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Article

Research on the Process and Quality of Prepacked Braised Meat Products

1
Food Laboratory of Zhongyuan, Beijing Technology and Business University, Beijing 100048, China
2
Food Laboratory of Zhongyuan, Luohe 462300, China
3
Beijing Life Science Academy, Beijing 102209, China
4
Key Laboratory of Flavor Science of China General Chamber of Commerce, Beijing Technology and Business University, Beijing 100048, China
*
Authors to whom correspondence should be addressed.
Foods 2025, 14(22), 3937; https://doi.org/10.3390/foods14223937 (registering DOI)
Submission received: 26 August 2025 / Revised: 7 November 2025 / Accepted: 13 November 2025 / Published: 17 November 2025
(This article belongs to the Special Issue Food Preservation: Traditional and Modern Processes and Strategies)

Abstract

The processing technique critically determines the quality of prepackaged braised meat products. This study aimed to evaluate the effects of an innovative processing method against traditional methods on the product’s shelf-life and quality attributes. Results: no significant difference in shelf-life was observed between the experimental and control groups. However, the innovative method significantly improved product quality. The experimental group exhibited a redder and bluer color, significantly higher hardness (2–4 times, p < 0.01) and chewiness, alongside better moisture retention and meat yield. Sensory evaluation confirmed an overall preference for the experimental group (p < 0.05). Flavor profile analysis revealed a greater number and more stable retention of key flavor compounds (alcohols, ketones, and ethers) in the experimental group. The innovative processing method optimizes traditional techniques by significantly enhancing the physicochemical, textural, sensory, and flavor properties of prepackaged braised meat, without compromising shelf-life, providing a novel strategy for producing high-quality products.

Graphical Abstract

1. Introduction

In the context of rapidly evolving consumer lifestyles, convenient and time-efficient food options have gained increasing popularity. Traditional Chinese prepackaged braised meat products are typically prepared from raw meat through blanching and subsequent cooking with diverse spices (e.g., star anise, cassia bark) and seasonings (e.g., salt, monosodium glutamate), resulting in a product known for its appealing color, rich flavor, fragrant aroma, and characteristic chewiness [1]. However, most such products are currently sold in bulk without effective sterilization. Due to their high protein content and water activity, they are susceptible to microbial contamination, which compromises both shelf stability and food safety [2]. While high-temperature and high-pressure sterilization can extend shelf life, it often leads to excessive heat exposure, causing deterioration of heat-sensitive nutrients, accelerated browning, and loss of the distinctive texture [3], thereby reducing consumer acceptance. Furthermore, traditional braising processes entail significant time and labor inputs, which constrains production efficiency. Thus, developing innovative processing techniques that balance shelf-life extension with the preservation of sensory, nutritional, and textural qualities while also reducing costs represents a critical challenge for the industry.
Current research remains limited in several key aspects: studies often focus on total flavor compounds or overall sensory evaluation, lacking a detailed analysis of the dynamic changes in critical flavor components or the interactions between spices and meat during sterilization. Moreover, claims regarding nutrient retention particularly protein content are frequently inadequately supported by statistical significance. Existing shelf-life assessments predominantly rely on fixed-temperature storage tests (e.g., 25 °C or 30 °C), failing to incorporate predictive models such as the Q10 coefficient method with multi-temperature gradients (e.g., 35 °C and 45 °C). This omission hinders the ability to scientifically project shelf life under diverse real-world storage conditions, such as refrigerated (10 °C) or ambient-temperature (30 °C) environments [4,5,6]. In response, this study introduces an innovative processing method that eliminates traditional prolonged braising. Instead, blanched raw meat is vacuum-sealed with spice seasoning packets and subjected to precisely controlled high-temperature sterilization, wherein the heating process simultaneously achieves cooking and preservation. This approach significantly shortens production cycles, enhances efficiency, and mitigates flavor and texture degradation. By integrating multi-temperature accelerated shelf-life testing and advanced flavor profiling, this research not only establishes a scientific basis for predicting shelf life under varying conditions but also provides new insights into dynamic flavor changes and nutrient retention, thereby offering a comprehensive solution for the production of high-quality, safe, and stable prepackaged braised meat products.

2. Materials and Methods

2.1. Materials

The principal ingredients employed in this study, beef shank meat (specifically from the flexor digitorum profundus and associated muscles, characterized by its high collagen and connective tissue content), boneless pork tenderloin (psoas major muscle), skinless, boneless chicken breast (Pectoralis major muscle), as well as spices and seasonings, were procured from the Dennis Fresh Supermarket in Luohe City, Henan Province, China. The vacuum bags (dimensions: 30 cm × 40 cm × 0.2 mm; material: PA + RCPP) utilized in the experiment were acquired from the official flagship store on Taobao.com. The experimental apparatus encompasses a vacuum packaging machine (model: DZ-400/2SB, manufacturer: Dongfeng Packaging, Wenzhou, China), an automatic autoclave (model: PHM-100, manufacturer: SunyOungster, Shanghai, China), a constant-temperature drying oven (model: DGH-9070B, manufacturer: OLABO, Jinan, China), an electronic balance (model: JA3203X, manufacturer: D&T, Tianjin, China), a texture analyzer (model: CTX, manufacturer: Brookfield, MA, USA), a colorimeter (model: RM200QC, manufacturer: x-rite, Grand Rapids, MI, USA), an automatic Kjeldahl nitrogen analyzer (model: K1160, manufacturer: Hanon, Jinan, China), and Top air solid phase microextraction and gas chromatography-mass spectrometry (HS-SPME-GC-MS) system (model: 8890 + 5977B, manufacturer: Agilent, Shanghai, China).

2.2. Preparation of the Experimental Group

The beef shank meat (BS), boneless pork tenderloin (PS), and boneless chicken breast (CS)were cut into pieces weighing 200 g each and placed in cold water. Once the water reached a boiling state, the meat pieces were blanched for 1.5 min. After blanching, the meat was allowed to cool to room temperature. Subsequently, the cooled meat pieces, a spice mixture, and seasonings were placed into a vacuum bag and sealed using a vacuum sealer. Then, the sealed bag was placed in a pressure steam sterilizer and sterilized at 121 °C for 20 min. The specific procedure is depicted in Figure 1. Following the path indicated by the purple arrow, BS was used as the reference point.

2.3. Preparation of the Control Group

Beef shank meat (BCP), boneless pork tenderloin (PCP), and boneless chicken breast (CCP) were selected, cut into pieces weighing 200 g each, and placed in cold water. Once the water reached the boiling point, the meat was blanched for 1.5 min; the meat pieces were then transferred to cold water for a 30 min immersion. The meat pieces, spice packets, and seasonings were added to a 400-mL container. The contents were brought to a boil over high heat, then the heat was reduced, the contents were brought to a simmer and cooked for 2 h [7]. After cooking, the meat pieces were allowed to soak in the broth for an additional 12 h. Subsequently, the meat pieces were placed into vacuum bags and sealed using a vacuum sealing device. Finally, the meat was sterilized in a pressure steam sterilizer at 121 °C for 20 min. For the specific procedure, refer to Figure 1, taking BCP as an example and following the path indicated by the green arrow.

2.4. Shelf-Life Test

The shelf-life of the samples was assessed via high-temperature destructive testing [8]. The sterilized experimental and control samples were, respectively, stored in constant temperature environments at 35 °C and 45 °C; tolerance limit for storage temperature was 1 °C. Based on the data obtained from preliminary experiments, sampling and testing of the samples were conducted every 20 days commencing from the 80th day. The testing items and methods are as follows: Salmonella (S) was tested in accordance with GB4789.4-2024 [9]; Listeria monocytogenes (LM) was detected by employing the first method of GB4789.30-2016 [10]; Staphylococcus aureus (SA) was tested using the second method of GB4789.10-2016 [11]; Total bacterial count (TC) was measured according to GB4789.2-2022 [12]; Total coliforms value (TCV) were detected using the second method of GB4789.3-2016 [13]. According to the following formula, the shelf-life of the product under different temperature conditions can be derived [14,15].
Q 10 = F 1 F 2 × 10 T 2 T 1
F = T 1 T 10 × Q 10 × F 1
F1 is the shelf-life at T1 (35 °C), F2 is the shelf-life at T2 (45 °C), and F is the shelf-life at room temperature T (25 °C).

