收藏切换
Sensory changes of camel meat at different temperatures and the establishment and validation of a shelf-life model based on sensory differences
收藏切换
PDF
Zeng-Tuo ZHENG1, Jambl TUYATSETSEG2, Ru-Le YI3, Jian-Zhong LIANG4, Liang MING1, 2, *
Journal of Food Safety & Quality | 2025, 16(10) : 1 - 10
Less
收藏切换
Journal of Food Safety & Quality | 2025, 16(10): 1-10
Highlight: The 9th Academic Conference Papers on Food Quality, Safety and Intelligent Testing
Sensory changes of camel meat at different temperatures and the establishment and validation of a shelf-life model based on sensory differences
Full
Zeng-Tuo ZHENG1, Jambl TUYATSETSEG2, Ru-Le YI3, Jian-Zhong LIANG4, Liang MING1, 2, *
Affiliations
  • 1. College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
  • 2. China-Mongolia Joint Laboratory of Biopolymer Application “One Belt One Road”, Hohhot 010018, China
  • 3. Inner Mongolia Guotuo Testing Technology Co., Ltd., Alxa 750306, China
  • 4. Agricultural Technology Extension Center of Alxa Right Banner, Alxa 750306, China
Published: 2025-05-25 doi: 10.19812/j.cnki.jfsq11-5956/ts.20250320001
Outline
收藏切换

Objective To investigate the sensory changes of camel meat stored at different temperatures (4, 15, and 25 ℃) and establish a shelf-life prediction model based on sensory differences. Methods By simulating actual storage conditions, the changes in color, electronic tongue taste indices (umami, saltiness, sourness, sweetness, etc.), and electronic nose olfactory indicators (nitrogen oxides, methane, sulfides, etc.) of camel meat were analyzed. Zero-order reaction kinetics models and the Arrhenius equation were used to fit the data, establishing a shelf-life prediction model based on color, electronic tongue and electronic nose metrics. The model was validated using pH, total bacterial count and total volatile basic nitrogen (TVB-N). Results At 4 ℃, there was no significant change in the lightness (L*) and redness (a*) of camel meat (P>0.05), while the a* value significantly decreased at 15 ℃ and 25 ℃ (P<0.05), and yellowness (b*) showed an upward trend across all temperatures. Taste analysis revealed that umami (AEE), saltiness (CT0), sourness (CA0) and astringency (AE1) intensities increased with time and temperature, whereas sweetness (GL1) intensity decreased. Electronic nose detection found that concentrations of nitrogen oxides (W5S), methane (W1S), sulfides and terpenes (W1W) and alcohol compounds (W2S) significantly increased over storage time. The calculated shelf lives based on color, electronic tongue and electronic nose were 7.23, 6.24 and 6.12 d, respectively. Verification using camel meat stored at 6 ℃ showed high prediction accuracy of the electronic tongue model, but significant discrepancies were observed among shelf lives predicted by different physicochemical indicators (e.g., total bacterial count, pH, TVB-N). Conclusion This study successfully establish a shelf-life prediction model based on sensory characteristics. The prediction models established based on the electronic tongue and electronic nose show good agreement with validation results based on pH, with relative errors of -2.80% and -4.67%, respectively. Different physicochemical indicators have varying degrees of strictness towards meat quality requirements, with total bacterial count being the most stringent and TVB-N relatively more lenient. This study provides a reference for the quality monitoring of fresh camel meat.

camel meat  /  sensory indicators  /  physicochemical indicators  /  divergence degree  /  shelf-life
Zeng-Tuo ZHENG, Jambl TUYATSETSEG, Ru-Le YI, Jian-Zhong LIANG, Liang MING. Sensory changes of camel meat at different temperatures and the establishment and validation of a shelf-life model based on sensory differences[J]. Journal of Food Safety & Quality, 2025 , 16 (10) : 1 -10 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20250320001
Year 2025 volume 16 Issue 10
PDF
358
143
Cite this Article
BibTeX
Article Info
doi: 10.19812/j.cnki.jfsq11-5956/ts.20250320001
  • Receive Date:2025-03-20
  • Online Date:2025-07-15
  • Published:2025-05-25
Article Data
Affiliations
History
  • Received:2025-03-20
Funding
Affiliations
    1. College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    2. China-Mongolia Joint Laboratory of Biopolymer Application “One Belt One Road”, Hohhot 010018, China
    3. Inner Mongolia Guotuo Testing Technology Co., Ltd., Alxa 750306, China
    4. Agricultural Technology Extension Center of Alxa Right Banner, Alxa 750306, China
References
Share
https://castjournals.cast.org.cn/joweb/spaq/EN/10.19812/j.cnki.jfsq11-5956/ts.20250320001
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT