice of assigning a specific type or category of species to the common name 'Cod' has not been widely advocated, and the misuse of this ambiguous common name has been a common practice for species adulteration, negatively impacting consumers' rights and marine conservation. To rebuild consumers' confidence, retail fish suppliers have differentiated their products by adding specific qualifiers in front of the common name 'Cod' on the label, such as 'Authentic cod' and 'Atlantic authentic cod'. The endeavour is highly meaningful, since <i>Gadus morhua</i> was identified as the species for a significant majority of 'Atlantic authentic cod' and 'Authentic cod' products (64.7%, 11/17), with the remaining six products identified as Alaskan pollock (<i>G. chalcogrammus</i>), Pacific cod (<i>G. macrocephalus</i>) and North Pacific hake (<i>Merluccius productus</i>). Despite the positive effort to reverse species mislabelling from retail on-line fish suppliers, a standardized fish nomenclature stipulated by the responsible authorities remains crucial for enhancing transparency and continuing to reduce species mislabelling.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139416772","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":"Evaluation of different regression models for detection of adulteration of mustard and canola oil with argemone oil using fluorescence spectroscopy coupled with chemometrics.","authors":"Kunal Shiv, Anupam Singh, Sachin Kumar, Lal Bahadur Prasad, Seema Gupta, Manoj Kumar Bharty","doi":"10.1080/19440049.2023.2297869","DOIUrl":"10.1080/19440049.2023.2297869","url":null,"abstract":"<p><p>Mustard and canola oils are commonly used cooking oils in Asian countries such as India, Nepal, and Bangladesh, making them prone to adulteration. Argemone is a well-known adulterant of mustard oil, and its alkaloid sanguinarine has been linked with health conditions such as glaucoma and dropsy. Utilising a non-destructive spectroscopic method coupled with a chemometric approach can serve better for the detection of adulterants. This work aimed to evaluate the performance of various regression algorithms for the detection of argemone in mustard and canola oils. The spectral dataset was acquired from fluorescence spectrometer analysis of pure as well as adulterated mustard and canola oils with some local and commercial samples also. The prediction performance of the eight regression algorithms for the detection of adulterants was evaluated. Extreme gradient boosting regressor (XGBR), Category gradient boosting regressor (CBR), and Random Forest (RF) demonstrate potential for predicting adulteration levels in both oils with high <i>R</i>² values.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139097695","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 five carbapenems, highly polar antibiotics, in milk by LC-MS/MS.","authors":"Yumi Ohba, Hiroshi Hayashi, Maki Kanda, Chieko Nagano, Souichi Yoshikawa, Takayuki Nakajima, Yoko Matsushima, Hiroshi Koike, Momoka Hayashi, Tomoko Yokoyama, Takeo Sasamoto","doi":"10.1080/19440049.2023.2300338","DOIUrl":"10.1080/19440049.2023.2300338","url":null,"abstract":"<p><p>The simultaneous determination of five carbapenems (biapenem, doripenem, ertapenem, imipenem, and meropenem) in raw and pasteurised bovine milk samples using LC-MS/MS was achieved and validated. Chromatographic separation was conducted on an InertSustain^® AQ-C18 column using 0.1% formic acid in water and acetonitrile as the mobile phase. Target compounds were extracted using acetonitrile/water (20:80, v/v). After the removal of lipids with acetonitrile-saturated hexane, the dissolved protein was denatured with acetic acid. A portion of the supernatant was passed through an Oasis^® PRiME HLB cartridge to remove the matrix. This novel method was validated in accordance with the Japanese validation guidelines and exhibited good trueness, ranging from 86.3% to 96.2%, using matrix-matched calibration curves. The relative standard deviation of repeatability ranged from 1.0% to 6.3%, and that of within-laboratory reproducibility ranged from 1.6% to 7.1%. The limit of quantification was 1.0 µg kg^-1 for all analytes. None of the 60 milk samples commercially available in Tokyo contained any analytes. This novel method exhibited high-quality performance and can easily be implemented for the routine monitoring of carbapenems, which are highly polar antibiotics in milk.