METHODS: A 55 questions survey encompassing nine domains relevant to CeD care (awareness, gluten-free [GF] foods availability/cost/quality, GF labeling, CeD dietician availability, insurance for CeD patients, medical training, research funding, patient support groups, and unmet needs) was generated and sent to CeD experts worldwide electronically. Countries were stratified based on per capita income as high-income (HIC) and lower-income countries (LIC) (including upper-middle-, lower-middle-, and low-income countries). Survey responses were summarized as a single score using principal component analysis.
RESULTS: Valid responses were obtained from 131(37.4%) [HIC: 71; LIC: 60] of contacted CeD experts from 63 countries. Compared with HIC, LIC experts perceived worse availability (HIC:80% vs LIC: 47%; P
RESULTS: Numerical optimization showed that rice noodles prepared with SPI, 68.32 (g kg-1 of rice flour), MTG, 5.06 (g kg-1 of rice flour) and GDL, 5.0 (g kg-1 of rice flour) gave the best response variables; hardness (53.19 N), springiness (0.76), chewiness (20.28 J), tensile strength (60.35 kPa), and cooking time (5.15 min). The pH, sensory, and microstructure results showed that the optimized rice noodles had a more compact microstructure with fewer hollows, optimum pH for MTG action, and overall sensory panelists also showed the highest preference for the optimized formulation, compared to other samples selected from the numerical optimization and desirability tests.
CONCLUSION: Optimization of the levels of SPI, MTG, and GDL yielded quality noodles with improved textural, mechanical, sensory, and microstructural properties. This was partly due to the favourable pH value of the optimized noodles that provided the most suitable conditions for MTG crosslinking and balanced electrostatic interaction of proteins. © 2020 Society of Chemical Industry.