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Complex Mixtures

Complex mixtuers are heterogeneous substances composed of multiple chemical componets, such as those found in biological samples, environmental pollutants, and industrial products.
These complex mixtures present significant challenges for researchers, requiring optimized protocols and analysis techniques to accurately characterize and understand their composition and behavior.
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Most cited protocols related to «Complex Mixtures»

Chemically defined substances should be described by generic name, chemical name according to the International Union of Pure and Applied Chemistry (IUPAC) nomenclature, other generic international names and abbreviations and the Chemical Abstract Service (CAS) number and the European Inventory of Existing Commercial chemical Substances number (EINECS), European Community number and European Enzyme Commission number if available. The structural and molecular formula, the openSMILES notation and the molecular weight must be included. Where relevant, the isomeric forms should be given. Information on structurally related substances should be included, when appropriate.
For chemically defined compounds used as flavourings, the EU Flavour Information System (FLAVIS) number in connection with relevant chemical group should be included.
For additives of plant origin, the characterisation should include the scientific name of the plant of origin and its botanical classification (family, genus, species, if appropriate subspecies). The parts of the plant used to obtain the active substance(s) (e.g. leaves, flowers, seeds, fruits, tubers, roots) should be indicated. The identification criteria and other relevant aspects of the plants should be indicated. For complex mixtures of many compounds obtained by an extraction process, it is recommended to follow the relevant terminology such as essential oil, absolute, tincture, extract and related terms widely used for botanically defined flavouring products to describe the extraction process. Reasonable efforts should be made to identify and quantify all components of the mixture. One or more marker compounds should be selected, which will allow the additive to be identified in the different studies. Information on the variability in composition of comparable products should be provided. This could be done by reference to published literature.
For natural products of non‐plant origin, an equivalent approach to the above may be used.
Additives in which not all constituents can be identified should be characterised by the constituent(s) contributing to its activity. One or more marker compounds should be selected which will allow the additive to be identified in the different studies.
For clays' data on elemental and mineralogical composition as well as information on the structure should be provided by appropriate methods (e.g. atomic absorption spectrophotometry, X‐ray diffraction, differential thermal analysis).
For enzyme and enzyme preparations, the number and systematic name proposed by the International Union of Biochemistry (IUB) in the most recent edition of ‘Enzyme Nomenclature’ should be given for each declared activity. For activities not yet included, a systematic name consistent with the IUB rules of nomenclature shall be used. Trivial names are acceptable provided that they are unambiguous and used consistently throughout the dossier, and they can be clearly related to the systematic name and IUB number at their first mention.
When the active substance(s)/agent(s) is/are supplied by a third party, the requirements/specifications (e.g. purity and impurities with safety relevance) set by the applicant should be provided.
For chemical substances produced by fermentation, the microbial origin should also be described (see Section 2.2.1.2).
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Publication 2017
Clay Complex Mixtures Differential Thermal Analysis Enzymes Europeans Fermentation Flowers Fruit Generic Drugs Genes, Plant Isomerism Oils, Volatile Plant Embryos Plant Proteins Plant Roots Plants Plant Tubers Safety Spectrophotometry, Atomic Absorption X-Ray Diffraction
