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Wheat

Wheat is a cereal grain that is a staple food for a large portion of the world's population.
It is a member of the grass family and is cultivated extensively for its edible seeds, which are used to make flour, bread, pasta, and other food products.
Wheat is a versatile crop that can be grown in a variety of climates and soils, and it is an important source of carbohydrates, protein, fiber, and other nutrients.
Reseachers are constantly striving to improve wheat yields, quality, and resilience through advanced techniques like AI-driven protocol comparison.
Tools like PubCompare.ai can help optimize wheat research by locating the best protocols from literature, pre-prints, and patents, and enhancing reproducibility and accuaracy.

Most cited protocols related to «Wheat»

The touchscreen questionnaire used in the main study contained twenty-nine questions about diet and eighteen questions about alcohol. The touchscreen questionnaire asked about the frequency of consumption over the past year of the following food groups: cooked vegetables, salad/raw vegetables, fresh fruit, dried fruit, oily fish, other fish, processed meats, poultry, beef, lamb, pork, cheese, salt added to food, tea, water, as well as questions on the type of milk most commonly consumed, type of spread most commonly consumed, number of slices and type of bread most commonly consumed, number of bowls and type of breakfast cereal most commonly consumed, cups of coffee and type most commonly consumed, as well as questions on the avoidance of specific foods and food groups (eggs, dairy products, wheat, sugar), age last ate meat (for participants who reported never consuming processed meats, poultry, beef, lamb or pork), temperature preference of hot drinks, changes in diet in the past 5 years, and variation in diet. Four of the dietary questions used in the pilot study were altered slightly for the main phase: these were the questions on avoiding specific foods and food groups; spread type; bread type; and variation in diet. A total of 3776 participants completed only the pilot version of the touchscreen; for analyses on these questions the participants answering only the pilot version were excluded. Details of the possible answers for each dietary touchscreen question are given in the Supplementary Methods(6 ,7 ). We also generated a partial fibre score from the touchscreen questionnaire using the questions on fresh fruit, dried fruit, raw vegetables, cooked vegetables, bread type and bread intake, and breakfast cereal type and breakfast cereal intake. Further detail on how we generated the partial score is given in the Supplementary Methods and Supplementary Table S1.
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Publication 2018
A Fibers Beef Bread Carbohydrates Cereals Cheese Coffee Dairy Products Diet Dietary Modification Eggs Ethanol Fishes Food Fowls, Domestic Fruit Hot Temperature liposomal amphotericin B Meat Milk, Cow's Oils Pork Salads Sodium Chloride, Dietary Vegetables Wheat
To evaluate gastric emptying parameters, our established scintigraphic method was used (6 (link)–8 (link)). After an overnight fast, subjects ingested a 99mTc-labeled meal consisting of 2 scrambled eggs, one slice of whole wheat bread and one glass of skim milk. Using a gamma camera, abdominal images with anterior and posterior cameras of 2 minutes duration were acquired immediately following ingestion of the radiolabeled meal and at specified time points during the subsequent 4-hour period, typically every 15 minutes during the first 2 hours and every 30 minutes during the subsequent 2 hours. No participants were taking any medications (prescription or over-the-counter for the week prior to and during the testing of gastric emptying.
Publication 2012
Abdomen Bread Drugs, Non-Prescription Eggs Gamma Cameras Milk, Cow's Pharmaceutical Preparations Radionuclide Imaging Wheat
All phenotype derivation and genomic analysis was conducted on a homogenous population of individuals of European (EUR) ancestry (N = 455,146), as determined by: (1) projection on to 1KGP phase 3 PCA space, (2) outlier detection to identify the largest cluster of individuals using Aberrant R package46 (link), selecting the λ in which all clustered individuals fell within 1KGP EUR PC1 and PC2 limits (λ = 4.5), (3) removed individuals who did not self-report as “British,” “Irish,” “Any other white background,” “White,” “Do not know,” or “Prefer not to answer,” as self-identified non-EUR ancestry could confound dietary habits.
