This study was performed in an effort to standardize the quality of fresh-cut products. Here, consumers' perceptions of fresh-cut products were surveyed to determine the quality factors in preparing quality standards for fresh-cut products. According to the surveys, freshness was the most important factor for consumers when choosing fresh-cut products at the market. Secondary indicators of good quality, i.e., "sensory qualities," were determined to be vibrant color, clean taste, nice feel, neat presentation, etc., as well as knowledge of whether it was organically grown. Off-odors decreased a product's marketability. Likewise, the more wilted or brown it appeared, the less a product was desired. From the results, the quality control indices for fresh-cut products were derived as freshness, discoloration, off-flavor, uniformity, prohibition of adulteration by alien substances, packaging and labeling. The quality of fresh-cut lettuce samples was measured against three storage temperatures: $20^{\circ}C,\;10^{\circ}C$ and $5^{\circ}C$. Sensory quality evaluations revealed the following: produce stored at $20^{\circ}C$ lost its marketability in less than one day; produce stored at $10^{\circ}C$ lost its marketability in less than two days; on the other hand, produced stored at $5^{\circ}C$, maintained its marketability for six days. At these respective points, browning started to occur around cut areas, and increased gradually once it began. Vitamin C content decreased with storage time, but storage at $5^{\circ}C$ maintained vitamin content the longest duration. Finally, further examinations were performed on the sensory qualities of fresh-cut lettuce samples at four levels of increased browning. Up to the third level, the product score for marketability was 5.6.
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
/
2001.06a
/
pp.1245-1245
/
2001
Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
/
2001.06a
/
pp.1156-1156
/
2001
This work aimed to prove the feasibility of NIR spectroscopy to detect vegetable protein isolates (soy, pea and wheat) in milk powder. Two hundred and thirty-nine samples of genuine and adulterated milk powder (NIZO, Ede, NL) were analysed by NIRS using an InfraAlyzer 500 (Bran+Luebbe). NIR spectra were collected at room temperature, and data were processed by using Sesame Software (Bran+Luebbe). Separated calibrations for each non-milk protein added, in the range of 0-5%, were calculated. NIR data were processed by using Sesame Software (Bran+Luebbe). Prediction and validation were made by using a set of samples not included into the calibration set. The best calibrations were obtained by the PLSR. The type of data pre-treatment (normalisation, 1$\^$st/ derivative, etc..) was chosen to optimize the calibration parameters. NIRS technique was able to predict with good accuracy the percentage of each vegetable protein added to milk powder (soy: R$^2$ 0.994, SEE 0.193, SEcv 0.301, RMSEPall 0.148; pea: R$^2$ 0.997, SEE 0.1498, SEcv 0.207, RMSEPall 0.148, wheat: R$^2$ 0.997, SEE 0.1418, SEcv 0.335, RMSEPall 0.149). Prediction results were compared to those obtained using other two techniques: capillary electrophoresis and competitive ELISA. On the basis of the known true values of non-vegetable protein contents, the NIRS was able to determine more accurately than the other two techniques the percentage of adulteration in the analysed samples.
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
/
2001.06a
/
pp.1152-1152
/
2001
Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.
Chemometric technique was applied to the sugar composition in five honeys of known botanical or geographical origin following HPLC. Fructose and glucose were predominant carbohydrates in honeys, and small amount of sucrose was also detected in one sample. Sugar contents in honeys samples were compared by the geographical or botanical origin. Fructose/glucose ratio ranged from 0.99 to 1.55 was obtained and these results are in good agreement with the ratio of literature. The plot of principal components analysis(PCA) showed that different honey samples grouped into distinct cluster by the geographical or botanical origin. Increasing the first or second principal component score, higher amount of sugar or less fructose/glucose ratio was observed in PCA plot. Chemometric approach was very useful to provide pattern recognition of sugar profile or quality indices of honey sample and to detect adulteration.
Han Yong-Joo;Lee Sun-Dong;Choi Jong-Hwan;Park Jong-Goo;Jang In-Soo;Park Hae-Mo
The Journal of Korean Medicine
/
v.27
no.1
s.65
/
pp.78-90
/
2006
Background : Traditional herbal medicine is used extensively among the Korean populations, and other Asian countries employ similar therapies as well. In recent years, extensive focus was laid on adulteration of the herbal medicine with liver damage. The use of herbal preparations as remedies for various medical conditions has continuously increased in Korea. Large proportions of Korean patients use herbal medicinal products, folk remedies, and health food. However, studies on the safety of herbal products are conducted on a less than sufficient basis even in the countries like Korea where herbal medicine is being used extensively. Some of the reports on the safety of herbs were done by the doctors of western medicine but lack of knowledge and misclassification led to misunderstandings. Objectives : This study aims to verify the evidences on safety of frequently used 4 herbal medications (Sipjeondaebo-tang, Bojungikgi-tang, Ohjeok-San, Yukmaijihwang-tang) in the lab animal model. Methods : Sprague-Dawley rats was treated by 4 herbal medications during 31 days. After 1 month, we checked body weight, liver weight, and serum enzyme associated with liver function. Results : There is no significant difference in body weight and liver weight after 1 month of administrations. In all experimental groups, no abnormal findings was observed in histotogical research and lab liver Functions test(AST, ALT etc). Conclusions : These four herbal medications, frequently used in oriental medicine clinics and hospitals, are safe from hepatoxic events in the lab animal model.
