Laboratory performance on analysis of mandatory nutrients and preparation of nutrition labelling

Judprasong, Kunchit; Puwastien, Prapasri; Boonpor, Jirapitcha; Pinprapai, Naruemol

doi:10.1016/j.foodchem.2012.11.127

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…where x i and X represent the result reported by each participant and the consensus value calculated from the participants' results, respectively, and NIQR represents a normalized interquartile range: 0.7413×(quartile 3-quartile 1). 25) This evaluation method based on the consensus value calculated from participants' results is used in many PT programs.…”

Section: Statistical Analysis For the Calculation Of Z-scoresmentioning

confidence: 99%

Proficiency testing by the National Metrology Institute of Japan for quantification of pesticide residues in grain samples from 2012 to 2018

et al. 2019

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From 2012 to 2018, proficiency testings (PTs) were carried out to support the analytical skill development of participants. Grains were sprayed with various target pesticides and used as material samples for PTs. It was found that 27-56% and 10-43% of participants used the Japanese official multiresidue method and a solid-phase extraction technique with the Quick, Easy, Cheap, Effective, Rugged, and Safe (modified QuEChERS, known as "STQ" in Japan) method, respectively. Reported results were evaluated using two types of z-scores: one was based on consensus values calculated from the analytical results reported by the participants, and the other was based on values obtained by the National Metrology Institute of Japan (NMIJ). Acceptable z-scores based on the consensus values and NMIJ reference values were achieved by 78-95% and 67-94% of the participants, respectively. Many laboratories improved their z-scores by continuing participation in our PT.

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Section: Statistical Analysis For the Calculation Of Z-scoresmentioning

confidence: 99%

Proficiency testing by the National Metrology Institute of Japan for quantification of pesticide residues in grain samples from 2012 to 2018

et al. 2019

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“…The nutrition labels clearly aim to prevent both under‐ and over‐nutrition and related NCDs. The format of Thailand's nutrition fact table is similar to that of the US Food and Drug Administration, but it is complicated and therefore difficult for general consumers to understand (Table ) . Since labeling is voluntary for most food products, the nutrition fact table is used to enhance the image of a food product rather than to provide nutrition knowledge to consumers.…”

Section: Previous and Ongoing Nutrition Programmesmentioning

confidence: 99%

Thailand conquered under‐nutrition very successfully but has not slowed obesity

2013

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SummaryUnder-nutrition in Thailand has been successfully controlled for over two decades. However, Thailand is now facing a double-burden malnutrition problem where under-and over-nutrition coexist. Overweight, obesity, and related diseases are the main nutritional challenges, leading to high costs for curative care. Thailand foresees that nutrition can be an effective strategy for preventing diet-related non-communicable chronic diseases, and the country aims to reduce costs for secondary and tertiary health care. Various organizations have conducted national programmes, focusing especially on nutrition education and public campaigns, which have been sustainable and not sustainable. Only milk and certain foods for children are mandated for nutrition labeling. Guideline daily amounts is now the nutrient profile mandated for snack foods in Thailand. To increase efficiency, Thailand's National Food Committee has been established to link food, nutrition and health via a multi-sectoral approach.

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“…However, currently, there is not a fast and specified method to obtain the required nutritional information about Iberian pork products according to the EU regulation. Judprasong et al (2013) studied the performance of laboratories in Thailand that reported nutritional analyses according to ISO 13528 regulation. The analytical method proposed in the current paper is faster than the proposed method by Judprasong et al (2013) and is faster than the official methods proposed by AOAC (2000).…”

Section: Introductionmentioning

confidence: 99%

“…Judprasong et al (2013) studied the performance of laboratories in Thailand that reported nutritional analyses according to ISO 13528 regulation. The analytical method proposed in the current paper is faster than the proposed method by Judprasong et al (2013) and is faster than the official methods proposed by AOAC (2000). In fact, some industrial meat companies have applied this novel NIRs method of analysis successfully on their dry-cured meat products, and have confirmed it takes less time and money to obtain the nutritional parameters.…”

Section: Introductionmentioning

confidence: 99%

Determining Mandatory Nutritional Parameters for Iberian Meat Products Using a New Method Based on Near Infra-Red Reflectance Spectroscopy and Data Mining

et al. 2019

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The new regulation about mandatory labelling on nutrition requires the declaration of specific parameters: protein, lipid, salt and carbohydrate contents. This study reports a fast, accurate method to determine the values of these mandatory nutritional parameters based on near infra-red reflectance spectroscopy (NIRs) technology and data mining techniques, used in an automatic way. For that, two batches of different Iberian pork meat products (dry-cured ham, dry-cured loin, dry-cured shoulder, dry-fermented Salchichón sausage, and dry-fermented Chorizo sausage were used. One batch of each product was used to train the method and the remaining batch was used for validation. To develop the method, prediction equations were obtained from the NIRs, while nutritional data for the training batches were obtained by applying data mining techniques, and the prediction equations were evaluated against the NIRs data from the validation batch. The prediction equations achieved from very good to excellent degrees of relationship (R > 0.75) and accurate results (MAE < 1, RMSEC < 1, RMSEP < 1) from the training batch. These prediction equations were corroborated using the validation batch, which showed very good to excellent correlation coefficients (R > 0.75). This new method is rapid, as it takes around 10 minutes in comparison with traditional methods that take around 6 days.

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Laboratory performance on analysis of mandatory nutrients and preparation of nutrition labelling

Cited by 10 publications

References 5 publications

Proficiency testing by the National Metrology Institute of Japan for quantification of pesticide residues in grain samples from 2012 to 2018

Proficiency testing by the National Metrology Institute of Japan for quantification of pesticide residues in grain samples from 2012 to 2018

Thailand conquered under‐nutrition very successfully but has not slowed obesity

Determining Mandatory Nutritional Parameters for Iberian Meat Products Using a New Method Based on Near Infra-Red Reflectance Spectroscopy and Data Mining

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