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139520149","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":"Application of magnetic dispersive solid phase extraction combined with solidification of floating organic droplet-based dispersive liquid-liquid microextraction and GC-MS in the extraction and determination of polycyclic aromatic hydrocarbons in honey.","authors":"Ali Mohebbi, Ali Akbar Fathi, Mohammad Reza Afshar Mogaddam, Mir Ali Farajzadeh, Saeid Yaripour, Nazir Fattahi","doi":"10.1080/19440049.2023.2301664","DOIUrl":"10.1080/19440049.2023.2301664","url":null,"abstract":"<p><p>A magnetic dispersive solid phase extraction method combined with solidification of floating organic droplet-based dispersive liquid-liquid microextraction has been validated for the extraction of polycyclic aromatic hydrocarbons from honey samples. For this purpose, a carbonised cellulose-ferromagnetic nanocomposite was used as a sorbent through the magnetic dispersive solid phase extraction. For preparation of the sorbent, first, carbonised cellulose nanoparticles were created by treating cellulose filter paper with concentrated solution of sulfuric acid. Then, the prepared nanoparticles were loaded onto Fe₃O₄ nanoparticles through coprecipitation. In the extraction process, first, a few mg of the sorbent was added to the diluted honey solution and dispersed in it using vortex agitation. The particles were then separated and the adsorbed analytes were eluted with an organic solvent. The eluent was taken and after mixing with a water-immiscible extraction solvent was used in the following solidification of floating organic droplet-based dispersive liquid-liquid microextraction procedure. By performing the extraction process under the obtained optimum conditions, low limits of detection (0.08-0.17 ng g^-1) and quantification (0.27-0.57 ng g^-1), satisfactory precision (relative standard deviations ≤ 5.0%), and wide linear range (0.57-500 ng g^-1) with great coefficients of determination (r²≥ 0.9986) were obtained.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139520146","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":"Occurrence of <i>Alternaria</i> secondary metabolites in milling oats and its de-hulled fractions from harvest years 2017 to 2021.","authors":"Anna Marie Behrens, Michael Sulyok, Rudolf Krska, Inga Hennies, Anabel Ern, Christina Blechmann, Jens Christian Meyer","doi":"10.1080/19440049.2023.2294003","DOIUrl":"10.1080/19440049.2023.2294003","url":null,"abstract":"<p><p>In this study, secondary metabolites produced by <i>Alternaria</i> were investigated for their presence in milling oats. For this purpose, pre-cleaned milling oat samples (<i>n</i> = 193), intended for human consumption, out of harvest years 2017 to 2021 originating from different northern European countries were analysed by LC-MS/MS. Alternariol and alternariol methyl ether were positively identified in 38% of the samples with mean values of 2.1 µg/kg and 1.2 µg/kg, respectively. The highest concentrations of 50.5 µg/kg alternariol and 24.2 µg/kg of alternariol methyl ether were detected in a Latvian sample. Tenuazonic acid was found in 45% of all samples, with a mean concentration of 28.9 µg/kg and a maximum concentration of 1430 µg/kg, also in a Latvian sample. Tentoxin was detected in 49% of all samples with a mean value of 1.7 µg/kg. The <i>Alternaria</i> metabolite most frequently detected in 96% of all samples was infectopyrone with a mean concentration of 593 µg/kg and a maximum value reaching up to 3990 µg/kg in a German sample. In addition, eight oat samples were selected to investigate to what extent the <i>Alternaria</i> metabolites are distributed between the oat hulls and the oat kernels. After de-hulling, approximately 23% of <i>Alternaria</i> metabolites were found in the remaining oat kernels. According to the results, alternariol, infectopyrone and altersetin were present in the kernels with the lowest proportion of 10%-20% on average, respectively. The values for tentoxin showed that about 60% of tentoxin was contained in the hulls, while almost 40% remained in the oat kernel. This suggests that potential health risks posed by <i>Alternaria</i> secondary metabolites and metabolites of other fungal genera in milling oats can be reduced by de-hulling.