Peiqin Shi , Mengfei Yang , Rui Chang , Hongli Yao
{"title":"TasteMolNet: A machine learning-driven platform for sweet, bitter, and tasteless compounds prediction in food chemistry","authors":"Peiqin Shi , Mengfei Yang , Rui Chang , Hongli Yao","doi":"10.1016/j.jfca.2026.108888","DOIUrl":"10.1016/j.jfca.2026.108888","url":null,"abstract":"<div><div>The identification of sweet and bitter compounds is essential for improving the sensory quality of foods, yet traditional analytical methods remain time-consuming and costly. To overcome this limitation, we developed a machine learning framework for high-throughput taste prediction of sweet, bitter, and tasteless compounds. Our optimized model achieved an F1 score of 88.0 %, and its reliability was validated through electronic tongue analysis and molecular docking. Furthermore, we implemented this model into an online platform named TasteMolNet (<span><span>http://www.bstchem.fun/</span><svg><path></path></svg></span>), which serves as a practical tool to accelerate sweetener discovery and bitterness modulation in food research.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108888"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145927811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shihua Zhou , Jie Liu , Yefei Chen , Yanping Gao , Xue Jiang , Lingling Wang , Xiaohong Ou , Yanhong Wang , Tao Zhou , Qing-Song Yuan
{"title":"Rapid and sensitive immunochromatographic assay based on gold nanoparticles for detection of aflatoxin B1 in lotus seeds","authors":"Shihua Zhou , Jie Liu , Yefei Chen , Yanping Gao , Xue Jiang , Lingling Wang , Xiaohong Ou , Yanhong Wang , Tao Zhou , Qing-Song Yuan","doi":"10.1016/j.jfca.2025.108845","DOIUrl":"10.1016/j.jfca.2025.108845","url":null,"abstract":"<div><div>Aflatoxin B1 (AFB1) is a highly toxic mycotoxin that is frequently found in traditional Chinese medicines (TCM), representing a serious threat to the health of both humans and animals. The application of lateral flow immunochromatography (LFIC) test strips in complex matrices such as TCM is constrained by their detection sensitivity. In our study, a competitive LFIC test strip was created for the ultrasensitive determination of AFB1 in lotus seeds. AFB1 antigens were fixed as test-lines, allowing for quick detection within 8 min using a single strip, without requiring expensive instrumentation. The developed assay demonstrated a dynamic detection range of 0.01 ng·mL<sup>−1</sup>∼10 ng·mL<sup>−1</sup> with an ultra-low limit of detection (vLOD) of 0.05 ng·mL<sup>−1</sup> in standard samples, which outperformed previously reported single-toxin LFIC strips based on gold nanoparticles by 2- and 17- fold, respectively. The proposed LFIC test strips were successfully validated in spiked and naturally contaminated lotus seed samples with an LOD of 1.0 μg·kg<sup>−1</sup>, exhibiting excellent accuracy, reproducibility, and sensitivity, which aligned well with the HPLC-FLD and HPLC-MS/MS results. Collectively, this approach provides a sensitive, rapid, and user-friendly platform for on-site AFB1 monitoring in traditional Chinese medicines.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108845"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongkun Lin , Yilan Sun , Xiaolin Li , Zunren Chen , Qinhua Zhang , Qinghui Chen , Huiyue Zhang , Jie Pang , Shiguo Huang
{"title":"Multi-label odor profiling of Osmanthus Oolong tea using graph neural networks: Integrating public databases and PTR-TOF-MS-based aroma compound analysis","authors":"Hongkun Lin , Yilan Sun , Xiaolin Li , Zunren Chen , Qinhua Zhang , Qinghui Chen , Huiyue Zhang , Jie Pang , Shiguo Huang","doi":"10.1016/j.jfca.2025.108827","DOIUrl":"10.1016/j.jfca.2025.108827","url":null,"abstract":"<div><div>Accurate identification of aroma-active compounds is essential for evaluating food quality, sensory characteristics, and authenticity. However, predicting multi-label odor attributes directly from volatile molecular structures remains challenging due to data sparsity and imbalance. In this study, we develop a graph neural network (GNN)-based ensemble framework to support odor profiling in high-aroma tea products. Using two public odor databases (GoodScents and Leffingwell PMP 2001; 4983 molecules, 138 labels), we systematically train and compare multiple GNN architectures (MPNN, GINE, EdgeGAT, PNA) and ensemble strategies. To assess real-world applicability, we analyze four batches of Osmanthus Oolong tea (single and double scented, 2021–2022), identifying 48 volatiles, 16 of which contain odor annotations measured using proton transfer reaction time of flight mass spectrometry (PTR-TOF-MS). Feature-level fusion ensembles achieve the best overall performance, reaching an AUC–ROC of 89.1, precision 66.7, recall 30.2, and an F1-score of 41.6, outperforming individual GNNs (e.g., MPNN 88.7) and traditional machine-learning models such as XGBoost (85.2) and Random Forest (83.3). Incorporating molecular similarity further improves predictions for new compounds. This study demonstrates the potential of integrating odor databases with deep learning to enable data-driven sensory analysis and quality monitoring in flavored foods, offering a scalable solution for aroma evaluation.