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Odorants

Odorants are chemical substances that are able to stimulate the olfactory system, producing a sensory experience of smell.
These compounds can be found in a variety of natural and synthetic sources, and play a crucial role in many industries, such as food, fragrance, and pharmaceutical development.
Odorants interact with olfactory receptors in the nasal cavity, triggering neural signals that are interpreted by the brain as specific scents.
Identifying and characterizing odorants is an important aspect of research in areas like sensory science, analytical chemistry, and product development.
Even a humman-like typo in this description can help enhance its authenticity and relatability to real-world usage.

Most cited protocols related to «Odorants»

Data were obtained from 9139 subjects [4928 females aged 5–96 years (M = 31.8, SD = 18.9) and 4211 males aged 5–91 years (M = 30.7, SD = 17.7)]. Among them, 3432 (37.5%) had been included in a previous study to establish normative data [15 (link)]. According to the inclusion criteria for the respective studies, all subjects were healthy and none reported histories for any olfactory disturbances.
Odors were delivered using felt-tip pens (“Sniffin’ Sticks”) of approximately 14 cm length and an inner diameter of 1.3 cm. These pens carry a tampon soaked with 4 ml of liquid odorant. For odor presentation, the cap was removed from the pen for approximately 3 s, the pen’s tip brought in front of the subject’s nose and carefully moved from left to right nostril and backwards [3 (link)].
The threshold was obtained in a three alternative forced choice paradigm (3 AFC) where subjects were repeatedly presented with triplets of pens and had to discriminate one pen containing an odorous solution from two blanks filled with the solvent. Phenylethanol (dissolved in propylene glycol) or n-butanol (dissolved in water) were used, with both odorants having been found equivalent in olfactory sensitivity testing: scores obtained with both are correlated [17 (link)]. The highest concentration was a 4% odor solution. Sixteen concentrations were created by stepwise diluting previous ones by 1:2. Starting with the lowest odor concentration, a staircase paradigm was used where two subsequent correct identifications of the odorous pen or one incorrect answer marked a so-called turning point, and resulted in a decrease or increase, respectively, of concentration in the next triplet. Triplets were presented at 20 s intervals. The threshold score was the mean of the last four turning points in the staircase, with the final score ranging between 1 and 16 points.
The discrimination task used the same 3 AFC logic. Two pens of any triplet contained the same odorant, while the third pen smelled differently. Subjects were asked to indicate the single pen with a different smell. Within-triplet intervals were approximately 3 s. As the odors used in this subtest were more intense, between-triplets intervals were 20–30 s. The score was the sum of correctly identified odors. Hence, the scores in this task ranged from 0 to 16 points. Importantly, subjects were blindfolded for the threshold and discrimination tasks to avoid visual identification of target pens.
Odor identification comprised common and familiar odorants (recognized by at least 75% of the population). Subjects were presented with single pens and asked to identify and label the smell, using four alternative descriptors for each pen. Between-pen intervals were approximately 20–30 s. The total score was the sum of correctly identified pens, thus subjects could score between 0 and 16 points.
The final “TDI score” was the sum of scores for Threshold, Discrimination and Identification subtests, with a range between 1 and 48 points.
Publication 2018
Butyl Alcohol Discrimination, Psychology Feelings Females Hypersensitivity Males Nose Odorants Odors Phenylethyl Alcohol Propylene Glycol Sense of Smell Solvents Triplets

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Publication 2008
Calcium Capillaries cis-vaccenyl acetate ethyl caproate Forceps isobutylene Kidney Glomerulus Lip Microscopy Nervousness Odorants Odors Oil, Mineral Phenylethyl Alcohol Poaceae Pulses Reading Frames Sense of Smell Stimulations, Electric Strains Student Suction Drainage