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139402531","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 quinclorac and quinclorac methyl ester in honey by online SPE-UPLC-MS/MS.","authors":"Thomas S Thompson, Johan P van den Heever, Melissa J Zarft, Snezana Dijanovic","doi":"10.1080/19440049.2023.2289131","DOIUrl":"10.1080/19440049.2023.2289131","url":null,"abstract":"<p><p>A method employing online solid phase extraction (SPE) coupled to UPLC-MS/MS was developed for the determination of residues of the acid herbicide quinclorac plus its transformation product, quinclorac methyl ester, in honey. The analytical method involved dissolving the honey in a mixture of methanol:water followed by direct injection into a two-dimensional UPLC system which is used to perform an automated SPE cleanup on a reusable phenyl cartridge prior to the target analytes being transferred onto an analytical UPLC column for subsequent chromatographic separation followed by MS/MS detection. The limits of quantitation for quinclorac and quinclorac methyl ester in honey were both set at 0.5 µg kg^-1 and the method detection limit was estimated to be 0.012 µg kg^-1 for each compound. The working analytical range (0.5-100 µg kg^-1) was validated by analysing a series of spiked replicate honey samples. The method was applied to the analysis of various honeys obtained from numerous different commercial sources. Quinclorac was detected in 9 out of 30 samples at concentrations ranging from 0.6 to 31.5 µg kg^-1. Quinclorac methyl ester, which is estimated to be significantly more toxic than the parent herbicide itself, was not detected in any honey sample.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138482277","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":"Assessment of dietary exposure and levels of mycotoxins in sorghum from Niger State of Nigeria.","authors":"Fatimah Omolola Badmos, Hadiza Lami Muhammad, Achi Dabara, Funmilola Adefolalu, Susan Salubuyi, Abdullahi Abdulkadir, Victor Tope Oyetunji, Daniel Ojochenemi Apeh, Hadiza Kudu Muhammad, Mulunda Mwanza, Maurice Monjerezi, Limbikani Matumba, Hussaini Anthony Makun","doi":"10.1080/19440049.2023.2293998","DOIUrl":"10.1080/19440049.2023.2293998","url":null,"abstract":"<p><p>This study reports levels of mycotoxins in sorghum from Niger State, Nigeria, and provides a comprehensive assessment of their potential health risks by combining mycotoxin levels and dietary exposure assessment. A total of 240 samples of red and white sorghum were collected from both stores and markets across four microclimatic zones. Fungal species were identified using a dilution plate method. Aflatoxins (AFs), deoxynivalenol, nivalenol, and ochratoxin (OTA) were quantified using HPLC, whereas cyclopiazonic acid, fumonisins (FUMs) and zearalenone were quantified using ELISA. <i>A. flavus</i> and <i>A. fumigatus</i> were dominant fungal species followed by <i>F. verticilloides</i>, <i>A. oryzae</i> and <i>P. verrucosum</i>. Aflatoxins (mean: 29.97 µg/kg) were detected in all samples, whereas OTA (mean: 37.5 µg/kg) and FUMs (mean: 3269.8 µg/kg) were detected in 72% and 50% of the samples, respectively. Mycotoxins frequently co-occurred in binary mixtures of AFs + OTA and AFs + FUMs. Dietary exposure estimates were highest for FUMs at 230% of TDI and margin of exposures (MOEs) for both AFs and OTA (<10,000) indicating a potential risk associated with combined exposure to AFs and OTA. The Risk of hepatocellular carcinoma cases (HCC/year) attributable to AFs and OTA exposure from sorghum was estimated to be 5.99 × 10⁵ and 0.24 × 10⁵ cases for HBsAg + individuals based on 13.6% HBV incidence. Similarly, the HCC/year for AFs and OTA were assessed to be 3.59 × 10⁵ and 0.14 × 10⁵ at an 8.1% prevalence rate. Therefore, the results of this study demonstrate the high prevalence and dietary exposure to mycotoxins through sorghum consumption, raising public health and trade concerns.</p>","PeriodicalId":12295,"journal":{"name":"Food Additives and Contaminants Part A-chemistry Analysis Control Exposure & Risk Assessment","volume":null,"pages":null},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138795469","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}