SCImago
Q2
SJR
0.668
CiteScore
4.6
Categories
Biomedical Engineering
Biophysics
Biotechnology
Electrochemistry
Areas
Biochemistry, Genetics and Molecular Biology
Chemistry
Engineering
Years of issue
2019-2025
journal names
Biosensors and Bioelectronics: X
Top-3 citing journals
Top-3 organizations
![University of Texas at Dallas](/storage/images/resized/GPQYk3NDcQQVeC7dIVmimTUfGXpSHyLaanViVwus_large.webp)
University of Texas at Dallas
(11 publications)
![Institute of Biochemistry and Physiology of Plants and Microorganisms SarSc of the Russian Academy of Sciences](/storage/images/resized/cwpbvrhbaqU68mqeW0QKTG1eZDSdjFdJ6ugI9w3j_large.webp)
![Indian Institute of Technology Bombay](/storage/images/resized/974AXNNmIV5DCtDZYkeqXZVQh4MMrqNXzikZEygw_large.webp)
Indian Institute of Technology Bombay
(6 publications)
![University of Texas at Dallas](/storage/images/resized/GPQYk3NDcQQVeC7dIVmimTUfGXpSHyLaanViVwus_large.webp)
University of Texas at Dallas
(11 publications)
![Institute of Biochemistry and Physiology of Plants and Microorganisms SarSc of the Russian Academy of Sciences](/storage/images/resized/cwpbvrhbaqU68mqeW0QKTG1eZDSdjFdJ6ugI9w3j_large.webp)
![Indian Institute of Technology Bombay](/storage/images/resized/974AXNNmIV5DCtDZYkeqXZVQh4MMrqNXzikZEygw_large.webp)
Indian Institute of Technology Bombay
(6 publications)
Most cited in 5 years
Found
Publications found: 5483
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Broadly Targeted Metabolomics Analysis of Differential Metabolites Between Bupleurum chinense DC. and Bupleurum scorzonerifolium Willd.
Li M., Zhang Q., Zhu T., Liu G., Chen W., Chen Y., Bu X., Zhang Z., Zhang Y.
Background/Objectives: Bupleuri Radix is a plant in the Apiaceae family Bupleurum Chinense DC. or Bupleurum scorzonerifolium Willd. root. The dissimilarities in the metabolite profiles of plants directly correlate with the disparities in their clinical efficacy. Methods: Therefore, the wild Bupleurum Chinense DC. (YBC) and wild Bupleurum scorzonerifolium Willd. (YNC) were used as research materials. They were analyzed using the UPLC-MS/MS and the similarities and differences were uncovered based on differential metabolites. Results: Our results proved that the differences in clinical efficacy between YBC and YNC may be attributed to their distinct metabolite profiles, as follows: (1) a total of 12 classes of 2059 metabolites were identified in the roots, with phenolic acids, terpenoids, and flavonoids being the most abundant metabolic products, with 2026 shared components between the two, 2045 in YBC, and 2040 in YNC; (2) a total of 718 differential metabolites were identified, accounting for 35.44% of the shared metabolites. Among them, YBC had 452 metabolites with higher content relative to YNC, representing 62.95%, and 266 components with lower content, representing 37.05%; (3) the KEEG enrichment analysis results show that the differential metabolic pathways are flavone and flavonol biosynthesis, linoleic acid metabolism, arachidonic acid metabolism, sesquiterpenoid and triterpenoid biosynthesis, and linolenic acid metabolism. Conclusions: These new findings will serve as a foundation for further study of the BR biosynthetic pathway and offer insights into the practical use of traditional Chinese medicine in clinical settings.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
The Potential Role of Intestinal Microbiota on the Intestine-Protective and Lipid-Lowering Effects of Berberine in Zebrafish (Danio rerio) Under High-Lipid Stress
Gao C., Wang H., Xue X., Qi L., Lin Y., Wang L.
Background: Berberine has extremely low oral bioavailability, but shows a potent lipid-lowering effect, indicating its potential role in regulating intestinal microbiota, which has not been investigated. Methods: In the present study, five experimental diets, a control diet (Con), a high-lipid diet (HL), and high-lipid·diets·supplemented with an antibiotic cocktail (HLA), berberine (HLB), or both (HLAB) were fed to zebrafish (Danio rerio) for 30 days. Results: The HLB group showed significantly greater weight gain and feed intake than the HLA and other groups, respectively (p < 0.05). Hepatic triglyceride (TG) and total cholesterol (TC) levels, lipogenesis, and proinflammatory cytokine gene expression were significantly upregulated by the high-lipid diet, but significantly downregulated by berberine supplementation. Conversely, the expression levels of intestinal and/or hepatic farnesoid X receptor (fxr), Takeda G protein-coupled receptor 5 (tgr5), lipolysis genes, and zonula occludens 1 (zo1) exhibited the opposite trend. Compared with the HLB group, the HLAB group displayed significantly greater hepatic TG content and proinflammatory cytokine expression, but significantly lower intestinal bile salt hydrolase (BSH) activity and intestinal and/or hepatic fxr and tgr5 expression levels. The HL treatment decreased the abundance of certain probiotic bacteria (e.g., Microbacterium, Cetobacterium, and Gemmobacter) and significantly increased the pathways involved in cytochrome P450, p53 signaling, and ATP-binding cassette (ABC) transporters. The HLB group increased some probiotic bacteria abundance, particularly BSH-producing bacteria (e.g., Escherichia Shigella). Compared with the HLB group, the abundance of BSH-producing bacteria (e.g., Bifidobacterium and Enterococcus) and pathways related to Notch signaling and Wnt signaling were reduced in the HLAB group. Conclusions: This study revealed that berberine’s lipid-lowering and intestine-protective effects are closely related to the intestinal microbiota, especially BSH-producing bacteria.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Potential Biomarkers of Fatal Hypothermia Revealed by UHPLC-MS Metabolomics in Mice
Cao X., Wu Z., Ma X., Deng W., Chen D., Liu J., Li J., Wang H., Pei B., Zhao D., Wang Q.
Background: The postmortem diagnosis of fatal hypothermia presents a considerable challenge in forensic medicine. Metabolomics, a powerful tool reflecting comprehensive changes in endogenous metabolites, offers significant potential for exploring disease mechanisms and identifying diagnostic markers. Methods: In this study, we employed ultra-high-performance liquid chromatography–mass spectrometry (UHPLC–MS) to perform a non-targeted metabolomic analysis of liver, stomach, spleen, and musculus gastrocnemius tissues from mice subjected to fatal hypothermia. Result: A substantial number of differential metabolites were identified in each tissue: 1601 in the liver, 420 in the stomach, 732 in the spleen, and 668 in the gastrocnemius muscle. The most significantly altered metabolites were as follows: magnoflorine (liver, upregulated, ranked first in fold-change), gibberellic acid (stomach, downregulated, ranked first in fold-change), nitrofurantoin (spleen, upregulated, ranked first in fold-change), and isoreserpin (gastrocnemius muscle, downregulated, ranked first in fold-change). Glycerophospholipid metabolism exhibited notable enrichment in all tissues (spleen: second, liver: tenth, stomach: eleventh, gastrocnemius muscle: twenty-first), as did tryptophan metabolism (spleen: thirteenth, liver: eighth, stomach: third, gastrocnemius muscle: seventeenth). Conclusions: Our findings provide insights into the metabolic perturbations associated with fatal hypothermia in different tissues and lay a foundation for the identification of potential tissue biomarkers for forensic diagnosis.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Multi-Omics Approach to Evaluate Effects of Dietary Sodium Butyrate on Antioxidant Capacity, Immune Function and Intestinal Microbiota Composition in Adult Ragdoll Cats
Zhang A., Li D., Yu T., Zhang M., Cui Y., Wang H., Dong T., Wu Y.
Objectives: Sodium butyrate (SB) is a typical postbiotic known to positively affect economic animals in recent years, but research on SB in pet cats is scarce. Consequently, this study sought to explore the influence of SB on anti-inflammatory and antioxidant capacity, immune function, and gut microbiota of adult cats through the assessment of biochemical parameters and comprehensive integrative omics analysis. Methods: A total of 30 adult cats were divided into three groups: a basal diet (NC), basal diet with 0.05% SB (SB5), and basal diet with 0.1% SB (SB10). The experiment lasted for 6 weeks. Results: The results indicated that the fecal level of calprotectin was lower in the SB10 group than in the SB5 and NC groups. The SB10 group reduced the serum levels of TNF-α, IL-1β and DAO compared with the NC group (p < 0.05). In addition, the SB10 diet increased the GSH-Px level and decreased MDA content compared with the NC diet (p < 0.05). Transcriptomic analysis showed that the gene expression of VCAM1 exhibited a notable decrease in the SB10 group compared to the NC group (p < 0.05). The analysis of gut microbiota revealed that the richness of gut microbiota was higher in the SB10 than in the NC group (p < 0.05), and the abundance of Lachnospiraceae, Lachnoclostridium, Blautia, and Roseburia was greater in the SB10 than in the NC group (p < 0.05). Conclusions: Dietary SB could enhance the antioxidant and anti-inflammatory capacity, improve immune function, and positively regulate the gut microbiota composition in adult cats.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Differences in the Prevalence and Clinical Correlates Between Early-Onset and Late-Onset Major Depressive Disorder Patients with Comorbid Abnormal Lipid Metabolism
Huang X., Wu A., Zhang X.
Background and Objectives: Growing evidence suggested that abnormal lipid metabolism (ALM) was associated with an increased severity of depressive symptoms, but no previous studies have examined the differences in comorbid ALM in major depressive disorder (MDD) patients of different ages of onset. We aim to compare the differences in the prevalence and clinical correlates of ALM between early-onset and late-onset patients with first-episode and drug-naive (FEDN) MDD patients. Methods: Using a cross-sectional design, we recruited a total of 1718 FEDN MDD outpatients in this study. We used the 17-item Hamilton Rating Scale for Depression (HAMD-17), The Hamilton Anxiety Rating Scale (HAMA), the Positive and Negative Syndrome Scale (PANSS) positive subscale, and Clinical Global Impression-Severity Scale (CGI-S) to assess their depression, anxiety, and psychotic symptoms and clinical severity, respectively. Results: There were 349 patients (20.3%) in the early-onset subgroup and 1369 (79.7%) in the late-onset subgroup. In this study, 65.1% (1188/1718) of patients were diagnosed with ALM. The prevalence of ALM in the late-onset group (81.5%, 1116/1369) was significantly higher than that in the early-onset group (20.6%, 72/349) (p = 0.36, OR = 1.147, 95%CI = 0.855–1.537). The HAMD total score (OR = 1.34, 95% CI = 1.18–1.53, p < 0.001) was the only risk factor for ALM in early-onset MDD patients. In late-onset MDD patients, the HAMD total score (OR = 1.19, 95% CI = 1.11–1.28, p < 0.001), TSH (OR = 1.25, 95% CI = 1.16–1.36, p < 0.001), CGI (OR = 1.7, 95% CI = 1.31–2.19, p < 0.001), and anxiety (OR = 2.22, 95% CI = 1.23–4.02, p = 0.008) were risk factors for ALM. Conclusion and Scientific Significance: Our results suggest that there are significant differences in the prevalence and clinical factors of comorbid ALM between early-onset and late-onset FEND MDD patients.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Metabolomic Analysis of Maize Response to Northern Corn Leaf Blight
Gu Y., Yan B., Yang Y., Huang Y., Liu X., Liu S.
Background: As a major food crop, maize is highly susceptible to pathogenic bacteria, which greatly reduces its yield and quality. Metabolomics reveals physiological and biochemical changes in organisms and aids in analyzing metabolic changes caused by various factors. Methods: This study utilized metabolomics to examine maize’s metabolic changes after NCLB infestation, aiming to uncover related pathways and potential biomarkers. The metabolite measurements were performed during the maize silking stage. Results: PCA showed an obvious dispersion between the treated and untreated groups. OPLS-DA identified 1274 differential metabolites, with 242 being downregulated (mainly phenolics and esters) and 1032 upregulated (primarily organic acids, amino acids, sugars, and derivatives). KEGG annotation revealed 50 affected metabolic pathways, and the biosynthesis of secondary metab-olites and amino acids was significantly enriched. Conclusions: We hypothesized that metabolic pathways related to sugar metabolism, proline metabolism, and jasmonic acid synthesis are associated with NCLB susceptibility. These findings provide critical insights into the metabolic responses of maize to biotic stress, offering a theoretical basis for future research on plant resistance mechanisms.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Advanced Machine Learning for Comparative Synovial Fluid Analysis in Osteoarthritis and Rheumatoid Arthritis
Kopeć K.K., Uccheddu G., Chodnicki P., Noto A., Piras C., Spada M., Atzori L., Fanos V.
Osteoarthritis (OA) and rheumatoid arthritis (RA) are joint diseases that share similar clinical features but have different etiologies, making a differential diagnosis particularly challenging. Background/Objectives: Utilizing advanced machine learning (ML) techniques on metabolomic data, this study aimed to identify key metabolites in synovial fluid (SF) that could aid in distinguishing between OA and RA. Methods: Metabolite data from the MetaboLights database (MTBLS564), analyzed using nuclear magnetic resonance (NMR), were processed using normalization, a principal component analysis (PCA), and a partial least squares discriminant analysis (PLS-DA) to reveal prominent clustering. Results: Decision forests and random forest classifiers, optimized using genetic algorithms (GAs), highlighted a selection of a few metabolites—primarily glutamine, pyruvate, and proline—with significant discriminative power. A Shapley additive explanations (SHAP) analysis confirmed these metabolites to be pivotal predictors, offering a streamlined approach for clinical diagnostics. Conclusions: Our findings suggest that a minimal set of key metabolites can effectively be relied upon to distinguish between OA and RA, supported by an optimized ML model achieving high accuracy. This workflow could streamline diagnostic efficiency and enhance clinical decision-making in rheumatology.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
A Multicenter Exploration of Sick Building Syndrome Symptoms in Malaysian Schools: Indoor Pollutants, Microbial Taxa, and Metabolites
Zhang Y., Bu Y., Chen Y., Chen P., Du B., Hashim J.H., Hashim Z., Wieslander G., Norbäck D., Xia Y., Fu X.
Background: The role of the indoor microbiome in sick building syndrome (SBS) is well-recognized, yet prior studies have been limited to single-center analyses, limiting a broader understanding and applicability of their findings. Methods: We conducted a multicenter indoor microbiome and metabolome investigation for SBS, involving 1139 middle school students across three regions in Malaysia (Johor Bahru, Terengganu, and Penang). Using high-throughput amplicon sequencing and untargeted LC-MS, indoor microbiome and metabolites were characterized from classroom dust samples. Results: The study found that the prevalence of SBS symptoms was high across all three centers (51.0% to 54.6%). Environmental characteristics, including indoor NO2 and CO2 concentrations and total weight of indoor dust, were positively associated with SBS (p < 0.01, linear regression). Curtobacterium in Terengganu was negatively associated with SBS, and Clostridium perfringens in Johor Bahru was positively associated with SBS (p < 0.01, FDR < 0.05). Whereas all identified fungal taxa, including an uncharacterized uc_f_Auriculariaceae_sp., Duportella kuehneroides, and Wallemia mellicola, were positively associated with SBS (p < 0.01, FDR < 0.05) in Johor Bahru and Terengganu. Mediation analysis revealed that the adverse health effects of NO2 on SBS were partially mediated by the increased abundance of uc_f_Auriculariaceae_sp. (p < 0.05, total effect mediated 51.40%). Additionally, potential protective metabolites (S-adenosylmethionine, N-acetylserotonin, sphinganine, 4-hydroxy-2-quinolone, and (2E,4Z,8E)-Colneleic acid) were mainly derived from environmental microorganisms, conferring protective effects against nasal symptoms and tiredness. In contrast, synthetic chemicals were associated with higher SBS symptoms, inducing eye and nasal symptoms. Conclusions: This study emphasizes both the significance of fostering a balanced indoor microbiome/metabolite and the necessity to reduce exposure to deleterious substances, providing new insights for future targeted intervention strategies.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Toxic Effects of Exposure to Phthalates on Cardiac Injury Biomarkers: Evidence from NHANES 1999–2004
Li H., Bu J., Xing W.
Background: Humans are consistently and increasingly exposed to phthalate products, but the effect of the combined exposure to phthalates on myocardial injury remains largely unexplored. The present study aimed to explore the effect of the combined exposure to phthalates on myocardial injury. Methods: A total of 1237 male adults (aged ≥20) without coronary artery disease (CAD) from the National Health and Nutrition Examination Survey (NHANES) in 1999–2004 were included in the current study. Multiple linear regression, Bayesian kernel machine regression (BKMR), and a weighted quantile sum (WQS) model were employed to examine the associations of urinary phthalate metabolites with two cardiac injury biomarkers, including troponin T (TNT) and troponin I, using four highly sensitive assays (Abbott, Chicago, IL, USA Siemens, Erlangen, Germany; and Ortho, Raritan, NJ, USA) (TNIA, TNIS, TNIO). Results: According to the linear regression analysis, mono-(3-carboxypropyl) phthalate (MCPP, a metabolite of di-n-octyl phthalate) was found to be positively associated with serum TNT; a positive association was found between mono-isobutyl phthalate (MiBP, a metabolite of di-isobutyl phthalate) and TNIA, as well as MiBP and TNIS. Mono-benzyl phthalate (MBzP, a metabolite of butyl benzyl phthalate) and MCPP were positively associated with serum TNIO. The BKMR analyses showed a positive overall relationship of serum TNT, TNIA, TNIS, and TNIO with increased concentrations of phthalate metabolites. The WQS model showed MCPP and MBzP were the top two contributors to being an increased risk for elevated TNT levels. MCPP and mono-ethyl phthalate (MEP, a metabolite of diethyl phthalate) were identified as the leading contributors to increased TNIA and TNIS. MCPP and MBzP were the dominant contributors to elevated TNIO. Conclusions: As a combined mixture, phthalate metabolites were positively associated with serum TNT and TNI among adults without CAD, indicating the potential toxic effect of phthalate exposure on cardiac injury.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Bacillusmegaterium DSM 32963 Enhances Specialized Pro-Resolving Mediator Production from an n-3 PUFA Salt in a Dynamic Model of the Human Intestine
Speckmann B., Jordan P.M., Werz O., Hofstetter R.K., Ehring E., Vogel M., Venema K.
Background: Omega-3 polyunsaturated fatty acids (n-3 PUFA) have been used in the treatment of inflammatory bowel diseases (IBD) and irritable bowel syndrome (IBS), and their effects are potentiated upon conversion to specialized pro-resolving mediators (SPM). Recent studies indicated that the probiotic bacterial strain Bacillus megaterium DSM 32963 can be used to enhance the production of SPM and its precursors in vivo. Methods: Here, we explored the contribution of Bacillus megaterium DSM 32963 to SPM production in a validated, dynamic model of the upper and lower intestine. The TIM-1 and TIM-2 models were applied, with the TIM-2 model inoculated with the fecal microbiota of healthy individuals and probed with an n-3 PUFA lysine salt with and without Bacillus megaterium DSM 32963 or an SPM-enriched fish oil or placebo. Kinetics of SPM production were assessed by metabololipidomics analysis, and survival and engraftment of the Bacillus megaterium strain was monitored by plate counting and by strain-specific qPCR. Results: Bacillus megaterium DSM 32963 poorly survived TIM-1 conditions but propagated in the TIM-2 model, where it enabled the metabolism of n-3 PUFA to SPM (resolvin E2 and protectin DX) and SPM precursors (e.g., 5-hydroxyeicosapentaenoic acid (5-HEPE), 15-HEPE, 18-HEPE, 4-hydroxydocosahexaenoic acid (4-HDHA), 10-HDHA, and 17-HDHA, among other EPA- and DHA-derived metabolites) with significantly higher levels of lipid mediator production compared to the n-3 PUFA lysine salt alone; esterified n-3 PUFA were hardly converted by the microbiota. Conclusions: These findings reinforce that Bacillus megaterium DSM 32963 facilitates SPM production in situ from bioavailable n-3 PUFA in the large intestine, highlighting its use to complement eukaryotic SPM biosynthesis by the host and its possible therapeutic use for, e.g., IBD and IBS.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Omics Analysis Revealing Flavonoid Content During Maize Grain Germination
Tian X., Chen L., Sun L., Gong K., Liu K., Guo Y.
Background/Objectives: The germination process initiates an active process of secondary metabolism, which produces a series of secondary metabolites, including flavonoids. Methods: A metabolomics and transcriptomics analysis was conducted on maize grains germinated at three different stages. Results: A total of 374 metabolites were detected in maize grains. From the raw maize grain to various stages of germination, 3 anthocyanins, 61 flavones, 12 flavonols, 13 flavanones, and 6 isoflavones were identified, respectively. An integrated omics analysis discovered that a total of 16 flavonoid metabolites were mapped to 4 KEGG pathways, which were associated with 40 related genes. This indicates that germination has significant benefits in improving the nutritional function of corn kernels. Conclusions: In summary, the findings of this study provide valuable insights into flavonoid metabolites and related genes, demonstrating the profound impact of germination treatment on the nutritional and functional aspects of maize grains.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Oregano Young Plants Cultured at Low Temperature Reveal an Enhanced Healing Effect of Their Extracts: Anatomical, Physiological and Cytotoxicity Approach
Stefi A.L., Chalkiadaki M., Dimitriou K., Mitsigiorgi K., Gkikas D., Papageorgiou D., Ntroumpogianni G.C., Vassilacopoulou D., Halabalaki M., Christodoulakis N.S.
Background: The germination and early development of Origanum vulgare L. subsp. hirtum (Link) Ietswaart (Greek oregano) were studied to assess the plant’s response to different temperatures. Methods: After germination, seedlings were cultivated in control (25 °C) and cold (15 °C) chambers with standard growth parameters. Comparative analyses of plant morphology and leaf anatomy were conducted to identify structural modifications induced by different temperatures. Physiological evaluations, including photosynthetic pigment measurements, phenolic content, and antioxidant activity, were performed to assess differences between the plants grown under the two temperature conditions. Methanolic extracts from the leaves were tested for cytotoxicity on MCF-7 breast adenocarcinoma cells and SH-SY5Y neuroblastoma cells, as well as on nine microbial strains. Additionally, biomarkers from the leaves affected by temperature changes were determined using LC-HRMS/MS analysis. Results: Comparative analyses revealed distinct structural and physiological modifications under cold conditions. The methanolic extracts from plants grown at 15 °C exhibited notably higher cytotoxic activity in both cell lines but demonstrated no activity against microbial strains. The results highlight the influence of low temperature on enhancing the bioactive properties of Greek oregano. Conclusions: The findings provide valuable insights into the environmental adaptability of oregano, demonstrating the impact of low temperature on its bioactive properties. The therapeutic potential of methanolic extracts cultured at 15 °C is imprinted in cytotoxicity in SH-SY5Y and MCF-7 cells and the absence of any activity against microbial strains.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Reference Intervals of Serum Metabolites and Lipids of a Healthy Chinese Population Determined by Liquid Chromatography-Mass Spectrometry
Zhang Y., Zhao J., Zhao H., Lu X., Jia X., Zhao X., Xu G.