2.5. Color Difference Test

Drawing upon Wang’s research [16] methodology, the experimental and control groups underwent a cross-sectional incision (with an approximate area of 25 square centimeters and a thickness spanning from 2 to 3 cm). A color difference meter was employed to measure the surface color of the samples. The lightness (L*), red-green chromaticity (a*), yellow-blue chromaticity (b*), chroma (c*), and hue angle (h°) of the samples were documented. Each group of samples was measured three times repeatedly, and the mean values were computed. The chromaticity coordinates, including c* and h°, were calculated from the a* and b* values according to the CIE recommendations, using the following equations:
C * = a * 2 + b * 2
h ° = a t a n 2 ( b * , a * )

2.6. Texture Property Test

In accordance with the approach of Luzardo et al. [17], this study employed a CTX texture analyzer to conduct measurements on samples from both the experimental and control groups. The specific experimental procedures were as follows: prior to measurement, the samples were stored in an environment at 4 °C for one hour. Subsequently, filter paper was utilized to eliminate surface moisture from the samples, and they were manually sectioned into cubes with dimensions of 1 cm × 1 cm × 1 cm. All muscle samples were cut along the fiber direction. A P/40 cylinder probe was chosen for the testing process. During the test, the samples were vertically compressed along the muscle fibers to 50% of their initial height. The instrument parameters were configured, with the probe speed set at 5 mm/s before the test, 2 mm/s during the test, and 2 mm/s after the test and trigger force was 5 g. Each group of samples was measured three times, and the final result was determined as the average of these measurements.

2.7. Moisture Content Test

The determination was carried out using the direct drying method stipulated in GB5009.3-2016 [18] “Determination of Water in Food”.

2.8. Yield Test

The yield (Y) of the final meat product, representing the mass ratio of the final product to the pre-processed (cut and cleaned) meat pieces, is calculated using: Y = m 2 m 1 × 100 % [19].
Y: Yield of the final meat product (%);
m1: Mass of the meat pieces after cutting and cleaning (unit: g);
m2: Mass of the final meat product (unit: g).

2.9. Protein Content

The protein content in meat after 200 days was determined by Kjeldahl nitrogen determination method specified in GB5009.5-2016 [20].

2.10. Determination of Volatile Flavor Compounds

This research utilized HS-SPME-GC-MS to examine the disparities in volatile flavor compounds between the experimental group and the control group at both the initial stage and after 200 days of long-term storage. During the experimental process, the extraction head was aged at 250 °C for 5 min. Two grams of meat specimens were minced and placed into a headspace extraction vial, followed by the addition of 3 mL of saturated NaCl solution (GC Grade). The specimens were heated and agitated at 60 °C for 20 min, then subjected to extraction for 40 min, desorbed at 250 °C for 5 min, and analyzed using the pulse non-split mode. A DB-Wax column (60 mm × 0.25 mm × 0.25 μm) was employed, with nitrogen gas (purity ≥ 99.999%) serving as the carrier gas. The flow rate was set at 1.00 mL/min, the column head pressure was maintained at 2.4 kPa, and the detector temperature was set at 250 °C. The column was initially heated to 35 °C and held for 1 min, then the temperature was elevated to 100 °C at a rate of 2 °C/min and held for 1 min; it was further increased to 170 °C at a rate of 2 °C/min and held for 1 min; finally, it was raised to 250 °C at a rate of 5 °C/min and held for 3 min. The mass spectrometry analysis conditions encompassed an electron impact ion source with an electron energy of 70 eV, both the transfer line temperature and the ion source temperature set at 250 °C, a mass scan range of m/z 30–550, full-scan mode, and standard tuning files [21]. Gas chromatography-mass spectrometry (GC-MS) can be utilized to conduct qualitative analysis and relative quantitative analysis (based on ion fragments) of volatile flavor components in meat specimens.

2.11. Sensory Evaluation

Sensory evaluation of the samples was performed with reference to the sensory identification requirements stipulated in the Chinese National Recommended Standard GB/T 22210-2008 [22] (Specifications for Sensory Evaluation of Meat and Meat Products), A trained panel of ten assessors (five males and five females, aged 25–35 years) was selected and underwent four weeks of training prior to the formal evaluation. All samples were labeled with random three-digit codes and presented to the assessors following a Latin square design to balance the serving order across the panel. This ensured that each sample appeared an equal number of times at each serving position. Evaluations were conducted in individual sensory booths under controlled environmental conditions: temperature of 22 ± 2 °C, relative humidity of 50 ± 5%, illumination of 500–750 lux, and background noise maintained below 40 dB. A 5 min interval was enforced between samples, during which assessors were required to rinse their mouths with distilled water to minimize carryover effects. Samples were uniformly prepared as 2 cm3 cubes, equilibrated to room temperature (approximately 25 °C) before serving. The sensory attributes were assessed using a 20-point intensity scale (0 = extremely poor, 20 = extremely good) for the following parameters: color (uniformity/brightness), flavor (absence of off-flavors), chewiness (mouthfeel acceptability), and texture (absence of cracks). Overall acceptability was also scored on the same 20-point scale, making the theoretical maximum total score 100 points.

2.12. Statistical Analysis

In this study’s statistical analysis, the paired comparison chart method in OriginPro2021 was employed, with significance marked by ‘top letters’ indicating statistically significant differences between groups. Error bars were plotted using ‘standard deviation (SD)’ to reflect data dispersion. The Dunn–Sidak method was employed for mean comparison, which provides a visual and quantitative basis for assessing inter-group differences in research conclusions by performing a corrected test on the means of multiple datasets.

3. Results and Discussion

3.1. Shelf-Life Analysis

3.1.1. Total Bacterial Colony Analysis

The TC was determined according to the Chinese National Standard GB 4789.2-2022 [23], the TC in food shall not exceed 1.0 × 105 CFU/g (CFU: Colony-Forming Units). Meat products that exceed this standard are regarded as non-compliant. As presented in Table 1, under the condition of 45 °C, the total bacterial counts of BS, BCP, PS, PCP, CS, and CCP all conformed to the national standard of less than 1.0 × 105 CFU/g by the 140th day. Nevertheless, by the 160th day, these counts no longer met the national limit. Conversely, under the condition of 35 °C, the total bacterial counts of BS, BCP, PS, PCP, CS, and CCP remained below 1.0 × 105 CFU/g throughout the 200-day storage period, satisfying the national limit requirements.

3.1.2. Analysis of Coliform Bacteria

Coliforms in the samples were quantified following the method described in the Chinese National Food Safety Standard GB 4789.3-2016 [13], which specifies that the maximum allowable content of coliforms in food shall not exceed 1.0 × 102 CFU/g. When this standard is exceeded, the meat products are deemed to be of non-compliant quality. As presented in Table 1, under storage conditions of 45 °C and 35 °C, the coliform content of samples from groups BS, BCP, PS, PCP, CS, and CCP all conformed to the national limit standards by the 200th day of storage, with the content being below 1.0 × 102 CFU/g.

3.1.3. Pathogenic Bacteria Analysis

Based on the data presented in Table 1, under the storage conditions of 45 °C and 35 °C, the contents of Listeria monocytogenes, Salmonella, and Staphylococcus aureus in the BS, BCP, PS, PCP, CS, and CCP groups throughout the 200 day storage period all complied with the relevant provisions of GB 29921-2016 [24] “National Food Safety Standard-Maximum Levels of Pathogenic Bacteria in Prepackaged Foods”.

3.1.4. Calculate Shelf-Life

Based on the aforementioned analysis, the shelf-life of the three meat samples and their corresponding controls under a temperature of 45 °C is 140 days, whereas under a temperature of 35 °C, it surpasses 200 days (designated as 200 days). Computational results indicate that the Q10 value is approximately 1.43. In accordance with relevant formulas, the shelf-life can exceed 286 days, the propagation uncertainty for the room temperature life is 46 days (Table 2).

