{"title":"[The Validity of the Poisson Distribution to Analyze Microbial Colony Counts on Agar Plates for Food Samples].","authors":"Hiroshi Fujikawa","doi":"10.3358/shokueishi.64.174","DOIUrl":"10.3358/shokueishi.64.174","url":null,"abstract":"<p><p>Microbial colony counts of food samples in microbiological examinations are one of the most important items. The probability distributions for the colony counts per agar plate at the dilution of counting had not been intensively studied so far. Recently we analyzed the colony counts of food samples with several probability distributions using the Pearson's chi-square value by the \"traditional\" statistics as the index of fit [Fujikawa and Tsubaki, Food Hyg.Saf.Sc., 60, 88-95 (2019)]. As a result, the selected probability distributions depended on the samples. In this study we newly selected a probability distribution, namely a statistical model, suitable for the above data with the method of maximum likelihood from the probabilistic point of view. The Akaike's Information Criterion (AIC) was used as the index of fit. Consequently, the Poisson model were better than the negative binomial model for all of four food samples. The Poisson model was also better than the binomial for three of four microbial culture samples. With Baysian Information Criterion (BIC), the Poisson model was also better than these two models for all the samples. These results suggested that the Poisson distribution would be the best model to estimate the colony counts of food samples. The present study would be the first report on the statistical model selection for the colony counts of food samples with AIC and BIC.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 5","pages":"174-178"},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50163711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Determination of Flubendazole and Metabolite in Livestock Products Using LC-MS/MS].","authors":"Ryo Okabe, Satoru Nemoto, Mitsutoshi Aoyagi","doi":"10.3358/shokueishi.64.130","DOIUrl":"https://doi.org/10.3358/shokueishi.64.130","url":null,"abstract":"<p><p>This study proposes a method to determine flubendazole and metabolite R35475 in livestock products using tandem mass spectrometry coupled with positive ion electrospray ionization. Acetone is used to extract flubendazole and metabolite R35475 from the livestock samples. These extracts were purified using an SCX cartridge column (500 mg). Furthermore, high-performance liquid chromatography was performed on an Inertsil ODS-4 column with a gradient formed using methanol and water, both of which contain 5 mmol/L of ammonium acetate. The recovery tests using bovine muscle, fat, liver, milk, and egg fortified at the maximum residue limits of analytes or 0.005 mg/kg revealed that the trueness (n=5) of flubendazole and metabolite R35475 ranged from 89.4 to 106.4% with a repeatability rate of 1.7-7.8%.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 4","pages":"130-135"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10180845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Validation Study on Developed Methods for Anions and Bromic Acid in Various Mineral Waters by Ion Chromatography].","authors":"Hiroshi Sakuragi, Masako Suzuki, Hiroyuki Ohno","doi":"10.3358/shokueishi.64.161","DOIUrl":"https://doi.org/10.3358/shokueishi.64.161","url":null,"abstract":"<p><p>Five kinds of anions namely fluoride, chlorate, chlorite, nitrate and nitrite ions, and bromic acid were determined in various mineral waters (MWs), and the methods were validated. MWs are varying in the degree of hardness and contents of carbonate. When the five anions were measured based on the official method of tap water, the peak shape of fluoride ion in MWs with high degree of hardness was different from the standard solution, making it difficult to determine. The same phenomenon was also observed when bromic acid was measured. In order to achieve accurate determination, five-fold dilution with ultrapure water was carried out on the samples. With the additional step, the abnormal peak of both analytes was improved, and no difference in the retention times between standard and sample solutions was observed. The validation tests were performed using the developed methods with the additional diluting step, and the results of all target substances met the criteria of the guideline on analytical method validation for MW in Japan. Our results suggested that the methods we developed could be useful for the accurate determination of the anions and bromic acid in various MWs on the market.