Development of an Analytical Method for Unsaturated Disaccharides from Heparan Sulfate Using Dansylhydrazine Derivatization and High-Performance Liquid Chromatography with Fluorescence Detection.

Glycosaminoglycans (GAGs), such as heparan sulfate (HS), play essential roles in living organisms. Understanding the functionality of HS and its involvement in disease progression necessitates the sensitive and quantitative detection of HS-derived unsaturated disaccharides. Conventionally, fluorescence derivatization precedes the HPLC analysis of these disaccharides. However, the presence of excess unreacted derivatization reagents can inhibit rapid and sensitive analysis in chromatographic determinations. In this study, we describe analytical methods that use dansylhydrazine as a derivatization agent for the detection and determination of HS-derived unsaturated disaccharides using HPLC. In addition, we have developed a straightforward method for removing excess unreacted reagent using a MonoSpin NH2 column. This method may be employed to remove excess pre-labeling reagents, thereby facilitating the analysis of HS-derived unsaturated disaccharides with satisfactory reproducibility.

[Analytical Method for Melengestrol Acetate in Livestock Products Using LC-MS/MS].

The present study verified that it is possible to analyze melengesterol acetate using the existing multi-residue method. Melengestrol acetate was extracted from livestock products using acidic acetonitrile acidified with acetic acid in the presence of n-hexane and anhydrous sodium sulfate. The crude extracts were cleaned up using an octadecylsilanized silica gel cartridge column. Separation by HPLC was performed using an octadecylsilanized silica gel column with linear gradient elution of 0.1 vol% formic acid and acetonitrile containing 0.1 vol% formic acid. For the determination of the analyte, tandem mass spectrometry with positive ion electrospray ionization was used. In recovery tests using four livestock products fortified with maximum residue limits levels of melengestrol acetate (0.001-0.02 mg/kg), the truenesses ranged from 82% to 100%, and the repeatabilities for the entire procedure ranged from 0.5 RSD% to 5.6 RSD%. In recovery tests using 11 livestock products fortified with 0.0005 mg/kg of melengestrol acetate, the truenesses ranged from 88% to 99%, and the repeatabilities ranged from 1.3 RSD% to 5.4 RSD%. The limit of quantification for melengestrol acetate in livestock products was 0.0005 mg/kg.

[Implementation and Evaluation of Risk Communication Regarding Residual Pesticides].

In this study, a public seminar on risk communication methods was conducted to raise awareness and disseminate accurate knowledge about residual pesticides to consumers. Additionally, surveys on consumer awareness were conducted on the attendees before and after the seminar to evaluate its effectiveness. Responses were obtained from 84 participants. The paired t-test was used to analyze the changes in awareness before and after the seminar. The results showed significant improvements in "trust in the government" and "understanding of residual pesticides." Furthermore, step-wise multiple regression analysis was performed to explore the factors influencing satisfaction with the risk communication seminar, and the item "understanding of the safety of residual pesticides in food" was extracted. Understanding food safety is a crucial concern in daily life for consumers. To enable consumers to have an accurate understanding of food risks and make appropriate judgments, it is essential to continue implementing risk communication and conveying information about food safety and security in the future.

Basic Principles for Setting MRLs for Pesticides in Food Commodities in Japan.

The Committee on Pesticides and Veterinary Drugs of the Food Sanitation Council under the Pharmaceutical Affairs and Food Sanitation Council set the maximum residue limits (MRLs) for residual pesticides, veterinary drugs, and feed additives in food commodities according to the basic principles for establishing MRLs for pesticides in food commodities in Japan. The basic principles consist of the following seven concepts: 1. Outline of setting Japanese MRLs for pesticide residue in food commodities; 2. Preparation of draft MRLs for pesticides in livestock commodities; 3. Preparation of draft MRLs for pesticides in fish and shellfish; 4. Technical guideline for setting MRLs for pesticides, etc., in honey; 5. Methods of setting standards for chemical substances used as pesticides in the past that are now detected as contaminants; 6. Concept of setting MRLs for pesticides at an extremely low level; and 7. Commodity groups and representative commodities regarding MRLs based on international harmonization. The present paper introduces and explains the basic principles for establishing MRLs for pesticides, veterinary drugs, and feed additives in food commodities.

Development of a Reverse-Yield Factor Database Disaggregating Japanese Composite Foods into Raw Primary Commodity Ingredients Based on the Standard Tables of Food Composition in Japan.

The reverse-yield factor (RF) database was developed for qualitatively and quantitatively disaggregating Japanese composite foods into raw primary commodity (RPC) ingredients. Representative equations for four types (dried, salted, fermented and mixed foods) were developed to calculate RFs using the food content and composition data for composite foods listed in the Standard Tables of Food Composition in Japan-2020-(STFCJ), published by the Ministry of Education, Culture, Sports, Science and Technology of Japan. Out of 1150 composite foods identified in the STFCJ, RFs for 54 dried, 41 salted, 40 fermented and 818 mixed foods were obtained. RFs for 197 mixed foods could not be calculated because these foods were produced from ingredients with no specified information and/or through complex processing. The content and composition of Japanese composite foods would be interpreted representatively by RFs in the developed database.

Development of a processing factor prediction model for pesticides in processed tomato foods using elastic net regularization.