3.2. Color Difference Analysis

As presented in Figure 2, following a 200 day experimental duration, the L* values (indicators of brightness) of both the experimental groups (BS-200, PS-200, CS-200) and the control group (BCP-200, PCP-200, CCP-200) demonstrated a downward tendency, signifying a shift towards darker colors. In the majority of samples, the a* values, which serve as indicators of the red-green hue, increased over time, suggesting a proclivity towards reddish tones; nevertheless, the a* values of BCP samples marginally decreased. Further examination disclosed that the samples in the experimental group generally manifested a tendency to shift towards reddish and bluish tones (an increase in a* values and a decrease in b* values), whereas the samples in the control group generally displayed a tendency to shift towards reddish and yellow tones (an increase in both a* and b* values). Notably, the BCP samples (a part of the control group) exhibited distinctive characteristics, with both their a* and b* values decreasing. Specifically, this phenomenon may be ascribed to the coarse attributes of beef muscle fibers. When muscle fibers are severed, their cross-section presents a regular arrangement of convex and concave structures, which are termed gratings in the field of optics. The grating effect leads to the mutual interference of incident light [25].

3.3. Texture Analysis

In this study, as depicted in Figure 3 and Figure 4, the hardness of the experimental groups (comprising BS, PS, CS) and the control group (including BCP, PCP, CCP) exhibited a significant increase over time (ranging from 1 to 200 days). By the 200-day mark, BS attained its peak hardness value of 9034, succeeded by CS with a hardness value of 5198 and PS with a value of 4145. Generally, the hardness of the experimental groups was two to four times greater than that of the control group. Regarding elasticity, both the experimental and control groups demonstrated a notable increase over time. Particularly in PS and CS, the increase in elasticity was most prominent. By the 200 day period, PS and CS reached their maximum elasticity values of 4.73, with BS closely trailing at 3.27. The disparity in elasticity between the experimental and control groups was relatively minor. In terms of chewiness, both groups showed a significant upward trend over time, with CS displaying the most substantial increase (from 4833 to 9988). By the 200 day time point, CS had the highest chewiness at 9988, followed by BS at 8100 and PS at 6843. The chewiness of the experimental group was three to five times higher than that of the control group. Except for PCP, the adhesive properties of both the experimental and control groups augmented over time. BS exhibited the highest adhesive properties at 2481, followed by CS at 2098 and PS at 1439. The adhesive properties of the experimental group were two to four times higher than those of the control group. On the first day and after 200 days, the increases in hardness and chewing strength were predominantly propelled by Maillard cross-linking and gel shrinkage. The increase in adhesion was correlated with anaerobic bacterial extracellular polysaccharides, while alterations in elasticity were a consequence of the equilibrium between oxidative inhibition and non-oxidative degradation [26]. Simultaneously, in comparison with the control group, the experimental group exhibited higher levels of hardness, elasticity, chewing performance, and adhesion. This phenomenon can be attributed to the omission of the brine-cooking process in the experimental processing method [27].

3.4. Moisture Content Analysis

In this study (as presented in Figure 5), the moisture content of the experimental groups (BS, PS, CS) fell within the range of 45.22% to 50.70%, whereas that of the control groups (BCP, PCP, CCP) was between 36.46% and 40.85%. The average moisture content of the experimental groups attained 48.20%, approximately 10 percentage points higher than the 38.86% in the control group. Remarkably, the BS group exhibited a notably significant difference, with its moisture content surpassing that of the BCP group by 12.23%. This disparity mainly originates from two fundamental distinctions in the processing methods: firstly, the experimental group employed direct packaging of raw meat, which precluded water loss during the brine cooking process. Secondly, the spices in the experimental group retained continuous activity, as the proteases they contained continuously decomposed collagen proteins, facilitating the formation of water-retaining gels via polysaccharide compounds [28]. These synergistic effects conferred upon the experimental products remarkable water retention capabilities.

3.5. Analysis of Meat Yield

As depicted in Figure 5, when compared with the control group (BCP, PCP, CCP), the yields of BS, PS, and CS were significantly elevated. Among them, BS exhibited the optimal yield, being 23.72% higher than that of BCP; CS was 19.17% higher than CCP; and PS was 15.8% higher than PCP. The experimental group employed a novel process involving vacuum packaging and sterilization of raw meat, thereby eliminating the traditional brining procedure. This approach effectively mitigated moisture evaporation and the loss of soluble nutrients (such as water-soluble vitamins and minerals) during the processing [29]. In contrast, the control group necessitated dual heating procedures, specifically brining followed by sterilization. Extended heating led to excessive moisture evaporation, nutrient depletion, over-contraction of muscle fibers, and ultimately, a lower meat yield. From the viewpoint of protein denaturation, the single-phase heating in the experimental group gave rise to more uniform protein denaturation, thereby forming a more complete gel network structure with improved water-holding capacity [30]. In the control group, repeated heating, conversely, resulted in excessive protein denaturation and a reduction in water-holding capacity [27].

3.6. Protein Content Analysis

As depicted in Figure 5, the protein content in the experimental groups (BS, PS, CS) was notably higher than that in the control group (BCP, PCP, CCP). Specifically, the protein content in BS was 7.57% higher than that in BCP. Likewise, the protein content in PS was 3.75% higher than that in PCP, and the protein content in CS was 5.09% higher than that in CCP. BS exhibited the highest protein content, reaching 32.03%, whereas CCP had the lowest protein content, at 20.51%. The primary cause can be attributed to the traditional brining method adopted in the control group, which necessitates a longer heating duration and results in a higher degree of protein denaturation. In contrast, the experimental group utilized direct sealing followed by high-temperature sterilization, significantly curtailing the overall heat treatment time and consequently reducing protein thermal denaturation [31]. Moreover, during the entire storage process, the experimental group ensured direct contact between spices and meat. The antioxidant constituents in spices might have decelerated the oxidative degradation of proteins. As research suggests, the polyphenolic compounds present in specific spices (e.g., Sichuan pepper and star anise) exhibit protein-protective characteristics. Additionally, the vacuum-sealing and heating method employed by the experimental group minimized oxygen exposure, thereby further mitigating protein oxidation [32]. In comparison, the control group’s exposure to air during brining increased the risk of protein oxidation.

3.7. Sensory Evaluation Analysis

As depicted in Figure 6, the experimental group exhibited remarkable superiority over the control group in all dimensions of sensory evaluation, especially in terms of color. Specifically, BS performed optimally across all evaluation indicators, attaining a comprehensive score of 88.3, which was 14.2 points higher than BCP’s score of 74.1. Simultaneously, PS scored 18.1 points higher than PCP, and CS scored 13 points higher than the CCP sample.

3.8. Analysis of Volatile Flavor Substances

This research utilized HS-SPME-GC-MS to analyze volatile flavor compounds at the initial and final stages of the shelf-life for the experimental groups (BS, PS, CS) and the control groups (BCP, PCP, CCP). As presented in Table 3, a cumulative total of 186 volatile flavor compounds were detected in all samples, encompassing acids (10), alcohols (40), aldehydes (13), alkanes (25), alkenes (24), aromatic hydrocarbons (5), esters (23), ethers (6), ketones (21), phenols (6), pyrazines (3), sulfides (2) and others (9). The experimental group exhibited a superior capacity for flavor retention compared to the control group, with a greater number of detected compounds. Key flavor components, such as alcohols, ketones, and ethers, demonstrated higher stability. Alcohols (e.g., 1-octenyl-3-alcohol) contribute to the complex flavors characteristic of mushrooms, whereas ketones (e.g., methyl geranol) impart fruity and green notes. The experimental group adopted shorter heat treatment durations and vacuum packaging to suppress oxidation, facilitating the dynamic development of flavors. Its core advantages lie in the reduction in heating time, the sustained release of spices, and the effective inhibition of oxidation, ultimately leading to the formation of more complex flavor profiles and an enhancement of storage stability. This method is more effective in preserving key flavor compounds such as alcohols, ethers, and ketones. Notably, the levels of aldehydes in the experimental group were lower than those in the corresponding control groups, suggesting more pronounced Maillard reactions and non-enzymatic browning in the control group [33]. Furthermore, the elevation of aldehydes (e.g., n-hexanal) may facilitate lipid oxidation and give rise to “aging flavors” [34]. The experimental group exhibited an absence of sulfides, whereas the control group yielded a positive result for sulfides on the initial day. It is well-established that sulfides can expedite protein degradation [35]. Based on the PCA (Principal Component Analysis) plots (Figure 7), it can be observed that under short-term (1 day) conditions, the experimental group already exhibits significant overall compositional differences compared with the control group, with the separation of BS-1 d from the control group being particularly notable. Under long-term (200 days) conditions, the overall differences between the experimental group and the control group further increase; for instance, the separation of BS-200 d and PS-200 d from the control group becomes even more pronounced. From the analysis of the heatmap of volatile compounds (Figure 7), during the short-term (1 day) period, there are extremely significant or highly significant differences in the contents of various substances such as Hexanal and Eucalyptol between the experimental and control groups. After the long-term (200 days), substances such as Benzene, 1-methoxy-4-(1-propenyl)-, (Z)-, and others still show highly significant content differences between the two groups, and the differential patterns of some substances either remain stable or undergo further changes over time. In summary, both in the short-term and long-term, there are significant differences between the experimental and control groups in terms of overall composition as well as the relative contents of specific volatile substances, with some differences showing an increasing trend over time. The results illustrate that the experimental group presented more excellent flavor characteristics in comparison to the control group. These findings suggest that innovative processing technologies possess significant potential in the food industry, facilitating the production of high-quality products with more long-lasting and stable flavors.

4. Conclusions

This research has devised an innovative processing methodology that eschews traditional brine curing and integrates vacuum packaging with high-temperature sterilization. This approach notably prolongs the shelf life of prepacked braised meat products while conserving their original flavor, nutritional value, and textural properties. Experimental findings indicated that both groups manifested increasing trends in hardness, elasticity, chewiness, and viscosity over time, with the experimental group demonstrating superior performance. The experimental group also exhibited higher water content, product yield, and protein content. Sensory evaluation confirmed its overall advantage in all key attributes. Analysis of volatile flavor compounds revealed that the experimental group retained flavor components more effectively, maintained stable key flavor substances, and delivered a better flavor profile. In conclusion, this approach enhanced prepacked braised meat products across multiple dimensions and showed potential for food industry applications. In the following research, alternative packaging materials and sterilization parameters need to be investigated to further improve prepacked braised meat products quality and shelf life.

Author Contributions

M.Z.: Writing—original draft, Writing—editing, Conceptualization, Data curation, Formal analysis. L.Z., S.C., L.C. and S.S. revised this manuscript. L.L.: Conceptualization, project administration, supervision, writing—review and editing. Y.Z.: Writing—review and editing, Funding acquisition, Conceptualization. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (No. 32372463, 32122069, 32202217), Beijing Life Science Academy (BLSA) (No. 2023600CA0080) and Beijing Outstanding Young Scientist Program (BJJWZYJH01201910011025).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committee of Beijing Technology and Business University (protocol code BTBU202479 and date of approval 11 March 2024) for studies involving humans.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Processing flow diagram of the experimental group (green arrows) and the control group (purple arrows).
Figure 1. Processing flow diagram of the experimental group (green arrows) and the control group (purple arrows).
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Figure 2. Color difference analysis; significant differences are shown by different letters in each column (n = 3, p < 0.01), 200 d (200th day), 1 d (Day 1).
Figure 2. Color difference analysis; significant differences are shown by different letters in each column (n = 3, p < 0.01), 200 d (200th day), 1 d (Day 1).
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Figure 3. (A) Texture curves of BS and BCP (1 d), (B) texture curves of PS and PCP (1 d), (C) texture curves of CS and CCP (1 d), (D) texture curves of BS and BCP (200 d), (E) texture curves of PS and PCP (200 d), (F) texture curves of CS and CCP (200 d).
Figure 3. (A) Texture curves of BS and BCP (1 d), (B) texture curves of PS and PCP (1 d), (C) texture curves of CS and CCP (1 d), (D) texture curves of BS and BCP (200 d), (E) texture curves of PS and PCP (200 d), (F) texture curves of CS and CCP (200 d).
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Figure 4. Texture analysis; significant differences are shown by different letters in each column (n = 3, p < 0.05), 200 d (200th day), 1 d (Day 1), (A) (Hardness), (B) (Springiness), (C) (Chewiness), (D) (Gumminess).
Figure 4. Texture analysis; significant differences are shown by different letters in each column (n = 3, p < 0.05), 200 d (200th day), 1 d (Day 1), (A) (Hardness), (B) (Springiness), (C) (Chewiness), (D) (Gumminess).
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Figure 5. Effects of different processing methods on meat products (200 d): Effect of water content, effect of protein content, effect of yield (n = 3, * p ≤ 0.05, *** p < 0.001, **** p < 0.0001, and ns indicates not significant (p > 0.05).
Figure 5. Effects of different processing methods on meat products (200 d): Effect of water content, effect of protein content, effect of yield (n = 3, * p ≤ 0.05, *** p < 0.001, **** p < 0.0001, and ns indicates not significant (p > 0.05).
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Figure 6. Effects of different processing methods on sensory evaluation of meat products (200 days).
Figure 6. Effects of different processing methods on sensory evaluation of meat products (200 days).
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Figure 7. Principal component analysis and cluster analysis, 200 d (200th day), 1 d (Day 1).
Figure 7. Principal component analysis and cluster analysis, 200 d (200th day), 1 d (Day 1).
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Table 1. Shelf-life microbial analysis.
Table 1. Shelf-life microbial analysis.
SampleTemperature/℃TCV/(CFU/g)TC/(CFU/g)S/(CFU/25 g)SA/(CFU/g)LM/(CFU/g)
80 d
BS35<10<10-<10-
45<10<10-<10-
BCP35<10<10-<10-
45<10<10-<10-
PS35<10<10-<10-
45<10<10-<10-
PCP35<10<10-<10-
45<10<10-<10-
CS35<10<10-<10-
45<10<10-<10-
CCP35<10<10-<10-
45<10<10-<10-
100 d
BS35<10<10-<10-
45<10<10-<10-
BCP35<10<10-<10-
45<10<10-<10-
PS35<10<10-<10-
45<10<10-<10-
PCP35<10<10-<10-
45<10<10-<10-
CS35<10<10-<10-
45<10<10-<10-
CCP35<10<10-<10-
45<10<10-<10-
120 d
BS35<10<10-<10-
45<10<10-<10-
BCP35<10<10-<10-
45<10<10-<10-
PS35<10<10-<10-
45<10<10-<10-
PCP35<10<10-<10-
