Food Package Testing Authorities and Regulations

2017 ◽  
pp. 303-332
Author(s):  
Angela Störmer ◽  
Keun Taik Lee
Keyword(s):  
2020 ◽  
Vol 16 (7) ◽  
pp. 1119-1129
Author(s):  
Nurul Hakimah ◽  
Nur Rahman ◽  
Sucipto Sucipto ◽  
Wignyanto Wignyanto ◽  
Aulanni'am Aulanni'am

Background: The purpose of this study was to analyze the menu engineering data: preferences, acceptances, and popularity indexes of local food package menus with low to moderate glycemic index and how these variables affect the glycemic response of subjects with type 2 diabetes mellitus (T2DM). Methods: This study was a one group pre and post-test experimental study with 21 T2DM participants. A total of 1,764 menu engineering data were obtained during the two-week study period. Fifteen food service survey questions were distributed and anthropometric and glycemic responses were measured. Results: The popularity indexes of the main and snack package menus were significantly different (p=0,000). There was a significant decrease (p<0.05) in Δ RBG levels by 59.6±115.8 mg/ dL (26.7%) and Δ % albumin glycated by 1.5±1.0 (6.1%) (p = 0.000) on 38% subjects with good glycemic control who consumed less food outside the study (12.5%). Price, type of food, type of foodstuff, nutrient content, portion size, food appearance, food texture, GI values, food menu name, and menu conformity to the environment were important considerations in the menu preference and popularity. Conclusion: This study showed that the local food package menu can control the glycemic response of T2DM participants while having a high popularity index. This finding provides an opportunity for the foodservice industry to operate sustainably by considering the factors desired by consumers with T2DM in controlling their long-term glycemic response.


2021 ◽  
Vol 36 (5) ◽  
pp. 596-607
Author(s):  
O. Ekşi

Abstract The aim of this study is to determine the thickness distribution of a food package using a non-destructive method. Initially, thickness measurements were carried out using an experimental procedure for thermoformed samples that were used for food packaging. Additionally, in this study, image analysis was used for the first time to determine the thickness distribution of the thermoformed products non-destructively. Image analysis software was employed for the estimation of thickness distribution. Measured thickness results were compared to those estimated using image analysis. Based on the results of the current study, image analysis may be an alternative method for non-destructive testing of thermoformed food packages even in a mass production line. Image analysis can be used to determine not only thickness distribution but also the weakest regions in a food package.


2017 ◽  
Vol 171 (2) ◽  
pp. 198
Author(s):  
Jason M. Nagata ◽  
Jennifer T. Djafari ◽  
Lisa J. Chamberlain

2015 ◽  
Vol 19 (7) ◽  
pp. 1315-1326 ◽  
Author(s):  
Carmen Byker Shanks ◽  
Teresa Smith ◽  
Selena Ahmed ◽  
Holly Hunts

AbstractObjectiveTo assess the nutritional quality of food packages offered in the Food Distribution Program on Indian Reservations (FDPIR) using the Healthy Eating Index 2010 (HEI-2010).DesignData were collected from the list of the food products provided by the US Department of Agriculture’s Food and Nutrition Handbook 501 for FDPIR. Nutritional quality was measured through a cross-sectional analysis of five randomly selected food packages offered through FDPIR. HEI-2010 component and total scores were calculated for each food package. ANOVA and t tests assessed significant differences between food packages and HEI-2010 maximum scores, respectively.SettingThis study took place in the USA.SubjectsStudy units included food products offered through FDPIR.ResultsThe mean total HEI-2010 score for the combined FDPIR food packages was significantly lower than the total HEI-2010 maximum score of 100 (66·38 (sd 11·60); P<0·01). Mean scores for total fruit (3·52 (sd 0·73); P<0·05), total vegetables (2·58 (sd 0·15); P<0·001), greens and beans (0·92 (sd 1·00); P<0·001), dairy (5·12 (sd 0·63); P<0·001), total protein foods (4·14 (sd 0·56); P<0·05) and refined grains (3·04 (sd 2·90); P<0·001) were all significantly lower than the maximum values.ConclusionsThe FDPIR food package HEI-2010 score was notably higher than other federal food assistance and nutrition programmes. Study findings highlight opportunities for the FDPIR to modify its offerings to best support lifestyles towards prevention of diet-related chronic disease.


2007 ◽  
Vol 16 (4) ◽  
pp. 196-204 ◽  
Author(s):  
Yosuke Kubota ◽  
Kazuhiro Nakano ◽  
Yoshihiko Usui ◽  
Kiyoshi Sasaoka ◽  
Takayoshi Noguchi ◽  
...  

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Amanda Reat ◽  
Sylvia Crixell ◽  
Julia Von Bank ◽  
Hannah Thornton ◽  
B.J. Friedman
Keyword(s):  

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