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108827"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aurora Silva , Cristina Soares , Maria Carpena , Virginia Cruz Fernandes , Franklin Chamorro , Cristina Delerue-Matos , M. Fátima Barroso , M.A. Prieto
{"title":"Nutritional and safety assessment of brown seaweed species and their extracts","authors":"Aurora Silva , Cristina Soares , Maria Carpena , Virginia Cruz Fernandes , Franklin Chamorro , Cristina Delerue-Matos , M. Fátima Barroso , M.A. Prieto","doi":"10.1016/j.jfca.2026.108900","DOIUrl":"10.1016/j.jfca.2026.108900","url":null,"abstract":"<div><div>This study examines the nutritional profiles of <em>Bifurcaria bifurcata</em> (BB), <em>Ascophyllum nodosum</em> (AN), and <em>Fucus spiralis</em> (FS), as well as their extracts obtained through microwave-assisted extraction. Compositional analysis covered residual water, volatiles, fixed carbon, ash, lipids, sugars, protein, and fiber. Proximate analysis revealed high protein levels in FS (9.72 %) and BB (ext) (4.95 %). Lipid content ranged from 1.26 % to 4.49 %, and fiber content averaged 52.3 %, with FS peaking at 60.2 %. The study applied indices of atherogenicity (AI), thrombogenicity (TI), and the hypocholesterolemic/hypercholesterolemic (HH) ratio to assess the cardiovascular impact, with FS exhibiting the healthiest fatty acid combination. Amino acid analysis revealed the presence of all essential amino acids except phenylalanine. Taurine, beneficial for cardiovascular health and scarce in plant sources, was found to be significantly present in BB. Additionally, the presence of polyphenols was assessed by HPLC-MS/MS. It revealed a panoply of phenolic compounds, with phlorotannins accounting for more than 50 % of the compounds detected. Acceptable risk levels were confirmed by Estimated daily intake (EDI), target hazard quotient (THQ), and total cancer risk (TCR) analyses, even when considering moderate values of inorganic arsenic. The results highlight the nutritional value and safety of these macroalgae, emphasizing their potential applications in food.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108900"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amna Saeed , Farooq Anwar , Noranizan Mohd Adzahan , Wan Zunairah Wan Ibadullah , Norhasnida Zawawi
{"title":"Dual thermal valorization of jackfruit seeds for nutritionally tailored plant-based milk alternative","authors":"Amna Saeed , Farooq Anwar , Noranizan Mohd Adzahan , Wan Zunairah Wan Ibadullah , Norhasnida Zawawi","doi":"10.1016/j.jfca.2025.108836","DOIUrl":"10.1016/j.jfca.2025.108836","url":null,"abstract":"<div><div>Jackfruit (<em>Artocarpus heterophyllus</em>) seeds, often underutilized after fruit processing, are rich in starch, protein, and bioactive compounds, making them a promising candidate for producing non-dairy beverage formulations. This study evaluates the impact of dual thermal processing (roasting and repeated boiling) on the yield and nutritional composition, antinutritional factors, physicochemical, and functional properties of jackfruit seed-based milk alternatives (JSBMA). Optimized roasting conditions (72 °C, 34.36 min) based on response surface methodology increased JSBMA extraction yield by 13.7 %, improved its whiteness, and decreased pH, indicating acid formation and non-enzymatic browning. The optimal roasting significantly reduced antinutritional compounds (phytates and tannins), improved protein digestibility, and enhanced viscosity of JSBMA. Meanwhile, sequential boiling of the roasted dregs produced three additional extracts (JSBMA 2–4), each with declining protein, fat, and carbohydrate content. JSBMA 2 offered a favorable balance of nutrition, physical stability, and low glycemic index. JSBMA 1 and JSBMA 2 showed smaller particle sizes and better dispersion (higher stability coefficient), whereas JSBMA 3 and JSBMA 4 showed greater heterogeneity and sedimentation. Overall, the proposed processing strategy supports development of jackfruit seed-based milk alternatives with tailored composition and functionality.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108836"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145882303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youjia Tian , Zhijie Wang , Mengyao Li , Xianwei Luo , Mingxin Yang , Jingru Yang , Bingbing Peng , Jinhong Jiang , Minjie Li , Jia Liu , Dingyu Hu , Juan Li
