Acta Agriculturae Zhejiangensis ›› 2021, Vol. 33 ›› Issue (4): 714-723.DOI: 10.3969/j.issn.1004-1524.2021.04.17

• Food Science • Previous Articles     Next Articles

Identification of functional effects of bovine whey protein based on odor information of mouse feces

LONG Ming1,2(), ZHANG Peng1,2, LIU Yuanlin1,2, BAI Xiaoqin1,2, ZHANG Fumei2, TIAN Xiaojing1,2,*(), CAO Hong1, ZHOU Xueyan1, MA Zhongren2, LUO Li3, SONG Li3, Nurul Izza NORDIN4   

  1. 1. College of Life Science and Engineering, Northwest Minzu University, Lanzhou 730124, China
    2. China-Malaysia National Joint Laboratory, Biomedical Research Center, Northwest Minzu University, Lanzhou 730030,China
    3. Gannan Research Institute of Yak Milk, Hezuo 747000, China
    4. Industrial Biotechnology Research Centre, SIRIM Berhad, Shah Alam, Selangor 40700,Malaysia
  • Received:2020-08-05 Online:2021-04-25 Published:2021-04-25
  • Contact: TIAN Xiaojing

Abstract:

In order to establish a new method for nondestructive evaluation of bovine whey protein function based on odor information, the gas sensor array of electronic nose (E-nose) was used to track the flavor of fecal samples of mice affected by bovine whey. The results showed that compared with the NS group, the superoxide dismutase (SOD) activity in the serum of the bovine whey protein test group was increased, and the malondialdehyde (MDA) content was significantly decreased. The bovine whey protein has antioxidant capacity in the mouse serum. The electronic nose experiment showed that the effects of sample weight, headspace generation time, headspace generation volume and flow rate carrier gas on the response signal of the sensor were studied by one-way ANOVA. It was found that the response of E-nose sensors was affected by sample weight, headspace generation time, headspace generation volume and flow rate carrier gas significantly, except for S5. The experiment condition for E-nose was optimized as followed: 1 sample, 10 min of headspace generation time, 150 mL of headspace generation volume and 200 mL·min-1 of carrier gas flow rate. To distinguish the difference of doses of bovine whey protein and control group, principle component analysis (PCA) and canonical discriminant analysis (CDA) could discriminate the samples of different groups, and could distinguish the fecal samples of mice of different cycle groups with different gavage doses. For the prediction of the weight, the multiple linear regression analysis (MLR) was employed, and effect predictive model was built for weight (R2=0.122 7), the effect was acceptable. The typical correlation analysis results showed that the odor information of electronic stool had an excellent correlation with its physiological indicators, and the correlation was strong. Based on the odor of fecal samples of mice, it’s possible to distinguish the effect of bovine whey protein treatment with the controls, providing an idea for the non-invasive evaluation of functional food in vivo.

Key words: electronic nose, bovine whey protein, odor information, aging mice, non-invasive evaluation

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