Purpose: Adolescence is a critical period for growth and development; hence, knowledge about good food habits is essential amongst children. This study was conducted to investigate prevalence of awareness among food sellers, which could probably influence children's health and perceptions on food around schools towards adulterated food management beliefs, competencies, and food safety practices. Methods: Data was collected from 195 dealers around 25 elementary, middle and high schools in Daegu and Gyeongbuk provinces using a self-administered questionnaire in July and August, 2015. The data was analyzed using frequency analysis, one-way analysis of variance, $x^2$-test, factor analysis, and reliability analysis by SPSS Statistics (ver. 23.0). Results: A total of 121 people (62.1%) reported satisfaction of providing information and education on adulterated food. The perception of hazardous substances was found to be related to food poisoning bacteria and viruses (65.6%), heavy metals (42.1%), environmental hormones (36.4%), residual pesticides (27.2%), and irradiated food (26.7%). The perceived score on hygiene practices for processed food seller was $4.04{\pm}0.56/5.00$ and for cooked food seller was $4.09{\pm}0.45$. The capacity of adulterated food management practice of food sellers was significantly correlated with food knowledge on adulteration and public relation capacity, necessity of adulterated food management, and perception of hygiene practices (p<0.01). Similarly, knowledge and public relation capacity were significantly different according to ages (p<0.01). The perception of the necessity of adulterated food management was significantly different according to education levels (p<0.05), and the evaluation of hygiene practices was significantly different according to age (p<0.01). Conclusion: In order to solve the problem of adulterated food, which is one of the four social evils, and to strengthen the capacity of children to solve social problems, various practices like campaign on health promotion, goof food habits, education, and adulterated food management, should be actively promoted not only for children but also for food sellers around the schools.
Red pepper is one of the most important spices popularly utilized in Korea. Because of the differences in tariff rates between red pepper powder and seasoned red-pepper sauce, seasoned red-pepper sauce is often therefore imported by consumers, then dried, ground, and added to red pepper powder for cost effective purposed to use the product the most effectively. In this study, we combined species-specific polymerase chain reaction (PCR) assays (for red pepper, garlic, onion, spring onion, and ginger) with whole-genome amplification (WGA). Thirty-nine red pepper powders were well in accordance with their labels. However, six red pepper powder and five seasoned red-pepper sauce products failed to meet their compliance requirements. As a consequence, our monitoring results revealed that the overall mislabeling rate detected in this study was identified at 22%. Thus, our findings showed that the species-specific PCR in conjunction with WGA was an ideal method to identify raw materials that are used in the manufacturing of red pepper powder and seasoned red-pepper sauce.
The use of food grade hexane (FGH) for edible oil extraction is responsible for the presence of benzene in the crude oil. Benzene is a Group 1 carcinogen and could pose a serious threat to the health of consumer. However, its detection still depends on classical methods using chromatography which requires a rapid non-destructive detection method. Hence, the aim of this study was to investigate the feasibility of using Fourier transform infrared (FTIR) spectroscopy combined with multivariate analysis to detect and quantify the benzene residue in edible oil (sesame and cottonseed oil). Oil samples were adulterated with varying quantities of benzene, and their FTIR spectra were acquired with an attenuated total reflectance (ATR) method. Optimal variables for a partial least-squares regression (PLSR) model were selected using the variable importance in projection (VIP) and the selectivity ratio (SR) methods. The developed PLS models with whole variables and the VIP- and SR-selected variables were validated against an independent data set which resulted in $R^2$ values of 0.95, 0.96, and 0.95 and standard error of prediction (SEP) values of 38.5, 33.7, and 41.7 mg/L, respectively. The proposed technique of FTIR combined with multivariate analysis and variable selection methods can detect benzene residuals in edible oils with the advantages of being fast and simple and thus, can replace the conventional methods used for the same purpose.
Objectives : Rosae Multiflorae Fructus is a traditional medicine derived from the fruit of Rosa multiflora Thunb. a member of the Rosaceae family. Even though it has a single origin, the possibility of adulterants has always existed. In fact, we had discovered suspicious commercial samples of Rosae Multiflorae Fructus, imported from China. Methods : To define the taxonomic origin of Rosae Multiflorae Fructus and its adulterants, DNA barcode analysis of the internal transcribed spacer, trnL-F intergenic spacer, and psbA-trnH sequences was carried out. These DNA barcode sequences from the correct origin of Rosae Multiflorae Fructus were analyzed and compared with those of other samples from genus Rosa used as medicinal herbs. Results : The analyses of the three DNA barcode sequences efficiently distinguished Rosae Multiflorae Fructus from six other species in genus Rosa and also separated each species used in this study. According to the DNA barcoding results, none of the suspicious commercial samples were Rosae Multiflorae Fructus. RMF09 was identified as Rosa acicularis, whereas RMF10 and RMF11 were identified as Rosa davurica and Rosa rugosa, respectively. These results corroborated the existence of adulterants of Rosae Multiflorae Fructus. Conclusions : Our research provides useful information that could be used as a criterion for distinguishing between Rosae Multiflorae Fructus and its adulterants. These results will help in the prevention of adulteration and also suggest effective methods for verifying the origin of commercial herbal medicines derived from genus Rosa.
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