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Rapid and practical synthesis of N-protected amino ketones in continuous flow via pre-deprotonation protocol 通过预质子化协议在连续流中快速、实用地合成 N 保护氨基酮
IF 2.7 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-09-18 DOI: 10.1007/s41981-024-00336-x
Weixia Lin, Zilong Lin, Chaoming Liang, Maolin Sun, Ruihua Cheng, Jinxing Ye

The nucleophilic reaction of Weinreb amides with Grignard or organic lithium reagents is widely used in the synthesis of amino ketones because of the formation of stable metal chelate tetrahedral intermediates. However, their large-scale synthesis in batch seriously suffers from the use of excess of nucleophiles due to carbamate group of N-protected amino Weinreb amides and the harsh reaction conditions required by Grignard or organic lithium reagents. In this case, N-protected amino ketones were rapidly synthesized by a practical and efficient continuous flow method under mild conditions. By precisely introducing a simple alkyl Grignard base to deprotonate the carbamate group, the functionalized N-protected amino ketones can be efficiently obtained within 128 s with only a slightly excess of stoichiometric amount of nucleophile, with the yield up to 96%. In addition, the scope of this method was demonstrated over 35 substrates with 3 protective groups signifying the excellent substrate and protecting group tolerances. A scale-up preparation affords a throughput of 7.9 g h-1, indicating potential large-scale application. This work lays the foundation for the large-scale automated synthesis of a variety of N-protected amino ketones.

Graphical Abstract

Weinreb 酰胺与格氏试剂或有机锂试剂的亲核反应可形成稳定的金属螯合四面体中间体,因此被广泛用于合成氨基酮。然而,由于 N-保护氨基 Weinreb 酰胺的氨基甲酸酯基团和格氏试剂或有机锂试剂所需的苛刻反应条件,它们的大规模批量合成受到使用过量亲核剂的严重影响。在这种情况下,我们采用一种实用高效的连续流方法,在温和的条件下快速合成了 N-保护氨基酮。通过精确地引入简单的烷基格氏碱基来使氨基甲酸酯基团去质子化,只需略微过量的亲核剂,就能在 128 秒内高效地获得功能化的 N-保护氨基酮,收率高达 96%。此外,该方法还适用于 35 种含有 3 个保护基团的底物,这表明该方法对底物和保护基团具有极佳的耐受性。放大制备的产量为 7.9 克/小时,表明该方法具有大规模应用的潜力。这项工作为大规模自动合成各种 N 保护氨基酮奠定了基础。
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引用次数: 0
Expedited access to β-lactams via a telescoped three-component Staudinger reaction in flow 通过伸缩三组分斯陶丁格流动反应快速获得 β-内酰胺
IF 2.7 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-08-23 DOI: 10.1007/s41981-024-00333-0
Federica Minuto, Andrea Basso, Marcus Baumann

The Staudinger reaction is widely used for the generation of β-lactams via the thermal cycloaddition of imines with ketenes. Traditionally, it cannot be performed as a multicomponent reaction between aldehydes, amines and ketenes, thus limiting its versatility. Recently we reported for the first time a three-component Staudinger reaction in batch, exploiting a photochemical Wolff rearrangement of diazoketones and an in situ generation of the imine. Here we report an expedited continuous flow approach that generates the crucial ketene intermediate prior to its telescoped reaction with an imine component at ambient temperatures. The imine is prepared by an in situ dehydration between amines and aldehydes in a packed bed reactor containing basic alumina as drying agent. The resulting telescoped flow approach features a fast dehydration reaction (tRes ca. 3 min) as well as an efficient Wolff rearrangement using LEDs (420 nm) to afford the desired β-lactam products in less than 30 min which compares favorably with reaction times of several days in batch mode. Flow processing thereby affords a safe and streamlined entry to these important targets and allows their effective generation on gram scale. Moreover, this approach exploits several homogeneous and heterogeneous transformations under mild conditions that generate water and nitrogen gas as the only by-products.

Graphical abstract

施陶丁格反应广泛用于通过亚胺与烯酮的热环化反应生成 β-内酰胺。传统上,该反应不能作为醛、胺和烯酮之间的多组分反应进行,因此限制了其多功能性。最近,我们首次报道了利用重氮酮的光化学沃尔夫重排反应和原位生成亚胺的三组分施陶丁格批处理反应。在此,我们报告了一种快速连续流方法,该方法可在常温下与亚胺组分发生伸缩反应之前生成关键的烯酮中间体。亚胺是在含有碱性氧化铝作为干燥剂的填料床反应器中通过胺和醛之间的原位脱水制备的。由此产生的伸缩流动方法具有快速脱水反应(tRes 约 3 分钟)以及使用 LED(420 纳米)进行高效沃尔夫重排的特点,在不到 30 分钟的时间内就能得到所需的β-内酰胺产品,这与批量模式下需要数天的反应时间相比毫不逊色。因此,流式处理为这些重要目标提供了一个安全、简便的途径,并可在克级规模上有效生成这些目标。此外,这种方法还能在温和的条件下利用几种均相和异相转化,生成的水和氮气是唯一的副产品。
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引用次数: 0
Efficient “One-Column” grignard generation and reaction in continuous flow 高效的 "一柱式 "连续流格氏剂生成和反应
IF 2.7 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-08-06 DOI: 10.1007/s41981-024-00332-1
Maolin Sun, Hong Li, Hualiang Chen, Rixin Shao, Fanghua Chen, Xiangmin Sang, Weixia Lin, Yueyue Ma, Ruihua Cheng, Jinxing Ye

