While wearable and mobile chemical
sensors have experienced tremendous
growth over the past decade, their potential for tracking and guiding
nutrition has emerged only over the past three years. Currently, guidelines
from doctors and dietitians represent the most common approach for
maintaining optimal nutrition status. However, such recommendations
rely on population averages and do not take into account individual
variability in responding to nutrients. Precision nutrition has recently
emerged to address the large heterogeneity in individuals’
responses to diet, by tailoring nutrition based on the specific requirements
of each person. It aims at preventing and managing diseases by formulating
personalized dietary interventions to individuals on the basis of
their metabolic profile, background, and environmental exposure. Recent
advances in digital nutrition technology, including calories-counting
mobile apps and wearable motion tracking devices, lack the ability
of monitoring nutrition at the molecular level. The realization of
effective precision nutrition requires synergy from different sensor
modalities in order to make timely reliable predictions and efficient
feedback. This work reviews key opportunities and challenges toward
the successful realization of effective wearable and mobile nutrition
monitoring platforms. Non-invasive wearable and mobile electrochemical
sensors, capable of monitoring temporal chemical variations upon the
intake of food and supplements, are excellent candidates to bridge
the gap between digital and biochemical analyses for a successful
personalized nutrition approach. By providing timely (previously unavailable)
dietary information, such wearable and mobile sensors offer the guidance
necessary for supporting dietary behavior change toward a managed
nutritional balance. Coupling of the rapidly emerging wearable chemical
sensing devicesgenerating enormous dynamic analytical datawith
efficient data-fusion and data-mining methods that identify patterns
and make predictions is expected to revolutionize dietary decision-making
toward effective precision nutrition.