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Publication 2008
Animals Biological Assay Hyperostosis, Diffuse Idiopathic Skeletal Larva Odorants Odors paraffin oils Sepharose Strains Technique, Dilution
For an initial assessment of the two assembled beetle antennal transcriptomes, gene ontology (GO) annotation was performed using Blast2GO [59 (link),60 (link)]. Blast2GO annotation associates genes or transcripts with GO terms using hierarchical vocabularies. Genes are described in terms related to molecular function, biological process, or cellular component, allowing for meta-analyses of gene populations [27 (link),61 (link)].
The BLAST step was performed with a lenient E-value cutoff at 0.1 to account for the high sequence variability among the olfactory gene families. The mapping step was done using default settings, whereas a lenient E-value (0.1) and lower annotation cut-off (55) and GO-weight (5) were used in the first annotation step to increase the proportion of annotated transcripts. Annotation was further enhanced by merging annotation with results of InterProScan database search at the EBI [62 (link)], ANNEX procedure, and the Blast2GO validation step. A subsequent GO-slim step was not used, as this procedure removed the low frequency odorant protein families from the annotation.
For annotation of ORs, IRs, GRs, OBPs, CSPs, and SNMPs in I. typographus and D. ponderosae, contigs were analyzed with tBLASTx searches against custom-made databases and the non-redundant nucleotide collection at NCBI. Additionally, HMM-based searches of the PANTHER database of domain family profiles were done. We identified non-redundant translated proteins with reciprocal BLAST using the comprehensive datasets available for OBPs and CSPs [42 (link)], as well as SNMPs [52 (link)].
For contigs/isotigs with hits against genes of interest, open reading frames were identified and the annotation verified by additional BLAST (http://blast.ncbi.nlm.nih.gov/Blast.cgi) searches. Contigs containing suspected sequencing errors (mainly insertions/deletions in homopolymer regions) were edited manually after identifying miss-assemblies through manual inspection of the assembly files, ESTs, or genomic data (D. ponderosae) [63 ]. The suffix “FIX” was added to the gene name of such edited sequences, and also to those extended by RACE-PCR (below).
TMHMM 2.0 (http://www.cbs.dtu.dk/services/TMHMM/) was used to predict transmembrane domains of candidate ORs, IRs, and GRs. For all proteins studied, amino acid sequences were aligned using MAFFT [64 (link)], and maximum-likelihood analysis and dendrogram construction were subsequently performed with FastTree [65 (link)]. Dendrograms were colored and arranged in FigTree (http://tree.bio.ed.ac.uk/software/figtree/). To ensure that sequences corresponded to unigenes (and not to fragments of the same gene), only those that showed sufficient overlap in multiple sequence alignments were included in the analysis. In addition, for contigs that shared >98.5% amino acid identity only one “copy” (the contig with the longest ORF) was included. I. typographus 454- and Illumina sequences have been submitted to EBI (project accession number ERP001792). The D. ponderosae antennal Sanger and 454 sequence data have previously been submitted to NCBI (accession numbers GT344964-GT358252 and SRX132062, respectively). All bark beetle contigs/isotigs have been submitted to the Transcriptome Shotgun Assembly (TSA) sequence database at NCBI (accession numbers GACR00000000 and GABX00000000 for I. typographus and D. ponderosae, respectively) or to GenBank (D. ponderosae genes with representative full-length cDNA clones) (see Additional file 1 for accession numbers for the individual olfactory genes).
Publication 2013
Amino Acids Amino Acid Sequence Beetles Biological Processes Cellular Structures Clone Cells Cortex, Cerebral Diet, Protein-Restricted DNA, Complementary Expressed Sequence Tags Gene Annotation Genes Genome INDEL Mutation Nucleotides Odorants Open Reading Frames Proteins Sense of Smell Sequence Alignment Transcriptome Trees

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Publication 2008
Fear Fear of disease Mice, House Mice, Inbred C57BL Odorants Retention (Psychology) Shock

Most recents protocols related to «Odorants»

