Human VDBP ELISA kit (4X96T)
- Known as:
- Human VDBP Enzyme-linked immunosorbent assay test reagent (4X96T)
- Catalog number:
- lf-ek0142
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Abfrontier
- Gene target:
- Human VDBP ELISA kit (4X96T)
Related genes to: Human VDBP ELISA kit (4X96T)
- Gene:
- GC NIH gene
- Name:
- GC vitamin D binding protein
- Previous symbol:
- -
- Synonyms:
- DBP, VDBP, hDBP
- Chromosome:
- 4q13.3
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2019-01-25
Related products to: Human VDBP ELISA kit (4X96T)
Related articles to: Human VDBP ELISA kit (4X96T)
- Tequila, a traditional Mexican spirit, is produced by distilling fermented blue agave. This study examined the aroma chemistry of 15 commercially available 100% blue agave blanco tequilas using GC-olfactometry and GC-MS. Seventy-six odorants were detected, including 56 identified, 10 tentatively identified, and 10 unknowns. Sixty-two odorants were accurately quantitated for all tequilas. Nine compounds are reported in tequila for the first time. Aroma extract dilution analysis (AEDA) of three selected tequilas along with the odor-activity values demonstrated that the main aroma contributors were 2,3-butanedione, (E)-β-damascenone, 2-methylbutanal, 3-methylbutanal, 2-methylpropanal, 1,1-diethoxyethane, ethyl propanoate, ethyl butanoate, ethyl 2-methylbutanoate, ethyl 3-methylbutanoate, butanoic acid, 4-vinylguaiacol, vanillin, and linalool. Aroma models were established for the same three selected brands and evaluated by sensory descriptive analyses, validating identification and quantitation results. This comprehensive analysis advances the understanding of blanco tequila's complex flavor chemistry, potentially aiding in product quality improvements and preservation of its unique aroma profile. - Source: PubMed
Huang XinheCadwallader Keith R - Despite the increasing use of gas chromatography coupled with electron ionization high-resolution mass spectrometry (GC-EI-HRMS), only a limited amount of GC-EI-HRMS reference data is currently available. Such data are beneficial not only for use with a GC-EI-HRMS instrument but also for computational purposes─for example, for training machine learning models that predict fragmentation under electron ionization conditions. Such models are currently trained and tested on integer m/z data, although they predict the exact elemental composition of ions. High-quality GC-EI-HRMS data will be able to boost the development of such models even if the end user does not have such an instrument. We present HREI-MSDB: a GC-EI-HRMS mass spectral library with an m/z range of 40-500, and a resolution (full width at half-maximum) of 30,000. The error in m/z determination for almost all peaks (except for special cases such as overlapping of intense peaks) does not exceed 0.6 mDa; typical values are 0.1-0.4 mDa or 0.5-1.5 ppm. The data set includes 329 mass spectra of molecules of various classes (nitrogen-containing heterocycles, aromatic and polyaromatic compounds, alcohols, phenols, and essential oil components). All mass spectra are manually verified, free of intense impurity peaks, and are of high quality. In the future, mass spectra may be posted on MassBank. The data is available online: https://doi.org/10.6084/m9.figshare.29713460. - Source: PubMed
Sholokhova Anastasia YuBaygildiev Timur MChichkanova Ekaterina SBorovikova Svetlana AIkhalaynen Yuriy ARodin Igor AMatyushin Dmitriy D - We demonstrate the use of acceptance sampling by attribute to verify that technical measures implemented at construction worksites meet the requirements of environmental regulations, standards and codes of practice. In contrast to environmental monitoring of broader spatial and temporal effects, acceptance sampling plans are used to verify the effectiveness of such measures at the time of the verification during construction activities. Applying power statistics used in acceptance sampling, Type II Error (β) is considered as the environment's risk to achieving environmental protection policies while Type I Error (α) is considered as the proponent's risk for the person having to implement such measures. Using a case study, we demonstrate the development of acceptance sampling plans by attribute for erosion and sediment control. Working from a hypothetical policy for the environment's risk and the proponent's risk, we also underline the importance of sample sizes to make the correct decisions when verifying if technical measures are functioning as intended based on a policy for acceptable levels of non-conformity. The report provides an overview of the probability mathematics used in acceptance sampling plans that include the calculation of the acceptance number as a decision rule for a given sample size and the calculations of the environment's risk and the proponent's risk. - Source: PubMed
Publication date: 2026/09/03
Cormier RolandMallet ManonGoguen Gabriel - We report the whole-genome sequence of multidrug resistant RSJ-SAU.Ec.2025 isolated from the nasal swab of a cat in Dhaka, Bangladesh. The assembled genome comprises 5,318,660 bp with 50.5% guanine-cystosine (GC) content, together with putative antibiotic-resistant genes. - Source: PubMed
Publication date: 2026/09/03
Mannan Muhammad AbdulJhilik Rubaya SharminAbdullah S MFarhan Md Abdullah AlRahman MustafizurJubair MohammadRahman Md MorshedurGilman Md Abu AhsanHoque M NazmulKarim Md Rezaul - Here, we report the genome assembly and annotation of two clinical isolates of from primary amebic meningoencephalitis cases in Costa Rica in 2020 using Illumina sequencing. Each assembly comprised 37 reference-guided scaffolds, with genome sizes of approximately 28 Mbp and a GC content of 36.87%. - Source: PubMed
Publication date: 2026/09/03
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