Canellas, Natalia O A’s team published research in Chemical and Biological Technologies in Agriculture in 2019-12-31 | 87-73-0

Chemical and Biological Technologies in Agriculture published new progress about Amino acids Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Category: alcohols-buliding-blocks.

Canellas, Natalia O. A.; Olivares, Fabio L.; Canellas, Luciano P. published the artcile< Metabolite fingerprints of maize and sugarcane seedlings: searching for markers after inoculation with plant growth-promoting bacteria in humic acids>, Category: alcohols-buliding-blocks, the main research area is metabolite fingerprint biostimulant seedling Zea Saccharum.

Background: The neg. consequences of industrial agriculture greatly affect human health and the environment. Debating our dietary requirements and challenging the means of food production are necessary. In the first years of transitioning to agroecol. production, crop yields normally decrease. Humic acids and beneficial bacteria used as plant growth promoters can be helpful during this stressful time. Metabolite target identification will aid in increasing plant responses to these agents. Materials: We evaluated the metabolite fingerprints of maize and sugarcane seedlings after 5 days of treatment with like-humic acids isolated from vermicompost coupled with a combined Herbaspirillum seropedicae and Gluconacetobacter diazotrophicus application. The hydromethanolic foliar extracts were submitted for 1H NMR anal., and the data were explored using chemometrics procedures. After the preliminary screening, the extracts were analyzed by gas chromatog. coupled to time of flight mass spectrometry to identify metabolite targets. Results: The biostimulant significantly changed the metabolic fingerprints independent of the plant species. The main proton spectral regions changed by biostimulant use were from 0 to 2.5 ppm and 3.5 to 5 ppm, as revealed by a principal component anal. The main signals corresponded to amino acid, sugar and organic acid chem. shifts. Aspartic acid was the amino acid present in greatest amounts in both leaf extracts A significant change occurred in the region normally attributed to (CHn)-protons bound to electron-withdrawing groups, such as carboxyls from mucic, ribonic and saccharic acids derived from sugars and aromatic structures from shikimic acid, 4-hydroxybenzoate and 3,4-dihydroxycinnamic acid. The main organic acids altered by the biostimulant were representatives of the tricarboxylic acid cycle (citric, isocitric, aconitic, malic and fumaric acids). Linoleic and myristic acids, 1-mono palmitin and tocopherol were the major lipid components found at greater levels in the treated leaf extracts Compounds from the oxidative end products of ascorbic acid metabolism, like threonic, isothreonic and oxalic acids, are putative biomarkers of the biostimulant as are the cyclic polyol identified as quinic acid and trehalose, a disaccharide involved in plant stress responses. Conclusion: The biostimulant induced significant changes in the metabolite fingerprints of maize and sugarcane seedlings as revealed by NMR. Both primary and secondary metabolisms were affected, and 22 putative biomarkers associated with the biostimulant-treated plant phenotype were identified. This agrees with previous work indicating that the stimulation of primary and secondary metabolisms was partially responsible for biostimulant effects on non-leguminous plants. Moreover, these metabolite targets could be used to genetically manipulate metabolic pathways to aid Poaceae breeding programs in increasing biostimulative responses.

Chemical and Biological Technologies in Agriculture published new progress about Amino acids Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Category: alcohols-buliding-blocks.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Brigante, Federico I’s team published research in Food Control in 2022-10-31 | 87-73-0

Food Control published new progress about Bakery products. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Brigante, Federico I.; Lucini Mas, Agustin; Erban, Alexander; Fehrle, Ines; Martinez-Seidel, Federico; Kopka, Joachim; Wunderlin, Daniel A.; Baroni, Maria V. published the artcile< Authenticity assessment of commercial bakery products with chia, flax and sesame seeds: Application of targeted and untargeted metabolomics results from seeds and lab-scale cookies>, Application In Synthesis of 87-73-0, the main research area is bakery products chia flax sesame seeds metabolomics cookies.

Usually the investigations in food authenticity focus on the discovery of new markers in laboratory-made products. However, tests in com. products are indispensable yet rarely performed. This work presents the application of the discovered markers of chia, flax and sesame seeds in two previous studies carried out by HPLC-MS/MS and GC-MS. A set of com. bakery products was analyzed by the same workflows to assess their authenticity regarding the declaration of the seeds in the ingredients list and the package. Presence or absence of the seeds was determined by evaluation of the corresponding markers in the products. All the bakery products passed the evaluation process and were declared as authentic by both anal. techniques. Markers coming from both techniques for each of the seeds were complementary since using them as groups represents a major advantage when studying food adulteration.