45<10<10-<10-
CS35<10<10-<10-
45<10<10-<10-
CCP35<10<10-<10-
45<10<10-<10-
140 d
BS35<10<10-<10-
4515<10-<10-
BCP35<10<10-<10-
45130<10-<10-
PS35<10<10-<10-
4544<10-<10-
PCP35<10<10-<10-
4593<10-<10-
CS35<10<10-<10-
4565<10-<10-
CCP35<10<10-<10-
45110<10-<10-
160 d
BS35<10<10-<10-
45>1 × 105<10-<10-
BCP35<10<10-<10-
45>1 × 105<10-<10-
PS35<10<10-<10-
45>1 × 105<10-<10-
PCP35<10<10-<10-
45>1 × 105<10-<10-
CS35<10<10-<10-
45>1 × 105<10-<10-
CCP35<10<10-<10-
45>1 × 105<10-<10-
180 d
BS35<10<10-<10-
BCP35<10<10-<10-
PS35<10<10-<10-
PCP35<10<10-<10-
CS35<10<10-<10-
CCP35<10<10-<10-
200 d
BS35<10<10-<10-
BCP35<10<10-<10-
PS35<10<10-<10-
PCP35<10<10-<10-
CS35<10<10-<10-
CCP35<10<10-<10-
Salmonella (S), Listeria monocytogenes (LM), Staphylococcus aureus (SA), Total bacterial count (TC), Total coliforms value (TCV), “-” not detected.
Table 2. The propagated uncertainty for the extrapolated room-temperature life.
Table 2. The propagated uncertainty for the extrapolated room-temperature life.
ParameterTimeUncertainty (δ)Relative Uncertainty
F2140 days±20 days14.30%
F1200 days±20 days10.00%
Q101.43±0.2517.40%
F286 days±46 days16.20%
Table 3. Volatile flavor substances.
Table 3. Volatile flavor substances.
NO.CompoundsCASSimilarityQuantitative/
Reference Ions
CategoryBS-1BCP-1BS-200BCP-200PS-1PCP-1PS-200PCP-2CS-1CCP-1CS-200CCP-200
1Dimethyl disulfide624-92-09994, 79, 45Ethers-----5.564 ± 0.585-8.204 ± 0.879----
2Hexanal66-25-19956, 44, 41Aldehydes0.991 ± 0.0311.698 ± 0.0980.022 ± 0.0040.917 ± 0.0650.295 ± 0.0781.240 ± 0.0860.049 ± 0.0012.737 ± 0.2060.343 ± 0.0410.633 ± 0.0280.115 ± 0.0292.081 ± 0.136
3Dodecane112-40-39157, 43, 71Alkanes0.486 ± 0.206-0.023 ± 0.0040.374 ± 0.1360.378 ± 0.2250.372 ± 0.335-0.388 ± 0.2520.158 ± 0.0220.239 ± 0.087-0.519 ± 0.173
4Eucalyptol470-82-69843, 108, 81Alcohols3.286 ± 1.5221.636 ± 0.6442.010 ± 0.4981.671 ± 0.9481.999 ± 1.1250.609 ± 0.3135.245 ± 0.2931.317 ± 0.5481.921 ± 0.7860.551 ± 0.3556.436 ± 1.2900.516 ± 0.348
52-Pentyl-furan,3777-69-39781, 82, 138Others---1.518 ± 0.812---1.880 ± 0.627-1.209 ± 0.718-5.848 ± 2.148
64-Octanone589-63-99671, 57, 85Ketones0.237 ± 0.097----0.349 ± 0.154-0.234 ± 0.0580.146 ± 0.0660.196 ± 0.020-0.445 ± 0.040
7Cyclohexane, ethoxy932-92-39885, 57, 41Alkanes-----0.823 ± 0.492-1.691 ± 0.372----
83-methyl-5-propylnonane31081-18-29671, 57, 85Alkanes---0.902 ± 0.448---0.280 ± 0.179----
9Tridecane629-50-59857, 71, 43Alkanes--0.049 ± 0.0320.483 ± 0.5930.287 ± 0.394-0.155 ± 0.0400.684 ± 0.423----
102-Heptanol543-49-79645, 55, 83Alcohols2.341 ± 1.568-1.467 ± 0.036--0.448 ± 0.3172.994 ± 0.1370.918 ± 0.039-0.395 ± 0.0320.691 ± 0.151-
116-Methylhept-5-en-2-one110-93-010043, 108, 41Ketones10.329 ± 0.2237.724 ± 0.3743.748 ± 0.8209.768 ± 0.3426.093 ± 0.4594.299 ± 0.3057.093 ± 0.2947.715 ± 0.60411.056 ± 1.0788.589 ± 0.1774.194 ± 0.8913.550 ± 0.091
12Dimethyl trisulfide3658-80-8100126, 76, 45Ethers12.460 ± 1.28412.131 ± 0.3610.107 ± 0.12814.371 ± 3.359-35.478 ± 5.654-14.159 ± 10.2075.700 ± 1.8742.443 ± 0.1360.618 ± 0.1389.044 ± 3.260
132-Nonanone821-55-69758, 43, 71Ketones1.949 ± 0.054-1.019 ± 0.1650.765 ± 0.0216.097 ± 0.7360.515 ± 0.0181.807 ± 0.0860.559 ± 0.04514.371 ± 0.54812.644 ± 0.1900.589 ± 0.1370.648 ± 0.007
14(E)-1-methyl-4-(prop-1-en-1-yl)benzene2077-30-798132, 117, 115Alkanes0.515 ± 0.0360.721 ± 0.0760.335 ± 0.0400.538 ± 0.030--0.587 ± 0.0030.444 ± 0.0210.119 ± 0.161-0.524 ± 0.069-
15Tetradecane629-59-49557, 71, 43Alkanes1.676 ± 0.1791.215 ± 0.2760.177 ± 0.1351.668 ± 1.2060.631 ± 0.4990.837 ± 0.5970.281 ± 0.0611.161 ± 0.0620.681 ± 0.5150.591 ± 0.4240.142 ± 0.0322.272 ± 0.521
161-Octen-3-ol3391-86-49957, 43, 72Alcohols-1.286 ± 0.094-6.125 ± 0.4070.944 ± 0.0812.479 ± 0.116-7.453 ± 0.477-1.827 ± 0.0490.962 ± 0.21110.899 ± 0.366
17Benzaldehyde100-52-7100106, 105, 77Aldehydes3.513 ± 0.10318.347 ± 1.2800.587 ± 0.1047.854 ± 0.2963.723 ± 0.2648.033 ± 0.578-8.941 ± 1.2373.037 ± 0.4244.306 ± 0.0220.434 ± 0.0945.552 ± 0.132
18Heptadecane629-78-79957, 71, 43Alkanes0.128 ± 0.0880.134 ± 0.076-0.349 ± 0.227-0.500 ± 0.4770.494 ± 0.0821.613 ± 0.6930.067 ± 0.0320.097 ± 0.044-0.109 ± 0.132
19Linalool78-70-69971, 73, 55Alcohols3.081 ± 0.0321.006 ± 0.1353.473 ± 0.6591.250 ± 0.0961.650 ± 0.0970.527 ± 0.0401.980 ± 0.0860.646 ± 0.1791.181 ± 0.1370.692 ± 0.0081.363 ± 0.3160.565 ± 0.018
20(-)-Terpinen-4-ol20126-76-59771, 111, 93Alcohols1.874 ± 0.0390.894 ± 0.1141.779 ± 0.3491.037 ± 0.0871.236 ± 0.059--0.765 ± 0.1981.232 ± 0.173-3.092 ± 0.6900.571 ± 0.027
21(Z)-2-octen-1-ol26001-58-19557, 41, 55Alcohols-------0.250 ± 0.130-0.121 ± 0.009-0.380 ± 0.012
22Heneicosane629-94-79757, 71, 85Alkanes1.180 ± 0.1250.842 ± 0.240-1.310 ± 0.0560.829 ± 0.1431.341 ± 0.1860.250 ± 0.0700.457 ± 0.3500.907 ± 0.1340.440 ± 0.0680.122 ± 0.0131.469 ± 0.211
23Estragole140-67-097148, 147, 117Ethers0.626 ± 0.0160.466 ± 0.0452.222 ± 0.3780.511 ± 0.0200.875 ± 0.053-0.511 ± 0.0250.229 ± 0.1410.679 ± 0.4800.886 ± 0.0081.305 ± 0.2520.412 ± 0.002
24(-)-Borneol464-45-99795, 110, 93Alcohols4.640 ± 0.1112.725 ± 0.2432.240 ± 0.4463.023 ± 0.1271.622 ± 0.0981.266 ± 0.0974.312 ± 0.1601.998 ± 0.4872.061 ± 0.2651.889 ± 0.0172.070 ± 0.4571.625 ± 0.025
25Terpineol98-55-59859, 93, 1 21Alcohols2.453 ± 0.0701.246 ± 0.1671.227 ± 0.2571.454 ± 0.0971.161 ± 0.0280.613 ± 0.0512.304 ± 0.0530.599 ± 0.2760.797 ± 0.1040.704 ± 0.0091.562 ± 0.3540.605 ± 0.003
26(Z)-anethol25679-28-198148, 147, 117Alkenes0.493 ± 0.0341.066 ± 0.1072.896 ± 0.2451.565 ± 0.0290.499 ± 0.0580.459 ± 0.0300.661 ± 0.0111.248 ± 0.4070.966 ± 0.0200.867 ± 0.0182.928 ± 0.3821.054 ± 0.009
