Mosquitoes were sampled from three districts (Fig. 1 ): (a) Bungoma District in Western Province, which includes Sirisia, Chwele, Central and Kanduyi Divisions (00°35′ N, 34°35′ E; 1386 m a.s.l.); (b) Budalangi Division (00°06′ N, 33°58′ E; 1147 m a.s.l.) in Busia District, Western Province, and (c) Ahero Division (00°11′ S, 34°55′ E; 1155 m a.s.l.) in Nyando District, Nyanza Province. Previous studies in Bungoma indicated a mixture of An. gambiae s.s. and An. arabiensis with the former exhibiting high levels of phenotypic resistance to pyrethroid insecticides. Anopheles arabiensis was the predominant species in Budalangi and Ahero, and was largely susceptible to pyrethroid insecticides at all three sites (Mathias et al., 2011 (link)). The rural economy in Bungoma District is mainly agricultural and depends on the intensive production of tobacco, sugar cane, grain cereals including maize, bananas, onions and other vegetables by large and small landholders (Jaetzold et al., 2005 ). In Ahero and Budalangi, rice production predominates as a result of local topography, annual flooding regimes and the development of rice field irrigation schemes (Mambala, 2007 ; Thairu, 2010 ).
Onions
Onions are a widely cultivated vegetable that belongs to the Allium genus.
They are known for their pungent flavor and are commonly used in a variety of culinary dishes around the world.
Onions contain a variety of compounds, including sulfur-containing compounds that contribute to their distinctive aroma and flavor.
These compounds have been studied for their potential health benefits, such as their anti-inflammatory and antioxidant properties.
Onions are a good source of vitamins, minerals, and fiber, and are often included in healthy diets.
Reseachers continue to investigate the potential medical and nutritional benefits of onions, making them an important subject of scientific inquiry.
They are known for their pungent flavor and are commonly used in a variety of culinary dishes around the world.
Onions contain a variety of compounds, including sulfur-containing compounds that contribute to their distinctive aroma and flavor.
These compounds have been studied for their potential health benefits, such as their anti-inflammatory and antioxidant properties.
Onions are a good source of vitamins, minerals, and fiber, and are often included in healthy diets.
Reseachers continue to investigate the potential medical and nutritional benefits of onions, making them an important subject of scientific inquiry.
Most cited protocols related to «Onions»
Anopheles
Banana
Cereals
Culicidae
Insecticides
Maize
Onions
Oryza sativa
Phenotype
Pyrethroids
Saccharum
Tobacco Products
Vegetables
Corns
Freezing
Fruit
Immune Tolerance
Onions
Pesticide Residues
Pesticides
Retinoblastoma Protein
Strawberries
Vegetables
The dark-red onion (A. cepa L.) cultivar ‘Xiu Qiu’ (fourth generation inbred lines from the dark-red ‘Shanxi’ variety) and the white onion cultivar ‘Ring Master’(fourth generation inbred lines from the white ‘Xinjiang’ variety) were used in this study. We performed a series of genetic tests to confirm whether white onions were dominant or recessive; as the F1 color of (‘Xiu Qiu’ × ‘Ring master’) was pink, the genotype of the white parent was i/i, and the phenotypes of the F2 segregating population were white, yellow, pink, and dark-red (Supplementary Fig. S2 ).
Fresh, undamaged 7 cm diameter samples weighing between 280 g and 320 g were collected on the 40th day after swelling from a test field at the Beijing Academy of Agriculture and Forestry Vegetable Research Center (Fig.1a,b ). Samples were washed, excess water was absorbed with blotting paper, and lengths between 1 cm and 2 cm from the top and the bottom of each were excised with a scalpel. Outer onion bulb layers were then divided into three parts for experiments; all materials were immediately frozen in liquid nitrogen (N) and stored at −80 °C prior to RNA extraction and flavonoid analyses.
Fresh, undamaged 7 cm diameter samples weighing between 280 g and 320 g were collected on the 40th day after swelling from a test field at the Beijing Academy of Agriculture and Forestry Vegetable Research Center (Fig.
