Sequence-based phylogenetic analysis showed that two E. coli isolates (isolates RL325/96 and Z205 from a dog and a parrot respectively) differed markedly from the remaining isolates (
Capsule
They typically consist of a gelatin or other polymer shell that holds the active ingredient.
Capsules provide a convenient and precise way to administer drugs, vitamins, or dietary supplements.
They can help protect the contents from environmental factors, mask unpleasant flavors, and facilitate swallowing.
Capsules come in a variety of sizes and shapes to suit different dosage requirements.
Researchers and healthcare providers utilize capsules to optimize drug delivery and improve patient compliance.
Most cited protocols related to «Capsule»
Sequence-based phylogenetic analysis showed that two E. coli isolates (isolates RL325/96 and Z205 from a dog and a parrot respectively) differed markedly from the remaining isolates (
Short-read–based RNA-seq data derived from tissues of Dominette were available in the GenBank database because her tissues have been a freely distributed resource for the research community. To complement and extend these data and to ensure that the tissues used for Iso-Seq were also represented by
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An Ultrasound Microphone (Avisoft UltraSoundGate condenser microphone capsule CM16, Avisoft Bioacoustics, Berlin, Germany) sensitive to frequencies of 10–180 kHz, recorded the pup vocalizations in the sound-attenuating chamber. The microphone was placed through a hole in the middle of the cover of the styrofoam sound-attenuating box, about 20 cm above the pup in its plastic container. The temperature of the room was maintained at 22±1°C. Vocalizations were recorded using Avisoft Recorder software (Version 3.2). Settings included sampling rate at 250 kHz; format 16 bit. For acoustical analysis, recordings were transferred to Avisoft SASLab Pro (Version 4.40) and a fast Fourier transformation (FFT) was conducted. Spectrograms were generated with an FFT-length of 1024 points and a time window overlap of 75% (100% Frame, Hamming window). The spectrogram was produced at a frequency resolution of 488 Hz and a time resolution of 1 ms. A lower cut-off frequency of 15 kHz was used to reduce background noise outside the relevant frequency band to 0 dB. Call detection was provided by an automatic threshold-based algorithm and a hold-time mechanism (hold time: 0.01 s). An experienced user checked the accuracy of call detection, and obtained a 100% concordance between automated and observational detection. Parameters analyzed for each test day included number of calls, duration of calls, qualitative and quantitative analyses of sound frequencies measured in terms of frequency and amplitude at the maximum of the spectrum.
Waveform patterns of calls were examined in depth in twenty sonograms collected from every strain, one from each of the pups tested. The sonograms were one minute in length and selected from recordings at postnatal day 8. We classified 3633 BTBR calls, 2333 B6 calls, 1806 129X1 calls and 2575 FVB/NJ calls. Each call was identified as one of 10 distinct categories, based on internal pitch changes, lengths and shapes, using previously published categorizations [21] (link), [22] (link), [24] (link). Classification of USVs included ten waveform patterns described below, and illustrated visually in
Inter-rater reliability in scoring the call categories was 98%. Call category data were subjected to two different analyses: a) strain-dependent effects on the frequency and duration of the vocalizations emitted by each subject at pnd 8 b) strain-dependent effects on the probability of producing calls from each of the ten categories of USV, as described below under Statistical analysis.
For training with non-virulent protein sequences, we selected 3000 annotated protein sequences of bacterial enzymes and other non-virulent proteins from SWISS-PROT database (these sequences are henceforth referred to as negative dataset). The negative dataset sequences were mainly chosen from the bacterial proteomes, the virulent protein sequences of which are included in the positive dataset.
Most recents protocols related to «Capsule»
Example 1
As a general procedure, shikonin or a composition comprising shikonin or a derivative thereof is formulated in capsules, optionally in combination with lecithin (phospholipids, comprising primarily phosphatidylcholine) (e.g., at a shikonin-to-lecithin weight ratio of about 1:1). The shikonin or derivative thereof may be substantially pure (from a synthetic or natural source) or a part of an extract of a plant, such as Lithospermum erythrorhizon, Arnebia euchroma or another member of the borage family.
Using the above general procedure, an extract of purple gromwell (Lithospermum erythrorhizon) root (zicao) was prepared using an appropriate solvent, followed by spray drying and sieving, to obtain a purple powder. 175 mg of the powdered purple gromwell extract, containing about 30% shikonin and/or derivatives thereof, was placed with an equal weight of lecithin (Lipoid® PS P 20×, obtained from Lipoid GmbH) in Capsugel® delayed release (DR) capsules.
As an alternative to capsules, a syrup was prepared comprising lecithin and shikonin (95% purity) at a 5:1 lecithin:shikonin ratio, 44% alcohol as solvent, and honey.
Based on literature reports, toxicity of shikonin is not expected at dosages of less than 8 grams per day.
Example 4
A male 58-year-old subject suffering from a migraine ingested a capsule comprising 1000 mg citric acid and a capsule comprising 1200 mg KNO3, 200 mg elemental magnesium, and 50 mg elemental zinc. Within 5 minutes of ingesting both capsules, the subject saw alleviation of migraine symptoms. 30 minutes after ingesting the capsules, the subject reported that the migraine symptoms had disappeared.
Example 13
Batch analytical data for Formula 21 was determined and recorded in Table 15. Results were recorded at time, T=0 and again at time, T=1 month at a temperature of 40° C. and 75% relative humidity (RH).
Example 1
Exemplary capsule shell and matrix compositions useful for producing Liquisoft capsules as described herein are shown in Table 4. Composition components are set forth by weight percentage of the total weight of the composition. Such compositions may be encapsulated using rotary die encapsulation as described herein.
Formulas 1 and 2 were the first shell formulations developed to achieve faster disintegration time and prevent crosslinking of the gelatin shell with matrix fill components.
Example 3
The pulverized vicagrel salt was placed with pregelatinized starch, lactose, and sodium carboxymethyl starch in a fluidized bed, fluidized mixing is started for 10 min, and 5% hydroxypropyl methylcellulose is prepared as a binder. At an air inlet temperature of 80° C., the binder was sprayed while maintaining a bed temperature at 40-50° C. The formed particles were dried for 30 min while the bed temperature was maintained at 50-60° C., and were discharged. Sodium stearyl fumarate was added and mixed for 5 min, and the particles were filled into capsules.
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More about "Capsule"
These versatile vessels typically consist of a shell made from gelatin or other polymers that enclose the active ingredient.
Capsules offer a convenient and precise way to administer drugs, providing protection from environmental factors, masking unpleasant flavors, and facilitating swallowing.
Researchers and healthcare providers utilize capsules to optimize drug delivery and improve patient compliance.
Beyond medications, capsules can also be used to encapsulate other substances, such as cell culture media (e.g., DMEM), extracellular matrix components (e.g., Matrigel), and analytical reagents (e.g., STZ, FBS, acetonitrile, methanol, formic acid).
The unique properties of capsules make them useful in a wide range of applications, from pharmaceutical formulations to cell culture and analytical procedures.
The size and shape of capsules can be tailored to suit different dosage requirements, allowing for customized delivery.
This versatility makes capsules a valuable tool in the fields of pharmacology, biotechnology, and beyond.
Whether you're exploring new drug delivery methods, optimizing cell culture protocols, or conducting analytical experiments, understanding the capabilities of capsules can help enhance the reproducibility and accuracy of your research.
By incorporating the insights gained from the MeSH term description and metadescription, you can leverage the power of capsules to propel your work forward.