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 4","pages":"161-165"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10180850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Efficacy of Bright Greenish-Yellow Fluorescence Sorting on Mycotoxin-Contaminated Nutmeg Selection and Characterization of Fungal Flora Related to Mycotoxin Production].","authors":"Naoki Kobayashi, Kiyoshi Okano, Yoshiko Sugita-Konishi","doi":"10.3358/shokueishi.64.179","DOIUrl":"10.3358/shokueishi.64.179","url":null,"abstract":"<p><p>Spices have been known to be highly contaminated commodities with mycotoxins. The Codex Alimentarius reports that nutmeg is particularly contaminated with aflatoxins (AFs) and ochratoxin A (OTA). To eliminate contaminated commodities, visual sorting and bright greenish-yellow fluorescence (BGYF) sorting are used as low-cost technologies in production engineering. In Indonesia, nutmeg is mainly sorted by visual sorting and classified into three grades according to the Indonesian national standards, with importers further defining their own brand as imported products. In this study, we evaluate the efficacy of BGYF sorting as a further selection method to reduce AFs and OTA using the importer's own brand. Further, the level of these mycotoxins and the relationship between fungal flora and mycotoxin contamination were examined. These results showed that BGYF sorting effectively reduces AFs as well as OTA. In addition, BGYF-positive groups were infected by Aspergillus sections Flavi, Nigri, and Circumdati.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 5","pages":"179-184"},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50163708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Development of Analytical Method and Surveillance ofGibberellic Acid in Banana, Cherry, and Kiwi Fruit].","authors":"Yuki Yamasaki, Yoshinari Suzuki, Ikuko Kitayama, Mari Nunome, Midori Kondo, Takatoshi Sakai, Satoru Nemoto, Hiroshi Akiyama, Tomoaki Tsutsumi","doi":"10.3358/shokueishi.64.123","DOIUrl":"10.3358/shokueishi.64.123","url":null,"abstract":"<p><p>Gibberellic acid (GA<sub>3</sub>) is commonly used as a plant growth regulator in many food crops owing to its essential signaling functions during plant growth and development. In Japan, a threshold for administrative action for GA<sub>3</sub> content of 0.3 mg/kg applies in produce in which maximum residue limits have not been established. Although the threshold is based on previous studies, the GA<sub>3</sub> concentrations in individual foods are still unknown. Thus, we surveyed the concentrations of GA<sub>3</sub> in banana, cherry, and kiwi fruit on the Japanese market. We developed and validated a method for the analysis of GA<sub>3</sub> using solid-phase extraction and LC-MS/MS in accordance with accepted criteria of trueness, repeatability, and selectivity. The limits of detection and of quantification were determined as 0.005 and 0.05 mg/kg, respectively, in all fruits. Concentrations of GA<sub>3</sub> did not exceed 0.3 mg/kg regardless of ripeness, suggesting the reasonability of the current regulation of GA<sub>3</sub> in banana, cherry, and kiwi fruit. These findings can support prompt administrative action on these fruits, contributing to the regulation of GA<sub>3</sub> in Japan.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 4","pages":"123-129"},"PeriodicalIF":0.2,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10180849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Improvement of Nitrite Analysis Method in Food Products].","authors":"Takahiro Sasaki, Shoichi Tahara, Mari Morikawa, Tomoki Igarashi, Yuki Sadamasu, Keiko Ushiyama, Yukiko Yamajima, Chigusa Kobayashi","doi":"10.3358/shokueishi.64.21","DOIUrl":"https://doi.org/10.3358/shokueishi.64.21","url":null,"abstract":"<p><p>The conventional analysis method has problems with extraction efficiency, operability, and reproducibility. In this study, we attempted to solve these problems and improve the analytical method to obtain sufficient extraction efficiency and good operability and accuracy. The conventional method was able to get sufficient extraction in dried meat products, where the extraction efficiency of the conventional method was low, by increasing the concentration of sodium hydroxide solution at the time of homogenization. Suction filtration after adding the defoaming agent was added allowed for accurate volume adjustment. The turbidity of the extract caused by insufficient addition of zinc acetate solution was removed by increasing the amount of zinc acetate solution that was added. Turbidity caused by starch was removed by adding pancreatin. The RSD of the quantitative values was improved by adding sodium hydroxide solution and 80-90℃ water and immediately homogenizing. Furthermore, by changing the dilution factor of the extract solution in the colorimetric method, the inhibition of coloration by reducing substances was suppressed, and more accurate quantitative values could be obtained than with the conventional method. The recovery rate was 78.5-105% (RSD 0.7-5.8%), which was a good result. This method was considered to be a useful analytical method that can contribute to improving the inspection accuracy of nitrite ion analysis.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 1","pages":"21-28"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10823515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Development of a Simple Identification Method for Omphalotus guepiniformis by Color Reaction].","authors":"Hideyuki Shinohara, Ryuma Okawara, Yuka Nagaoka","doi":"10.3358/shokueishi.64.108","DOIUrl":"https://doi.org/10.3358/shokueishi.64.108","url":null,"abstract":"<p><p>A simple method of identification using a color reaction was developed for Omphalotus guepiniformis. Only Omphalotus guepiniformis turned turquoise green. Other edible mushrooms resembling the mushroom did not change color when the beam reagent (5 w/v% potassium hydroxide ethanolic solution) was dripped onto the mushroom pileus. Furthermore, ethanol extract and mock cooking products of this mushroom exhibited the same color reaction. These results demonstrate this method as useful for identifying Omphalotus guepiniformis during mushroom hunting or during investigations of food poisoning.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 3","pages":"108-110"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9751699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[An LC-MS/MS Analytical Method for Moenomycin A in Livestock Products].","authors":"Hiroyuki Kikuchi, Takatoshi Sakai, Tomoko Okura, Satoru Nemoto, Hiroshi Akiyama, Takaaki Taguchi, Tomoaki Tsutsumi","doi":"10.3358/shokueishi.64.61","DOIUrl":"https://doi.org/10.3358/shokueishi.64.61","url":null,"abstract":"<p><p>A simple and sensitive method for the determination of moenomycin A residues in livestock products using LC-MS/MS was developed. Moenomycin A, a residual definition of flavophospholipol, was extracted from samples with a mixture of ammonium hydroxide and methanol (1 : 9, v/v) preheated at 50℃. The crude extracted solutions were evaporated and purified by liquid-liquid partitioning between a mixture of ammonium hydroxide, methanol and water (1 : 60 : 40, v/v/v) and ethyl acetate. The alkaline layer was taken, and cleaned up using a strong anion exchange (InertSep SAX) solid phase extraction cartridge. The LC separation was performed on an Inertsil C8 column with liner gradient elution using 0.3 vol% formic acid and acetonitrile containing 0.3 vol% formic acid. Moenomycin A was detected using tandem mass spectrometry with negative ion electrospray ionization. Recovery tests were conducted using three porcine samples (muscle, fat and liver) and chicken eggs. Samples were spiked with moenomycin A at 0.01 mg/kg and at the Japanese Maximum Residue Limits (MRLs) established for each sample. The trueness ranged from 79 to 93% and precision ranged from 0.5 to 2.8%. The limit of quantification (S/N≥10) of the developed method is 0.01 mg/kg. The developed method would thus be very useful for regulatory monitoring of flavophospholipol in livestock products.