Background: Metabolomics serves as a very useful tool for elucidating disease mechanisms and identifying biomarkers. Establishing reference intervals (RIs) of metabolites in a healthy population is crucial to the application of metabolomics in life sciences and clinics. Methods: We enrolled 615 healthy Chinese adults aged between 21 and 85 years. Their health status was ascertained through clinical examinations, biochemical parameters, and medical history. Targeted metabolomics and lipidomics analyses were applied to quantify 705 metabolites and lipids in the serum, establishing RIs and investigating the effect of sex and age on the metabolome and lipidome. Results: This study is the first large-scale effort in China to establish RIs for metabolites in the apparently healthy population. We found that most of the sex-related metabolites, including amino acids, acyl-carnitines and triacylglycerols, had higher concentrations in males, while the other sex-related lipids showed higher concentrations in females. Most of the age-related metabolites increased with age, including those associated with protein synthesis, nitric oxide synthesis, energy metabolism, and lipid metabolism. Conclusions: This study gives the reference intervals of the healthy Chinese metabolome and lipidome and their relationship with sex and age, which facilitates life sciences and precision medicine, especially for disease research and biomarker discovery.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
A New, Validated GC-PICI-MS Method for the Quantification of 32 Lipid Fatty Acids via Base-Catalyzed Transmethylation and the Isotope-Coded Derivatization of Internal Standards
Vodrážka P., Řimnáčová L., Berková P., Vojtíšek J., Verner M., Moos M., Šimek P.
Background: Fatty acids (FAs) represent a ubiquitous class of nonpolar alkyl carboxylate metabolites with diverse biological functions. Nutrition, metabolism, and endogenous and exogenous stress influence the overall FA metabolic status and transport via the bloodstream. FAs esterified in lipids are of particular interest, as they represent promising biomarkers of pathological diseases and nutritional status. Methods: Here, we report a validated gas chromatographic-mass spectrometric (GC-MS) method for the quantitative analysis of 32 FAs exclusively bound in esterified lipids. The developed sample preparation protocol comprises three steps using only 5 µL of human serum for Folch extraction, sodium methoxide-catalyzed transesterification in tert-butyl methyl ether, and re-extraction in isooctane prior to a quantitative GC-MS analysis with positive ion chemical ionization (PICI) and selected ion monitoring (SIM). Results: The base-catalyzed transmethylation step was studied for 14 lipid classes and was found to be efficient under mild conditions for all major esterified lipids but not for free FAs, lipid amides, or sphingolipids. To minimize matrix effects and instrument bias, internal fatty acid trideuteromethyl esters (D3-FAME) standards were prepared through isotope-coded derivatization with D3-labeled methylchloroformate/methanol medium mixed with each transmethylated serum extract for the assay. The method was validated according to FDA guidelines and evaluated by analyzing NIST SRM 2378 Serum 1 and sera from three healthy donors. Conclusions: The measured quantitative FA values are consistent with the reference data of SRM 2378, and they demonstrate the application potential of the described method for general FA analysis in esterified lipids as a novel complementary tool for lipidomics, as well as for the analysis of membrane FAs in dry blood spots and red blood cells.
Q2
![MDPI](/storage/images/resized/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_large.webp)
Salicylic Acid Modulates Volatile Organic Compound Profiles During CEVd Infection in Tomato Plants
Balanzá M., Vázquez-Prol F., Rodrigo I., Bellés J.M., Vera-Sirera F., López-Gresa M.P., Lisón P.
Background:Citrus Exocortis Viroid (CEVd) is a non-coding RNA pathogen capable of infecting a wide range of plant species, despite its lack of protein-coding ability. Viroid infections induce significant alterations in various physiological and biochemical processes, particularly impacting plant metabolism. This study shows the metabolic changes upon viroid infection in tomato plants (Solanum lycopersicum var. ‘MoneyMaker’) exhibiting altered levels of salicylic acid (SA), a key signal molecule involved in the plant defence against this pathogen. Methods: Transgenic RNAi_S5H lines, which have the salicylic acid 5-hydroxylase gene silenced to promote SA accumulation, and NahG lines, which overexpress a salicylate hydroxylase to degrade SA into catechol and prevent its accumulation, were used to establish different SA levels in plants, resulting in varying degrees of resistance to viroid infection. The analysis was performed by using gas chromatography–mass spectrometry (GC-MS) to explore the role of volatile organic compounds (VOCs) in plant immunity against this pathogen. Results: Our results revealed distinct volatile profiles associated with plant immunity, where RNAi_S5H-resistant plants showed significantly enhanced production of monoterpenoids upon viroid infection. Moreover, viroid-susceptible NahG plants emitted a broad range of VOCs, whilst viroid-tolerant RNAi_S5H plants exhibited less variation in VOC emission. Conclusions: This study demonstrates that SA levels significantly influence metabolic responses and immunity in tomato plants infected by CEVd. The identification of differential emitted VOCs upon CEVd infection could allow the development of biomarkers for disease or strategies for disease control.
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|
Analytical Chemistry
21 citations, 0.75%
|
|
Heliyon
20 citations, 0.71%
|
|
Bioelectrochemistry
19 citations, 0.68%
|
|
International Journal of Biological Macromolecules
19 citations, 0.68%
|
|
ACS Applied Nano Materials
17 citations, 0.61%
|
|
Advanced Science
17 citations, 0.61%
|
|
Analytical and Bioanalytical Chemistry
17 citations, 0.61%
|
|
Journal of the Electrochemical Society
16 citations, 0.57%
|
|
Frontiers in Bioengineering and Biotechnology
14 citations, 0.5%
|
|
Scientific Reports
14 citations, 0.5%
|
|
Sensing and Bio-Sensing Research
14 citations, 0.5%
|
|
IEEE Access
14 citations, 0.5%
|
|
Advanced Materials Technologies
12 citations, 0.43%
|
|
Optics Express
12 citations, 0.43%
|
|
Nanomaterials
12 citations, 0.43%
|
|
Diagnostics
12 citations, 0.43%
|
|
Molecules
11 citations, 0.39%
|
|
Clinica Chimica Acta
10 citations, 0.36%
|
|
Journal of Lightwave Technology
10 citations, 0.36%
|
|
Food Control
10 citations, 0.36%
|
|
ACS Applied Bio Materials
10 citations, 0.36%
|
|
Biomicrofluidics
10 citations, 0.36%
|
|
Sensors and Actuators Reports
10 citations, 0.36%
|
|
ECS Sensors Plus
10 citations, 0.36%
|
|
Trends in Food Science and Technology
9 citations, 0.32%
|
|
Polymers
9 citations, 0.32%
|
|
International Journal of Molecular Sciences
9 citations, 0.32%
|
|
Nanotechnology
9 citations, 0.32%
|
|
Sensors and Actuators, A: Physical
9 citations, 0.32%
|
|
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
8 citations, 0.29%
|
|
Electroanalysis
8 citations, 0.29%
|
|
Foods
8 citations, 0.29%
|
|
International Journal of Electrochemical Science
8 citations, 0.29%
|
|
IEEE Sensors Letters
8 citations, 0.29%
|
|
Talanta Open
8 citations, 0.29%
|
|
Measurement: Journal of the International Measurement Confederation
7 citations, 0.25%
|
|
Science of the Total Environment
7 citations, 0.25%
|
|
Chemical Papers
7 citations, 0.25%
|
|
Comprehensive Analytical Chemistry
7 citations, 0.25%
|
|
ACS Nano
7 citations, 0.25%
|
|
Critical Reviews in Analytical Chemistry
7 citations, 0.25%
|
|
Applied Biochemistry and Microbiology
7 citations, 0.25%
|
|
Applied Surface Science
7 citations, 0.25%
|
|
Journal of Molecular Liquids
7 citations, 0.25%
|
|
Analytical Methods
7 citations, 0.25%
|
|
Electrochimica Acta
7 citations, 0.25%
|
|
Applied Sciences (Switzerland)
7 citations, 0.25%
|
|
Nanophotonics
7 citations, 0.25%
|
|
Langmuir
7 citations, 0.25%
|
|
Advanced healthcare materials
7 citations, 0.25%
|
|
Case Studies in Chemical and Environmental Engineering
7 citations, 0.25%
|
|
Journal of Environmental Chemical Engineering
6 citations, 0.21%
|
|
Environmental Research
6 citations, 0.21%
|
|
Optics and Laser Technology
6 citations, 0.21%
|
|
Chemical Reviews
6 citations, 0.21%
|
|
Optical and Quantum Electronics
6 citations, 0.21%
|
|
Journal of Energy Storage
6 citations, 0.21%
|
|
Journal of Electroanalytical Chemistry
6 citations, 0.21%
|
|
Nano Energy
6 citations, 0.21%
|
|
Energies
6 citations, 0.21%
|
|
Cell Reports Physical Science
6 citations, 0.21%
|
|
Handbook of Research on Diverse Applications of Nanotechnology in Biomedicine, Chemistry, and Engineering
6 citations, 0.21%
|
|
Surfaces and Interfaces
5 citations, 0.18%
|
|
Applied Optics
5 citations, 0.18%
|
|
Advanced Functional Materials
5 citations, 0.18%
|
|
Materials Chemistry and Physics
5 citations, 0.18%
|
|
Journal of Applied Electrochemistry
5 citations, 0.18%
|
|
Current Opinion in Electrochemistry
5 citations, 0.18%
|
|
Advances in Colloid and Interface Science
5 citations, 0.18%
|
|
Optical Fiber Technology
5 citations, 0.18%
|
|
Analytical Letters
5 citations, 0.18%
|
|
Journal of Photochemistry and Photobiology A: Chemistry
5 citations, 0.18%
|
|
Colloids and Surfaces A: Physicochemical and Engineering Aspects
5 citations, 0.18%
|
|
Chemosphere
5 citations, 0.18%
|
|
Drug Discovery Today
5 citations, 0.18%
|
|
AEJ - Alexandria Engineering Journal
5 citations, 0.18%
|
|
Advanced Materials
5 citations, 0.18%
|
|
Materials
5 citations, 0.18%
|
|
Chemical Physics Impact
5 citations, 0.18%
|
|
Discover Nano
5 citations, 0.18%
|
|
Optics Letters
4 citations, 0.14%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
80
90
100
|
Citing publishers
200
400
600
800
1000
1200
|
|
Elsevier
1079 citations, 38.51%
|
|
MDPI
364 citations, 12.99%
|
|
Springer Nature
257 citations, 9.17%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
210 citations, 7.49%
|
|
American Chemical Society (ACS)
208 citations, 7.42%
|
|
Wiley
187 citations, 6.67%
|
|
Taylor & Francis
57 citations, 2.03%
|
|
Frontiers Media S.A.