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Allium cepa
Flavonoids
Freezing
Genetic Testing
Genotype
Nitrogen
Onions
Parent
Phenotype
Plant Bulb
Vegetables
A list of all retail food stores and their postcodes in six council boundaries (Southampton, Eastleigh, Fareham, Gosport, Havant, Portsmouth) within Hampshire, UK, was compiled in July and August 2010. Store information was obtained from council Food Safety Registers and on-line business directories (yellow-pages and yell.com). Between July 2010 and June 2011 trained fieldworkers ‘ground-truthed’ the study area and collected data in 601 of the 606 retail food stores.
A consumer nutrition environment tool was designed to measure nine factors that can affect consumer’s food choices. Data on number of varieties, price, promotion, shelf placement and store placement were collected on seven healthy and five less healthy products. In addition, information on the type of nutrition information and availability of a healthier alternative were collected for less healthy products. The quality of two fruits and four vegetables and opportunity for single sale of the two fruits were also measured. Table
1 describes the definitions and measurement scales of the variables included in the tool. Information on fruit and vegetable quality was collected using a published quality indicator
[18 (link)]. Data on the remaining variables were collected using novel measures. The tool and survey protocol are available in the Additional file
1 . The median time taken to complete the survey across the 601 stores was 11 minutes (IQR: 7, 15).
The 12 food products were: peppers, tomatoes, lettuce, onions, apples, bananas, wholemeal bread, oven chips, sausages, crisps, sugar and white bread. Products were selected because they discriminate between better or poorer dietary patterns, are frequently consumed in England
[27 ] and could be measured in a large survey. The food products selected represent items from short and long food frequency questionnaires (FFQ) used to determine differences in dietary quality among a number of populations including young women, young children and older adults
[28 (link)-31 (link)]. These foods represent the UK Department of Health’s dietary recommendations and foods known to contribute to nutrition-related chronic diseases
[29 (link)].
The level of agreement between fieldworkers was assessed by the Kappa statistic on a sample of 14 stores (large supermarket (n = 2), discount supermarket (n = 1), small supermarket (n = 4), ‘world’ store (n = 1), convenience store (n = 5), petrol store (n = 1)). The relative consistency of price responses was assessed using the coefficient of variation: the standard deviation of difference divided by the mean (%). Cronbach’s alpha was used to assess the internal consistency of all nine components of the healthfulness score.
A consumer nutrition environment tool was designed to measure nine factors that can affect consumer’s food choices. Data on number of varieties, price, promotion, shelf placement and store placement were collected on seven healthy and five less healthy products. In addition, information on the type of nutrition information and availability of a healthier alternative were collected for less healthy products. The quality of two fruits and four vegetables and opportunity for single sale of the two fruits were also measured. Table
[18 (link)]. Data on the remaining variables were collected using novel measures. The tool and survey protocol are available in the Additional file
The 12 food products were: peppers, tomatoes, lettuce, onions, apples, bananas, wholemeal bread, oven chips, sausages, crisps, sugar and white bread. Products were selected because they discriminate between better or poorer dietary patterns, are frequently consumed in England
[27 ] and could be measured in a large survey. The food products selected represent items from short and long food frequency questionnaires (FFQ) used to determine differences in dietary quality among a number of populations including young women, young children and older adults
[28 (link)-31 (link)]. These foods represent the UK Department of Health’s dietary recommendations and foods known to contribute to nutrition-related chronic diseases
[29 (link)].
The level of agreement between fieldworkers was assessed by the Kappa statistic on a sample of 14 stores (large supermarket (n = 2), discount supermarket (n = 1), small supermarket (n = 4), ‘world’ store (n = 1), convenience store (n = 5), petrol store (n = 1)). The relative consistency of price responses was assessed using the coefficient of variation: the standard deviation of difference divided by the mean (%). Cronbach’s alpha was used to assess the internal consistency of all nine components of the healthfulness score.
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Aged
Banana
Bread
Carbohydrates
Child
Diet
Disease, Chronic
DNA Chips
Food
Fruit
Lactuca sativa
Onions
Piper nigrum
Population Group
Tomatoes
Vegetables
Woman
To visualize nuclei, the epidermis was stained with DAPI (5 µg/mL, sigma, USA). Materials were soaked in the dye liquid phosphate buffer solution (PBS) (pH 7.0; DAPI: PBS (v/v) = 1∶1000) and kept in darkness for 20 min. Pieces of onion epidermis were arranged on slides to make wet mounts, the made slides were observed and photographed in dark-field of fluorescence microscope (Olympus BX 61, Japan).
