BACKGROUND: Cocoa quality plays a pivotal role in establishing denominations of origin, with genotypes, geography, climate and soil conditions being key variables. However, these factors have not been comprehensively explored in defining cacao denominations of origin. The present study addresses this gap by laying the foundation for cacao denomination of origin, focusing on the Buenaventura region on Colombia\'s Pacific coast. Our goal is to provide a holistic understanding of the elements underpinning cacao denomination of origin, emphasizing Buenaventura\'s unique cocoa quality and geographical significance.
RESULTS: Through the Buenaventura case, we propose a robust framework applicable to other cacao-producing regions, elevating the recognition and value of cacao denomination of origin. Our framework encompasses geography, agronomy, genetics, microbial diversity, pests and diseases and cocoa quality. In a pioneering move, we propose a cacao denomination of origin in Colombia, specifically examining Bajo Calima, Sabaletas and Cisneros within Buenaventura region. Buenaventura stands out for its cocoa quality, characterized by fruity flavors attributed to the rich biodiversity of the lowland rainforest.
CONCLUSIONS: Our analysis indicates specific geographical indicators for each of the study zones, with Buenaventura identified as a region with natural characteristics to produce fine flavour cocoa products. Each zone exhibited a high differentiation and diversity of cacao cultivars. Buenaventura has the potential to be designated as a future denomination of origin for cacao from the Pacific region of Colombia, characterized by its unique fruity-aroma chocolates. Our framework is adaptable to other cacao-producing regions, facilitating the establishment of denominations of origin within the cocoa industry and agriculture. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

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OBJECTIVE: Attention-deficit hyperactivity disorder (ADHD) has been linked to \"unhealthy\" food consumption, but the studies in this area are insufficient. The aim of this study is to investigate the relationship between ADHD/related symptoms and processed meat products and snack consumption.
METHODS: This study was conducted on 390 children aged between 6 and 17 with 169 ADHD (38 Girls, 131 Boys) and 221 healthy controls (93 Girls, 128 Boys). Food consumption was evaluated by a modified food frequency questionnaire, including 18 food containing processed meat products and snacks. ADHD symptoms were evaluated by the teacher and parent Turgay DSM-IV-Based Child and Adolescent Disruptive Behavioral Disorders Screening and Rating Scale (T-DSM-IV-Scale) and Conners\' Rating Scale (CPRS, CTRS).
RESULTS: Children with ADHD consumed more processed meat products, milk-based desserts, and chocolate-sweets than controls (p<0.05). A positive correlation was observed between the ADHD symptom scores and the consumption amount of all snacks, the amount of chocolate-sweets consumption, the frequency of consumption of sujuk, chocolate, jelly beans, sweets, cakes, and chocolate spread (p<0.05).
CONCLUSIONS: Children with ADHD consume more foods rich in saturated fat and sugar than their healthy peers. Processed food consumption of children with ADHD may be associated with ADHD symptoms.

Several studies have reported that most new products do not achieve satisfactory results when launched on the market. There is a need to increase the efficiency of the methodologies used in the development of new products to increase success rates. Rapid sensory methodologies named Polarized Sensory Positioning (PSP), Check-all-that-apply (CATA), Projective mapping (PM) or Napping were applied to obtain sensory and hedonic information of a new product, probiotic-added chocolate flavored milk, aiming at determining preference guides that can be used to obtain a high overall liking level. It was possible to develop a probiotic chocolate flavored milk with general positive overall liking. The preferred sample was formulated with high content of sugar and chocolate, concluding that these characteristics are preference guides. The results supplied by the consumers using different methodologies were consistent, although the methodologies differed in their ability for sample differentiation. CATA methodology allowed better discrimination between samples than the other methodologies, followed by Projective Mapping, PSP with scales and triadic PSP. We could confirm that those rapid methodologies of sensory characterization are efficient when applied to product development.Practical applications Using those methodologies, it was possible to develop a probiotic chocolate flavored milk that meets both, consumer\'s expectations in relation to nutrition and taste and functionality. The methodologies proved to be efficient in characterizing consumer preference guides, and therefore fundamental to the development of a product with higher overall liking.

Consumers expect perceptual constancy between multiple bites of the same food. In this study, we investigated how sweetness, creaminess, expected fullness and liking of chocolate coated rice waffles can be modified by bite-to-bite variation in chocolate thickness. 3D inkjet printing was used to accurately deposit the chocolate layers varying in thickness (0.8, 1.6 and 3.2 mm) onto rice waffles. In the first study, single bites of rice waffles with a homogeneous chocolate coating were evaluated. With increasing thickness of chocolate coating, the sweetness, creaminess, and expected fullness increased significantly. In the second study, we evaluated seven chocolate coated rice waffles containing a constant total chocolate amount but different chocolate thicknesses between three sequential bites. The order of chocolate thickness between bites had significant, but small effects on sweetness, expected fullness and liking. Interestingly, rice waffles with a homogeneous chocolate coating were preferred over rice waffles with an inhomogeneous chocolate coating. Neither recency nor primacy effects were sufficient to explain sweetness perception in this study. We conclude that the sweetness of chocolate coated rice waffles can be modified by bite-to-bite variation in chocolate thickness. This study demonstrates that 3D inkjet printing allows the production of foods with bite-to-bite contrast, which possibly might be used for healthier food product design.