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 2","pages":"61-68"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9503178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"[Prevalence and Antimicrobial Resistance of Campylobacter jejuni/coli and Analysis of Macrolide Resistance Isolates from Retail Meat in Tokyo, Japan (2010-2019)].","authors":"Yukari Nishino, Yukako Shimojima, Rie Fukui, Sumiyo Kuroda, Kaeko Yamazaki, Kaoru Hatakeyama, Keiko Yokoyama, Kenji Sadamasu","doi":"10.3358/shokueishi.64.185","DOIUrl":"10.3358/shokueishi.64.185","url":null,"abstract":"<p><p>This study aimed to investigate the prevalence and antimicrobial sensitivity of Campylobacter jejuni and Campylobacter coli in retail meat (chicken, beef, pork, venison, wild boar, horse, lamb and mutton) in Tokyo (Japan) from 2010 to 2019. Furthermore, the resistance mechanism of erythromycin (EM)-resistant strains was analysed. C. jejuni had a highly positive rate in domestic chicken meat (53.4%, 334/626 samples), domestic chicken offal (49.3%, 34/69 samples), and domestic beef offal (28.3%, 47/166 samples), while C. coli had a high positivity rate in domestic pork offal (31.7%, 44/139 samples). The positive rate of C. jejuni was significantly higher in offal than that in meat in domestic beef, while the positive rate of C. coli was significantly higher in offal than that in meat in domestic beef and domestic pork (p<0.05). In the isolates, 1.0% (6/631 strains) of C. jejuni and 36.2% (55/152 strains) of C. coli were EM resistant, with 41.5% (262/631 strains) of C. jejuni and 65.1% (99/152 strains) of C. coli being ciprofloxacin resistant. A2075G mutation of the 23S rRNA gene was confirmed in all EM-resistant strains.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 5","pages":"185-190"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50163710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rie Togawa, Satomi Kanagawa, Saya Fukumoto, Fia Noviyanti, Yukie Hosotani, Daisuke Koizumi, Keishi Iohara, Jun Shimodaira, Susumu Kawasaki
{"title":"[Analysis of Maximum Growth Rate and Construction of Predictive Growth Model for Bacillus cereusin Mashed Potato by Calorimetric Method].","authors":"Rie Togawa, Satomi Kanagawa, Saya Fukumoto, Fia Noviyanti, Yukie Hosotani, Daisuke Koizumi, Keishi Iohara, Jun Shimodaira, Susumu Kawasaki","doi":"10.3358/shokueishi.64.200","DOIUrl":"10.3358/shokueishi.64.200","url":null,"abstract":"<p><p>The maximum growth rate (μ<sub>max</sub>) of Bacillus cereus was estimated using a non-destructive isothermal calorimetric method, and a growth prediction model was constructed based on the measurement results. SCD medium and mashed potato were inoculated with serial-diluted inoculum of B. cereus. Heat generation curves were determined using an isothermal calorimeter at 35, 25, and 15℃. The μ<sub>max</sub> was determined from the relationship between the increase in B. cereus cell number and incubation time, which was detected through the heat generation of the B. cereus biological process. Moreover, the growth prediction model was constructed using Ratkowsky's square-root model. The results of the growth prediction model based on the data of the calorimetric and conventional culture methods for SCD were expressed as √μ<sup>Cal</sup><sub>max</sub>=0.0354 (T-4.9)[R<sup>2</sup>=0.99] and √μ<sup>CCM</sup><sub>max</sub>=0.0335 (T-5.0)[R<sup>2</sup>=0.99]; a similar equation was provided by both methods. Conversely, the results of the growth prediction model based on the calorimetric method data for mashed potato were given as √μ<sup>Cal</sup><sub>max</sub>=0.0390 (T-8.5)[R<sup>2</sup>=0.99]; the maximum growth rates at 30 and 20℃ were predicted as 0.70 and 0.20 (1/hr), respectively. The maximum growth rates obtained using the conventional culture method were 0.63 and 0.29 (1/hr), respectively, similar to the calorimetric method results. The predictive microbiological analysis using the calorimetric method enabled the rapid provision of a growth prediction equation, and the number of samples could be substantially reduced compared with that for the conventional culture method.</p>","PeriodicalId":54373,"journal":{"name":"Food Hygiene and Safety Science","volume":"64 6","pages":"200-205"},"PeriodicalIF":0.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139089372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}