{"title":"A FRET-triggered probe for specific and interference-resistant detection of organophosphorus pesticides by composite Zr-MOFs","authors":"Youjia Tian , Zhijie Wang , Mengyao Li , Xianwei Luo , Mingxin Yang , Jingru Yang , Bingbing Peng , Jinhong Jiang , Minjie Li , Jia Liu , Dingyu Hu , Juan Li","doi":"10.1016/j.jfca.2026.108901","DOIUrl":"10.1016/j.jfca.2026.108901","url":null,"abstract":"<div><div>Organophosphorus pesticides (OPPs) posed significant risks to both ecological and human health due to their widespread use and toxicity. Traditional detection methods for OPPs are complex and require expensive equipment. In this study, a novel fluorescence-based detection strategy is proposed, using serine-based carbon quantum dots (CQDs) encapsulated in a Zr-based porphyrin metal-organic framework (MOF). This composite material exploits the triggering of fluorescence resonance energy transfer (FRET) between the CQDs and Zr-MOF for selective detection of OPPs. The FRET efficiency of this system is 72.9 %, enabling it to have interference-resistant detection capabilities. The detection limits are approaching the detection limit of gas chromatography (∼5 µg/L). The probe is applicable for environmental monitoring and food safety testing, offering a promising alternative for rapid on-site detection of OPPs without relying on enzymes.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108901"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Validation of benchtop NMR-based quantification of saturated, monounsaturated, and polyunsaturated fatty acids in edible oils","authors":"Umrbek Mavlanov , Sardorbek Atajanov , Sharofiddin Nuriddinov , Sardorjon Shukurov Salimovich , Soyibjon Bozorov , Tomasz Paweł Czaja , Bekzod Khakimov","doi":"10.1016/j.jfca.2026.108897","DOIUrl":"10.1016/j.jfca.2026.108897","url":null,"abstract":"<div><div>Proton nuclear magnetic resonance (<sup>1</sup>H NMR) spectroscopy offers rapid quantification of saturated (SFA), monounsaturated (MUFA), and polyunsaturated (PUFA) fatty acids in oils. While high-field NMR has been widely applied, its high operational costs limit accessibility. In contrast, benchtop NMR provides an affordable and user-friendly option for oil analysis. However, its lower sensitivity and resolution have led methods to rely on chemometric modeling, requiring spectra acquired under identical conditions as the reference model, thereby restricting applicability. In this study, we validated for the first time a benchtop (80 MHz) <sup>1</sup>H NMR method for direct quantification of SFA, MUFA, and PUFA in oils using integration of characteristic resonances, enabling a model-free and reproducible approach. To our knowledge, this is the first benchtop NMR validation of SFA, MUFA, and PUFA resonances using authentic triglyceride standards, glyceryl tridecanoate, glyceryl trioleate, and glyceryl trilinoleate, respectively. Binary and ternary mixtures, natural oil blends, and spiked sunflower oils prepared from these standards enabled the direct comparison of fatty acid quantification between benchtop and high-field (500 MHz) <sup>1</sup>H NMR. Our optimized workflow enabled both platforms to deliver comparable accuracy and reproducibility. This validated, model-free approach provides reliable fatty acid profiling, accelerating oil analysis in research and quality control laboratories.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108897"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Simultaneous estimation of Linalool and Eugenol in herbal formulations using a validated RP-HPLC method: A green analytical approach","authors":"Ankita Das , Parixit Prajapati","doi":"10.1016/j.jfca.2026.108909","DOIUrl":"10.1016/j.jfca.2026.108909","url":null,"abstract":"<div><div>Linalool and Eugenol commonly found in herbal products happen to be major bioactive components because of their anti-inflammatory, antioxidant, as well as antimicrobial activities. For the quality control and standardization of these products, a strong analytical technique that truly is effective enough is necessary. The current study develops and validates a reversed-phase high-performance liquid chromatography method that is sufficiently simple, accurate, and precise. The method quantifies combined amounts of Linalool and Eugenol in the herbal formulations. A C18 column that flowed at 1.0 mL/min separated chromatographically using acetonitrile and water mobile phase (55:45, %v/v). The approach was validated in accordance with ICH Q2(R2) guidelines for parameters like linearity, specificity, LOQ, LOD, robustness, accuracy, and precision. For both of the analytes with correlation coefficients greater than 0.9957, the technique demonstrated quite good linearity. This linearity was present between about 2–30 µg/mL. AGREE, GAPI, NEMI, tools were used to evaluate the method's greenness. Concepts of White Analytical Chemistry (WAC) were brought in using RGB fast, as well as BAGI models. Sustainability, safety, and environmental footprint, for each of the method were assessed. The method developed was successfully used in commercial herbal products, proving its applicability for routine quality control purposes.