Food Control published new progress about Bakery products. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Chen, Lu-Zhou’s team published research in Biotechnology for Biofuels in 2020-12-31 | 87-73-0

Biotechnology for Biofuels published new progress about Biocatalysis. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Synthetic Route of 87-73-0.

Chen, Lu-Zhou; Huang, Si-Ling; Hou, Jin; Guo, Xue-Ping; Wang, Feng-Shan; Sheng, Ju-Zheng published the artcile< Cell-based and cell-free biocatalysis for the production of D-glucaric acid>, Synthetic Route of 87-73-0, the main research area is review Escherichia coli yeast glucaric acid biosensor enzyme catalysis; Biosensor; Cell-free synthetic biology; D-Glucaric acid; Escherichia coli; Metabolic engineering; Yeast.

A review. D-Glucaric acid (GA) is a value-added chem. produced from biomass, and has potential applications as a versatile platform chem., food additive, metal sequestering agent, and therapeutic agent. Marketed GA is currently produced chem., but increasing demand is driving the search for eco-friendlier and more efficient production approaches. Cell-based production of GA represents an alternative strategy for GA production A series of synthetic pathways for GA have been ported into Escherichia coli, Saccharomyces cerevisiae and Pichia pastoris, resp., and these engineered cells show the ability to synthesize GA de novo. Optimization of the GA metabolic pathways in host cells has leapt forward, and the titer and yield have increased rapidly. Meanwhile, cell-free multi-enzyme catalysis, in which the desired pathway is constructed in vitro from enzymes and cofactors involved in GA biosynthesis, has also realized efficient GA bioconversion. This review presents an overview of studies of the development of cell-based GA production, followed by a brief discussion of potential applications of biosensors that respond to GA in these biosynthesis routes.

Biotechnology for Biofuels published new progress about Biocatalysis. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Synthetic Route of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Arab, Leila’s team published research in Trees (Heidelberg, Germany) in 2022-04-30 | 87-73-0

Trees (Heidelberg, Germany) published new progress about Acidic carbohydrates Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Arab, Leila; Seegmueller, Stefan; Kreuzwieser, Juergen; Eiblmeier, Monika; Dannenmann, Michael; Rennenberg, Heinz published the artcile< Significance of current weather conditions for foliar traits of old-growth sessile oak (Quercus petraea Liebl) trees>, Application In Synthesis of 87-73-0, the main research area is Quercus growth foliar traits weather.

Sessile oak leaves showed a high degree of plasticity to atm. and pedospheric conditions. The aim of the present study was to elucidate the significance of current weather conditions for foliar traits of adult sessile oak (Quercus petraea), one of the most valuable forest tree species in Central Europe. For this purpose, structural and functional traits were analyzed in fully expanded, sun exposed leaves collected in south-west Germany from five old-growth forest stands, representing the meteorol. and pedospheric conditions in the growing region, but differing in aridity during the 12 days before harvest in two consecutive years. Across the forest stands, most foliar traits differed significantly between wet and dry weather conditions before harvest as indicated by partial least square discriminant anal. (PLS-DA). These traits included fresh weight/dry weight ratio, leaf hydration, leaf-C content, leaf-C/N ratio, structural N, soluble protein-N, total amino acid-N, cell wall composition, numerous specific amino acids as well as soluble sugar content. Structural biomass, δ13C signature, total N and total C as well as H2O2 contents were not affected by the weather before harvest. These results indicate a high plasticity of the foliar metabolism of drought-tolerant sessile oak to current weather conditions. They also suggest that sessile oak is characterized by a high potential to cope with the growth conditions expected as a consequence of future climate change.

Trees (Heidelberg, Germany) published new progress about Acidic carbohydrates Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Guo, Kun’s team published research in Ecotoxicology and Environmental Safety in 2022-02-28 | 87-73-0

Ecotoxicology and Environmental Safety published new progress about Desiccation. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Recommanded Product: D-Glucosaccharic acid.

