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The purpose of this paper is to explore and compare consumer perceptions of unpolished pigmented rice and milled white rice between unfamiliar and typical consumers.

This study first employed focus groups to explore attitudes and habits relating to rice consumption among British subjects. A sensory descriptive analysis method, flash profiling (FP), was then applied on consumer panels in the UK and Thailand to gain perceived sensory quality of unfamiliar and typical rice samples. The sensory profiles generated by British and Thai panellists were analysed by generalised procrustean analysis (GPA) and compared based on perceived attributes, dominant characteristics and repeatability.

Focus group results suggested that consumer familiarity with rice might influence preferred rice textural quality. The prominent textures of stickiness and bittiness of unpolished pigmented rice were negatively associated with perceived quality in the UK participants. The sensory profiles generated by GPA consisted of similarity with darkness of colour and sweet/earthy type odours that are key dominant characteristics of the Thai pigmented rice.

The research has provided sensory information of the unpolished pigmented rice as compared with milled white rice. The information gives insights on product development directions for export and further research on rice processing and cooking instructions.

This study is the first to apply sensory evaluation in a cross-cultural comparison of pigmented rice.

The purpose of this paper is to assess the exposure of cooks in rural India (55 households) to the indoor air pollution levels emitted from burning of different fuels, i.e. cow dung, wood, liquefied petroleum gas (LPG) and propane natural gas(PNG) kerosene for cooking purposes.

Indoor air quality was monitored during cooking hours in 55 rural households to estimate the emissions of PM10, PM2.5, CO, NO₂, VOCs and polyaromatic hydrocarbons (PAHs). While, PM10 and PM2.5 were monitored using personal dust samplers on quartz filter paper, CO and VOCs were monitored using on line monitors. The PM10 and PM2.5 mass collected on filter papers was processed to analyse the presence of PAHs using GC.

Results revealed that cow dung is the most polluting fuel with maximum emissions of PM10, PM 2.5, VOCs, CO, NO₂ and Benzene followed by wood and kerosene. Interestingly kerosene combustion emits the highest amount of PAHs. Emissions for all the fuels show the presence of carcinogenic PAHs which could be a serious health concern. The composition of LPG/PNG leads to reductions of pollutants because of better combustion process. LPG which is largely propane and butane, and PNG which is 90 per cent methane prove to be healthier fuels. Based on the results, the authors suggest that technological intervention is required to replace the traditional stoves with improved fuel efficient stoves.

The prevailing weather condition and design of the kitchen in these rural houses severely affect the concentration of pollutants in the kitchen as winter season combined with inadequate ventilation leads to reduced dispersion and accumulation of air pollutants in small kitchens.

The present study provides a detailed analysis of impact of widely‐used cooking practices in India. Even today, countries such as India rely on biomass for cooking practices exposing the cooks to high level of carcinogenic pollutants. Further, women and girls are the most threatened group as they are the primary cooks in these rural Indian settings. Based on the results, the authors suggest that technological as well as policy intervention is required to replace the traditional stoves with improved fuel efficient stoves.

This study aims to provide a salt ready-mix to instant fried noodles manufacturers.

Response surface methodology was used to get optimized salt ready-mix based on carbonate salt, disodium phosphate, tripotassium phospahte, sodium hexametaphosphate and sodium chloride. Peak viscosity of flour and yellowness, cooking loss and hardness of noodles were considered as response factors for finding optimized salt formulation.

The results showed that salts have an important role in governing quality of noodles. Optimum levels of five independent variables of salts, namely, carbonate salt (1:1 mixture of sodium to potassium carbonate), disodium phosphate, sodium hexametaphosphate, tripotassium phosphate and sodium chloride were 0.64%, 0.29%, 0.25%, 0.46% and 0.78% on flour weight basis, respectively.

To the best of the authors’ knowledge, this is the first study to assess the effect of different combinations of different salts on the quality of noodles. These findings will also benefit noodle manufacturers, assisting in production of superior quality noodles.