43 citations, 1.53%
|
|
IOP Publishing
43 citations, 1.53%
|
|
AIP Publishing
33 citations, 1.18%
|
|
The Electrochemical Society
32 citations, 1.14%
|
|
Optica Publishing Group
31 citations, 1.11%
|
|
Cold Spring Harbor Laboratory
25 citations, 0.89%
|
|
Royal Society of Chemistry (RSC)
24 citations, 0.86%
|
|
Walter de Gruyter
17 citations, 0.61%
|
|
Pleiades Publishing
17 citations, 0.61%
|
|
IGI Global
13 citations, 0.46%
|
|
Oxford University Press
7 citations, 0.25%
|
|
Bentham Science Publishers Ltd.
7 citations, 0.25%
|
|
SPIE-Intl Soc Optical Eng
6 citations, 0.21%
|
|
IntechOpen
6 citations, 0.21%
|
|
Hindawi Limited
5 citations, 0.18%
|
|
Cambridge University Press
4 citations, 0.14%
|
|
Public Library of Science (PLoS)
4 citations, 0.14%
|
|
Institute of Electrical Engineers of Japan (IEE Japan)
4 citations, 0.14%
|
|
SAGE
3 citations, 0.11%
|
|
Ovid Technologies (Wolters Kluwer Health)
3 citations, 0.11%
|
|
EDP Sciences
3 citations, 0.11%
|
|
Proceedings of the National Academy of Sciences (PNAS)
3 citations, 0.11%
|
|
American Association for the Advancement of Science (AAAS)
3 citations, 0.11%
|
|
Hacettepe University
3 citations, 0.11%
|
|
Association for Computing Machinery (ACM)
3 citations, 0.11%
|
|
American Physical Society (APS)
3 citations, 0.11%
|
|
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
3 citations, 0.11%
|
|
Emerald
2 citations, 0.07%
|
|
American Society for Microbiology
2 citations, 0.07%
|
|
King Saud University
2 citations, 0.07%
|
|
Japan Society for Analytical Chemistry
2 citations, 0.07%
|
|
Copernicus
2 citations, 0.07%
|
|
The Russian Academy of Sciences
2 citations, 0.07%
|
|
Social Science Electronic Publishing
2 citations, 0.07%
|
|
Central Research Institute for Epidemiology
2 citations, 0.07%
|
|
Baishideng Publishing Group
2 citations, 0.07%
|
|
Shanghai Institute of Organic Chemistry
2 citations, 0.07%
|
|
Research Square Platform LLC
2 citations, 0.07%
|
|
IMR Press
1 citation, 0.04%
|
|
World Scientific
1 citation, 0.04%
|
|
Institution of Engineering and Technology (IET)
1 citation, 0.04%
|
|
Georg Thieme Verlag KG
1 citation, 0.04%
|
|
American Physiological Society
1 citation, 0.04%
|
|
Mary Ann Liebert
1 citation, 0.04%
|
|
Ural Federal University
1 citation, 0.04%
|
|
Scientific Publishers
1 citation, 0.04%
|
|
American Scientific Publishers
1 citation, 0.04%
|
|
The Company of Biologists
1 citation, 0.04%
|
|
IWA Publishing
1 citation, 0.04%
|
|
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
1 citation, 0.04%
|
|
Chinese Ceramic Society
1 citation, 0.04%
|
|
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
1 citation, 0.04%
|
|
American Vacuum Society
1 citation, 0.04%
|
|
Optical Society of India
1 citation, 0.04%
|
|
Taiwan Institute of Chemical Engineers
1 citation, 0.04%
|
|
Bialystok University of Technology
1 citation, 0.04%
|
|
Beilstein-Institut
1 citation, 0.04%
|
|
Kemerovo State University
1 citation, 0.04%
|
|
Science in China Press
1 citation, 0.04%
|
|
Medknow
1 citation, 0.04%
|
|
Canadian Science Publishing
1 citation, 0.04%
|
|
The Korean Vacuum Society
1 citation, 0.04%
|
|
The Surface Finishing Society of Japan
1 citation, 0.04%
|
|
Center of Pharmaceutical Analytics Ltd
1 citation, 0.04%
|
|
OAE Publishing Inc.