Prior to phenotype derivation, we removed individuals who were pregnant, had kidney disease as defined by ICD10 codes, or a cancer diagnosis within the last year (field 40005). The UKB FFQ consists of quantitative continuous variables (i.e., field 1289, tablespoons of cooked vegetables per day), ordinal non-quantitative variables depending on overall daily/weekly frequency (i.e., field 1329, overall oily fish intake), food types (i.e., milk, spread, bread, cereal, or coffee), or foods never eaten (field 6144, dairy, eggs, sugar, and wheat). Supplementary Data 1 provides a list of UKB fields relating to the corresponding FFQ question for each dietary habit, which can be looked up in the UKB Data Showcase (http://biobank.ndph.ox.ac.uk/showcase/). Ordinal variables were ranked and set to quantitative values, while food types or foods never eaten were converted into a series of binary variables. Variables relating to alcoholic drinks per month were derived from a conglomeration of drinks per month and drinks per week questions answered by different individuals depending on their response to overall alcohol frequency (field 1558). All 85 single FI dietary phenotypes were then adjusted for age in months and sex, followed by inverse rank normal transformation on continuous FI-QTs. For individuals with repeated FFQ responses, both the dietary variable and the age in months covariate were averaged over all repeated measures. PCs were then derived from all 85 FI-QTs after filling in missing data with the median using the prcomp base function in R. FI-QTs with percent contribution (squared coordinates) greater than expected under a uniform distribution [1/85 × 100 = 1.18%] were included in Fig. 1 and Supplementary Fig. 4, created using ComplexHeatmap package in R47 (link). Phenotype correlation between all 170 dietary habits was estimated using Pearson’s pair-wise correlation on complete observations in R. All correlations (phenotypic and genetic) with P > 0.05/85 were set to 0. The significance threshold here was selected based on a Bonferroni correction for 85 total FI-QTs to maintain stringency for multiple testing and consistency across phenotype and genetic correlation analyses, while allowing for the nested and non-independent nature of the FFQ questions and derived FI-QTs.
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Publication 2020
Alcoholic Beverages Alcohols Bread Carbohydrates Cereals Coffee Diagnosis Diet Eating Eggs Europeans Fishes Food Genome Homozygote Kidney Diseases Malignant Neoplasms Milk, Cow's Oils Phenotype Reproduction Vegetables Wheat
Dietary assessment is based on a combination of three consecutive 24 h recall at the individual level, and a food inventory taken at the household level over the same three day period. Combination of consecutive three-day 24 h recall and household food inventory can improve the accuracy of recall [19 ]. Household food consumption was determined by weighing all food consumed by the household over three consecutive randomly selected days. The three consecutive days during which detailed household food consumption data have been collected were randomly allocated from Monday to Sunday and are almost equally balanced across the seven days of the week for each sampling unit. Household food consumption was determined by examining changes in inventory from the beginning to the end of each day, in combination with a weighing and measuring technique. All foods remaining after the last meal before initiation of the survey was weighed and recorded. All purchases as well as home production foods were recorded. Wasted food was estimated when weighing was not possible. At the end of the survey, all remaining food was again weighed and recorded.
To collect individual dietary data, each household member was asked to report all food consumed over the previous 24 h for each of the three days, whether at home or away from home. Interviewers recorded the types and amounts of food consumed at each meal during the previous day. The amount of food in each dish was estimated from the household inventory and the proportion of each dish consumed was reported by each person. Household food inventory was used to collect information of household level food intake and to further estimate the individual salt and oil intake. Extreme dietary data is based on the judgment of the interviewers. For example, if a person reported an intake of 2 kg of rice a day, this was regarded as extreme. Detailed dietary data collection is described elsewhere [14 (link),17 ]. As the present study does not include calculation of salt and oil intake, we used data of 24 h recall over three consecutive days at the individual level for the analysis. The three-day recall method used in this study has a high correlation with the household food inventory method for each food group (e.g., correlation coefficient was 0.84 for rice, 0.84 for wheat) [19 ].