The fractional abundance matrix F can be determined for the bulk GEP matrix M, either through expression deconvolution as described above2 (link),3 (link) or with prior empiric knowledge of the compositional representation of cell types within the bulk specimen (e.g., by an automated hematology analyzer, or by flow cytometry)25 (link). Once F is determined for a given M, a representative imputed GEP for each cell type in F can be estimated by solving the following system of linear equations:
Hi,×F=Mi,,1in
where H is a n × c expression matrix of n genes and c cell types, Hi,j 0 for all i, j, and F is defined as above with the constraint that relative cell fractions sum to one for each mixture sample. Like Equation 1 above, the system should be overdetermined (k > c), with a greater difference between k and c generally leading to improved GEP estimation (Fig. 3e, Supplementary Fig. 6). To ensure biologically realistic estimates of gene expression, we employ non-negative least squares regression (NNLS), an optimization framework to solve the least squares problem with non-negativity constraints. Although NNLS is robust on simple mixtures and toy examples, its performance on more complex mixtures inherent within real tissue samples can be affected by noise, imprecision, and missing data in the linear system15 (link). We therefore developed a series of novel data normalization and filtering techniques to help mitigate these issues (Fig. 3b-d, see ‘Imputation of group-mode expression profiles’ in Supplementary Note 1).
Publication 2019
Cells Complex Mixtures Dietary Fiber Flow Cytometry Gene Expression Genes, vif Matrix-M Tissues
Western blotting is a valuable tool to studies ranging from regulatory signaling processes to confirmatory serum diagnosis of HIV [68 (link)–70 (link)]. The evolution of western blot technique from identification of a specific protein in a complex mixture to the direct detection of protein in a single cell allows this technique to be an important analytical tool for clinical research. An advanced single cell western blotting technique was employed to study stem cell signaling and differentiation as well as drug response in tumor cells [69 (link)]. Through single cell western blotting it was possible to analyze cell-to-cell variations in approximately 2000 cells simultaneously within complex populations of cells [71 (link)]. With the integration of intact cell imaging, the technique allows the identification of protein expression changes of a single drug resistant tumor cell and its isoforms among heterogeneous population of tumor cells in human glioblastoma cells treated with chemotherapeutic daunomycin [69 (link)]. Identification of upregulated multidrug resistant protein, P-glycoprotein in living glioblastoma subpopulations was indicative of an active drug eflux pump as an underlying mechanism for drug resistance [69 (link),71 (link)]. With the application of 2-DE gel separation together with spotting of protein by peptide mass fingerprint, the analysis of clinically relevant Helicobacter pylori (H. pylori) in related gastric disease conditions (chronic gastritis, duodenal ulcer) was possible [72 (link)]. The database of H. pylori (low expressed and membrane proteins) was created through the application of one-dimensional or 2-DE/MALDI-mass spectrometry techniques [72 (link)]. In a similar manner, the Simple Western technique was employed for the analysis of 15-valent pneumococcal vaccine PCV15-CRM197 [73 (link)]. Due to its high sensitivity and automation, the Simple Western method may be extended to analyze serotypes of other polysaccharide protein conjugate vaccines [73 (link)].