1 citation, 0.04%
|
|
The Open Journal
1 citation, 0.04%
|
|
A and V Publications
1 citation, 0.04%
|
|
Japan Institute of Electronics Packaging
1 citation, 0.04%
|
|
Paediatrician Publishers LLC
1 citation, 0.04%
|
|
Tech Science Press
1 citation, 0.04%
|
|
Hans Publishers
1 citation, 0.04%
|
|
Pharmaceutical Society of Korea
1 citation, 0.04%
|
|
American Dairy Science Association
1 citation, 0.04%
|
|
Korean Society for Healthcare-associated Infection Control and Prevention
1 citation, 0.04%
|
|
Izmir Akademi Dernegi
1 citation, 0.04%
|
|
Show all (52 more) | |
200
400
600
800
1000
1200
|
Publishing organizations
2
4
6
8
10
12
|
|
University of Texas at Dallas
11 publications, 2.66%
|
|
Institute of Biochemistry and Physiology of Plants and Microorganisms SarSc of the Russian Academy of Sciences
7 publications, 1.69%
|
|
Indian Institute of Technology Bombay
6 publications, 1.45%
|
|
Vellore Institute of Technology University
5 publications, 1.21%
|
|
Gadjah Mada University
5 publications, 1.21%
|
|
Jawaharlal Nehru University
4 publications, 0.97%
|
|
Banaras Hindu University
4 publications, 0.97%
|
|
Bharathiar University
4 publications, 0.97%
|
|
Jamia Hamdard
4 publications, 0.97%
|
|
Fudan University
4 publications, 0.97%
|
|
Central Leather Research Institute
4 publications, 0.97%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
4 publications, 0.97%
|
|
University of Waterloo
4 publications, 0.97%
|
|
University of Coimbra
4 publications, 0.97%
|
|
University of Alberta
4 publications, 0.97%
|
|
Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences
3 publications, 0.72%
|
|
Sharif University of Technology
3 publications, 0.72%
|
|
Indian Institute of Technology Kharagpur
3 publications, 0.72%
|
|
Indian Institute of Technology Delhi
3 publications, 0.72%
|
|
National Institute of Pharmaceutical Education and Research, Hyderabad
3 publications, 0.72%
|
|
Zhejiang University
3 publications, 0.72%
|
|
Fuzhou University
3 publications, 0.72%
|
|
Imperial College London
3 publications, 0.72%
|
|
National Taiwan University
3 publications, 0.72%
|
|
Chinese University of Hong Kong
3 publications, 0.72%
|
|
Rajshahi University of Engineering and Technology
3 publications, 0.72%
|
|
University College Cork (National University of Ireland, Cork)
3 publications, 0.72%
|
|
Saratov State University
2 publications, 0.48%
|
|
King Abdullah University of Science and Technology
2 publications, 0.48%
|
|
Alfaisal University
2 publications, 0.48%
|
|
Hacettepe University
2 publications, 0.48%
|
|
University of Tehran
2 publications, 0.48%
|
|
Middle East Technical University
2 publications, 0.48%
|
|
University of Delhi
2 publications, 0.48%
|
|
Panjab University
2 publications, 0.48%
|
|
Gazi University
2 publications, 0.48%
|
|
Izmir Institute of Technology
2 publications, 0.48%
|
|
Jamia Millia Islamia
2 publications, 0.48%
|
|
Chemistry and Chemical Engineering Research Center of Iran
2 publications, 0.48%
|
|
Tezpur University
2 publications, 0.48%
|
|
North East Institute of Science and Technology
2 publications, 0.48%
|
|
Manipal Academy of Higher Education
2 publications, 0.48%
|
|
Uppsala University
2 publications, 0.48%
|
|
École Polytechnique Fédérale de Lausanne
2 publications, 0.48%
|
|
KTH Royal Institute of Technology
2 publications, 0.48%
|
|
Advanced Materials and Processes Research Institute
2 publications, 0.48%
|
|
Grenoble Alpes University
2 publications, 0.48%
|
|
Nanjing Medical University
2 publications, 0.48%
|
|
Nanjing University
2 publications, 0.48%
|
|
National Defence University of Malaysia
2 publications, 0.48%
|
|
Chongqing University
2 publications, 0.48%
|
|
Technische Universität Dresden
2 publications, 0.48%
|
|
University of Naples Federico II
2 publications, 0.48%
|
|
China Agricultural University
2 publications, 0.48%
|
|
Capital Medical University
2 publications, 0.48%
|
|
Tianjin University
2 publications, 0.48%
|
|
University of Southern Denmark
2 publications, 0.48%
|
|
National Taipei University of Technology
2 publications, 0.48%
|
|
Regina Elena National Cancer Institute
2 publications, 0.48%
|
|
Royal Melbourne Institute of Technology
2 publications, 0.48%
|
|
Durban University of Technology
2 publications, 0.48%
|
|
Korea Advanced Institute of Science and Technology
2 publications, 0.48%
|
|
Korea Institute of Toxicology
2 publications, 0.48%
|
|
Kumoh National Institute of Technology
2 publications, 0.48%
|
|
Tohoku University
2 publications, 0.48%
|
|
Public University of Navarre
2 publications, 0.48%
|
|
University of the West of England
2 publications, 0.48%
|
|
University of Rajshahi
2 publications, 0.48%
|
|
McGill University
2 publications, 0.48%
|
|
University of Erlangen–Nuremberg
2 publications, 0.48%
|
|
Hokkaido University
2 publications, 0.48%
|
|
Purdue University
2 publications, 0.48%
|
|
University of Potsdam
2 publications, 0.48%
|
|
Austrian Institute of Technology
2 publications, 0.48%
|
|
University of Wisconsin–Madison
2 publications, 0.48%
|
|
Universidade Estadual de Campinas
2 publications, 0.48%
|
|
Universidad Complutense de Madrid
2 publications, 0.48%
|
|
Florida International University
2 publications, 0.48%
|
|
University of Navarra
2 publications, 0.48%
|
|
University of Oviedo
2 publications, 0.48%
|
|
University of Cincinnati
2 publications, 0.48%
|
|
Texas A&M University
2 publications, 0.48%
|
|
University of Connecticut
2 publications, 0.48%
|
|
National Research Council Canada
2 publications, 0.48%
|
|
![]() Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences
1 publication, 0.24%
|
|
Moscow Institute of Physics and Technology
1 publication, 0.24%
|
|
Southern Federal University
1 publication, 0.24%
|
|
V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences
1 publication, 0.24%
|
|
National Research Centre "Kurchatov Institute"
1 publication, 0.24%
|
|
D. I. Ivanovsky Institute of Virology
1 publication, 0.24%
|
|
Saratov State Agrarian University
1 publication, 0.24%
|
|
Russian Biotechnological University
1 publication, 0.24%
|
|
King Abdulaziz University
1 publication, 0.24%
|
|
King Fahd University of Petroleum and Minerals
1 publication, 0.24%
|
|
King Faisal University
1 publication, 0.24%
|
|
Ankara University
1 publication, 0.24%
|
|
King Abdulaziz City for Science and Technology
1 publication, 0.24%
|
|
King Faisal Specialist Hospital & Research Centre
1 publication, 0.24%
|
|
Tehran University of Medical Sciences
1 publication, 0.24%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
1 publication, 0.24%
|
|
Show all (70 more) | |
2
4
6
8
10
12
|
Publishing organizations in 5 years
2
4
6
8
10
12
|
|
University of Texas at Dallas
11 publications, 2.73%
|
|
Institute of Biochemistry and Physiology of Plants and Microorganisms SarSc of the Russian Academy of Sciences
