Real-time monitoring of CBDA decarboxylation in solid state and cannabis flowers using mid infrared spectroscopy coupled with multivariate analysis

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Olga Gigopulu , Nikola Geskovski , Gjoshe Stefkov , Ana Poceva Panovska , Marjan Piponski , Irena Slaveska Spirevska , Petre Makreski
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引用次数: 0

Abstract

Cannabidiolic acid (CBDA) is found in cannabis as genuine phytocompound of the well-known non-psychoactive cannabinoid - cannabidiol (CBD), notable for its various therapeutic purposes. Decarboxylation of CBDA to CBD is commonly used in the production of finished cannabis products, thus increasing its bioavailability, and making it more effective for various therapeutic purposes. Optimization of decarboxylation time and the possibility of monitoring this process in real-time is quite a challenge for the cannabis producers' R&D divisions, since incomplete decarboxylation is associated with quality and efficiency concerns, whereas prolonged reaction time can lead to potentially lower production efficacy. The purpose of this study is to emphasize the use of mid-infrared (MIR) spectroscopy for in-situ real-time monitoring and understanding of the CBDA decarboxylation process. For the first time, the TG/DTG curves of CBDA provided insights into the solid-solid decarboxylation dynamics, process endpoint, and maximal conversion rate temperature, which were used for designing the subsequent infrared experiments. In addition, the DSC curve illustrated the melting point of the pure CBDA. Temperature-controlled infrared spectroscopy studies were performed on CBDA standard and cannabis flowers followed by precise band assignment and spectra-structure correlations based on the idea of functional group vibrations. In order to investigate the spectral regions of major relevance for the CBDA to CBD interconversion process, a principal component analysis (PCA) was used. In the obtained models, PC1 was capable to describe 81.3 %, 77.8 % and 77 % of the total spectral fluctuations in the CBDA standard and two plant samples, respectively. The PC1 score plot of the CBDA standard (as a function of temperature) showed a perfect complementarity to the TG/DTG curve, indicating that PC1 of the MIR spectrum model may quantitatively describe the CBDA decarboxylation dynamics, which allowed for the derivation of decarboxylation rate constants for the CBDA standard and the plant material at prechosen temperatures. The temperature-controlled experiments revealed significantly higher kinetics constants of CBDA decarboxylation in the plant material compared to the CBDA standard and supported the assumption that the complex matrix in cannabis plants accelerates the conversion of CBDA to CBD. In this way, progress in the development and optimization of an efficient and fast approach for monitoring and elucidation of the phytocannabinoid decarboxylation process was made, launching the possibility for further employment in the medical cannabis industry.

利用中红外光谱和多元分析对固态和大麻花中的 CBDA 脱羧过程进行实时监测
大麻二酚酸(CBDA)作为众所周知的非精神活性大麻素--大麻二酚(CBD)的真正植物化合物存在于大麻中,因其各种治疗用途而闻名。将 CBDA 脱羧成 CBD 通常用于生产大麻成品,从而提高其生物利用率,使其更有效地用于各种治疗目的。对于大麻生产商的研发部门来说,优化脱羧时间和实时监控这一过程的可能性是一个相当大的挑战,因为不完全脱羧会带来质量和效率问题,而反应时间过长则可能导致生产效率降低。本研究旨在强调使用中红外(MIR)光谱对 CBDA 的脱羧过程进行原位实时监测和了解。CBDA 的 TG/DTG 曲线首次揭示了固-固脱羧动态、过程终点和最大转化率温度,并用于设计后续的红外实验。此外,DSC 曲线还显示了纯 CBDA 的熔点。对 CBDA 标准品和大麻花进行了温控红外光谱研究,然后根据官能团振动的思想进行了精确的波段分配和光谱-结构相关性分析。为了研究 CBDA 与 CBD 相互转化过程中的主要相关光谱区域,采用了主成分分析法(PCA)。在获得的模型中,PC1 能够描述的光谱波动分别占 CBDA 标准样品和两种植物样品光谱波动总量的 81.3%、77.8% 和 77%。CBDA 标准物质的 PC1 分值图(与温度的函数关系)与 TG/DTG 曲线显示出完美的互补性,表明近红外光谱模型的 PC1 可以定量描述 CBDA 的脱羧动态,从而推导出 CBDA 标准物质和植物材料在预选温度下的脱羧速率常数。温控实验显示,与 CBDA 标准物质相比,植物材料中 CBDA 的脱羧动力学常数明显更高,这也支持了大麻植物中的复杂基质会加速 CBDA 向 CBD 转化的假设。因此,在开发和优化用于监测和阐明植物大麻素脱羧过程的高效快速方法方面取得了进展,为进一步应用于医用大麻行业提供了可能。
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来源期刊
Vibrational Spectroscopy
Vibrational Spectroscopy 化学-分析化学
CiteScore
4.70
自引率
4.00%
发文量
103
审稿时长
52 days
期刊介绍: Vibrational Spectroscopy provides a vehicle for the publication of original research that focuses on vibrational spectroscopy. This covers infrared, near-infrared and Raman spectroscopies and publishes papers dealing with developments in applications, theory, techniques and instrumentation. The topics covered by the journal include: Sampling techniques, Vibrational spectroscopy coupled with separation techniques, Instrumentation (Fourier transform, conventional and laser based), Data manipulation, Spectra-structure correlation and group frequencies. The application areas covered include: Analytical chemistry, Bio-organic and bio-inorganic chemistry, Organic chemistry, Inorganic chemistry, Catalysis, Environmental science, Industrial chemistry, Materials science, Physical chemistry, Polymer science, Process control, Specialized problem solving.
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