scholarly journals Effects of Cooked Rice Flours on Cecal Fermentation in Rats

2017 ◽  
Vol 70 (2) ◽  
pp. 61-67
Author(s):  
Ryuji Nagata ◽  
Ai Sagawa ◽  
Kyu-Ho Han ◽  
Kenichiro Shimada ◽  
Kiyoaki Kato ◽  
...  
Keyword(s):  
2015 ◽  
Vol 61 ◽  
pp. 1-7 ◽  
Author(s):  
Rachel J.-C. Hsu ◽  
Shin Lu ◽  
Yung-ho Chang ◽  
Wenchang Chiang

2018 ◽  
Vol 118 ◽  
pp. 160-167 ◽  
Author(s):  
Adil Muhammad Farooq ◽  
Chao Li ◽  
Siqian Chen ◽  
Xiong Fu ◽  
Bin Zhang ◽  
...  

2013 ◽  
Vol 21 (5) ◽  
pp. 566-571 ◽  
Author(s):  
Qi-Ling SONG ◽  
Yi-Tao QI ◽  
Yi-Peng ZHAO ◽  
Yun-Xia WANG ◽  
Pan-Lin LI ◽  
...  

Biologia ◽  
2021 ◽  
Author(s):  
Md. Sojiur Rahman ◽  
Md. Sohel Rana ◽  
Md. Biplob Hosen ◽  
Md. Ahsan Habib ◽  
Asaduzzaman Nur ◽  
...  

2007 ◽  
Vol 70 (12) ◽  
pp. 2774-2781 ◽  
Author(s):  
I-CHEN YANG ◽  
DANIEL YANG-CHIH SHIH ◽  
JAN-YI WANG ◽  
TZU-MING PAN

Members of the Bacillus cereus group may produce diarrheal enterotoxins and could be potential hazards if they enter the food chain. Therefore, a method capable of detecting all the species in the B. cereus group rather than B. cereus alone is important. We selected nhe as the target and developed a real-time PCR assay to quantify enterotoxigenic strains of the B. cereus group. The real-time PCR assay was evaluated with 60 B. cereus group strains and 28 others. The assay was also used to construct calibration curves for different food matrices and feces. The assay has an excellent quantification capacity, as proved by its linearity (R2 > 0.993), wide dynamic quantification range (102 to 107 CFU/g for cooked rice and chicken, 103 to 107 CFU/ml for milk, and 104 to 107 CFU/g for feces), and adequate relative accuracy (85.5 to 101.1%). For the low-level contaminations, a most-probable-number real-time PCR assay was developed that could detect as low as 100 CFU/ml. Both assays were tested with real food samples and shown to be considerably appropriate for B. cereus group detection and quantification.


2007 ◽  
Vol 71 (12) ◽  
pp. 2912-2920 ◽  
Author(s):  
Toshihisa OHNO ◽  
Makoto TOMATSU ◽  
Kazuki TOEDA ◽  
Naganori OHISA
Keyword(s):  

Author(s):  
Ting Liu ◽  
Binjia Zhang ◽  
Lili Wang ◽  
Siming Zhao ◽  
Dongling Qiao ◽  
...  

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