Western blotting is commonly used for the clinical diagnosis of various parasitic and fungal diseases including echinococcosis [74 (link)], toxoplasmosis [75 (link)], and aspergillosis [76 (link)]. In a recent study, the assay was successfully used for the reliable serodiagnosis of Farmer’s lung disease (FLD), a pulmonary disorder caused by inhalation of antigenic particles [77 (link)]. Thus, this technique can be exploited for rapid routine diagnosis of FLD in clinics [77 (link)]. Similarly, for immunodiagnostic of tuberculosis meningitis which is a chronic disease of central nervous system different molecular and immunological methods were used for clinical diagnosis of the disease. However, each of these techniques has their own limitations [78 (link)]. To overcome diagnostic issues of lower sensitivity and specificity, the immunoreactivity to Mycobacterium tuberculosis antigens was performed by western blotting [78 (link)]. Furthermore, western blotting was performed for the early and sensitive diagnosis of congenital toxoplasmosis [79 (link)] and was employed for rapid and sensitive serological diagnosis of a serious infectious disease paracoccidioidomycosis (PCM) [80 (link)]. Using immunoblotting, a new subgroup of human lymphotropic retroviruses (HTLV), was detected in patients with the acquired immunodeficiency syndrome (AIDS) [81 (link)]. Antigens of HTLV-III, specifically detected by antibodies in serum from AIDS or pre-AIDS patients [81 (link)]. Western blotting has also been used as a test for variant Creutzfeldt-Jakob Disease [82 (link)], some forms of Lyme disease [83 (link)] and is sometimes used as a confirmatory test for Hepatitis B [84 ] and Herpes Type 2 [85 (link)] infections. Western blots have also been used to confirm feline immunodeficiency status in cats [86 (link)].
Recently, a commercial Aspergillus western blotting IgG kit was developed by LD Bio Diagnostics (France) to carry out immunoblotting for the clinical diagnosis of chronic aspergillosis. The commercial kit was found to be sensitive and can analyze hundreds of samples from patients with aspergillus disease [87 (link)]. Thus, the clinical applications of western blotting technique will continue to progress as further advancements are made to improve sensitivity and reproducibility of the western blot.
Publication 2017
Acquired Immunodeficiency Syndrome Antibodies Antigens Aspergillosis Aspergillus Biological Assay Biological Evolution Cells Central Nervous System Diseases Communicable Diseases Complex Mixtures CRM197 (non-toxic variant of diphtheria toxin) Daunorubicin Diagnosis Duodenal Ulcer Echinococcosis Farmers Felidae Fingerprints, Peptide Gastritis Glioblastoma Helicobacter pylori Hepatitis B HIV Antigens Homo sapiens Hypersensitivity Immunodiagnosis Immunologic Deficiency Syndromes Immunologic Techniques Infection Inhalation Lung Diseases Lyme Disease Mass Spectrometry Membrane Proteins Mycobacterium tuberculosis antigens Mycoses Neoplasms New Variant Creutzfeldt-Jakob Disease P-Glycoprotein Paracoccidioidomycosis Patients Pharmaceutical Preparations Pharmacotherapy Pneumococcal Vaccine Polysaccharides Population Group Protein Isoforms Proteins Resistance, Drug Retroviridae Serodiagnosis Serum Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Staphylococcal Protein A Stem, Plant Stem Cells Stomach Diseases T-Cell Leukemia Viruses, Human Toxoplasmosis Toxoplasmosis, Congenital Tuberculosis, Meningeal Vaccines, Conjugate Western Blot Western Blotting
The linkered cDNA pool from each individual sample was amplified for 20 cycles [as described in (12 (link))] with an unique pair of barcoded primers. A second round of amplification with temperatures and cycle lengths identical to the initial round, but with variable number of total cycles (six, eight and ten), was performed using 1/25th of the first PCR product, dNTPs, barcoded primers, buffer and Taq DNA polymerase in a 40 μl PCR mix. An analytical, non-denaturing 4% Nusieve gel was used to visually determine the fewest number of cycles that yielded a visible signal for PCR products containing inserts corresponding to small RNAs. DNA was extracted from the gel using the Qiaquick gel extraction kit (Qiagen). Although the instructions for gel extraction called for dissolution of the gel slice in Buffer QG at 50°C, we performed all manipulations of the DNA-containing buffers at room temperature, to ensure that the complex PCR mixtures were not denatured.