Guo, Kun; Zhao, Zhigang; Luo, Liang; Wang, Shihui; Zhang, Rui; Xu, Wei; Qiao, Guo published the artcile< Untargeted GC-MS metabolomics reveals the metabolic responses in the gills of Chinese mitten crab (Eriocheir sinensis) subjected to air-exposure stress>, Recommanded Product: D-Glucosaccharic acid, the main research area is metabolome air exposure stress gas chromatog mass spectrometry Eriocheir; Air-exposure stress; Eriocheir sinensis; Gill; Metabolic pathway; Metabolomics.

Desiccation is a common stress experienced by crabs during aquaculture and transportation. In China, the crustacean, Chinese mitten crab (Eriocheir sinensis), is economically important. However, little is known about the mol. pathways underlying physiol. stress. Here, by using untargeted gas chromatog.-mass spectrometry metabolomics, we investigated the metabolic responses of the gills of E. sinensis subjected to air-exposure stress by six biol. replicates of the control group (CG) and the air-exposure stress group (AG). Metabolomic anal. identified 43 differential metabolites in the AG vs. the CG that could be potential biomarkers of desiccation stress. In addition, integrated anal. of key metabolic pathways revealed the involvement of histidine metabolism; glycine, serine and threonine metabolism; the pentose phosphate pathway; the citrate cycle (TCA cycle); and nicotinate and nicotinamide metabolism These findings indicated the special physiol. responses to air-exposure stresses in this species.

Ecotoxicology and Environmental Safety published new progress about Desiccation. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Recommanded Product: D-Glucosaccharic acid.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Biswas, Manik Chandra’s team published research in Carbohydrate Polymers in 2020-10-01 | 87-73-0

Carbohydrate Polymers published new progress about Acetate fibers Role: PEP (Physical, Engineering or Chemical Process), POF (Polymer in Formulation), PRP (Properties), PROC (Process), USES (Uses). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Biswas, Manik Chandra; Bush, Bailey; Ford, Ericka published the artcile< Glucaric acid additives for the antiplasticization of fibers wet spun from cellulose acetate/acetic acid/water>, Application In Synthesis of 87-73-0, the main research area is cellulose acetate fiber glucaric acid spinning antiplasticization mech property; Antiplasticizer; Bio-based derivatives; Cellulose acetate; Glucarate salt; Glucaric acid; Spectroscopy; Strengthening; Structure-property relationship.

Cellulose acetate (CA) receives notable attention as an environmentally friendly, biodegradable polymer from renewable, low-cost resources. CA polymers are believed to have a critical role in shaping a greener and more circular textile economy. However, the mech. properties of CA fibers are among the lowest in terms of its tensile strength, poor wet strength, and low flexural strength. This study investigates the effect of biobased additives for antiplasticizing the mech. performance and structure of CA fibers. At up to 5% of CA, glucaric acid (GA) and its monoammonium salt were added to CA fibers. With 1.5% GA additive, tensile modulus improved by 155%, tensile strength by 55%, and CA flexibility according to knot to straight fiber tenacity ratios improved by 107% when compared to neat CA fibers. Based on the results, green small mol. antiplasticizers do exist, but their performance improvements are observed at low percentages of loading.

Carbohydrate Polymers published new progress about Acetate fibers Role: PEP (Physical, Engineering or Chemical Process), POF (Polymer in Formulation), PRP (Properties), PROC (Process), USES (Uses). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Wang, Xiaolei’s team published research in International Journal of Systematic and Evolutionary Microbiology in 2020 | 87-73-0

International Journal of Systematic and Evolutionary Microbiology published new progress about 16S rRNA Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Wang, Xiaolei; Guo, Feng; Tian, Peng; Yu, Shuangen; Xue, Chun-Xu; Wang, Wei; Xiao, Jiaguang; Niu, Wentao published the artcile< Flammeovirga agarivorans sp. nov., an agar-digesting marine bacterium isolated from surface seawater>, Electric Literature of 87-73-0, the main research area is Flammeovirga agarivorans agar digesting marine bacterium surface seawater; Flammeovirga agarivorans sp. nov.; Luhuitou fringing reef; surface seawater.

A Gram-stain-neg., aerobic, gliding, reddish-orange-colored, rod-shaped strain, designated SR4T, was isolated from surface seawater sampled at Luhuitou fringing reef (South China Sea). Phylogenetic analyses based on the 16S rRNA gene, phylogenomic anal. of single-copy gene families and whole genome data affiliated it to the genus Flammeovirga. It was most closely related to Flammeovirga yaeyamensis NBRC 100898T (97.99% 16S rRNA gene similarity). The genome average nucleotide identity and DNA-DNA relatedness values between strain SR4T and its reference strains were less than 74.2 and 16.3%, resp. Growth occurred at 20-35° (optimum, 28°), pH 6.0-9.0 (optimum, pH 7.0) and in the presence of 1-6% (w/v) NaCl (optimum, 2-4%). The dominant fatty acids were C16 : 0, iso-C15 : 0 and C20 : 4 ω 6,9,12,15c. The polar lipid profile of strain SR4T comprised phosphatidylethanolamine, two glycolipids, two aminophospholipids and three unidentified lipids. The major respiratory quinone was MK-7. The DNA G + C content of strain SR4T was 34.20 mol%. On the basis of the polyphasic evidence, strain SR4T is proposed as representing a novel species of the genus Flammeovirga, for which the name Flammeovirga agarivorans sp. nov. is proposed. The type strain is SR4T (= KCTC 82075T = MCCC 1A17137T).

International Journal of Systematic and Evolutionary Microbiology published new progress about 16S rRNA Role: BSU (Biological Study, Unclassified), BIOL (Biological Study). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Moggia, Giulia’s team published research in ChemElectroChem in 2020 | 87-73-0

ChemElectroChem published new progress about Electric current-potential relationship. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Moggia, Giulia; Kenis, Thomas; Daems, Nick; Breugelmans, Tom published the artcile< Electrochemical Oxidation of D-Glucose in Alkaline Medium: Impact of Oxidation Potential and Chemical Side Reactions on the Selectivity to D-Gluconic and D-Glucaric Acid>, Application In Synthesis of 87-73-0, the main research area is glucose electrochem oxidation chem side reaction gluconic glucaric acid.

The electrocatalytic oxidation of D-glucose was studied in alk. medium on copper, platinum, and gold electrodes with particular emphasis on the synthesis of a high value-added product: glucaric acid. An initial ranking of the three different materials, with respect to their electrochem. activity towards glucose oxidation, was performed utilizing cyclic voltammetry. To determine which functional group can react on which metal, cyclic voltammetry experiments were performed in three different solutions containing 0.04 M gluconic acid, glucuronic acid, or glucaric acid in 0.1 M aqueous NaOH. The observations drawn based on these initial experiments were then verified by analyzing the product solutions (obtained after prolonged electrolysis experiments) with HPLC anal. The oxidation of glucose on copper at high potentials leads predominantly to C-C cleavage products, mainly formic acid, with a selectivity of 54.2%; whereas, at lower potentials, the oxidation of the aldehyde group on C1 and of the hydroxymethyl group on C6 produces moderate yields of gluconic and glucaric acid. On platinum, the oxidation of the aldehyde group on C1 is the most relevant process; therefore, the selectivity towards gluconic acid obtained is as high as 78.4%. Nevertheless, at lower potentials, a higher selectivity to glucaric acid (12.6%) and a lower selectivity to gluconic acid (68.0%) are the result of a more effective oxidation of also the hydroxymethyl group on C6. Gold is the most active and selective electrocatalyst of the ones examined in this work. On gold, at lower potentials, the oxidation of the aldehyde group on C1 produces 86.6% of selectivity to gluconic acid while, at higher potentials, the oxidation of the hydroxymethyl group on C6 also takes place, promoting the further oxidation to glucaric acid (13.5% of selectivity is reached after 65 h of reaction at 5°C, with a residual gluconic acid equal to 65.8%). The demonstrated dependence of the selectivity on the oxidation potential suggests new future perspectives for the electrocatalytic oxidation of D-glucose to D-glucaric acid on bare metal electrodes. Moreover, the low selectivity of this process, very often claimed in literature, has been ascribed here for the first time to two chem. processes, which are in competition with the electrochem. one and both consume the reactant and promote the formation of undesired side-products.

ChemElectroChem published new progress about Electric current-potential relationship. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Application In Synthesis of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Haykal, Tony’s team published research in Biomedicine & Pharmacotherapy in 2021-08-31 | 87-73-0

Biomedicine & Pharmacotherapy published new progress about Acute myeloid leukemia (cell lines). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, COA of Formula: C6H10O8.

