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In two experiments, the effect of succinate sodium on the metmyoglobin (MetMb) reduction and color stability of beef patties was investigated. In experiment 1, the ground-beef strip loins (longissimus dorsi muscle) were blended with different concentrations of succinate. Enhancing patties with 6 mM succinate significantly increased the MetMb-reducing ability and subsequent color stability during storage. In experiment 2, MetMb and different concentrations of succinate, lactate, and reduced nicotinamide adenine dinucleotide (NADH) were incubated with mitochondria, and their effect on meat MetMb reduction was investigated. Increasing the concentration of NADH and lactate increased MetMb reduction, but only succinate of 16 and 24 mM significantly decreased the relative MetMb percentage compared to other systems. This indicate that there are no significant differences between aerobic and anaerobic MetMb-reducing activities. In comparison to the systems of NADH-MetMb reduction (including the systems of lactate-MetMb reduction), the succinate-MetMb reduction systems are more stable and less affected by oxygen. More identification work is needed to obtain the more complete pathways on MetMb reduction.

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Honeysuckle flower is a common edible-medicinal food with significant anti-inflammatory efficacy. Process quality control of its ethanol precipitation is a topical issue in the pharmaceutical field. Near infrared (NIR) spectroscopy is commonly used for process quality analysis. However, establishing a robust and reliable quantitative model of complex process remains a challenge in industrial applications of NIR. In this paper, modeling design based on quality by design concept (QbD) was implemented for the ethanol precipitation process quality control of Honeysuckle flower. According to the 56 models' performances and 25 contour plots, quadratic model was the best with R adj 2 increasing from 0.1395 to 0.9085, indicating the strong interaction among spectral pre-processing methods, variable selection methods, and latent factors. SG9 and CARS was an appropriate combination for modeling. Furthermore, spectral assignment method was creatively introduced for variable selection. Another 56 models' performances and 25 contour plots were established. Compared with the chemometric variable selection method, spectral assignment combined with QbD concept made a higher R pre 2 and a lower RMSEP. When the latent factors of PLS was small, R pre 2 of the model by spectral assignment increased from 0.9605 to 0.9916 and RMSEP decreased from 0.1555 mg/mL to 0.07134 mg/mL. This result suggests that the variable selected by spectral assignment is more representative and precise. This provided a novel modeling guideline for process quality control in PAT.