The food groups included were based on a food system developed specifically for CHNS and Chinese Food Composition Table [20 (link)]. Initially, 33 food groups were included. As some food items were consumed by less than 5% of participants, food intakes were further collapsed into 27 food groups based on similarity of nutritional profiles. The 27 food groups are: rice; wheat flour and wheat noodles; wheat buns and bread; corn and coarse grains; deep-fried wheat; starchy roots and tubers; pork; red meat; organ meat; processed meats; poultry and game; fish and seafood; milk; eggs and egg products; fresh legumes; legume products; dried legumes; fresh vegetables, non-leafy; fresh vegetables, leafy; pickled, salted or canned vegetables; dried vegetables; cakes; fruits; nuts and seeds; beer; liquor and fast food.
Mean consumption of each food group per day was calculated from dietary data, as liang (Chinese ounce, 1 liang = 50 g). Mean consumption of alcoholic beverages, soft drink, and tea was calculated from questionnaire responses. Respondents were asked “do you drink any kind of alcoholic beverage (beer or liquor)?”, and were asked further questions on drinking frequency, types and quantity consumed in a week. Also, participants were asked “do you normally drink tea?” and “do you drink soft drinks or sugared fruit drinks?” Further questions on drinking frequency and number of cups consumed per day (a cup is approximately 240 mL) were asked. Energy intake was calculated by CHNS based on Chinese Food Composition Table [21 ].
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Publication 2015
Alcoholic Beverages Amniotic Fluid Beer Bread Cereals Chinese Diet Digestive System Eating Fabaceae Fast Foods Fishes Flour Food Fowls, Domestic Fruit Households Hyperostosis, Diffuse Idiopathic Skeletal Interviewers Maize Meat Mental Recall Milk, Cow's Nuts Oryza sativa Plant Embryos Plant Leaves Plant Roots Plant Tubers Pork Red Meat Seafood Sodium Chloride, Dietary Soft Drinks Starch Vegetables Wheat
Adult male, Long Evans black-hooded rats (mean weight of 300 grams) were
first trained and tested on the skilled forelimb reaching task (Figure 1A) as previously described.7 (link) This task requires fine digit movement and intact
motor and sensory neural pathways.10 Animals that successfully retrieved 15 out of 20 pellets during
3 consecutive training sessions received permanent middle cerebral artery occlusion
to impair the preferred forelimb as described.7 (link) After middle cerebral artery occlusion, animals continued to
use their impaired forelimb to reach, despite showing deficits in performing the
task. To reduce possible effects of rehabilitation through daily testing, animals
were tested Monday through Friday for the first week after stroke and once per week
until time of treatment, ie, 9 weeks after stroke. Any animal that improved
spontaneously to retrieve >10 pellets in any testing session before the
9-week treatment point was removed from the study.
Nine weeks after stroke, animals received the purified monoclonal function
blocking mouse anti-Nogo-A antibody 11C711 (n=6), an inactive control Ab
(IgG1 against wheat auxin; n=4), or no treatment (n=5). Antibody was delivered for 2
weeks using the intracerebroventricular route through an osmotic minipump (2ML2;
Alzet) as described.8 (link)After a 9-week period of behavioral testing after treatment, the
neuroanatomical tracer, biotin dextran amine (BDA), was injected into the forelimb
motor cortex contralateral to the stroke lesion as described.4 (link) Two weeks after BDA injection,
animals were perfused, brains were removed, cryosectioned, and processed for
BDA-positive crossing corticorubral fibers as described,4 (link) and stroke lesion analysis was performed using the
method of Kawamata et al.12 Because behavioral testing showed no difference between stroke only and
stroke/control Ab animals (see Results), data from these 2 groups of animals were
pooled for BDA-positive fiber analysis.
Personnel performing behavioral testing or histological analyses were
blinded to the treatments. For behavioral analysis, a repeated-measures ANOVA was
used to compare the rate of improvement on the skilled forelimb reaching task and a
1-way ANOVA with Tukey post hoc analysis was used to compare the mean success
scores. Midline crossing corticorubral fibers were analyzed using a Student
t test. Stroke lesion size was analyzed using a 1-way
ANOVA.
Publication 2010
Adult Animals Auxins biotinylated dextran amine Brain Cerebrovascular Accident Cortex, Cerebral Fibrosis Fingers IgG1 Immunoglobulins Males Mice, House Middle Cerebral Artery Middle Cerebral Artery Occlusion Movement Neural Pathways neuro-oncological ventral antigen 2, human Osmosis Pellets, Drug Rats, Long-Evans Rehabilitation Upper Extremity Wheat