High-yielding dairy cows collapsed and died displaying signs of a disturbed central nervous system (muscle tremor, convulsion) and a considerably reduced body condition score. An intense diagnostic screening did not allow to confirm a definite diagnosis. Therefore, further analyses including an evaluation of feeds and feeding were initiated. The herd was fed a total mixed ration (TMR) based on corn and grass silage of moderate nutritive value supplemented with various amounts of chocolate chips. In retrospect, the amount of chocolate chips added to the respective TMR batches could not be quantified. These chips were purchased from a company producing bakery and chocolate products for human consumption and added to the silage and therefore to the TMR in order to increase the energy intake of the animals. Because the TMR, which was fed during the time of the incidence, was no longer available, a sample of a later batch of silage was examined. The amount of chocolate chips was quantified (0.44% per fresh matter), and a theobromine analysis was performed in the chocolate chips of the available batch (69.7 mg/100 g fresh matter). Because of the possible link between chocolate intake and observed signs, an immediate cessation of using the chocolate chips was recommended in addition to an optimisation of the TMR, that is an increase of the energy density. Even though the theobromine intake during the time of the incidence is unknown and information about toxicity of theobromine in ruminants is limited, we suspect that the feeding of chocolate in this case caused all signs including the sudden death of the cows. Further reasons are that no differential diagnoses were established and the problems at the farm stopped after removing the chocolate from the TMR.

Consumers\' product experiences are increasingly uncovered using approaches that extend beyond acceptability and sensory perception. The present research is situated in this context and adopts a multi-response approach to jointly obtain attitudinal, conceptual, emotional, situational and/or sensorial evaluations. With the aim of greater methodological understanding, three case studies were conducted with samples in three product categories (fruit- and vegetable-based beverages (n = 10), seafood (n = 6) and chocolate (n = 7)) using consumers from New Zealand (n = 196), India (living in New Zealand) (n = 138) and China (n = 167), conducted in central location (CLT) or home-use test (HUT) settings. Showcasing this multi-response approach and demonstrating its versatility in product research is the main contribution of the research. Across the three case studies different combinations of response types and scaling formats were successfully used (including CATA (check-all-that-apply) questions, yes/no questions and rating scales), and it was also found that tasted foods and written stimuli (food names) served equally well as stimuli. The degree of liking or disliking for individual samples was a useful benchmark against which to interpret the other types of responses, and situational appropriateness, obtained as item-by-use (IBU) responses always contributed unique insights. Facial emoji to obtain product-emotion associations yielded less valuable insights than a conceptualisation task. As expected, and in accordance with the rationale for adopting a multi-response approach, the combination of response types yielded greater stimuli insights than would otherwise have been gained. This held for each of the three case studies and supported future applications using a multi-response approach that extends beyond many related initiatives by including four response types in each case study.

Direct-injection mass spectrometry (DIMS) techniques have evolved into powerful methods to analyse volatile organic compounds (VOCs) without the need of chromatographic separation. Combined to chemometrics, they have been used in many domains to solve sample categorization issues based on volatilome determination. In this paper, different DIMS methods that have largely outperformed conventional electronic noses (e-noses) in classification tasks are briefly reviewed, with an emphasis on food-related applications. A particular attention is paid to proton transfer reaction mass spectrometry (PTR-MS), and many results obtained using the powerful PTR-time of flight-MS (PTR-ToF-MS) instrument are reviewed. Data analysis and feature selection issues are also summarized and discussed. As a case study, a challenging problem of classification of dark chocolates that has been previously assessed by sensory evaluation in four distinct categories is presented. The VOC profiles of a set of 206 chocolate samples classified in the four sensory categories were analysed by PTR-ToF-MS. A supervised multivariate data analysis based on partial least squares regression-discriminant analysis allowed the construction of a classification model that showed excellent prediction capability: 97% of a test set of 62 samples were correctly predicted in the sensory categories. Tentative identification of ions aided characterisation of chocolate classes. Variable selection using dedicated methods pinpointed some volatile compounds important for the discrimination of the chocolates. Among them, the CovSel method was used for the first time on PTR-MS data resulting in a selection of 10 features that allowed a good prediction to be achieved. Finally, challenges and future needs in the field are discussed.

Traditional methods to assess heart rate (HR) and blood pressure (BP) are intrusive and can affect results in sensory analysis of food as participants are aware of the sensors. This paper aims to validate a non-contact method to measure HR using the photoplethysmography (PPG) technique and to develop models to predict the real HR and BP based on raw video analysis (RVA) with an example application in chocolate consumption using machine learning (ML). The RVA used a computer vision algorithm based on luminosity changes on the different RGB color channels using three face-regions (forehead and both cheeks). To validate the proposed method and ML models, a home oscillometric monitor and a finger sensor were used. Results showed high correlations with the G color channel (R² = 0.83). Two ML models were developed using three face-regions: (i) Model 1 to predict HR and BP using the RVA outputs with R = 0.85 and (ii) Model 2 based on time-series prediction with HR, magnitude and luminosity from RVA inputs to HR values every second with R = 0.97. An application for the sensory analysis of chocolate showed significant correlations between changes in HR and BP with chocolate hardness and purchase intention.

Craving is considered a key characteristic of diverse pathologies, but evidence suggests it may be a culture-bound construct. Almost 50% of American women crave chocolate specifically around the onset of menstruation. Research does not support popular accounts implicating physiological factors in menstrual chocolate craving etiology. We tested the novel hypothesis that greater menstrual craving prevalence in the U.S. is the product of internalized cultural norms. Women of diverse backgrounds (n = 275) reported on craving frequency and triggers and completed validated measures of acculturation. Foreign-born women were significantly less likely to endorse menstrual chocolate craving (17.3%), compared to women born to U.S.-born parents (32.7%, p = .03) and second generation immigrants (40.9%, p = .001). Second generation immigrant and foreign-born women endorsing menstrual chocolate craving reported significantly greater U.S. acculturation and lower identification with their native culture than non-menstrual cravers (all p < .001). Findings inform our understanding of food cravings, with important implications for the study of cravings in other domains.