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Buffers
Cell Nucleus
DAPI
Darkness
Epidermis
Microscopy, Fluorescence
Onions
Phosphates
Most recents protocols related to «Onions»
We performed a secondary data analysis using the National Diet and Nutrition Survey (NDNS) nutrient database year 11 (2018/19)(15 –17 ). The NDNS nutrient databank contains compositional data from the nearly 6000 foods, drinks and prepared dishes available in the UK, including home-cooked and ready meals. Of these, we selected all main course meals, chilled or frozen, that needed to be heated prior to consumption, sold within a container, and had an equivalent home-cooked version in the NDNS nutrient database. As a result, we included fifty-four main courses with data on nutrient profile, and on frequency of consumption over 4 d, in 444 participants (Table 1 ).
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Ready meal dishes, and home-cooked equivalent dishes, including frequency of consumption, GHGE and cost per dish
Ready meals | Home-cooked equivalent meals | ||||||
---|---|---|---|---|---|---|---|
Food name | Frequency | GHGE | Cost | Food name | Frequency | GHGE | Cost |
Animal-based | |||||||
Beef and potato pie | 2 | 1543 | 0·51 | Beef and potato pie 2 crusts | 0 | 433 | 0·96 |
Beef stew and dumplings frozen or chilled ready meal | 1 | 1400 | 0·87 | Beef stew and dumplings | 0 | 390 | 0·56 |
Beef stir fry with green peppers and black bean sauce | 0 | 1280 | 1·36 | Beef stir fry | 0 | 1150 | 0·55 |
Minced beef pie purchased | 4 | 1200 | 0·62 | Minced beef pie top pastry | 0 | 706 | 0·96 |
Steak pie, short crust, purchased | 3 | 1200 | 0·84 | Steak pie pastry top only | 0 | 797 | 0·19 |
Cornish pasty purchased | 10 | 1200 | 0·44 | Cornish pasty homemade | 0 | 508 | 0·14 |
Corned beef pasty purchased | 0 | 1200 | 0·66 | Corned beef pasty | 0 | 508 | 0·14 |
Lamb bhuna purchased | 0 | 1180 | 1·00 | Lamb curry (no potatoes) with onions and curry pas | 0 | 1019 | 1·20 |
Tagliatelle carbonara ready meal | 1 | 1110 | 0·37 | Spaghetti carbonara | 0 | 431 | 0·74 |
Chilli con carne no rice ready meal | 0 | 1070 | 0·37 | Chilli con carne minced beef kid beans and tin tom | 2 | 433 | 0·16 |
Cottage pie, frozen/chilled beef | 4 | 1040 | 0·64 | Cottage pie | 0 | 285 | 0·22 |
Cottage pie, reduced fat, ready meal | 0 | 1040 | 0·28 | Cottage pie with lean minced beef, potatoes and butter | 0 | 285 | 0·22 |
Lasagne beef, ready meal | 5 | 1000 | 0·66 | Lasagne homemade | 1 | 497 | 0·24 |
Lasagne, reduced fat, ready meal | 1 | 1000 | 0·66 | Lasagne made with extra lean mince | 0 | 497 | 0·24 |
Beef curry frozen/chilled ready meal no rice | 1 | 900 | 0·25 | Beef curry with cream or coconut sauce | 0 | 242 | 0·32 |
Shepherd’s pie, lamb, ready meal | 0 | 880 | 0·65 | Shepherd’s pie homemade with minced lamb | 0 | 485 | 0·48 |
Beef hot pot with pots ready meal | 1 | 810 | 0·56 | Beef hot pot made with stewing steak carrots cab | 0 | 498 | 0·56 |
Moussaka ready meal chill/frozen/long life | 1 | 670 | 0·87 | Moussaka with aubergines homemade | 0 | 678 | 0·36 |
Chicken curry frozen chilled no rice | 3 | 670 | 0·2 | Chicken curry homemade | 6 | 553 | 0·62 |
Lamb hot pot with potatoes ready meal | 0 | 670 | 0·87 | Lamb hot pot | 0 | 590 | 0·48 |
Lemon chicken | 0 | 530 | 1·00 | Lemon chicken – chicken breasts in sauce | 1 | 463 | 1·25 |
Chicken chow mein ready meal | 3 | 530 | 0·70 | Chicken Chow Mein | 3 | 401 | 0·87 |
Quiche, meat-based, Quiche Lorraine not low fat | 12 | 491 | 0·58 | Quiche Lorraine not wholemeal | 0 | 611 | 0·52 |
Fishcakes, salmon, retail, coated in breadcrumbs, baked/grilled | 5 | 460 | 0·74 | Salmon fishcakes grilled | 0 | 209 | 1·20 |
Smoked haddock chowder, for example M&S | 0 | 460 | 0·44 | Fish and seafood chowder | 2 | 256 | 0·58 |
Tuna and pasta bake ready meal | 0 | 460 | 0·68 | Tuna and pasta bake | 0 | 498 | 0·39 |
Sweet and sour pork frozen ready meal no rice | 0 | 460 | 1·10 | Sweet and sour pork | 0 | 360 | 0·58 |
Chicken and sweetcorn soup | 1 | 410 | 0·21 | Chicken and veg soup with carrot potato and onion | 0 | 147 | 0·19 |
Chicken pie frozen/chilled individual two crusts | 7 | 400 | 0·37 | Chicken pie 2 crusts | 0 | 525 | 0·62 |
Chicken in white sauce ham mushroom and rice | 0 | 400 | 0·85 | Chicken and mushrooms in white wine sauce | 1 | 507 | 0·53 |
Chicken and pasta bake with broccoli, low fat | 0 | 400 | 0·68 | Chicken and broccoli pasta bake | 0 | 650 | 0·65 |
Chicken casserole chicken in tomato/gravy/sauce and vegetables | 0 | 400 | 0·62 | Chicken and vegetable casserole with olive oil | 0 | 345 | 0·23 |
Fisherman’s pie (white fish) retail | 2 | 400 | 0·5 | Fisherman’s pie (potato based) with cod and prawns | 0 | 265 | 0·96 |
Fisherman’s pie reduced calorie and fat retail | 0 | 400 | 0·5 | Fisherman’s pie with prawns and smoked haddock | 0 | 265 | 0·96 |
Tuna and red pepper fish cakes | 0 | 329 | 1·0 | Tuna and potato fish cakes | 0 | 215 | 0·21 |
Plant-based | |||||||
Macaroni cheese ready meal low fat | 4 | 1110 | 0·20 | Macaroni cheese semi skim milk and reduced fat spread | 1 | 407 | 0·25 |
Macaroni cheese purchased | 3 | 1110 | 0·22 | Macaroni cheese with butter and semi-skimmed milk | 0 | 407 | 0·25 |
Broccoli and stilton soup, premium, chilled carton | 0 | 1110 | 0·11 | Broccoli and cheese soup homemade | 0 | 203 | 0·18 |
Quiche, cheese and onion, purchased | 13 | 491 | 0·58 | Cheese and onion quiche homemade | 0 | 479 | 0·38 |
Cheese and vegetable quiche purchased | 1 | 491 | 0·57 | Cheese and tomato quiche | 1 | 476 | 0·38 |
Quiche, vegetable only, no cheese, purchased | 1 | 491 | 0·58 | Cauliflower and broccoli quiche | 0 | 658 | 0·38 |
Mushroom soup, premium, chilled, carton | 1 | 480 | 0·18 | Homemade mushroom soup | 0 | 107 | 0·18 |
Vegetable curry, ready meal, no rice | 0 | 280 | 0·66 | Vegetable curry | 3 | 123 | 0·29 |
Ross veg chow mein stir-fried in olive oil | 0 | 270 | 0·54 | Vegetable Chow Mein | 0 | 316 | 0·25 |
Vegetable lasagne purchased | 0 | 260 | 0·87 | Vegetable lasagne homemade | 1 | 241 | 0·32 |
Vegetable bake purchased ready meal | 0 | 260 | 0·37 | Vegetable bake with carrots, broccoli, potatoes and cheese sauce | 0 | 120 | 0·21 |
Cauliflower cheese: ready meal purchased standard | 2 | 220 | 0·67 | Cauliflower cheese (whole milk) | 0 | 279 | 0·20 |
Cauliflower cheese: healthy range ready meal purchased | 0 | 220 | 0·67 | Cauliflower cheese with butter and semi-skimmed milk | 0 | 279 | 0·20 |
Vegetable shepherd’s pie – purchased ready meal | 0 | 220 | 0·27 | Vegetable shepherd’s pie | 0 | 265 | 0·21 |
Spinach and potato curry purchased or takeaway | 1 | 180 | 0·66 | Spinach and potato curry with tomatoes and onion | 0 | 123 | 0·29 |
Vegetable soup carton | 6 | 150 | 0·18 | Soup vegetable | 0 | 56 | 0·21 |
Carrot and coriander soup, purchased | 2 | 150 | 0·12 | Carrot and onion soup homemade | 0 | 58 | 0·04 |
Cream of tomato soup, carton | 1 | 150 | 0·25 | Tomato soup with cream, homemade | 0 | 110 | 0·19 |
Ratatouille frozen purchased | 0 | 120 | 0·66 | Ratatouille homemade | 1 | 155 | 0·25 |
Frequency of consumption across all participant’s (n 444, NDNS 2018/2019) 4-d dietary recalls.
