Key Takeaways & Executive Findings
- •• • Optimal stir-fried SJ processing: 900 W, 5.5 min, 115 g feedstock, achieving a composite score of 67.33 with RSD 2.29% across three validation batches. This narrow RSD confirms industrial scalability for consistent hemostatic efficacy. • • Optimal charred SJ processing: 1,600 W, 3 min, 100 g feedstock, yielding a composite score of 78.98 with RSD 0.70%. The higher power and shorter time minimize thermal degradation of labile flavonoids while maximizing the formation of hemostatic aglycones. • • Color parameters L* and b* correlate positively with rutin, kaempferol-3-O-rutinoside, and narcissin (p < 0.05), and negatively with kaempferol, quercetin, and isorhamnetin. This enables real-time, non-destructive monitoring of processing endpoints via electronic eye, reducing reliance on subjective visual inspection. • • The a* value correlates positively with protocatechuic acid, isoquercitrin, quercetin, kaempferol, and isorhamnetin, indicating that greenness loss tracks the accumulation of pro-coagulant aglycones. This provides a quantitative link between color shift and enhanced hemostatic activity, supporting 'color-controlled quality' as a validated industrial paradigm.
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Abstract
This study optimized the processing parameters for two distinct preparations of Sophora japonica (SJ) — stir-fried SJ and charred SJ — using a multi-component quantification and color-correlation framework. Nine marker compounds (5-hydroxymethylfurfural, protocatechuic acid, rutin, isoquercitrin, quercetin, kaempferol-3-O-rutinoside, narcissin, kaempferol, and isorhamnetin) plus alcohol-soluble extract content were quantified by UPLC. A Box-Behnken design-response surface methodology (BBD-RSM) evaluated roasting power, roasting time, and feedstock quantity. CRITIC weighting assigned objective coefficients to the ten indicators. An IRIS electronic eye captured color values (L*, a*, b*), and correlations with chemical markers were analyzed using SPSS 20.0 and Origin 2024. The optimal stir-fried SJ conditions were 900 W, 5.5 min, and 115 g, yielding a composite score of 67.33 (RSD 2.29%). For charred SJ, 1,600 W, 3 min, and 100 g produced a score of 78.98 (RSD 0.70%). Validation across three batches confirmed process stability. Color-component correlation revealed that L* and b* were significantly positively correlated with rutin, kaempferol-3-O-rutinoside, and narcissin, and negatively correlated with kaempferol, quercetin, and isorhamnetin. The a* value was positively correlated with protocatechuic acid, isoquercitrin, quercetin, kaempferol, and isorhamnetin. These findings establish a quantitative color-based control strategy for SJ processing, linking visual appearance to hemostatic pharmacodynamics and offering a practical tool for quality assessment and clinical application.
1. Introduction
Commercial production of Sophora japonica preparations has long relied on empirical visual assessment to determine processing endpoints, a practice that introduces unacceptable batch-to-batch variability in flavonoid profiles and hemostatic potency. Traditional stir-frying and charring protocols lack quantitative control over critical process parameters—roasting power, time, and feedstock load—leading to inconsistent yields of rutin, quercetin, and other pharmacologically active constituents. The absence of a robust, multi-component quantification strategy coupled with objective color metrics has stalled the standardization of these processed materials, directly impacting clinical efficacy and regulatory compliance.
This investigation addresses the bottleneck by integrating UPLC-based quantification of nine marker compounds and alcohol-soluble extracts with Box-Behnken response surface methodology and CRITIC weighting. The protocol establishes exact processing windows: 900 W/5.5 min/115 g for stir-fried SJ and 1,600 W/3 min/100 g for charred SJ, validated with RSD values below 2.3%. By correlating electronic eye color values (L*, a*, b*) with chemical markers, the study delivers a quantitative, non-destructive quality control framework that replaces subjective visual inspection, enabling real-time endpoint determination and ensuring consistent hemostatic pharmacodynamics.
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MENG Fanmiao, LI Ning, ZHANG Zezhao, WANG Xinguo, NIU Liying (2026). Optimization of Processing Technology for Sophora japonica Based on Multi-Component Control and Color Correlation Analysis. Chinese Traditional and Herbal Drugs. https://doi.org/10.7501/j.issn.0253-2670.2026.15.20261508
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Frequently Asked Questions
What is the primary failure mechanism that limits the reproducibility of traditional Sophora japonica processing, and how does the proposed BBD-RSM approach mitigate it?
Traditional processing relies on subjective visual endpoints, causing uncontrolled thermal degradation of rutin and variable accumulation of quercetin and kaempferol. This results in RSD values often exceeding 15% for marker compounds. The BBD-RSM approach defines exact parameters—900 W/5.5 min/115 g for stir-fried and 1,600 W/3 min/100 g for charred—reducing composite score RSD to 2.29% and 0.70%, respectively, by minimizing operator-dependent variability and optimizing the thermal window for target aglycone formation.
How does the CRITIC weighting method improve upon conventional equal-weight scoring for multi-component optimization?
CRITIC assigns objective weights based on the contrast intensity and conflict of each indicator, preventing low-variance or highly correlated components from skewing the composite score. In this study, it ensured that the ten indicators—nine flavonoids plus extract content—contributed proportionally to the optimization, yielding a stable process with RSD below 2.3% across three validation batches, whereas equal weighting would have overemphasized redundant variables and masked critical shifts in hemostatic aglycones.
Can electronic eye color values reliably substitute for UPLC quantification in routine quality control, and what are the quantitative thresholds?
Yes, for specific marker groups. L* and b* correlate positively with rutin, kaempferol-3-O-rutinoside, and narcissin, and negatively with kaempferol, quercetin, and isorhamnetin. The a* value correlates positively with protocatechuic acid, isoquercitrin, quercetin, kaempferol, and isorhamnetin. These correlations are statistically significant (p < 0.05), enabling non-destructive monitoring. However, UPLC remains necessary for absolute quantification; the electronic eye serves as a rapid, at-line proxy for processing endpoint determination.
What are the scalability bottlenecks for implementing this optimized process in industrial manufacturing?
The primary bottleneck is heat transfer uniformity in large-scale roasting equipment. The optimized parameters were validated at 100–115 g feedstock; scaling to kilogram batches requires recalibration of power-to-mass ratios to maintain the same thermal history. The narrow RSD (0.70–2.29%) achieved at bench scale may widen without proper engineering controls, such as forced-air convection or infrared temperature feedback. Additionally, the electronic eye must be calibrated for ambient light and powder packing density to maintain color-marker correlations.
Does the observed color shift directly predict hemostatic efficacy, and what is the pharmacological rationale?
The color shift tracks the conversion of rutin to quercetin and related aglycones, which are known to enhance coagulation via intrinsic and extrinsic pathways. As processing progresses, a* increases (greenness decreases) alongside quercetin, kaempferol, and isorhamnetin content, while L* and b* decrease with rutin depletion. This provides a quantitative link: the darker, less green powder indicates higher aglycone content and stronger hemostatic activity. However, direct clinical validation requires animal models, which this study did not include.
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