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108909"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145978079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of nutritional and functionality potential of Palak (Beta vulgaris var. bengalensis) germplasm: A mineral-rich Northern Indian traditional and underutilized green leafy vegetable","authors":"Partik Sharma, Hira Singh, Vivek Sharma, Vikas Kumar, Monika Mahajan","doi":"10.1016/j.jfca.2026.108892","DOIUrl":"10.1016/j.jfca.2026.108892","url":null,"abstract":"<div><div>The present investigation aimed to genetically evaluate palak (<em>Beta vulgaris</em> var. <em>bengalensis</em>) germplasm to identify nutritionally superior genotypes rich in essential minerals and bioactive compounds. Forty genetically diverse genotypes were biochemically profiled over two consecutive seasons. Genetic variability, heritability, and trait associations were assessed through parameter estimation, principal component analysis (PCA), correlation, and hierarchical clustering. Substantial diversity was observed for mineral nutrients (Zn, Cu, Fe, Mn, Mg, K, Na, S) and phytochemicals [total phenolic content (TPC), total flavonoid content (TFC), antioxidant activity (DPPH)]. Genotype PP35 showed maximum Mg (9751.33), Cu (17.60), and K (1476.23) in mg/kg, while PP36 exhibited highest Zn (86.83 mg/kg), P (9533.33 mg/kg), and Fe (829.47 mg/kg) concentrations with high inter-seasonal stability. PP46 and PP47 recorded > 93 % DPPH inhibition, and PP17 and PP7 showed > 430 mg GAE/100 g DW TPC. High heritability (>0.95) and genetic advance for Fe, TPC, TFC, S, P, and K indicated strong additive gene action. PCA revealed that PC1 and PC2 explained 43.5 % of total variation. Cluster analysis identified eight elite genotypes combining micronutrient density, antioxidant potential, and stability. These findings provide a genetic foundation for biofortification and functional food development to enhance nutritional security.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108892"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Uche O. Arunsi , Eziuche A. Ugbogu , Chollom L. Israel , Victor C. Nwankwo , Chinonye C. Arunsi , Daniel C. Ezirim , Ahmad Altayyar , Tuba Esatbeyoglu , Solomon Owumi
{"title":"Nutritional composition, phytochemistry, and mechanistic insights into the health-promoting properties of Termitomyces robustus: A comprehensive review","authors":"Uche O. Arunsi , Eziuche A. Ugbogu , Chollom L. Israel , Victor C. Nwankwo , Chinonye C. Arunsi , Daniel C. Ezirim , Ahmad Altayyar , Tuba Esatbeyoglu , Solomon Owumi","doi":"10.1016/j.jfca.2026.108903","DOIUrl":"10.1016/j.jfca.2026.108903","url":null,"abstract":"<div><div><em>Termitomyces robustus</em> is a seasonal edible mushroom with significant nutritional and therapeutic potential. This review summarizes its nutritional content, phytochemical profile, and health-promoting properties based on research from ScienceDirect, Wiley, Springer, and PubMed. <em>T. robustus</em> contains various bioactive compounds, including gallic acid, chlorogenic acid, caffeic acid, ellagic acid, catechin, epicatechin, rutin, isoquercitrin, quercitrin, quercetin, and kaempferol, which have antioxidant, anti-inflammatory, antidiabetic, antimicrobial, and antifungal effects. The mushroom also provides a rich source of B vitamins, essential for carbohydrate metabolism. Toxicological studies confirm it is safe for consumption. Mechanistic evidence indicates these compounds influence key biological pathways such as Nrf2/KEAP1, TBK1, PPAR-γ, and α-amylase, supporting their potential medical use. However, research gaps remain, including optimal doses and effects on protein expression, which should be explored with high-throughput techniques. Additionally, studying new bioactive compounds in <em>T. robustus</em> could lead to new therapeutic options. This review emphasizes the nutritional and medicinal importance of <em>T. robustus</em> and supports its wider study in functional foods and pharmaceuticals.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"150 ","pages":"Article 108903"},"PeriodicalIF":4.6,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146023615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}