GHGE per 100 g of product up to supermarket shelf.
Cost per 100 g of product.
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Agaricales
Allium cepa
Animals
Aubergine
Beef
Bell Pepper
Breast
Broccoli
Butter
Carrots
Cheese
Chickens
Coconut
Coriandrum sativum
Daucus carota
Diet
Fishes
Food
Freezing
Hyperostosis, Diffuse Idiopathic Skeletal
liposomal amphotericin B
Meat
Mental Recall
Milk, Cow's
Nutrients
Olives
Onions
Pastes
Pork
Potato
Salmo salar
Seafood
SELL protein, human
Tomatoes
Vegetables
Vigna umbellata
Wine
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Allium cepa
Anabolism
Biopharmaceuticals
DNA, Complementary
Electrophoresis, Agar Gel
Genes
Genes, Housekeeping
Homologous Sequences
isolation
Medulla Oblongata
Nucleotides
Oligonucleotide Primers
Oligonucleotides
Onions
Plant Leaves
Plant Roots
Proteins
Real-Time Polymerase Chain Reaction
Reverse Transcriptase Polymerase Chain Reaction
Water Channel
Tomato (cv. Dongnong 708) seeds were obtained from Tomato Breeding Center, Northeast Agriculture University, Harbin, China. The bulbs of potato onion cultivars Suihua (S-potato onion) and Ningan Hongcheng (N-potato onion) were obtained from the Laboratory of Vegetables Physiological Ecology of the Northeast Agricultural University. The soil used was sandy loam soil collected from the soil upper layer (0-15 cm) of an open field in Horticulture Experimental Station, Northeast Agricultural University. The soil physicochemical properties were: organic matter, 22.32 mg kg-1; inorganic nitrogen, 86.95 mg kg-1; available phosphorous, 37.23 mg kg-1; available potassium, 102.42 mg kg-1; electrical conductivity (1:2.5, w/v), 163.38 µS cm-1; and pH (1:2.5, w/v), 6.68.
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Electric Conductivity
Nitrogen
Onions
Phosphorus
physiology
Plant Bulb
Plant Embryos
Potassium
Solanum tuberosum
Tomatoes
Vegetables
Polythene foam boxes (1, 36 × 25 × 22cm) containing 20 kg of soil each were used. At two cotyledons, tomato seedlings were transferred to experimental boxes (one seedling per box), and simultaneously potato onions were planted (three bulbs per box). There were five types of plantations, i.e., (i) tomato monoculture, (ii) S-potato onion monoculture (iii) N-potato onion monoculture (since the root distribution result of N-potato onion monoculture is very similar to S, the result of N-potato onion monoculture was not list), and tomato cocultured with (iv) S-potato onion and (v) N-potato onion (Figure 7 ). Each type of plantation had four boxes and was repeated three times. Boxes were placed randomly without any order and their placement was randomized once a week. Water was applied regularly to maintain 55 ± 5% of the water holding capacity. No fertilizers were applied and weeds were uprooted manually. After 20 days of tomato transplantation, tomato seedling root length density was measured.