7 publications, 1.74%
|
|
Indian Institute of Technology Bombay
6 publications, 1.49%
|
|
Vellore Institute of Technology University
5 publications, 1.24%
|
|
Gadjah Mada University
5 publications, 1.24%
|
|
Jawaharlal Nehru University
4 publications, 0.99%
|
|
Banaras Hindu University
4 publications, 0.99%
|
|
Bharathiar University
4 publications, 0.99%
|
|
Jamia Hamdard
4 publications, 0.99%
|
|
Fudan University
4 publications, 0.99%
|
|
Central Leather Research Institute
4 publications, 0.99%
|
|
Istituti di Ricovero e Cura a Carattere Scientifico
4 publications, 0.99%
|
|
University of Waterloo
4 publications, 0.99%
|
|
University of Coimbra
4 publications, 0.99%
|
|
University of Alberta
4 publications, 0.99%
|
|
Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences
3 publications, 0.74%
|
|
Sharif University of Technology
3 publications, 0.74%
|
|
Indian Institute of Technology Kharagpur
3 publications, 0.74%
|
|
Indian Institute of Technology Delhi
3 publications, 0.74%
|
|
National Institute of Pharmaceutical Education and Research, Hyderabad
3 publications, 0.74%
|
|
Zhejiang University
3 publications, 0.74%
|
|
Fuzhou University
3 publications, 0.74%
|
|
Imperial College London
3 publications, 0.74%
|
|
National Taiwan University
3 publications, 0.74%
|
|
Rajshahi University of Engineering and Technology
3 publications, 0.74%
|
|
University College Cork (National University of Ireland, Cork)
3 publications, 0.74%
|
|
Saratov State University
2 publications, 0.5%
|
|
King Abdullah University of Science and Technology
2 publications, 0.5%
|
|
Alfaisal University
2 publications, 0.5%
|
|
Hacettepe University
2 publications, 0.5%
|
|
University of Tehran
2 publications, 0.5%
|
|
Middle East Technical University
2 publications, 0.5%
|
|
University of Delhi
2 publications, 0.5%
|
|
Panjab University
2 publications, 0.5%
|
|
Gazi University
2 publications, 0.5%
|
|
Izmir Institute of Technology
2 publications, 0.5%
|
|
Jamia Millia Islamia
2 publications, 0.5%
|
|
Chemistry and Chemical Engineering Research Center of Iran
2 publications, 0.5%
|
|
Tezpur University
2 publications, 0.5%
|
|
North East Institute of Science and Technology
2 publications, 0.5%
|
|
Manipal Academy of Higher Education
2 publications, 0.5%
|
|
Uppsala University
2 publications, 0.5%
|
|
École Polytechnique Fédérale de Lausanne
2 publications, 0.5%
|
|
KTH Royal Institute of Technology
2 publications, 0.5%
|
|
Advanced Materials and Processes Research Institute
2 publications, 0.5%
|
|
Grenoble Alpes University
2 publications, 0.5%
|
|
Nanjing Medical University
2 publications, 0.5%
|
|
Nanjing University
2 publications, 0.5%
|
|
National Defence University of Malaysia
2 publications, 0.5%
|
|
Chongqing University
2 publications, 0.5%
|
|
Technische Universität Dresden
2 publications, 0.5%
|
|
University of Naples Federico II
2 publications, 0.5%
|
|
China Agricultural University
2 publications, 0.5%
|
|
Capital Medical University
2 publications, 0.5%
|
|
Tianjin University
2 publications, 0.5%
|
|
University of Southern Denmark
2 publications, 0.5%
|
|
National Taipei University of Technology
2 publications, 0.5%
|
|
Regina Elena National Cancer Institute
2 publications, 0.5%
|
|
Royal Melbourne Institute of Technology
2 publications, 0.5%
|
|
Durban University of Technology
2 publications, 0.5%
|
|
Korea Advanced Institute of Science and Technology
2 publications, 0.5%
|
|
Chinese University of Hong Kong
2 publications, 0.5%
|
|
Korea Institute of Toxicology
2 publications, 0.5%
|
|
Kumoh National Institute of Technology
2 publications, 0.5%
|
|
Tohoku University
2 publications, 0.5%
|
|
University of the West of England
2 publications, 0.5%
|
|
University of Rajshahi
2 publications, 0.5%
|
|
McGill University
2 publications, 0.5%
|
|
University of Erlangen–Nuremberg
2 publications, 0.5%
|
|
Hokkaido University
2 publications, 0.5%
|
|
Purdue University
2 publications, 0.5%
|
|
University of Potsdam
2 publications, 0.5%
|
|
Austrian Institute of Technology
2 publications, 0.5%
|
|
University of Wisconsin–Madison
2 publications, 0.5%
|
|
Universidade Estadual de Campinas
2 publications, 0.5%
|
|
Universidad Complutense de Madrid
2 publications, 0.5%
|
|
Florida International University
2 publications, 0.5%
|
|
University of Oviedo
2 publications, 0.5%
|
|
University of Cincinnati
2 publications, 0.5%
|
|
Texas A&M University
2 publications, 0.5%
|
|
National Research Council Canada
2 publications, 0.5%
|
|
![]() Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences
1 publication, 0.25%
|
|
Moscow Institute of Physics and Technology
1 publication, 0.25%
|
|
Southern Federal University
1 publication, 0.25%
|
|
V. M. Gorbatov Federal Research Center for Food Systems of Russian Academy of Sciences
1 publication, 0.25%
|
|
National Research Centre "Kurchatov Institute"
1 publication, 0.25%
|
|
D. I. Ivanovsky Institute of Virology
1 publication, 0.25%
|
|
Saratov State Agrarian University
1 publication, 0.25%
|
|
Russian Biotechnological University
1 publication, 0.25%
|
|
King Abdulaziz University
1 publication, 0.25%
|
|
King Fahd University of Petroleum and Minerals
1 publication, 0.25%
|
|
King Faisal University
1 publication, 0.25%
|
|
Ankara University
1 publication, 0.25%
|
|
King Abdulaziz City for Science and Technology
1 publication, 0.25%
|
|
King Faisal Specialist Hospital & Research Centre
1 publication, 0.25%
|
|
Tehran University of Medical Sciences
1 publication, 0.25%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
1 publication, 0.25%
|
|
Tarbiat Modares University
1 publication, 0.25%
|
|
Tabriz University of Medical Sciences
1 publication, 0.25%
|
|
Khalifa University
1 publication, 0.25%
|
|
Show all (70 more) | |
2
4
6
8
10
12
|
Publishing countries
10
20
30
40
50
60
70
|
|
India
|
India, 65, 15.7%
India
65 publications, 15.7%
|
China
|
China, 57, 13.77%
China
57 publications, 13.77%
|
USA
|
USA, 41, 9.9%
USA
41 publications, 9.9%
|
Germany
|
Germany, 15, 3.62%
Germany
15 publications, 3.62%
|
Spain
|
Spain, 14, 3.38%
Spain
14 publications, 3.38%
|
Italy
|
Italy, 12, 2.9%
Italy
12 publications, 2.9%
|
Canada
|
Canada, 12, 2.9%
Canada
12 publications, 2.9%
|
Republic of Korea
|
Republic of Korea, 11, 2.66%
Republic of Korea
11 publications, 2.66%
|
United Kingdom
|
United Kingdom, 10, 2.42%
United Kingdom
10 publications, 2.42%
|
Russia
|
Russia, 9, 2.17%
Russia
9 publications, 2.17%
|
Japan
|
Japan, 9, 2.17%
Japan
9 publications, 2.17%
|
Turkey
|
Turkey, 8, 1.93%
Turkey
8 publications, 1.93%
|
Indonesia
|
Indonesia, 7, 1.69%
Indonesia
7 publications, 1.69%
|
Iran
|
Iran, 7, 1.69%
Iran
7 publications, 1.69%
|
Saudi Arabia
|
Saudi Arabia, 7, 1.69%
Saudi Arabia
7 publications, 1.69%
|
Australia
|
Australia, 6, 1.45%
Australia
6 publications, 1.45%
|
Sweden
|
Sweden, 6, 1.45%
Sweden
6 publications, 1.45%
|
France
|
France, 5, 1.21%
France
5 publications, 1.21%
|
Portugal
|
Portugal, 5, 1.21%
Portugal
5 publications, 1.21%
|
Bangladesh
|
Bangladesh, 5, 1.21%
Bangladesh
5 publications, 1.21%
|
Brazil
|
Brazil, 5, 1.21%
Brazil
5 publications, 1.21%
|
Malaysia
|
Malaysia, 5, 1.21%
Malaysia
5 publications, 1.21%
|
Ireland
|
Ireland, 4, 0.97%
Ireland
4 publications, 0.97%
|
UAE
|
UAE, 4, 0.97%
UAE
4 publications, 0.97%
|
Austria
|
Austria, 3, 0.72%
Austria
3 publications, 0.72%
|
Denmark
|
Denmark, 3, 0.72%
Denmark
3 publications, 0.72%
|
Pakistan
|
Pakistan, 3, 0.72%
Pakistan
3 publications, 0.72%
|
Switzerland
|
Switzerland, 3, 0.72%
Switzerland
3 publications, 0.72%
|
Belgium
|
Belgium, 2, 0.48%
Belgium
2 publications, 0.48%
|
Egypt
|
Egypt, 2, 0.48%
Egypt
2 publications, 0.48%
|
Mexico
|
Mexico, 2, 0.48%
Mexico
2 publications, 0.48%
|
Netherlands
|
Netherlands, 2, 0.48%
Netherlands
2 publications, 0.48%
|
New Zealand
|
New Zealand, 2, 0.48%
New Zealand
2 publications, 0.48%
|
Singapore
|
Singapore, 2, 0.48%
Singapore
2 publications, 0.48%
|
South Africa
|
South Africa, 2, 0.48%
South Africa
2 publications, 0.48%
|
Ukraine
|
Ukraine, 1, 0.24%
Ukraine
1 publication, 0.24%
|
Argentina
|
Argentina, 1, 0.24%
Argentina
1 publication, 0.24%
|
Vietnam
|
Vietnam, 1, 0.24%
Vietnam
1 publication, 0.24%
|
Greece
|
Greece, 1, 0.24%
Greece
1 publication, 0.24%
|
Israel
|
Israel, 1, 0.24%
Israel
1 publication, 0.24%
|
Qatar
|
Qatar, 1, 0.24%
Qatar
1 publication, 0.24%
|
Kenya
|
Kenya, 1, 0.24%
Kenya
1 publication, 0.24%
|
Colombia
|
Colombia, 1, 0.24%
Colombia
1 publication, 0.24%
|
Lebanon
|
Lebanon, 1, 0.24%
Lebanon
1 publication, 0.24%
|
Poland
|
Poland, 1, 0.24%
Poland
1 publication, 0.24%
|
Slovakia
|
Slovakia, 1, 0.24%
Slovakia
1 publication, 0.24%
|
Thailand
|
Thailand, 1, 0.24%
Thailand
1 publication, 0.24%
|
Tunisia
|
Tunisia, 1, 0.24%
Tunisia
1 publication, 0.24%
|
Croatia
|
Croatia, 1, 0.24%
Croatia
1 publication, 0.24%
|
Czech Republic
|
Czech Republic, 1, 0.24%
Czech Republic
1 publication, 0.24%
|
Ecuador
|
Ecuador, 1, 0.24%
Ecuador
1 publication, 0.24%
|
Show all (21 more) | |
10
20
30
40
50
60
70
|
Publishing countries in 5 years
10
20
30
40
50
60
70
|
|
India
|
India, 65, 16.13%
India
65 publications, 16.13%
|
China
|
China, 55, 13.65%
China
55 publications, 13.65%
|
USA
|
USA, 40, 9.93%
USA
40 publications, 9.93%
|
Germany
|
Germany, 15, 3.72%
Germany
15 publications, 3.72%
|
Canada
|
Canada, 12, 2.98%
Canada
12 publications, 2.98%
|
Italy
|
Italy, 11, 2.73%
Italy
11 publications, 2.73%
|
Republic of Korea
|
Republic of Korea, 11, 2.73%
Republic of Korea
11 publications, 2.73%
|
Spain
|
Spain, 10, 2.48%
Spain
10 publications, 2.48%
|
Russia
|
Russia, 9, 2.23%
Russia
9 publications, 2.23%
|
United Kingdom
|
United Kingdom, 9, 2.23%
United Kingdom
9 publications, 2.23%
|
Japan
|
Japan, 9, 2.23%
Japan
9 publications, 2.23%
|
Turkey
|
Turkey, 8, 1.99%
Turkey
8 publications, 1.99%
|
Indonesia
|
Indonesia, 7, 1.74%
Indonesia
7 publications, 1.74%
|
Iran
|
Iran, 7, 1.74%
Iran
7 publications, 1.74%
|
Saudi Arabia
|
Saudi Arabia, 7, 1.74%
Saudi Arabia
7 publications, 1.74%
|
Australia
|
Australia, 6, 1.49%
Australia
6 publications, 1.49%
|
Sweden
|
Sweden, 6, 1.49%
Sweden
6 publications, 1.49%
|
France
|
France, 5, 1.24%
France
5 publications, 1.24%
|
Portugal
|
Portugal, 5, 1.24%
Portugal
5 publications, 1.24%
|
Bangladesh
|
Bangladesh, 5, 1.24%
Bangladesh
5 publications, 1.24%
|
Brazil
|
Brazil, 5, 1.24%
Brazil
5 publications, 1.24%
|
Malaysia
|
Malaysia, 5, 1.24%
Malaysia
5 publications, 1.24%
|
Ireland
|
Ireland, 4, 0.99%
Ireland
4 publications, 0.99%
|
Austria
|
Austria, 3, 0.74%
Austria
3 publications, 0.74%
|
Denmark
|
Denmark, 3, 0.74%
Denmark
3 publications, 0.74%
|
UAE
|
UAE, 3, 0.74%
UAE
3 publications, 0.74%
|
Pakistan
|
Pakistan, 3, 0.74%
Pakistan
3 publications, 0.74%
|
Switzerland
|
Switzerland, 3, 0.74%
Switzerland
3 publications, 0.74%
|
Belgium
|
Belgium, 2, 0.5%
Belgium
2 publications, 0.5%
|
Mexico
|
Mexico, 2, 0.5%
Mexico
2 publications, 0.5%
|
Netherlands
|
Netherlands, 2, 0.5%
Netherlands
2 publications, 0.5%
|
New Zealand
|
New Zealand, 2, 0.5%
New Zealand
2 publications, 0.5%
|
Singapore
|
Singapore, 2, 0.5%
Singapore
2 publications, 0.5%
|
South Africa
|
South Africa, 2, 0.5%
South Africa
2 publications, 0.5%
|
Ukraine
|
Ukraine, 1, 0.25%
Ukraine
1 publication, 0.25%
|
Argentina
|
Argentina, 1, 0.25%
Argentina
1 publication, 0.25%
|
Vietnam
|
Vietnam, 1, 0.25%
Vietnam
1 publication, 0.25%
|
Greece
|
Greece, 1, 0.25%
Greece
1 publication, 0.25%
|
Egypt
|
Egypt, 1, 0.25%
Egypt
1 publication, 0.25%
|
Israel
|
Israel, 1, 0.25%
Israel
1 publication, 0.25%
|
Kenya
|
Kenya, 1, 0.25%
Kenya
1 publication, 0.25%
|
Colombia
|
Colombia, 1, 0.25%
Colombia
1 publication, 0.25%
|
Lebanon
|
Lebanon, 1, 0.25%
Lebanon
1 publication, 0.25%
|
Poland
|
Poland, 1, 0.25%
Poland
1 publication, 0.25%
|
Slovakia
|
Slovakia, 1, 0.25%
Slovakia
1 publication, 0.25%
|
Thailand
|
Thailand, 1, 0.25%
Thailand
1 publication, 0.25%
|
Tunisia
|
Tunisia, 1, 0.25%
Tunisia
1 publication, 0.25%
|
Croatia
|
Croatia, 1, 0.25%
Croatia
1 publication, 0.25%
|
Czech Republic
|
Czech Republic, 1, 0.25%
Czech Republic
1 publication, 0.25%
|
Ecuador
|
Ecuador, 1, 0.25%
Ecuador
1 publication, 0.25%
|
Show all (20 more) | |
10
20
30
40
50
60
70
|
1 profile journal article
Smirnov Andrey
PhD in Physics and Mathematics
![Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences](/storage/images/resized/0J62hn8Pz52ZNLKw1zXn4HAGmZo0lBC9eOEFVqOC_small_thumb.webp)
Kotelnikov Institute of Radioengineering and Electronics of the Russian Academy of Sciences
56 publications,
372 citations
h-index: 11
1 profile journal article
Krivoshapkina Elena
DSc in Chemistry
![ITMO University](/storage/images/resized/N5bsYsxVpNbN2aPJaKTtUhebvxCTCYf4AWTJcYJ0_small_thumb.webp)
ITMO University
91 publications,
1 561 citations
h-index: 22
1 profile journal article
Sengupta Joydip
🥼 🤝![University of Calcutta](/storage/images/resized/dx2U73GuGhDrm4FWMj1VEPYry9bvOx92M6bV8uC6_small_thumb.webp)
University of Calcutta
58 publications,
861 citations
h-index: 16
1 profile journal article
Nazarova Elena
PhD in Chemistry
![ITMO University](/storage/images/resized/N5bsYsxVpNbN2aPJaKTtUhebvxCTCYf4AWTJcYJ0_small_thumb.webp)
ITMO University
9 publications,
199 citations
h-index: 5
Research interests
Biosensors
Enzyme immobilization
Food industry
1 profile journal article
Bazhenov Sergey
![Moscow Institute of Physics and Technology](/storage/images/resized/3EK9xVAuufiiSo3DJo3Ts3t1uhLnt9ZqPWb6nN4m_small_thumb.webp)
Moscow Institute of Physics and Technology
29 publications,
252 citations
h-index: 10
1 profile journal article
Scheglova Ekaterina
5 publications,
41 citations
h-index: 4