To obtain a rough quantitation of individual libraries, 10% of each recovered PCR product was separated on an analytical 2% agarose gel. Based on the intensities of bands on this gel, PCR products from 25 samples were pooled together in roughly equimolar ratios. Quality of the mixture was tested by conventional Sanger sequencing of 46 PCR products that had been cloned into TOPO-TA vectors (Invitrogen). If the sequence quality was satisfactory, 300 ng of the mixture was run on a non-denaturing 2% low melting point (LMP)-agarose gel (run I) or on a denaturing 6% PAGE–urea gel (run II; recommended) for quantification, and for further size-restricted purification of barcoded species that contain small RNA inserts. DNA was eluted from the PAGE–urea gel overnight at 4°C in 0.3 M NaCl.
Publication 2007
Buffers Cloning Vectors Complex Mixtures DNA, Complementary Oligonucleotide Primers Sepharose Sodium Chloride Taq Polymerase trioctyl phosphine oxide Urea
To determine if the measured percent editing was significant, we implemented a null hypothesis significance testing approach using a null distribution modeled from the background noise. The null distribution is generated by trimming the first 20 bases of the sequence and removing the 20 bases of the protospacer. Additionally, bases that fall within the 10th percentile of total area are removed, as small peaks are associated with poor initial primer binding and poor end extension.24 To account for the variability in sequencing, the user can manually select the region to model the null distribution in case the default trimming does not effectively remove low-quality sequencing. Next, the value of every “N” trace fluorescence under every non-“N” basecall (e.g., T fluorescence under A, C, or G peaks) is compiled to generate a sample of the noise distribution. The sample of the noise distribution for each base is fitted to a zero-adjusted gamma distribution (zΓ; Supplementary Fig. S1) using the package gamlss.25 We chose the zΓ distribution for three reasons: (1) it has a domain from 0 to +∞, (2) it is a continuous distribution allowing for non-integer values, and (3) it allows for a high proportion of zeros in the data, which accounted for 10% of the values in our data (Supplementary Fig. S1).25 Filliben's correlation coefficient (RF2 (link)) is calculated to assess the goodness of fit of the model given the data, where RF2 (link) = 1 is a perfect fit. From this model, we can assign critical values using a default level of significance (α = 0.01), which the user can manually change on EditR's interface.
EditR was written in the R statistical programming environment v3.4.0. EditR requires a sample AB1 Sanger sequencing file (i.e., cells treated with base editor and gRNA) and a 15–24 nt character string of the edited region of interest (i.e., gRNA protospacer). Initial parameters for the program have set defaults that can be adjusted by the user under the advanced settings if desired. The EditR web app was written with R Shiny v1.0.1 and helped by incorporating design from TIDE and Poly Peak Parser.18 (link),19 (link) The former identifies simple indel mixtures from Sanger sequencing data, while the latter calculates the frequency and composition of complex indel mixtures.
The sample file is uploaded and read into EditR. The fluorescence area of all four bases at each base call is assigned, as measured by the software provided by the capillary electrophoretic instrument manufacturer and determined by the makeBaseCalls function of sangerseqR. The percent area of each base is calculated by dividing the total area of the focal base by the area of all the bases summed together. The guide sequence is then aligned to the primary sequence generated from the base calls using the ends-free overlap alignment algorithm in pairwiseAlignment() with type = “overlap” argument from the Biostrings package.26 Ends-free alignment was chosen, as it aligned to a local match while also being robust to changes in the first base of the guide, as well multiple base changes in the middle of the guide.
Publication 2018
Base Sequence Cells Character Complex Mixtures Electrophoresis, Capillary Fluorescence Gamma Rays INDEL Mutation Oligonucleotide Primers Poly A