A novel regularized elastic net regression model was developed to predict processing factor (PF) for pesticide residues, which represents a change in the residue levels during food processing. The PF values for tomato juice, wet pomace and dry pomace in the evaluations and reports published by the Joint FAO/WHO Meeting on Pesticide Residues significantly correlated with the physicochemical properties of pesticides, and subsequently the correlation was observed in the present tomato processing study. The elastic net regression model predicted the PF values using the physicochemical properties as predictor variables for both training and test data within a 2-fold range for 80-100% of the pesticides tested in the tomato processing study while overcoming multicollinearity. These results suggest that the PF values are predictable at a certain degree of accuracy from the unique sets of physicochemical properties of pesticides using the developed model based on a processing study with representative pesticides.

A reliable enzyme-linked immunosorbent assay for the determining of sesame proteins in raw food ingredients and in processed foods.

Sesame is a frequent cause of adverse food reactions in allergic patients. We developed a novel sandwich enzyme-linked immunosorbent assay (ELISA) using two monoclonal antibodies and a unique extraction buffer for the detection and quantification of sesame proteins in processed foods and in raw food ingredients to clarify the validity of sesame labeling and for precautionary allergen labeling. The developed sandwich ELISA method is highly specific for sesame proteins. The limit of detection (LOD) and limit of quantification (LOQ) are 0.013 µg/g and 0.025 µg/g, respectively. The recoveries for incurred food samples, such as dressing, breads, sauce and pudding, ranged from 67 % to 81 %, while the repeatability and reproducibility coefficients of variation were less than 4.7 % and 4.5 %, respectively. The developed method has applicability for food products and is a reliable tool for the detection of hidden sesame proteins in raw food ingredients and in processed foods.

Development of a rapid and reliable method to simultaneously detect seven food allergens in processed foods using LC-MS/MS.

Rapid analysis of multiple food allergens is required to confirm the appropriateness of food allergen labelling in processed foods. This study aimed to develop a rapid and reliable method to simultaneously detect trace amounts of seven food allergenic proteins (wheat, buckwheat, milk, egg, crustacean, peanut, and walnut) in processed foods using LC-MS/MS. Suspension-trapping (S-Trap) columns and on-line automated solid-phase extraction were used to improve the complex and time-consuming pretreatment process previously required for allergen analysis using LC-MS/MS. The developed method enabled the simultaneous detection of selected marker peptides for specific proteins derived from seven food ingredients in five types of incurred samples amended with trace amounts of allergenic proteins. The limit of detection values of the method for each protein were estimated to be <1 mg/kg. The developed analytical approach is considered an effective screening method for confirming food allergen labelling on a wide range of processed foods.

Egg protein exposure estimation in risk assessment for Japanese food allergy labeling.

To assess the risk of food allergies in foods processed under the Japanese food labeling system, estimating exposure to hidden allergens is necessary. We assessed exposure to egg protein in foods processed according to the Japanese food labeling system. First, we estimated the concentration distribution of egg protein by Bayesian methods using data from the literature and the measurement of food products with precautional declarations in the labeling margin. We then estimated the food-intake portion-size distribution under two scenarios: soft drink consumption as an example of single, high-intake consumption, and confections, which are frequently consumed by children, as a realistic example of low-intake consumption. Finally, we estimated the distribution of unexpected intake of egg proteins in the form of single consumption. The mean exposure to egg protein under the high-intake scenario was estimated to be 0.0164 mg for 1-15-year-olds, 0.0171 mg for 4-15-year-olds, 0.0181 mg for 7-15-year-olds, and ≥0.0188 mg for 16-year-olds. The mean exposure to egg protein under the low-intake scenario was estimated to be 0.0018 mg for 1-15-year-olds, 0.0019 mg for 4-15-year-olds, 0.0020 mg for 7-15-year-olds, and ≥0.0022 mg for 16-year-olds. Compared to the reference dose of 2.0 mg proposed by the Joint the Food and Agriculture Organization (FAO)/World Health Organization (WHO) Expert Committee, the risk of onset of food allergies due to egg protein contamination from foods without egg labeling is considered to be extremely low under the current Japanese food labeling system.

Isolation of Shiga Toxin-Producing Escherichia coli from the Surfaces of Beef Carcasses in Slaughterhouses in Japan.

Shiga toxin-producing E. coli (STEC) is an important foodborne pathogen worldwide. It is necessary to control and prevent STEC contamination on beef carcasses in slaughterhouses because STEC infection is associated with beef consumption. However, the frequencies of STEC contamination of beef carcasses in various slaughterhouses in Japan are not well known. Herein, we investigated the contamination of beef carcasses with STEC in slaughterhouses to assess the potential risks of STEC. In total, 524 gauze samples were collected from the surfaces of beef carcasses at 12 domestic slaughterhouses from November 2020 to February 2023. The samples were measured for aerobic plate counts and tested for pathogenic genes (stx and eae) and major O-serogroups (O26, O45, O103, O111, O121, O145, and O157) by real-time PCR screening. Subsequently, immunomagnetic separation (IMS) was performed on samples positive for stx, eae, and at least one of the seven O-serogroups of STEC. Isolation process without IMS was performed on samples positive for stx, including those subjected to IMS. STEC O157:H7 and stx-positive E. coli other than serotype O157:H7 were isolated from 0.6% and 4.6% of beef carcass surfaces, respectively. Although the STEC O157:H7 isolation rate was low and stx-positive E. coli other than serotype O157:H7 belonged to minor O-serogroups, the results mean a risk of foodborne illness. Furthermore, a moderate correlation was observed between aerobic plate counts and detection rates of stx-positive samples by real-time PCR screening. The STEC O157:H7 isolated facilities showed higher values on aerobic plate counts and detection rates of stx-positive samples than the mean values of total samples. Therefore, these results suggest that it is important to evaluate hygiene treatments against beef carcasses for the reduction of STEC contamination risk, particularly in facilities with high aerobic plate counts.