Root length density was measured by the Monolith method (Li et al., 2006 (link); Wang et al., 2014 (link); Yu et al., 2017 (link)). The experimental boxes were cut horizontally and soil samples of the middle 5 cm thick soil layer were taken up to 20 cm of soil depth using an iron box (6 cm × 5 cm × 4 cm), and numbered according to the section sequence (six pieces horizontally and five pieces vertically; 30 pieces in total per box). Since the roots mixed together in the companion cropping system, the tomato and potato onion roots were distinguished by differences in color, smell, and fiber characteristics. For example, tomato roots are yellowish and hairy, whereas potato onion roots have a smooth surface with white coloration and some degree of transparency. The separated root fractions were then scanned with an image scanner analyzer (LA-S2400), yielding data from each soil core in terms of total root length. Root length density was calculated by combining root length and soil volume.
Root length density was measured by the Monolith method (Li et al., 2006 (link); Wang et al., 2014 (link); Yu et al., 2017 (link)). The experimental boxes were cut horizontally and soil samples of the middle 5 cm thick soil layer were taken up to 20 cm of soil depth using an iron box (6 cm × 5 cm × 4 cm), and numbered according to the section sequence (six pieces horizontally and five pieces vertically; 30 pieces in total per box). Since the roots mixed together in the companion cropping system, the tomato and potato onion roots were distinguished by differences in color, smell, and fiber characteristics. For example, tomato roots are yellowish and hairy, whereas potato onion roots have a smooth surface with white coloration and some degree of transparency. The separated root fractions were then scanned with an image scanner analyzer (LA-S2400), yielding data from each soil core in terms of total root length. Root length density was calculated by combining root length and soil volume.
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Allium cepa
Cotyledon
Fibrosis
Hair
Iron
Lycopersicon esculentum
Onions
Pets
Plant Bulb
Plant Roots
Plant Weeds
Polyethylene
Sense of Smell
Solanum tuberosum
Transplantation
The odor-collection method was adapted from previous studies on human body odor28 (link),29 (link),38 (link). Human axillary sweat odor was collected from 24 adult participants (6 males and 18 females) who volunteered to take part in the experiment. They were recruited through an e-mail sent to all personnel of our research facility (660 people). Participants were asked to abstain from consuming products known to influence body odors (i.e., chili pepper, spices, blue cheese, onion, garlic, cabbage, tobacco, and alcohol), abstain from use of deodorant, perfume or scented lotion, and to wash with a perfume-free soap provided by the experimenters for 2 days before their sweat was collected. The morning before participants donated their sweat, they were asked to wash their armpits with clear water only. Given the small number of participants, the menstrual cycle of females was not discriminated.
Each participant took part in two individual sessions separated by at least 24 h, during which they watched a 20-min video meant to provoke fear or joy. The clip selected for the fear condition was an excerpt from the movie Sinister39 (judged as the most frightening horror movie in 2020—https://www.broadbandchoices.co.uk/features/science-of-scare ). The clips selected for the joy condition were adapted from those used by de Groot et al.28 (link): “Bare Necessities” from The Jungle Book, Kurt Kuene’s short movie Validation, and the dance scene from the film The Intouchables. The order of the conditions was chosen randomly for each participant and counterbalanced among participants (half of participants watched the fear-inducing video first and the other half watched the joy-inducing video first).
Immediately before watching the video, participants were required to wash their armpits with wet unscented cotton pads and dry them with an unscented paper towel. Then, they placed under each armpit two cotton pads (7.5 × 7.5 cm, Euromedis, Neuilly-sous-Clermont, France) that had been previously folded together and secured them in place with unscented surgical tape. They wore a provided unscented cotton t-shirt that was previously washed without detergent and did not wear any other clothes over it. After each session, participants placed the cotton pads and t-shirts in airtight sealed bags, which were stored in a freezer at − 20 °C for a maximum of six weeks. Participants rated their extent of fear and joy while watching the videos on 7-point Likert scales28 (link).
Participants also indicated in a questionnaire whether they had thoroughly followed the dietary and hygienic instructions. The samples from nine participants had to be excluded from the experiment due to lack of compliance with the instructions. The samples from the remaining 15 participants were used as stimuli presented to horses.
Each participant took part in two individual sessions separated by at least 24 h, during which they watched a 20-min video meant to provoke fear or joy. The clip selected for the fear condition was an excerpt from the movie Sinister39 (judged as the most frightening horror movie in 2020—
Immediately before watching the video, participants were required to wash their armpits with wet unscented cotton pads and dry them with an unscented paper towel. Then, they placed under each armpit two cotton pads (7.5 × 7.5 cm, Euromedis, Neuilly-sous-Clermont, France) that had been previously folded together and secured them in place with unscented surgical tape. They wore a provided unscented cotton t-shirt that was previously washed without detergent and did not wear any other clothes over it. After each session, participants placed the cotton pads and t-shirts in airtight sealed bags, which were stored in a freezer at − 20 °C for a maximum of six weeks. Participants rated their extent of fear and joy while watching the videos on 7-point Likert scales28 (link).
Participants also indicated in a questionnaire whether they had thoroughly followed the dietary and hygienic instructions. The samples from nine participants had to be excluded from the experiment due to lack of compliance with the instructions. The samples from the remaining 15 participants were used as stimuli presented to horses.
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Adult
Axilla
Cabbage
Cheese
Clip
Deodorants
Detergents
Diet
Equus caballus
Ethanol
Fear
Fear of disease
Females
Garlic
Gossypium
Homo sapiens
Human Body
Males
Menstrual Cycle
Odors
Onions
Peppers, Chile
Spices
Surgical Tape
Sweat
Tobacco Products
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Ethanol is a clear, colorless liquid chemical compound commonly used in laboratory settings. It is a key component in various scientific applications, serving as a solvent, disinfectant, and fuel source. Ethanol has a molecular formula of C2H6O and a range of industrial and research uses.
More about "Onions"
Onions, a member of the Allium genus, are a widely cultivated and versatile vegetable prized for their pungent flavor and numerous health benefits.
These aromatic bulbs contain a variety of sulfur-containing compounds that contribute to their distinctive aroma and taste, as well as their potential anti-inflammatory and antioxidant properties.
Onions are a rich source of vitamins, minerals, and fiber, making them a valuable addition to a healthy diet.
Researchers continue to investigate the nutritional and medicinal benefits of onions, which include their ability to potentially lower cholesterol levels, improve cardiovascular health, and even possess anti-cancer properties.
Gallic acid, a phenolic compound found in onions, has been studied for its antioxidant and antimicrobial activities.
Sodium hydroxide and the Folin-Ciocalteu reagent are often used in the analysis of phenolic compounds, such as those present in onions.
Lyoalfa, a freeze-drying process, can be employed to preserve the delicate phytochemicals in onions, while quercetin, a flavonoid, is one of the key bioactive compounds found in these versatile vegetables.
Sodium carbonate and Whatman No. 1 filter paper may be utilized in the extraction and purification of onion compounds, while acetonitrile, formic acid, and ethanol are common solvents used in the analysis of onion constituents.
The continued scientific inquiry into the potential health benefits of onions underscores their importance as a subject of ongoing research and a valuable component of a diverse and nutritious diet.
These aromatic bulbs contain a variety of sulfur-containing compounds that contribute to their distinctive aroma and taste, as well as their potential anti-inflammatory and antioxidant properties.
Onions are a rich source of vitamins, minerals, and fiber, making them a valuable addition to a healthy diet.
Researchers continue to investigate the nutritional and medicinal benefits of onions, which include their ability to potentially lower cholesterol levels, improve cardiovascular health, and even possess anti-cancer properties.
Gallic acid, a phenolic compound found in onions, has been studied for its antioxidant and antimicrobial activities.
Sodium hydroxide and the Folin-Ciocalteu reagent are often used in the analysis of phenolic compounds, such as those present in onions.
Lyoalfa, a freeze-drying process, can be employed to preserve the delicate phytochemicals in onions, while quercetin, a flavonoid, is one of the key bioactive compounds found in these versatile vegetables.
Sodium carbonate and Whatman No. 1 filter paper may be utilized in the extraction and purification of onion compounds, while acetonitrile, formic acid, and ethanol are common solvents used in the analysis of onion constituents.
The continued scientific inquiry into the potential health benefits of onions underscores their importance as a subject of ongoing research and a valuable component of a diverse and nutritious diet.