Most recents protocols related to «Wheat»

Example 22

Pasta was made from pasta dough comprising the following ingredients:

Composite Wheat-MCT flour1 cup
(plus more for rolling out the noodles)
Fine Sea Salt½ teaspoon
Egg1 large

The pasta dough was mixed, kneaded and pressed through a pasta maker according to the recipe and formed into individual pasta noodles. The pasta noodles were placed into boiling water and cooked according to the recipe until soft and tender but not sticky. The pasta was comparable or superior in quality and taste compared to pasta made using traditional all-purpose or cake flour and had superior nutritional profile. The pasta had superior texture compared to conventional pasta made using all-purpose flour instead of the composite wheat-MCT flour.

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Patent 2024
Flour Food MCTS1 protein, human Pastes Plants Sodium Chloride Taste Wheat

Example 19

Muffins were made from muffin dough comprising the following ingredients:

Composite Wheat-MCT flourcups
Sugarcup
Egg1
Milk¾ cup
Cooking Oil¾ cup
Baking Powder2teaspoons
Salt¼teaspoon

The muffins were made in a muffin baking pan containing wells into which muffin dough in muffin cups were placed and baked at ordinary temperature and time in an oven according to the recipe. The muffins were comparable or superior in quality and taste compared to muffins made using traditional all-purpose or cake flour and have superior nutrition profile. The muffins were lighter, fluffier and more moist compared to conventional muffins made using all-purpose flour instead of the composite wheat-MCT flour.

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Patent 2024
baking powder Carbohydrates egg-oil Flour Food Light MCTS1 protein, human Milk, Cow's Plants Sodium Chloride Taste Wheat
There were three strains of gibel carp in the present study, and they were all from the hatchery of the Institute of Hydrobiology, the Chinese Academy of Sciences, Wuhan, Hubei, China. Before the formal trial, a prefeeding period was conducted for 4 weeks to acclimate to the feed and rearing conditions. Then, three strains of the experimental fish were pooled after 24 h starvation. Fish of each strain with the similar weight (3.02 ± 0.82 g) were selected, weighted, and distributed into round fiberglass tanks at the density as 30 fish per tank. Each strain had 9 tanks, respectively, fed by cornstarch (CS) diet, wheat starch (WS) diet, and wheat flour (WF) diet in triplicate, and there were 27 tanks in total (3 strains 3 diets 3 duplication). The fish were fed to apparent satiation twice a day at 08 : 30 am and 14 : 30 pm and reared in the circulating water system: water volume of each tank was 300 L; diameter of tank was 100 cm; water flow rate was 1.8 L min−1; water temperature was 25.5 ± 1.5°C; light intensity was approximately 3 μmol m−2 s−1 at the water surface; light period was from 08 : 00 am to 20 : 00 pm; water dissolved oxygen was more than 5 mg L−1; water ammonia nitrogen was less than 0.5 mg L−1; and water residual chloride was less than 0.01 mg L−1 (weekly monitored).
The feeding trial lasted for 8 weeks. Then, all fish in each tank were weighed after 24 h of food deprivation, and 4 fish per tank were randomly sampled and frozen at -20°C for whole-body composition analysis. The rest of the fish continued refeeding for one more week; 3 fish/tank were randomly sampled at 6 h after the last meal. They were anesthetized by MS-222 (100 mg L−1 tricaine methane sulfonate, Argent Chemical Laboratories Inc., Redmond, WA, USA). After that, blood was collected and then centrifuged at 3000 g, 4°C, 15 min, to obtain the plasma; fresh liver, middle intestine, and muscle (biopsies) of the fish were separated on the ice, immediately frozen in liquid nitrogen, and then kept at -80°C for further analysis.
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Publication 2023
Ammonia Biopsy Blood Body Composition Chinese Chlorides Cornstarch Cyprinus carpio Diet Fishes Freezing Hypomenorrhea Intestines Laboratory Chemicals Light Liver methanesulfonate MS-222 Muscle Tissue Nitrogen Oxygen Plasma Satiation Starch Strains tricaine Wheat Wheat Flour
Seventy-five fungal strains (Table 1) were used from the Culture Collection of Fungal Research Laboratory, Faculty of Biology, Alexandru Ioan Cuza University of Iasi, previously isolated using dikaryotic mycelium from fruit bodies and characterized [48 ,49 ]. All the analytical grade reagents for preparation of the culture media were purchased from Merck (Darmstadt, Germany). Wheat bran was purchased from a local food shop, sawdust (spruce sawdust) from a timber factory, wheat straw from a local farm and coconut husk fibers from a pet shop.
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Publication 2023
Coconut Culture Media Faculty Food Fruit Human Body Mycelium Picea Strains Wheat Wheat Bran
The experiment was carried out in the laboratory of Dalian University of Technology (40°41′20.26″ N, 122°7′15.17″ E) in September–October 2021 at 22–26 °C ambient temperatures and approximately 12 daytime hours. The BSF eggs were hatched in a substrate containing soybean meal, corn meal, and wheat bran in a 6:3:1 ratio with 70% moisture content for 6–8 d. The emerging larvae were sieved out and weighed 0.0591 g per 100 individuals. The food waste was fully mixed by a kitchen blender and split into transparent plastic boxes. Each box was filled with 200 g of food waste, 20 g of wheat brain, and 480 larval individuals (0.2837 g). The boxes were 1250 mL in volume with several holds on the lids for passive aeration. A total of 30 parallel boxes were prepared. On Days 3, 5, 7, 9, 11, 13, 15, 17, 19, and 21, triplicate boxes were collected, and the larvae and frass were separated manually, weighted, and stored at −20 °C. Larval samples of all time points were subjected to the detection of body parameters and fatty acid properties. Frass samples of Days 7, 9, 11, 13, 15, and 17 were used for the determination of physiochemical properties.
Food waste components were further adjusted for analysis of carbohydrate effects on the larval bioconversion process. Three substrates were set as 100% food waste (FW100 CM0), 60% food waste and 40% corn meal (FW60 CM40), and 20% food waste and 80% corn meal (FW20 CM80). Percentages of each component were based on their wet weight. The FW100 CM0 group was the food waste treatment carried out above. The FW60 CM40 and FW20 CM80 groups were performed in the same manner as the experiments above, except that the waste components and sampling time points were adjusted. The food waste was still the university canteen waste, whereas the corn meal was prepared by mixing corn meal flour and water in a 3:7 ratio and cooking in a rice cooker for 0.5 h. When the substrates were mixed thoroughly, 21 parallel boxes were prepared for the FW60 CM40 and FW20 CM80 groups, respectively. The sampling time points were set as Days 3, 5, 7, 9,11, 13, and 15. At each time point, triplicate boxes were collected, and the larvae and frass were manually separated and weighted. The larvae were further analyzed for body FA contents and compositions, and the frass samples were further determined for the properties of reducing carbohydrates.
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Publication 2023
Brain Carbohydrates Corn Flour Eggs Fatty Acids Flour Food Human Body Larva Oryza sativa Soybean Flour Wheat Wheat Bran