Haykal, Tony; Younes, Maria; El Khoury, Marianne; Ammoury, Carl; Tannous, Stephanie; Hodroj, Mohammad H.; Sarkis, Rita; Gasilova, Natalia; Menin, Laure; Rizk, Sandra published the artcile< The pro-apoptotic properties of a phytonutrient rich infusion of A. cherimola leaf extract on AML cells>, COA of Formula: C6H10O8, the main research area is Annona cherimola leaf extract proapoptotic phytonutrient acute myeloid leukemia; Acute Myeloid Leukemia; Annona cherimola tea infusion; Anti-oxidant; Apoptosis; Phytochemicals.

Annonaceae family has broad uses in herbal medicine for treatment of several diseases, whether through seeds′ or leaves′ extracts The present study investigates the antiproliferative and antitumor activity of Annona cherimola aqueous leaf (AAL) extract/infusion in acute myeloid leukemia (AML) cell lines in vitro. High-resolution LC-MS was first used to analyze the composition of the aqueous extract Cell proliferation assay, Annexin V staining, cell cycle anal., dual Annexin V/PI staining, cell death quantification by ELISA, ROS level detection and Western Blotting were then performed to elucidate the therapeutic effects of AAL extract The results obtained revealed a potent antioxidant activity of AAL extract Moreover, the extract exhibited dose- and time-dependent antiproliferative effects on AML cell lines by decreasing cell viability with an IC50 of 5.03% (volume/volume) at 24 h of treatment of KG-1 cells. This decrease in viability was accompanied with a significant increase in apoptotic cell death with cell cycle arrest and flipping of the phosphatidylserine from the inner to the outer leaflet of the cell membrane. The resp. overexpression and downregulation of proapoptotic proteins like cleaved caspase-8, cleaved PARP-1 and Bax and antiapoptotic proteins like Bcl-2 further validated the apoptotic pathway induced by AAL on AML cells. Finally, LC-MS revealed the presence of several compounds like fatty acids, terpenes, phenolics, cinnamic acids and flavonoids that could contribute to the antioxidant and anti-cancer effects of this herbal infusion. In addition to the generally known nutritional effects of the Annona cherimola fruit and leaves, the presented data validates the antioxidant and anti-cancerous effects of the leaf infusion on AML cell lines, proposing its potential therapeutic use against acute myeloid leukemia with future in vivo and clin. trials.

Biomedicine & Pharmacotherapy published new progress about Acute myeloid leukemia (cell lines). 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, COA of Formula: C6H10O8.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Erban, Alexander’s team published research in Scientific Reports in 2019-12-31 | 87-73-0

Scientific Reports published new progress about Flax. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Erban, Alexander; Fehrle, Ines; Martinez-Seidel, Federico; Brigante, Federico; Mas, Agustin Lucini; Baroni, Veronica; Wunderlin, Daniel; Kopka, Joachim published the artcile< Discovery of food identity markers by metabolomics and machine learning technology>, Electric Literature of 87-73-0, the main research area is Salvia Linum Sesamum food processing marker metabolomics.

Verification of food authenticity establishes consumer trust in food ingredients and components of processed food. Next to genetic or protein markers, chems. are unique identifiers of food components. Non-targeted metabolomics is ideally suited to screen food markers when coupled to efficient data anal. This study explored feasibility of random forest (RF) machine learning, specifically its inherent feature extraction for non-targeted metabolic marker discovery. The distinction of chia, linseed, and sesame that have gained attention as “”superfoods”” served as test case. Chem. fractions of non-processed seeds and of wheat cookies with seed ingredients were profiled. RF technol. classified original seeds unambiguously but appeared overdesigned for material with unique secondary metabolites, like sesamol or rosmarinic acid in the Lamiaceae, chia. Most unique metabolites were diluted or lost during cookie production but RF technol. classified the presence of the seed ingredients in cookies with 6.7% overall error and revealed food processing markers, like 4-hydroxybenzaldehyde for chia and succinic acid monomethylester for linseed additions RF based feature extraction was adequate for difficult classifications but marker selection should not be without human supervision. Combination with alternative data anal. technologies is advised and further testing of a wide range of seeds and food processing methods.

Scientific Reports published new progress about Flax. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Electric Literature of 87-73-0.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts