Abstract:The screen-printed electrode biosensor was developed for triglyceride determination in coconut milk. The biosensor was developed by adding lipase, glycerol-3-phosphate (GPO), and glycerol kinase (GK), which is immobilized to a gelatin solution. The concentration of triglyceride is found to be linear to the current produced. The developed screen-printed electrode biosensor showed the optimum response for pH 7.0, 45 mg amount of gelatin, 2.5% glutaraldehyde concentration solution. The developed biosensor was abl… Show more
“…(D) Disposable electrochemical enzymatic biosensor for triglycerides determination in plant milk. Adapted with permission from ref . Copyright 2020 Hindawi.…”
Section: Electrochemical Techniques
and Mobile Sensors For Nutrition
...mentioning
confidence: 99%
“…For example, enzyme electrodes have shown useful decentralized detection of lysine 87 and tyrosine, 88 which are essential for maintaining nutritional balance. Decentralized biosensing devices has been also applied for measuring triglycerides and fatty acids in plant milk (Figure 2D) 89 and oils. 90 Moreover, simultaneous multianalyte detection of several carbohydrates and metabolites has been illustrated using custom designed, screen-printed portable sensor arrays.…”
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.
“…(D) Disposable electrochemical enzymatic biosensor for triglycerides determination in plant milk. Adapted with permission from ref . Copyright 2020 Hindawi.…”
Section: Electrochemical Techniques
and Mobile Sensors For Nutrition
...mentioning
confidence: 99%
“…For example, enzyme electrodes have shown useful decentralized detection of lysine 87 and tyrosine, 88 which are essential for maintaining nutritional balance. Decentralized biosensing devices has been also applied for measuring triglycerides and fatty acids in plant milk (Figure 2D) 89 and oils. 90 Moreover, simultaneous multianalyte detection of several carbohydrates and metabolites has been illustrated using custom designed, screen-printed portable sensor arrays.…”
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.
“…The amount of triglyceride content is valuable for determining the quality of coconut milk. Manoj et al developed a screen-printed electrode biosensor by adding lipase, glycerol-3-phosphate (GPO) and glycerol kinase (GK), which were immobilized into a gelatin membrane by crosslinking with glutaraldehyde ( Figure 2 a) [ 44 ]. The developed biosensor showed the best response in a solution of pH 7.0 with 45 mg of gelatin and 2.5% glutaraldehyde.…”
Section: Gelatin As a Matrix For Immobilized Biorecognition Materialsmentioning
confidence: 99%
“… Figure 2 Biosensors for food testing with gelatin matrix. ( a ) Schematic representation of the screen-printed electrode biosensor [ 44 ] (copyright (2020) D. Manoj et al); ( b ) red markings point the steps that pose potential challenge towards ensuring the sensory and nutritional quality of the fruit juice [ 45 ] (copyright (2022) Elsevier Ltd.); ( c ) amperometric enzyme-based biosensor to evaluate adulteration in virgin coconut oil [ 48 ] (copyright (2022) Wiley Periodicals LLC. ); ( d ) scheme of fabrication procedure for electrospun Hb/gelatin-MWCNTs/GC electrode [ 50 ] (copyright (2020) Elsevier B.V.).…”
Section: Gelatin As a Matrix For Immobilized Biorecognition Materialsmentioning
Gelatin is a natural protein from animal tissue with excellent biocompatibility, biodegradability, biosafety, low cost, and sol–gel property. By taking advantage of these properties, gelatin is considered to be an ideal component for the fabrication of biosensors. In recent years, biosensors with gelatin have been widely used for detecting various analytes, such as glucose, hydrogen peroxide, urea, amino acids, and pesticides, in the fields of medical diagnosis, food testing, and environmental monitoring. This perspective is an overview of the most recent trends and progress in the development of gelatin-based biosensors, which are classified by the function of gelatin as a matrix for immobilized biorecognition materials or as a biorecognition material for detecting target analytes.
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