27Anethole104-46-1100148, 147, 117Ethers22.976 ± 1.00132.954 ± 3.48458.532 ± 6.82831.522 ± 1.66427.984 ± 0.89714.154 ± 0.59826.974 ± 0.51730.849 ± 6.82129.240 ± 2.13430.008 ± 0.40941.825 ± 11.89028.459 ± 0.580
283-Methoxybenzaldehyde591-31-196135, 136, 77Aldehydes3.029 ± 0.2403.725 ± 0.8641.186 ± 0.3181.450 ± 0.0963.931 ± 0.1163.143 ± 0.1672.212 ± 0.2592.210 ± 0.9622.522 ± 0.2952.604 ± 0.1640.802 ± 0.1682.794 ± 0.110
29Undecane1120-21-49357, 43, 71Alkanes-----0.256 ± 0.032---0.118 ± 0.016-0.413 ± 0.079
30Isopropyl Pentanoate18362-97-59585, 103, 43Esters0.342 ± 0.0330.418 ± 0.026-0.417 ± 0.0410.196 ± 0.0260.519 ± 0.048--0.218 ± 0.0300.241 ± 0.0220.044 ± 0.0060.489 ± 0.040
31Dodecane,4,6-dimethyl61141-72-89771, 57, 85Alkanes0.066 ± 0.0840.695 ± 0.154-0.153 ± 0.1800.104 ± 0.0210.579 ± 0.3490.108 ± 0.011--0.232 ± 0.0170.094 ± 0.0280.165 ± 0.074
32Octadecane593-45-39757, 71, 43Alkanes0.271 ± 0.171----1.325 ± 0.969--1.465 ± 0.042--0.322 ± 0.035
332,6,10-Trimethyltridecane3891-99-49271, 57, 85Alkanes0.575 ± 0.014----0.403 ± 0.0710.071 ± 0.014--0.130 ± 0.014--
34Eicosane112-95-89671, 85, 57Alkanes0.293 ± 0.0440.220 ± 0.1110.137 ± 0.0390.546 ± 0.0070.423 ± 0.0640.399 ± 0.031--0.139 ± 0.0130.213 ± 0.029-0.228 ± 0.052
35Nonadecane629-92-59957, 71, 43Alkanes2.025 ± 0.1331.645 ± 0.4310.308 ± 0.0962.501 ± 0.139-2.514 ± 0.052----0.093 ± 0.014-
361-Dodecanol112-53-89156, 57, 55Alcohols-----0.204 ± 0.022------
37Terpinen-4-ol562-74-39671, 93, 111Alcohols-----0.593 ± 0.0472.550 ± 0.133--0.607 ± 0.012--
38Pentasulfide, dimethyl7330-31-692158, 79, 80Sulfide-1.393 ± 0.214---2.589 ± 1.953------
392,4-dimethylbenzaldehyde15764-16-694133, 134, 105Aldehydes0.476 ± 0.019----0.570 ± 0.1010.182 ± 0.007-0.360 ± 0.0630.562 ± 0.0110.095 ± 0.0210.635 ± 0.034
402,2,4-Trimethyl-1,3-pentanediol diisobutyrate6846-50-09271, 43, 159Esters--0.109 ± 0.039-1.440 ± 0.2400.727 ± 0.073--0.932 ± 0.0601.119 ± 0.1550.112 ± 0.0241.235 ± 0.103
41Hexadecanal629-80-19782, 57, 43Aldehydes1.081 ± 0.0970.292 ± 0.070---0.818 ± 0.084------
42AmphetOthers300-62-99144, 91, 92Others---0.521 ± 0.083--------
433,3,5-trimethylheptane7154-80-59671, 57, 43Alkanes---0.243 ± 0.012--------
44Carbamic acid, monoammonium salt1111-78-09744, 45, 30Others---0.348 ± 0.289--------
45o-Cymene527-84-494119, 134, 91Alcohols-1.219 ± 0.5980.436 ± 0.3010.549 ± 0.508--1.005 ± 0.049--0.134 ± 0.1642.158 ± 0.275-
46Dihydro Tagetone1879-00-19885, 57, 41Ketones---1.281 ± 0.579--------
472-Isopropyl-5-methyl-1-hexanol2051-33-49871, 57, 43Alcohols---0.168 ± 0.012--------
48Cyclooctyl alcohol696-71-99857, 41, 55Alcohols---0.497 ± 0.026--------
49Acetophenone98-86-297105, 77, 120Ketones--0.146 ± 0.0320.896 ± 0.0330.361 ± 0.027-0.161 ± 0.008-0.540 ± 0.1500.399 ± 0.017--
50Citronellol106-22-99869, 41, 81Alcohols0.901 ± 0.0510.361 ± 0.0680.407 ± 0.0920.549 ± 0.0350.101 ± 0.025-1.001 ± 0.039--0.314 ± 0.0130.764 ± 0.162-
512-Acetyl-1H-pyrrole1072-83-99694, 109, 66Others0.576 ± 0.048-0.505 ± 0.2130.801 ± 0.0831.445 ± 0.031-0.916 ± 0.119-0.388 ± 0.074---
522,4-Di-tert-butylphenol96-76-491191, 206, 57Phenols-0.467 ± 0.031-0.511 ± 0.0240.281 ± 0.034---0.307 ± 0.0160.471 ± 0.0460.065 ± 0.0130.611 ± 0.055
533-Methyl-2-Heptanone2371-19-99643, 72, 85Ketones-0.846 ± 0.291----------
545,6-Decanedione5579-73-79985, 57, 41Ketones-1.164 ± 0.900----------
55n-Caproic acid vinyl ester3050-69-99843, 99, 71Esters0.797 ± 0.5831.013 ± 0.176----------
565-Methyl-2-hexanol627-59-89845, 55, 43Alcohols-0.954 ± 0.016----------
572,5-Dimethylbenzaldehyde5779-94-292133, 134, 105Aldehydes-0.457 ± 0.023----------
58o-Anisaldehyde135-02-495136, 77, 135Aldehydes-0.162 ± 0.006----------
59Cinnamic aldehyde14371-10-999131, 132, 103Aldehydes0.288 ± 0.0282.392 ± 0.4430.230 ± 0.068-0.595 ± 0.046----0.250 ± 0.0240.151 ± 0.030-
60Coumarin91-64-593146, 118, 90Ketones-0.449 ± 0.137----------
61Alpha-pinene80-56-89993, 91, 92Alkenes------0.348 ± 0.021-----
62Toluene108-88-39691, 92, 71Aromatics------0.273 ± 0.065-0.989 ± 0.1320.890 ± 0.102--
63Camphene79-92-59993, 121, 79Alkenes--0.175 ± 0.023---0.800 ± 0.032--0.180 ± 0.0231.317 ± 0.357-
64α-Phellandrene99-83-29893, 91, 92Alkenes0.167 ± 0.008-0.228 ± 0.038---0.509 ± 0.016---0.662 ± 0.144-
65β-Myrcene123-35-39893, 69, 41Alkenes------0.674 ± 0.012-----
66alpha-Terpinene99-86-597121, 93, 136Alkenes--0.135 ± 0.025---0.202 ± 0.008---0.360 ± 0.035-
67β-phellandrene555-10-29593, 91, 136Alkenes--0.642 ± 0.257---2.092 ± 0.245---7.080 ± 1.824-
682-Heptanone110-43-09843, 58, 71Ketones0.763 ± 0.028-0.421 ± 0.207---0.395 ± 0.224---0.410 ± 0.1051.249 ± 0.736
69trans-.beta.-Ocimene3779-61-19893, 91, 92Alkenes------0.264 ± 0.024---0.559 ± 0.071-
70gamma.-Terpinene99-85-49893, 91, 136Alkenes--0.234 ± 0.077---0.179 ± 0.126---0.615 ± 0.098-
71(Z)-3,7-dimethylocta-1,3,6,-triene3338-55-49993, 91, 80Alkenes--0.293 ± 0.096---0.455 ± 0.001-----
72Styrene100-42-598104, 103, 78Alkenes0.267 ± 0.060-0.140 ± 0.021-3.234 ± 1.439-0.219 ± 0.015-5.615 ± 2.1315.928 ± 0.2940.241 ± 0.058-
73Terpinolene586-62-999121, 93, 136Alkenes--0.287 ± 0.042---0.251 ± 0.002---0.616 ± 0.106-
742-Heptanol, acetate5921-82-410043, 87, 56Esters--0.217 ± 0.021---0.746 ± 0.036---0.363 ± 0.094-
751-Methyl-3-Prop-1-En-2-Ylbenzene1124-20-593132, 117, 115Aromatics--0.041 ± 0.001---0.060 ± 0.001-----
762,3,5-Trimethylpyrazine14667-55-199122, 42, 81Pyrazine--0.358 ± 0.007---0.415 ± 0.012-----
