• The Korean Journal of Food And Nutrition
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• v.21 no.1
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• pp.28-34
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• 2008

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
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• 2001.06a
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• pp.1245-1245
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• 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
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• 2001.06a
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• pp.1152-1152
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• 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.

• Journal of Food Hygiene and Safety
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• v.30 no.3
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• pp.289-294
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• 2015

The aim of this study was to develop rapid screening method for the identification of Chinese herbal medicine species with similar appearance, Polygonum multiflorum, Cynanchum wilfordii and C. auriculatum, by using genetic markers. As a genetic marker, psbA-trnH gene in chloroplast was selected due to differences in sequence among the three species. Species-specific primers were designed based on the sequences of the marker gene of P. multiflorum, C. wilfordii, and C. auriculatum, and the expected size of PCR products was 160, 147, and 119 bp, respectively. Under the developed conditions, cross-reaction was not detected among these three plant species. To confirm the efficiency of our species-specific primers, the optimized method was applied to a variety of processed products composed of mostly P. multiflorum and C. wilfordii, demonstrating that our method was a rapid and easy screening assay. Our findings suggest this screening method can be utilized to prevent the distribution of economically motivated adulteration food and to improve consumer's right.

• Korean Journal of Food Science and Technology
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• v.48 no.6
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• pp.531-535
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• 2016

Phlomis umbrosa and Dipsacus asperoides are distinct species, even though they have a similar appearance. Dipsacus asperoides is used as a Chinese medicinal plant for and has bone strengthening and fracture healing but Phlomis umbrosa has no effect on bone growth. Recently, these plants were used in children's food to improve their bone growth, without distinction in food. Intakes of Dipsacus asperoides in food may be dangerous, because it has never been used in food and its safety has never been tested in humans. We developed liquid chromatography with tandem mass spectrometry method to distinguish these plants in food. The method was validated for linearity, limits of detection, limits of quantification, accuracy and precision. In 5 of 17 samples, we identified Dipsacus asperoides, containing loganin $0.19-14.45{\mu}g/mL$, sweroside $0.13-4.61{\mu}g/mL$ and akebia saponin D $0.59-19.29{\mu}g/mL$. The developed method might be useful to identify Dipsacus asperoides in adulterated food.

• Analytical Science and Technology
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• v.32 no.1
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• pp.24-34
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• 2019

The safety of food is occasionally questionable, as there have been some reports of products contaminated with illegal adulterants. In this study, the presence of 16 sedative-hypnotics and sleep inducers in dietary supplements was determined by ultra-high-performance liquid chromatography with UV detection (UPLC-UV) and quadruple Orbitrap mass spectrometry (Q-Orbitrap-MS). The UPLC method was validated, providing a linearity (R2) of more than 0.999, and LODs and LOQs that ranged from 0.2 to 0.5 and 0.6 to $1.5{\mu}g\;mL^{-1}$, respectively. The repeatabilities were 0.2-8.4 % (intra-day) and 0.3-4.5 % (inter-day), and the accuracies were 89.0-117.0 % (intra-day) and 87.8-111.9 % (inter-day). The mean recoveries of the spiked samples ranged from 98.7 to 107.3 %. The relative standard deviation (%RSD) of the stability was less than 2.4 %. Using the developed method, one sedative-hypnotic compound, phenobarbital, was detected in one of the nineteen samples tested. In addition, the major characteristic fragment ions of each target compound were confirmed using Q-Orbitrap-MS for higher accuracy. Monitoring the presence of these 16 sedative-hypnotics and sleep inducers in dietary supplements should be pursued in the interest of human health, and the results of this study confirmed that the developed method has value for this application.

• Analytical Science and Technology
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• v.27 no.1
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• pp.66-77
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• 2014

This study was carried out to examine the authenticity discrimination of circulated vegetable oils by using carbon isotope ratio (${\delta}^{13}C$) and fatty acid composition. This analysis was applied to vegetable oils which we can buy in Korean markets, and the analytical instrument was measured by using EA-IR/MS for ${\delta}^{13}C$ and GC/FID for fatty acid composition. ${\delta}^{13}C$ was separated into 3 groups as $C_3$ plant including sesame oil, $C_4$ plant including maize oil, and rice bran oil. Fatty acid composition was significantly different among vegetable oils. In addition, the interval of low and high price vegetable oils was classified through the scatter plot analysis showing the correlation of the ${\delta}^{13}C$ and fatty acid composition. Therefore, through a simultaneous determination of the ${\delta}^{13}C$ and fatty acid composition, we are able to determine the majority of vegetable oils. It help to ensure food safety in Korean market by exclusion of economically modified adulteration in food.

• Korean Journal of Food Science and Technology
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• v.48 no.5
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• pp.405-412
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• 2016

Illegally adulterated compounds, such as impotency drugs and their synthetic analogues, which have been purported to enhance sexual potency or mood, have been constantly detected in foods including dietary supplements. The adulterated foods with these illegal compounds may threaten public health because their safety and efficacy have not been verified. This study was aimed at investigating illegal compounds in foods and counterfeit products. 54 illegal compounds were assayed using a simultaneous analytical method involving liquid chromatography equipped with photo diode array (LC-PDA) and LC coupled with tandem mass spectrometry (LC-MS/MS). The method was validated in terms of selectivity, linearity, limit of detection (LOD), limit of quantification (LOQ), precision and accuracy. In 48 of 161 samples, we identified 7 different illegal compounds, including sildenafil, tadalafil, chlropretadalafil, demethylsildenafil, dimethyl-thiosildenafil, icariin and yohimbine. When purchasing products marketed for erectile dysfunction or aphrodisiacs, ulmost care should be taken owing to the possible presence of these illegal compounds.

• Korean Journal of Food Science and Technology
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• v.48 no.5
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• pp.424-429
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• 2016

Globally, obesity has been recognized as a serious health problem. Recently, slimming foods for weight loss and maintenance were found to contain anti-obesity drugs, their analogues, and prohibited ingredients. To avoid inspections by the Government, structurally modified analogs have been continuously synthesized. For rapid determination of adulterated slimming products, we simultaneously analyzed 21 illegal compounds using liquid chromatography (LC) equipped with photo diode array, and LC coupled with tandem mass spectrometry. The validation of the method was performed with regard to selectivity, linearity, limit of detection, limit of quantification, precision, and accuracy. We purchased 128 samples from the Korean market and online sources in the year 2015. In 31 samples, 3 illegal compounds were detected as follows: 9.9-135.3 mg/g of sibutramine, 0.2-17.5 mg/g of yohimbine, and 1.8 mg/g of icariin. This simultaneous detection method might prove to be a simple and rapid analysis for monitoring illegal compounds in slimming foods.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.257-271
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• 2019

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.