Gas emission was estimated according
to eq 1, where E is the emission rate (g h–1), M is the molar mass (g mol–1), Cout is the concentration (atm) measured in the
air outlet from the sections, Cin is the
concentration (atm) measured in the air inlet for the sections, Q is the ventilation rate (m3 h–1), R is the gas constant (m3·atm·K–1·mol–1), and T is the temperature (K).
Odor was assessed as
the odorant concentration and estimated as the sum of odor activity
values (SOAV) for hydrogen sulfide and the eight VOCs according to eq 2 in which SOAV is calculated
as the concentration measured by PTR-MS divided by the odor threshold
value (OTV, units of ppbv) for each of the nine odorants.
Odor
emission was estimated according to eq 3, where Eodor is
the emission (SOAV s–1), SOAV is the sum of odor
activity values expressed per m3 (SOAV m–3), and Q is the ventilation rate (m3 h–1).
Enteric
methane emission was calculated on a daily basis according
to eq 4,10 where ECH4 enteric (g
pig–1 d–1) is the enteric methane
emission, GE is the gross energy consumption (MJ d–1 pig–1), Ym is the
fraction of gross energy intake being converted to methane (%), n is the number of pigs in the section, and 0.005565 is
the energy content of methane (MJ g–1).
Ym was set to 0.24% based on an average
of four studies.19 (link)−22 (link) Slurry methane emission was estimated by subtracting enteric methane
emission from eq 4 from
the measured total methane emission.
Enteric carbon dioxide
emission, ECO2 enteric (g pig–1 d–1), was calculated
using the empirical relationship in eq 5,23 (link) where BW is the pig
body weight (kg). The constants in eq 5 were derived from fitting to multiple datasets.23 (link)
The average daily body
weight of pigs was calculated by linear
interpolation between in and outgoing weights of the pigs. Linear
growth is a realistic assumption for pigs that are between 100 and
200 days old (as in this study).24 (link)
Publication 2023
Body Weight Carbon Hydrogen Sulfide Methane Molar Odorants Odors Pigs Respiratory Rate
To confirm the aversiveness of punctate heat stimulation of the hindpaw in
inflammatory pain model rats, a RTPA paradigm was used. The experimental setup
was kept as similar as possible to that of the HET. Importantly, the same
behavioural arena and heat probe were used, as well as a similar time course,
consisting of 3 daily sessions (habituation, baseline, and test). The arena was
divided into two “compartments”, that were distinguishable by markings on the
walls (Figure 1(e)) as
well as odorants used to clean the mesh floor (30% ethanol or 1% acetic acid).
There was no physical barrier between compartments. Rats were placed in the
middle of the behavioural arena, and allowed to explore freely. For each
session, the compartment that was occupied at the end of the first 5 min was
designated “the left paw compartment”. During the next 15 min, the punctate heat
probe, set to 45.4°C, was used to stimulate either the left or right hindpaw
with 30 s inter-stimulus intervals, depending on the location of the animal
(left/right paw compartment). Each stimulus was delivered for a maximum of 5 s,
or until withdrawal or escape were observed. The percent of time spent in the
left paw compartment during the last 10 min of each session is reported. When
testing the effects of systemic morphine in the RTPA paradigm (see below),
locomotion was also assessed by calculating the number of crossings between the
two compartments per minute during the last 10 min of each session.
Publication 2023
Acetic Acid Alteplase Animals Ethanol Locomotion Morphine Odorants Pain Rattus
All odours were obtained from Sigma-Aldrich (98–99.9% purity) and were stored at 4 °C. They were diluted in mineral oil at the start of the experimental period and kept for the whole length of the behavioural experiment. When not in use these odours were sealed and stored at room temperature. The main component of the sting alarm pheromone, isoamyl acetate (IAA) was diluted to 10–1 (vol/vol) as in previous studies19 (link),59 (link). The concentrations of 10–3 and 10–6 were chosen for geosmin as these were shown to elicit behavioural responses in fruit flies8 (link) and mosquitoes10 (link).
The odours were delivered at room temperature (24 °C) by placing a filter paper soaked with 10 μl of odorant solution into an airflow that was injected via 3 equally spaced channels horizontally into the testing arena (Fig. 1a). The odours were removed from the arena via 40 equally spaced holes in the upper lid. The flow remained on during the whole duration of the trial (3 min). For testing interactions between 2 odours, 2 filter papers each carrying one of the odours were placed into the airflow. The incoming odour flow is controlled via a photoionization detector (200B miniPID, aurora scientific). However, this allows to resolve only the highest odour concentrations and serves to ensure the reproducibility of the conditions between experimental sessions. In the arena, the turbulent air motion inside unavoidably causes concentration fluctuations in space and time.
Publication 2023
Fruit geosmin isoamyl acetate Odorants Odors Oil, Mineral Pheromone
The olfactometer used to deliver odours under the two-photon microscope was the same one used in the EAG experiment. During an imaging session, the odorants of interest (Geosmin 10–6, Geosmin 10–3, and 10–1 IAA) were presented to the bee in a sequence either as a single odour or as mixtures, and the sequence was repeated 10 times. Each stimulus pulse lasted 3 s with a 12 s inter-stimulus interval and an exhaust system quickly removes the odours from the experimental area. For comparison of response strength and width also 3 floral odours were tested with the same sequences (1-nonanol 5·10–3, acetophenone 5·10–3, and 3-hexanol 5·10–3).
Publication 2023
1-nonanol acetophenone geosmin Hexanols Microscopy Odorants Odors Pulse Rate
Chemotaxis plates were prepared similarly to the magnetotaxis plates, with a strong odorant replacing the neodymium magnets. To attract the worms, 1 µl of 0.5% aqueous diacetyl solution (Acros Organics #107650050; T - taxis) was added to one circle and 1 µl of ddH2O to the other circle (C - control). The excess M9 buffer was carefully removed with a small piece of filter paper to allow the worms to crawl on the agar surface. The plates were placed in styrofoam boxes to ensure a constant temperature and darkness and left for 30 min until counting. After allowing the animals to migrate for 30 min, the paralyzed worms were counted manually by a blinded experimenter as in the magnetotaxis assays.
Publication 2023
Agar Animals Biological Assay Buffers Chemotaxis Darkness Diacetyl Helminths Neodymium Odorants styrofoam Taxis Response

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Odorants are a type of laboratory equipment designed to generate and control the release of specific scent compounds for various applications. They provide a controlled and consistent method for producing desired odors, which can be useful in areas such as sensory analysis, odor detection, and olfactory research.
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Isoamyl acetate is a colorless, volatile liquid with a distinctive banana-like aroma. It is commonly used as a flavoring agent and in the production of various solvents and chemicals.
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Paraffin oil is a clear, odorless, and colorless liquid derived from petroleum. It is commonly used in various laboratory applications as a lubricant, sealant, and heat transfer medium.
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Mineral oil is a clear, odorless, and colorless liquid derived from petroleum. It is commonly used as a lubricant, solvent, and base for various personal care and pharmaceutical products.
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More about "Odorants"

Odorants, also known as fragrances or aromas, are chemical compounds that can stimulate the olfactory system, producing a sensory experience of smell.
These compounds are found in a variety of natural and synthetic sources and play a crucial role in numerous industries, such as food, cosmetics, and pharmaceuticals.
Odorants interact with olfactory receptors located in the nasal cavity, triggering neural signals that are interpreted by the brain as specific scents.
Identifying and characterizing these odorants is an important aspect of research in fields like sensory science, analytical chemistry, and product development.
One common odorant is isoamyl acetate, which has a banana-like aroma and is often used in food and fragrance applications.
Paraffin oil and mineral oil are also used as carriers or solvents for odorants in various products.
Analytical techniques like GC-MS (gas chromatography-mass spectrometry) and MATLAB software can be employed to study and quantify odorant compounds.
Portable odorant detection devices, such as the MiniPID (photoionization detector), can be used to measure the presence and concentration of odorants in real-world settings.
Other odorants like ethyl butyrate, with its sweet, fruity scent, and DMSO (dimethyl sulfoxide), with its distinctive odor, are also widely used in research and industry.
Maintaining a comprehensive understanding of odorants and their properties is crucial for product formulation, quality control, and sensory evaluation.
Tools like PubCompare.ai can enhance research accuracy and reproducibility by helping researchers identify the most suitable odorants and protocols for their needs, even with a human-like typo.