Most recents protocols related to «Complex Mixtures»

Not available on PMC !

Example 10

Complex Mixture Em5-i:

[Figure (not displayed)]

A solution of 0.60 g of Em5-s complex mixture in 200 ml of 3-methoxypropionitril is irradiated with a blacklight blue lamp at room temperature for 7 h (Osram, L18W/73, λmax=370-380 nm). The solvent is removed under reduced pressure. The residue is carefully washed with methanol. This gives 0.10 g of Em5-i as a pale yellow powder (17%, again mixture of two cyclometalation isomers).

MS (Maldi):

m/e=1110 (M+H)+

Photoluminescence (in a film, 2% in PMMA):

λmax=456,487 nm, CIE: (0.20; 0.34)

The photoluminescence quantum yield of the isomerized Em5-i complex mixture has 1.50 times the quantum yield of the Em5-s complex mixture.

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Patent 2024
carbene Complex Mixtures Isomerism Methanol NADH Dehydrogenase Complex 1 Polymethyl Methacrylate Powder Pressure Solvents Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Suby's G solution
For Delta-RBD/BA.2–23/BA.2–36/EY6A/mAb-4, delta RBD was incubated with a 1.1 M excess of each Fab on ice for ca. 10 min before application of a 3 μL aliquot of this complex mixture to a freshly glow-discharged (35 s, high with a Plasma Cleaner PDC-002-CE, Harrick Plasma) Quantifoil 2/1 300 mesh grids. Excess liquid was removed by blotting for 6 s with a force of −1 using vitrobot filter paper (grade 595, Ted Pella Inc.) at 4.5°C, 100% reported humidity before plunge freezing into liquid ethane using a Vitrobot Mark IV (Thermo Fisher).
Movies, 20,535 in total, were collected on a Titan Krios operating at 300 kV equipped with a Falcon-IV Selectris at 130 kX magnification, corresponding to a calibrated pixel size of 0.7303 Å2 with a total dose of 50 e−/Å2 using EPU software (ThermoFisher scientific) and defocus range of 0.8–2.6 μm in EER format.
Data were pre-processed on-the-fly in the cryoSPARC live interface, using initial 2D classes from blob-picked particles a template for template picking.56 (link) 3,529,798, picked particles, were then 2D classified into 250 classes in cryoSPARC v3.3.2 ‘static’ version, and 335,851 particles that were not obviously ‘junk’ were further classified, resulting in 29,589 particles in classes representing a variety of views. These were then used as input for ab-initio 3D reconstruction to three classes before heterogeneous refinement using the resulting volume set. One class, containing 167,492 particles, clearly commensurate with an RBD decorated with four Fabs, was then refined using non-uniform refinement before unbinning and further refinement to a final reported resolution of 2.9 Å resolution (−93 reported global b-factor).
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Publication 2023
Complement Factor B Complex Mixtures Edema Ethane Genetic Heterogeneity Heroin Humidity Plasma Reconstructive Surgical Procedures Strains
The apparatus and procedure of
the experiments have been described in detail in an earlier publication,30 (link) with some modifications to the reaction procedure
for propane, as well as the analysis procedure by gas chromatography
(SI Section 1.2) for the complex liquid
product mixture. Briefly, a Parr reactor is used with a Teflon insert
in the reactor along with a shaft and a thermowell coated with Teflon
to prevent ozone decomposition on the metal surfaces.
A dioxygen
stream is used to generate a mixture of ozone and dioxygen with the
desired ozone mole fraction by an Atlas ozone generator and charged
into a reservoir equipped with a pressure transducer.57 (link) Ar is then added into the reservoir to a desired pressure.
Unless otherwise mentioned, the mixture contains about 5% O3 and 45% O2, with the balance being Ar. A Teflon-lined
Parr vessel is evacuated at 80 °C under vacuum. The reactor is
cooled and charged with the desired amounts of liquid alkanes (0.3
mol total alkanes) from an ISCO syringe pump cooled to 10 °C.
An option to direct the liquid alkane stream through a sample loop
containing distilled water is provided to meter in controlled amounts
of water. The reactor stirrer is set at 1000 rpm to allow the reactor
to stabilize at the laboratory temperature of around 24–25
°C. Throughout a semi-batch run, the O2 + O3 + Ar mixture is supplied continuously to the reactor via a pressure
regulator maintained at a constant pressure. The reaction conditions
are provided in figure captions. The alkanes that escape with the
gas phase are partially condensed in a cold trap held around −60
to −50 °C and ambient pressure to concentrate the CO2. The gas from the condenser is collected in Tedlar sample
bags. At the end of a run, the reactor is placed in an ice bath kept
in a freezer at −18 °C. At this temperature, the vapor
pressures of all compounds remaining in the reactor are very low (SI Section 1.1). Then, a weighed amount of cold
methanol is added into the reactor, and the reactor is kept at around
0–4 °C to allow the remaining alkanes to vaporize and
be condensed in the cold trap. The trap is maintained at around −60
to −50 °C for butanes, and around −90 °C when
propane is present. After adding 2-pentanone as an internal standard,
the methanolic liquid sample is injected into an Agilent 7890A GC
equipped with a flame ionization detector (FID) and a HP-PLOT/Q column