Top products related to «Wheat»

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The ImmunoCAP is a laboratory instrument used for in vitro allergen-specific IgE testing. It provides quantitative measurement of IgE antibodies to a wide range of allergens. The ImmunoCAP system utilizes fluorescent enzyme immunoassay technology to detect and measure IgE levels in patient samples.
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Pepsin is a proteolytic enzyme produced by the chief cells in the stomach lining. It functions to break down proteins into smaller peptides during the digestive process.
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The ImmunoCAP system is a fully automated immunoassay analyzer used for the quantitative measurement of specific IgE antibodies in human serum or plasma. It provides accurate and reliable results for the in vitro diagnosis of allergic diseases.
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Trypsin is a serine protease enzyme that is commonly used in cell biology and biochemistry laboratories. Its primary function is to facilitate the dissociation and disaggregation of adherent cells, allowing for the passive release of cells from a surface or substrate. Trypsin is widely utilized in various cell culture applications, such as subculturing and passaging of adherent cell lines.
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Gliadin is a protein found in wheat. It is used in laboratory settings as a reference material for the identification and analysis of gluten proteins.
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Wheat gliadin is a laboratory product used for analytical purposes. It is a protein fraction extracted from wheat that is commonly used as a reference material or standard in various laboratory analyses.
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More about "Wheat"

Wheat, a member of the Poaceae family, is a cereal grain that serves as a staple food for a vast portion of the world's population.
This versatile crop can be cultivated in various climates and soil types, making it an important source of carbohydrates, protein, fiber, and other essential nutrients.
Researchers are constantly seeking to improve wheat yields, quality, and resilience through advanced techniques like AI-driven protocol comparison.
Tools like PubCompare.ai revolutionize wheat research by utilizing artificial intelligence to locate the best protocols from literature, pre-prints, and patents.
This optimizes wheat research by enhancing reproducibility and accuracy, ultimately contributing to the advancement of this crucial crop.
Wheat is often associated with other related terms and concepts, such as ImmunoCAP, Pepsin, ImmunoCAP system, Trypsin, Gliadin from wheat, ImmunoCAP Phadiatop Infant, Wheat gliadin, Phadiatop, and Phadiatop Combi®.
These terms and technologies play a role in the analysis, understanding, and management of wheat-related properties and interactions.
By leveraging the power of AI and comprehensive protocol comparison, researchers can unlock new insights and optimize their approaches to wheat research, ultimately benefiting the global population that relies on this versatile and essential cereal grain.