2022
DOI: 10.1016/j.foodchem.2021.131658
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Physicochemical parameters combined flash GC e-nose and artificial neural network for quality and volatile characterization of vinegar with different brewing techniques

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Cited by 34 publications
(10 citation statements)
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“…E-nose data for C. fimbriata-infected sweetpotatoes at 0 h, 48 h, 64 h, and 72 h were used for discrimination. The division of the data sets referred to the method of Li et al [51]; 70% of the data was selected as the calibration set and 30% as the prediction set. The higher the sensitivity, specificity, precision, and accuracy of the models, the better the performance.…”
Section: Early Discrimination Of C Fimbriata-infected Sweetpotatoes C...mentioning
confidence: 99%
See 1 more Smart Citation
“…E-nose data for C. fimbriata-infected sweetpotatoes at 0 h, 48 h, 64 h, and 72 h were used for discrimination. The division of the data sets referred to the method of Li et al [51]; 70% of the data was selected as the calibration set and 30% as the prediction set. The higher the sensitivity, specificity, precision, and accuracy of the models, the better the performance.…”
Section: Early Discrimination Of C Fimbriata-infected Sweetpotatoes C...mentioning
confidence: 99%
“…These results showed that E-nose could not only discriminate fresh sweetpotatoes (0 h) from C. fimbriata-infected sweetpotatoes but also accurately discriminate infected sweetpotatoes at 48 h, 64 h, and 72 h. At the same time, it also indicated that E-nose can discriminate C. fimbriata-infected sweetpotatoes as early as E-nose data for C. fimbriata-infected sweetpotatoes at 0 h, 48 h, 64 h, and 72 h were used for discrimination. The division of the data sets referred to the method of Li et al [51]; 70% of the data was selected as the calibration set and 30% as the prediction set. The higher the sensitivity, specificity, precision, and accuracy of the models, the better the performance.…”
Section: Early Discrimination Of C Fimbriata-infected Sweetpotatoes C...mentioning
confidence: 99%
“…As an example, volatile components of fish (ammonia, indole, histamine, trimethylamine, and ammonia sulphide) can be used as indicators for detecting changes in freshness ( 8 ). It has been reported that the odour is directly related to the presence of volatile substances ( 9 , 10 ). However, the judgment of food odour depends on human olfactory sensation, which is subjective and affected by the environment and the physical condition of the human, resulting in poor repeatability ( 11 ).…”
Section: Introductionmentioning
confidence: 99%
“…Flavor, which is the sum of taste and smell, is one of the most intuitive and important attributes that affect the quality and consumer acceptance of vinegar. The volatile compounds associated with aroma make a major contribution to flavor, 18 and their unique profile represents the fingerprint of each vinegar. The aroma is considered one of the most important indicators of the quality of vinegar 19,20 …”
Section: Introductionmentioning
confidence: 99%