77Acetic acid64-19-79843, 45, 60Acids2.681 ± 2.446-1.107 ± 0.748-3.654 ± 2.802-2.003 ± 0.185-1.431 ± 0.7400.892 ± 0.626--
78Copaene3856-25-591105, 119, 161Alkenes--0.122 ± 0.002---0.029 ± 0.008---0.084 ± 0.024-
792-Nonanol, acetate14936-66-49543, 87, 55Esters------0.118 ± 0.009---0.071 ± 0.020-
80(+)-2-Bornanone464-49-39795, 81, 108Ketones--0.165 ± 0.062---0.208 ± 0.034---0.074 ± 0.015-
812-Nonanol628-99-99445, 69, 55Alcohols------1.245 ± 0.053--0.455 ± 0.006--
82(Z)-para-2-menthen-1-ol29803-82-59543, 93, 139Alcohols------0.036 ± 0.006---0.022 ± 0.005-
83Bornyl acetate76-49-39995, 93, 121Esters------0.330 ± 0.005---0.303 ± 0.064-
84Camphene hydrate465-31-69671, 43, 69Alcohols------0.090 ± 0.004-----
852-Undecanone112-12-99558, 43, 59Ketones----0.090 ± 0.016-1.039 ± 0.044--0.395 ± 0.003--
86Trans-2-Octen-1-ol18409-17-19657, 41, 55Alcohols------0.056 ± 0.007----0.292 ± 0.004
87Butanoic acid107-92-69460, 73, 42Acids----0.369 ± 0.056-0.230 ± 0.027-----
886-Octen-1-ol, 3,7-dimethyl-, acetate150-84-59781, 95, 69Esters------0.123 ± 0.011---0.198 ± 0.038-
89alpha,alpha-Dimethyl-4-Methylenecyclohexanemethanol7299-42-59759, 81, 93Alcohols--0.083 ± 0.017-0.134 ± 0.005-0.228 ± 0.005---0.183 ± 0.042-
904-Isopropylcyclohex-2-En-1-One500-02-79496, 95, 43Ketones------0.057 ± 0.009---0.109 ± 0.028-
91α-Terpinyl acetate80-26-2100121, 93, 136Esters----0.446 ± 0.008-0.715 ± 0.032-0.458 ± 0.0990.733 ± 0.0311.051 ± 0.2190.453 ± 0.022
92Pentanoic acid109-52-49460, 73, 41Acids----0.497 ± 0.122-0.138 ± 0.083-----
93(1S,4R,5R)-1,3,3-Trimethyl-2-oxabicyclo[2.2.2]octan-5-yl acetate81781-24-09243, 109, 137Esters------0.069 ± 0.004-----
94Geranyl acetate105-87-39969, 68, 41Esters0.558 ± 0.083-0.141 ± 0.045---1.193 ± 0.106---1.242 ± 0.210-
954′-Methylacetophenone122-00-993119, 91, 134Ketones------0.095 ± 0.005-----
96Benzenecarboximidic acid, N-hydroxy-, methyl ester_67160-14-999133, 151, 135Others----15.486 ± 1.737-5.949 ± 0.839-----
97cis-3,7-Dimethyl-2,6-octadien-1-ol106-25-29069, 41, 93Alcohols--0.064 ± 0.016---0.081 ± 0.011---0.123 ± 0.031-
981-(2-Butoxyethoxy)-Ethanol54446-78-59757, 45, 41Alcohols------0.177 ± 0.053-----
99Hexanoic acid142-62-19960, 73, 41Acids----0.738 ± 0.008-0.528 ± 0.144-----
100Geraniol106-24-110069, 41, 68Alcohols3.920 ± 0.350-1.460 ± 0.479---2.842 ± 0.247--0.538 ± 0.0302.838 ± 0.662-
1012-(2-Butoxyethoxy)ethyl acetate124-17-49487, 57, 43Esters------0.096 ± 0.019-----
102Methyleugenol93-15-2100178, 163, 147Phenols--0.401 ± 0.124---0.391 ± 0.039-0.145 ± 0.0170.179 ± 0.0140.253 ± 0.055-
103Octanoic acid124-07-29860, 73, 43Acids----0.240 ± 0.168-0.223 ± 0.054-----
104(1S,2S,4R)-(-)-alpha, alpha-Dimethyl-1-Vinyl-o-Menth-8-Ene-4-Methanol639-99-69373, 59, 107Alcohols------0.037 ± 0.004---0.020 ± 0.005-
105Benzoic acid, 4-methoxy-, methyl ester121-98-295135, 166, 77Esters--0.137 ± 0.049---0.230 ± 0.029---0.098 ± 0.022-
106Ethyl (E)-cinnamate; Ethyl trans-cinnamate; trans-3-Phenyl-2-propenoic acid ethyl ester4192-77-297131, 103, 176Esters------4.062 ± 0.340-0.947 ± 0.135---
107Nonanoic acid112-05-09873, 60, 57Acids----0.514 ± 0.174-0.194 ± 0.032--0.239 ± 0.095--
1083-Allyl-6-methoxyphenol501-19-999164, 149, 131Phenols--0.161 ± 0.077-0.385 ± 0.014-0.475 ± 0.056--0.222 ± 0.0170.129 ± 0.0370.258 ± 0.008
1094-Methoxyphenylacetone122-84-998121, 164, 122Ketones--0.418 ± 0.140-0.727 ± 0.021-0.744 ± 0.097-0.467 ± 0.0460.612 ± 0.0560.328 ± 0.064-
110(E)-1,2-Dimethoxy-4-(1-propenyl)benzene6379-72-296178, 163, 107Phenols------0.169 ± 0.011---0.180 ± 0.038-
111n-Decanoic acid334-48-59273, 60, 129Acids------0.065 ± 0.012-----
1123-Phenyl-2-propene-1-ol104-54-19892, 91, 134Alcohols0.159 ± 0.027-0.318 ± 0.162-0.189 ± 0.009-0.282 ± 0.031---0.114 ± 0.030-
113Eugenol97-53-099164, 149, 131Phenols------0.286 ± 0.024-----
1142-Hydroxycinnamic acid614-60-898146, 118, 90Acids0.438 ± 0.053-0.387 ± 0.181-0.740 ± 0.042-0.561 ± 0.078-0.379 ± 0.061-0.120 ± 0.025-
115Ethyl p-methoxycinnamate1929-30-2100161, 206, 134Esters------1.580 ± 0.139--0.833 ± 0.0910.351 ± 0.0621.052 ± 0.100
116Ethylbenzene100-41-49591, 106, 78Aromatics----0.254 ± 0.029---0.547 ± 0.0520.450 ± 0.025--
117p-Xylene106-42-39591, 106, 105Alcohols----0.254 ± 0.022---0.517 ± 0.0340.402 ± 0.021--
118o-Xylene95-47-69691, 106, 105Aromatics----0.458 ± 0.043---0.995 ± 0.0600.792 ± 0.057--
119Hexanoic acid, ethyl ester123-66-09888, 99, 43Esters----0.710 ± 0.460---1.188 ± 0.4581.837 ± 0.071--
1202-Methyldodecane1560-97-09757, 43, 85Alkanes----0.046 ± 0.027-------
121Hydroxyacetone116-09-69843, 31, 74Ketones----0.395 ± 0.551-------
1221-Hexanol111-27-39256, 43, 55Alcohols----0.064 ± 0.033---0.264 ± 0.0220.378 ± 0.0020.217 ± 0.0480.400 ± 0.023
123Nonanal124-19-69657, 41, 56Aldehydes----0.165 ± 0.056----0.232 ± 0.117--
1242-Methyl-1-Phenylpropene768-49-094117, 132, 115Alkenes----0.134 ± 0.120-------
1252-Octanol123-96-69245, 55, 43Alcohols----0.348 ± 0.078-------
1262-Methoxy-3-Methylbutane62016-49-39159, 58, 43Alkanes----1.717 ± 0.273-------
1272-Ethylhexan-1-ol104-76-79557, 70, 83Alcohols0.853 ± 0.115-0.251 ± 0.049-1.143 ± 0.138---1.984 ± 0.4351.532 ± 0.2060.138 ± 0.0300.919 ± 0.142
128Formic acid64-18-69646, 45, 44Acids----0.575 ± 0.359-------
1293-Furanmethanol4412-91-39698, 77, 97Alcohols--0.081 ± 0.023-0.375 ± 0.003-------
1303,4-Dimethylbenzaldehyde5973-71-796133, 134, 105Aldehydes----0.342 ± 0.007-------
131Bis(2-ethylhexyl) adipate103-23-194129, 70, 147Esters----0.642 ± 0.147-------
132(+)-alpha-Pinene7785-70-810093, 91, 92Alkenes--0.402 ± 0.044-------0.763 ± 0.320-
133Sabinene3387-41-59793, 91, 69Alkenes----------0.141 ± 0.048-
134(+)-3-Carene498-15-79493, 91, 77Alkenes----------0.054 ± 0.016-
135Beta-pinene18172-67-310093, 69, 41Alkenes0.380 ± 0.014-0.549 ± 0.077-------1.428 ± 0.256-
1363-Carene13466-78-99993, 91, 79Alkenes0.290 ± 0.122-0.234 ± 0.023-------0.800 ± 0.142-
1372-Octen-4-one4643-27-09869, 41, 84Ketones----------0.317 ± 0.103-
1381-Pentanol71-41-09542, 55, 70Alcohols----------0.098 ± 0.0120.274 ± 0.275
1392,6-Dimethyl-4-heptanone108-83-89385, 57, 41Ketones----------0.124 ± 0.005-
1403,4-Dimethyl-2,4,6-octatriene57396-75-594121, 105, 136Alkenes----------0.058 ± 0.011-
141(4E,6Z)-2,6-Dimethylocta-2,4,6-triene7216-56-094121, 105, 136Alkenes----------0.039 ± 0.006-
142Formic acid, heptyl ester112-23-29570, 55, 56Esters----------0.054 ± 0.010-
1432-Methyl-2-dodecanol1653-37-89559, 43, 41Alcohols----------0.229 ± 0.044-
1444-Ethylcyclohexanol4534-74-19781, 84, 58Alcohols----------0.053 ± 0.0120.582 ± 0.019
1451-Octanol111-87-59856, 55, 69Alcohols---------0.169 ± 0.0090.075 ± 0.0180.403 ± 0.012
1462-Butylpyridine5058-19-59793, 106, 120Others----------0.135 ± 0.0320.765 ± 0.018
147(E)-para-2-menthen-1-ol29803-81-49543, 93, 139Alcohols----------0.033 ± 0.008-
1482-(4-Methylenecyclohexyl)propan-2-yl acetate93836-50-19693, 43, 136Esters----------0.085 ± 0.020-
149(E)-citral141-27-59869, 41, 84Aldehydes----------0.135 ± 0.034-
150alpha-Curcumene644-30-499119, 132, 105Alkenes---------0.254 ± 0.0050.206 ± 0.043-
151Ethyl cinnamate103-36-6100131, 103, 176Esters--3.933 ± 1.251-------0.978 ± 0.175-
152m-Xylene108-38-39191, 106, 105Alcohols--------0.257 ± 0.0110.221 ± 0.015--
153m-cymene535-77-395119, 134, 91Aromatics0.448 ± 0.324-------0.294 ± 0.279---
154(+)-4-Carene29050-33-79793, 121, 136Alkenes--------0.120 ± 0.054---
155Acetic acid, 2-ethylhexyl ester103-09-39543, 70, 57Esters--------0.116 ± 0.080---
156Phytane638-36-89771, 85, 57Alkanes--------0.096 ± 0.040---
157Naphthalene91-20-395128, 127, 129Others--------0.451 ± 0.044---
158Tetracosane646-31-19857, 71, 85Alkanes0.629 ± 0.134-------0.321 ± 0.101--0.798 ± 0.133
159Benzothiazole95-16-993135, 108, 69Others--------0.304 ± 0.0550.274 ± 0.020--
1603,5-Dimethyloctane15869-93-99657, 43, 71Alkanes-----------0.283 ± 0.050
1615-Methyl-5-propylnonane17312-75-39771, 57, 85Alkanes-----------0.499 ± 0.068
1622-Pentylthiophene4861-58-99097, 154, 98Others-----------0.325 ± 0.226
163Didecyl ether2456-28-29357, 71, 70Ethers-----------0.140 ± 0.090
1641-Heptanol111-70-69570, 56, 55Alcohols-----------0.421 ± 0.006
165Octacosane630-02-49657, 71, 85Alkanes0.171 ± 0.041----------0.180 ± 0.057
166Bornyl acetate5655-61-89595, 93, 121Esters--0.098 ± 0.013------0.141 ± 0.096--
167Dimethyltetrasulfane5756-24-193158, 79, 80Sulfide---------0.798 ± 0.341--
168Geranylacetone3796-70-19343, 69, 136Ketones---------0.227 ± 0.026--
169Dimethyl phthalate131-11-393163, 77, 164Esters---------0.258 ± 0.011--
170(E)-2-methoxy-4-(prop-1-enyl)phenol5932-68-395164, 149, 131Phenols---------0.235 ± 0.025--
171Acetone67-64-19843, 58, 44Ketones--0.263 ± 0.057---------
1721,3,3-trimethyltricyclo[2.2.1.02,6]heptane488-97-19993, 91, 92Alkanes--0.205 ± 0.051---------
1732,6-Dimethylpyrazine108-50-997108, 42, 40Pyrazine--0.165 ± 0.061---------
1743-Ethyl-2,5-diMethylpyrazine13360-65-193135, 136, 108Pyrazine--0.125 ± 0.019---------
1752,6,6-Trimethyl-2,4-cycloheptadien-1-one503-93-593107, 91, 108Ketones--0.050 ± 0.011---------
176(1R,2R,5S)-5-Methyl-2-(prop-1-en-2-yl)cyclohexanol29141-10-49467, 81, 71Alcohols--0.017 ± 0.003---------
1774-n-propylanisole104-45-097121, 150, 122Ethers--0.236 ± 0.043---------
1782,4-Cyclohexadiene-1-methanol1686-20-09494, 59, 79Alcohols--0.059 ± 0.016---------
179Citral5392-40-59469, 41, 84Aldehydes1.234 ± 0.187-0.053 ± 0.013---------
180trans-Calamenene73209-42-494159, 160, 202Alkenes--0.122 ± 0.020---------
1813-Phenylpropanol122-97-491117, 91, 118Alcohols--0.108 ± 0.042---------
182Cinnamyl acetat103-54-891115, 43, 133Esters--0.032 ± 0.017---------
1832,6,10-Trimethyldodecane3891-98-39871, 57, 85Alkanes0.207 ± 0.145-----------
184Acetic acid, 1,7,7-trimethyl-bicyclo [2.2.1]hept-2-yl ester92618-89-89395, 93, 43Acids0.052 ± 0.056-----------
185Tetratetracontane7098-22-89157, 43, 85Alkanes0.190 ± 0.029-----------
186Neral106-26-39669, 41, 109Aldehydes0.559 ± 0.077-----------
“-” Not detected.
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MDPI and ACS Style

Zhao, M.; Zhang, L.; Liang, L.; Sun, S.; Chen, S.; Chen, L.; Zhang, Y. Research on the Process and Quality of Prepacked Braised Meat Products. Foods 2025, 14, 3937. https://doi.org/10.3390/foods14223937

AMA Style

Zhao M, Zhang L, Liang L, Sun S, Chen S, Chen L, Zhang Y. Research on the Process and Quality of Prepacked Braised Meat Products. Foods. 2025; 14(22):3937. https://doi.org/10.3390/foods14223937

Chicago/Turabian Style

Zhao, Mingxia, Lili Zhang, Li Liang, Shihao Sun, Shuxing Chen, Lishui Chen, and Yuyu Zhang. 2025. "Research on the Process and Quality of Prepacked Braised Meat Products" Foods 14, no. 22: 3937. https://doi.org/10.3390/foods14223937

APA Style

Zhao, M., Zhang, L., Liang, L., Sun, S., Chen, S., Chen, L., & Zhang, Y. (2025). Research on the Process and Quality of Prepacked Braised Meat Products. Foods, 14(22), 3937. https://doi.org/10.3390/foods14223937

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