The purpose of this study was to compare the physico-chemical properties and amino acid profile of three maize hybrid cultivars grown in Nigeria.

Two normal maize endosperm varieties, yellow SUWAN-ISR (YNM) and white ART/98/SW05-OB-WC (WNM), and one yellow QPM variety, TZE-POP-DT-STR-QPM (YQPM), were selected for the study. Physico-chemical properties, physical tests, proximate composition analysis, functional properties and characteristics and amino acid profile tests were carried out on the grains using standard methods.

Protein was significantly higher (p < 0.05) in YQPM (10.49 per cent) than in normal endosperm, YNM (8.83 per cent) and WNM (8.50 per cent). Amino acid profile of the grains revealed that total amino acid of YQPM (94.67 g/100 g of protein) and essential amino acid of YQPM (39.070) were the highest among the three, with highest significantly different value of tryptophan (0.388 g/100 g of protein) at p < 0.05. The cooking quality of YQPM was found to be better than the other two, with highest hydration capacity and increase in volume after cooking (90.8 ± 0.01 g/1000 grains and 147.53 ± 0.02 per cent).

YQPM will be highly beneficial in the tropics, where maize is grown as the major staple food to reduce hunger and malnutrition because of its amino acid balance and its better cooking quality.

This paper aims to investigate the effect of hydrothermal treatment by conventional, microwave and pressure cooking on the cooking properties, proximate composition and organoleptic characteristics of dehulled Moringa oleifera seeds.

Samples of Moringa oleifera seeds were subjected to cooking for the minimum time by each of the methods under study. Cooking properties, proximate composition and organoleptic characteristics were determined following standard analytical procedures.

The results showed that the average cooking time were 25, 30 and 40 mins for conventionally, pressure- and microwave-cooked moringa kernels, respectively. There was no significant difference in cooking weight, moisture absorbed and water uptake ratio of conventionally and pressure-cooked samples. The protein content of moringa kernel reduced from 41.9 for raw kernels to 40.2, 41.2 and 36.9 per cent for conventionally, pressure- and microwave-cooked samples, respectively. Pressure and microwave cooking indicated 40.1 and 39.3 g/100g of crude fat, whereas raw kernels indicated 37.1 g/100g. Conventionally and pressure-cooked kernels had lower fibre content than the raw kernels, but there was no significant difference in the ash contents of the samples. Cooking influenced the proximate composition and colour of moringa kernels. Microwave cooking indicated higher values of cookability than other cooking methods considered in this study, but no significant difference was observed in the organoleptic characteristics of moringa kernels due to the cooking methods.

Given the high protein and vital nutrients content which are seldom found in daily diets, moringa kernels may be considered by processors of edible nuts and kernels for food-based applications such as cooked, roasted, mixed or spiced kernels.

This work is perhaps the first to document moringa seeds processing by hydrothermal treatment.

The purpose of this study is to examine households’ behavior towards dirty cooking energy utilisation in an environment where relatively higher accessibility to clean energy is noted. Although the low utilisation rate of clean energy can partly be attributed to utility gains anticipated in dirty energy mixes (DEMs) arising out of accessibility constraints, affordances and enablers, it is still unclear on the extend at which each of these contributes towards DEMs manifestation among the seemingly well-to-do households with higher levels of clean energy mixes (CEM) access. This study, therefore, hinges on scrutinising on this lower utilisation patterns despite a seemingly higher accessibility of CEMs, specifically liquified petroleum gases (LPG).

The study is based on a household’s survey that was carried out in 2018, reaching a sample of 393 households using questionnaires in four wards of the Kigamboni district in Tanzania. Subsequent analyses were descriptive as well as inferential based on binary logistic regression analysis where utilisation of DEMs was predicted for both the high and low social economic status (SES) households by incorporating accessibility constraints, affordances and enablers.

The results show, first, if one assumes energy stacking is not an issue, as households become more constrained towards CEMs utilisation, they shift towards DEMs suggesting that the overall effect is a substitution, and second, the complementarity effect ultimately outweighs the substitution effect as households do not shift from DEMs to CEMs rather stack multiple energy. DEMs flourish in this case study area because those with high income are among those in the lowest SES, and some of those with the highest SES are from among the lowest income category, and all of them end up with more DEMs because shifting towards CEMs require income to complement SES.

Policy-wise, removing hurdles in accessing CEMs such as LPG subsidy programme, gas stove provision to the poor, and enhanced LPG awareness will most likely benefits only those who do not stack energy in cooking while strategies targeting those at the lowest SES such as higher education attainment, empower women as a family decision maker, encourage co-occupancy to enlarge the household size and contain urban growth within certain perimeter will have a significant impact only if they raise both incomes and SES.

Despite of the dominance of DEMs for cooking such as charcoal and firewood in Tanzania, CEMs such as LPG, have emerged as complements or alternatives in the household energy basket. The utilisation of such CEMs is, however, still very low despite the accessibility, cost, environmental and health advantages they offer. Accessibility is not the only factor fuelling CEMs; a complementarity must exist between SES and income for the positive transition towards CEMs to be realised.

This paper aims to empirically identify foodie features and examine their relevance in segmenting German consumers. Furthermore, this study explored potential differences between foodie segments in terms of food involvement and food knowledge.

Data were collected from 500 German respondents in October 2015 by means of two online surveys using a newly developed version of the foodie instrument based on existing literature. Confirmatory factor analysis, cluster analysis, analysis of variance and post hoc tests were applied to analyse the data.

Six distinct consumer segments were identified: passionate foodies (12.0%), interested foodies (21.5%); moderate foodies (21.7%), traditional foodies (17.1%), light foodies (18.2%) and non-foodies (9.5%). The nutritional knowledge questionnaire suggests that passionate foodies have only an average level of food literacy compared to other segments.

Behavioural traits and socio-demographic characteristics of foodies and other culinary consumer segments could be time-sensitive, thus future research should take a longitudinal approach so that subsequent decision-making is appropriately dynamic.

To the best of the authors' knowledge, this paper is a first step towards the development of a new foodie lifestyle scale which will be useful to identify, characterise and develop effective marketing strategies for targeting highly involved food consumers.

The purpose of this paper is to examine households’ acceptability of local (Ofada) rice by identifying the quality attributes influencing marginal implicit prices (MIPs) paid by rice consumers’ households in South-West, Nigeria.

The data used for this study were collected from a survey of 600 rice-consuming households in the study area. A multistage sampling technique was employed to select the respondents. Well-structured questionnaires were used to collect information on general households’ socioeconomic characteristics, their desirability and preference for local (Ofada) rice, and market prices of Ofada rice. Kendall’s concordance test was performed to confirm agreement among respondents in their rankings of the rice quality attributes. Hedonic price function was used to examine the relationship between implicit prices paid by consumers based on quality attributes of local (Ofada) rice, as observed in the market.

The result of Kendall’s coefficient of concordance revealed that there is 73.74 per cent agreement in ranking quality attributes of local (Ofada) rice consumers’ households in the study area. Colour, perceived nutrient level, taste, grain shape and rate of breakage were the most ranked quality attributes with mean attribute ranking scores of 1.56, 1.69, 3.12, 5.53 and 5.86, respectively. The result of the hedonic pricing model revealed that households are willing to pay MIPs of ₦71.03 ($0.20), ₦45.23 ($0.13), ₦32.98 ($0.09), ₦21.06 ($0.06) and ₦14.41($0.04) per kg for colour, grain cohesion, grain shape, perceived nutrient level and perceived chemical storage, respectively, while discounting MIPs of ₦60.55 ($0.17), ₦19.36 ($0.05), ₦17.14 ($0.05) and ₦6.00 ($0.02) for texture, rate of breakage, perceived freshness and low swelling capacity per kg of local (Ofada) rice, respectively.

Continuous importation of rice into the country has many negative implications such as worsening of the poverty status of local rice farmers, unemployment of teeming youths engaged in rice value chain, and exposure to soaring and unpredictable price bringing unsustainable development. Lastly, over-dependency on rice importation, if not checked, can also permit dumping of low quality and sometimes expired rice into the country. All aforementioned reasons will make it difficult for local rice to compete favourably with imported varieties.

Kendall’s coefficient of concordance and Hedonic model were used as a diagnostic tools. These diagnostic tools show the need for government and relevant stakeholders to focus on improving the quality of local (Ofada) rice, especially the undesirable attributes. This could be achieved by adopting modern processing technology, that will enhance production and consumers’ acceptability, which could make local (Ofada) rice have good market share against imported brands.

The economic value of a good is revealed by the consumer’s willingness to pay for the good, consequently increasing production through consumers’ acceptability, and improve living standard of farmers and processors through increased earnings.

The choice of a particular local rice, especially local (Ofada) rice, is made to estimate the effect of different attributes on the price paid by rice consumers’ households and to help in the development of effective technologies and policy that enhance better rice quality using both Kendall’s coefficient of concordance and Hedonic model to achieve the objective. For the first time this research has given clarity on the monetary value attached to local (Ofada) rice consumption by rice consumers’ households through quality attributes.

The purpose of this paper is to investigate the quality of the frying oil used in restaurants, fast food establishments, and confectionary stores. The compliance of used frying oils with the quality standards as determined by the peroxide value (PV) and the total polar materials (TPMs) is investigated by analyzing 375 samples of oil.

The PV was measured according to the national standard procedure number 4179, while the TPM was determined using a Testo 270 cooking oil tester. Frying oils with a PV>5 mEq/kg and a TPM>25 percent were considered to be non-edible. For a comparison of groups, the Mann-Whitney and Spearman correlation tests were used, and p<0.05 was considered significant.

The maximum TPM and PV recorded for frying oils in fast food restaurants were 97.5 percent and 77.9 mEq/kg, respectively. The results also revealed that 60 percent of samples were non-edible according to the TPM, while 58.9 percent of the oil samples were non-edible because of the PV. TPM and PV correlated well with each other (r=0.99, p<0.001) and with oil replacement intervals (r=0.90, p<0.001). The relationship between the TPM and PV was stronger in the polynomial model than the linear model. The following equation was obtained: peroxide (mEq/kg oil)=0.0043 TPM2 (%)+0.1587 TPM (%)–0.6152.

Considering the current limitations in official supervision by health authority, on-site self-monitoring of the TPM using the Testo 270 cooking oil tester by sellers as a solution seems a new approach. Food stores, restaurants, and confectionary stores should be equipped with TPM analyzers to determine the quality of the frying oil and the timely replacement of non-edible oils.

Measuring texture parameters are time consuming and expensive; it is necessary to develop an efficient and rapid method to evaluate them. Image analysis can be a useful tool. The purpose of this paper is to predict texture parameters in different beef cuts applying image analysis techniques.

Samples were analyzed by scanning electron microscopy. Texture parameters were analyzed by instrumental, image analysis techniques and by Warner–Bratzler shear force.

Significant differences (p<0.05) were obtained for image and instrumental texture features. Higher amount of porous were observed in freeze dried samples of beef cuts from Gluteus Medius and semintendinosus muscles. A linear trend with a linear correlation was applied for instrumental and image texture. High correlations were found between image and instrumental texture features. Instrumental parameters showed a positive correlation with image texture feature.

This research suggests that the addition of image texture features improves the accuracy to predict texture parameter. The prediction of quality parameters can be performed easily with a computer by recognizing attributes within an image.