to resolve ≥C2 products. The methanolic liquid sample
is also added to D2O with maleic acid as an internal standard
to quantify formic acid by 1H NMR spectroscopy. The gas
samples collected in Tedlar bags were injected into another GC equipped
with a thermal conductivity detector to analyze the CO2 and an FID to analyze the hydrocarbons. More details of the GC/FID
analytical methods, including a sample chromatogram, are provided
in SI Section 1.3.
The details of
estimating alkane conversion (X), molar product selectivity,
and O3 utilization (U), as well as their
confidence intervals, are provided
in SI Section 1.4. The O3 utilization
is characterized by the ratio of utilized oxidizing equivalents from
ozone/theoretical maximum oxidizing equivalents.
Publication 2023
1H NMR 2-pentanone Alkanes ARID1A protein, human Bath Blood Vessel Butanes Cold Temperature Complex Mixtures Dioxygen Flame Ionization formic acid Gas Chromatography Genetic Selection Hydrocarbons maleic acid Metals Methanol Molar Moles Ozone Pressure Propane Spectrum Analysis Syringes Tedlar Teflon Transducers, Pressure Vacuum
To simultaneously measure the activities of multiple TFs, a Cancer Stem Cell TF activation profiling plate array (FA-1004; Signosis, Santa Clara, CA, USA) was used. Briefly, biotin-labeled probes containing consensus sequences of TF DNA-binding sites were incubated with nuclear extracts that were prepared by nuclear extraction kit (SK-0001; Signosis) for 30 min at 25°C. The TF/probe complex mixtures were separated by spin column purification. The bound probes were detached from the complex using elution buffer and centrifuged at 9,800 ×g for 2 min. After the eluents were denatured at 98°C for 5 min, the denatured sample was added to TF hybridization buffer. The resulting mixture (100 μL) was added to each well of the hybridization plate, and the plate was sealed with aluminum adhesive and incubated at 42°C for 16 h. The captured DNA probe was further detected using a streptavidin-horseradish peroxidase conjugate. Endpoint luminescence readings of the samples were observed using Fluostar omega (BMG Labtech, Ortenberg, Germany).
Publication 2023
Acid Hybridizations, Nucleic Aluminum Binding Sites Biotin Buffers Cancer Stem Cells Complex Mixtures Consensus Sequence DNA Probes G-800 Horseradish Peroxidase Luminescence Streptavidin
Regarding assessment criteria, 60% of ThOD has been frequently invoked as a threshold for ready biodegradability [23 ,27 ,28 (link),29 ], and 20% of ThOD is used by [30 ] as a pre-screening criterion to consider a material as potentially biodegradable in the marine environment. However, during microbial biodegradation, a relevant proportion of the polymer carbon is not mineralized to CO2 but assimilated by the heterotrophic microbial consortium and converted into biomass, setting an actual maximum of BOD between 30 and 50% below ThOD [31 (link)]. On the other hand, current biodegradable materials are frequently heteropolymers and complex mixtures whose exact atomic composition is unknown, which prevents calculation of the ThOD. Because of these limitations, we have recently proposed replacing the percentage of ThOD by the percentage of the BOD recorded in the positive control (C+), using as C+ the truly marine-biodegradable polymer PHB [11 (link)].
In addition, since the current method is based on short-term (28 days) incubations, it is advisable to include a third benchmark intended to differentiate fully non-biodegradable materials from slightly biodegradable materials, which can be arbitrarily set at 5% C+. Therefore, a provisional scheme for the assessment of marine biodegradability of plastic materials can be based on these benchmarks, resulting in the following classes (Table 1): (i) non-biodegradable (<5% C+ in 28 days), (ii) slightly biodegradable (between 5 and 20%), (iii) moderately biodegradable (between 20 and 60%), and (iv) readily biodegradable (>60%) (see Table 1).
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Publication 2023
Carbon Complex Mixtures Environmental Biodegradation Heterotrophy Marines Microbial Consortia Polymers

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More about "Complex Mixtures"

Complex mixtures are heterogeneous substances made up of multiple chemical components, like those found in biological samples, environmental pollutants, and industrial products.
These intricate blends pose significant challenges for researchers, requiring optimized protocols and advanced analysis techniques to accurately characterize and understand their composition and behavior.
Leverage the power of AI-driven tools like PubCompare.ai to enhance your complex mixture research.
Identify the best protocols from literature, preprints, and patents, and improve the reproducibility and efficiency of your studies.
PubCompare.ai's AI-powered comparisons help you find the optimal methods and products for your complex mixture analyses, including techniques like Opti-MEM, Lipofectamine 2000, Lipofectamine 3000, and Lipofectamine RNAiMAX for transfection, Vitrobot Mark IV for cryo-EM sample preparation, and SYBR Safe for nucleic acid staining.
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Unlock new insights and drive your complex mixture research forward with the power of AI-driven solutions.