A straightforward “one-column” continuous flow method of Grignard generation and reaction was successfully developed. The diverse mixtures of aryl- or alkyl- halides and electrophiles were flowed through an activited magnesium packed-bed column, delivering a series of ketones, secondary alcohols, tertiary alcohols, esters, amides, and sulfinamides immediately in moderate to good yields. By combining Grignard generation and reaction into one step and avoiding the separate preparation and storage of Grignard reagents, this practical and efficient protocol dramatically enhanced the safety of operation and provided a convenient access for Grignard reactions, compared with traditional batch process. The continuous flow synthesis of Grignard generation and reaction is carried out in a magnesium packed-bed column successfully.The target product is provided in moderate to good yields within 6.0 min. This protocol with preferable controllability, good selectivity, and safety extremely simplified operational procedure.

我们成功地开发出了一种直接的 "单柱 "连续流格氏生成和反应方法。芳基或烷基卤化物和亲电体的各种混合物流经活化镁填料床柱,立即生成一系列酮、仲醇、叔醇、酯、酰胺和亚氨基磺酸盐,收率适中甚至很高。与传统的间歇式工艺相比,这种实用高效的方法将格氏试剂的生成和反应合并为一个步骤,避免了格氏试剂的单独制备和储存,大大提高了操作的安全性,并为格氏反应提供了便捷的途径。在镁填料床柱中成功实现了格氏反应生成和反应的连续流合成。该方案具有更佳的可控性、良好的选择性和安全性,极大地简化了操作程序。
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引用次数: 0
Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes 比较两种深度学习方法以确定乳化流动过程中的液滴大小
IF 2.7 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-07-30 DOI: 10.1007/s41981-024-00330-3
Inga Burke, Thajeevan Dhayaparan, Ahmed S. Youssef, Katharina Schmidt, Norbert Kockmann

For reliable supervision in multiphase processes, the droplet size represents a critical quality attribute and needs to be monitored. A promising approach is the use of smart image flow sensors since optical measurement is the most commonly used technique for droplet size distribution determination. For this, two different AI-based object detection methods, Mask RCNN and YOLOv4, are compared regarding their accuracy and their applicability to an emulsification flow process. Iterative optimization steps, including data diversification and adaption of training parameters, enable the models to achieve robust detection performance across varying image qualities and compositions. YOLOv4 shows better detection performances and more accurate results which leads to a wider application window than Mask RCNN in determining droplet sizes in emulsification processes. The final droplet detection model YOLOv4 with Hough Circle (HC) for feature extraction determines reliable droplet sizes across diverse datasets of liquid-liquid flow systems (disperse phase content 1–15 vol.-%, droplet size range 5–150 μm). Evaluating the adjustment of Confidence Scores (CS) ensures statistical representation of even smaller droplets. The droplet detection performance of the final YOLOv4 model is compared with a manual image processing method to validate the model in general as well as its accuracy and reliability. Since YOLOv4 in combination with Hough Circle (HC) shows an accurate and robust detection and size determination, it is applicable for online monitoring and characterization of various liquid-liquid flow processes.

Graphical abstract

为了对多相工艺进行可靠监控,液滴大小是一个关键的质量属性,需要加以监测。由于光学测量是确定液滴大小分布最常用的技术,因此使用智能图像流量传感器是一种很有前途的方法。为此,我们比较了 Mask RCNN 和 YOLOv4 这两种不同的基于人工智能的物体检测方法的准确性及其在乳化流动过程中的适用性。迭代优化步骤(包括数据多样化和训练参数的调整)使这两种模型在不同的图像质量和成分下都能获得稳健的检测性能。YOLOv4 显示出更好的检测性能和更准确的结果,因此在确定乳化流程中的液滴大小方面,它比 Mask RCNN 有更广阔的应用空间。最终的液滴检测模型 YOLOv4 使用 Hough Circle(HC)进行特征提取,在液-液流动系统(分散相含量为 1-15 vol.-%,液滴尺寸范围为 5-150 μm)的不同数据集中确定了可靠的液滴尺寸。对置信分(CS)的调整进行评估,可确保更小液滴的统计代表性。将 YOLOv4 最终模型的液滴检测性能与人工图像处理方法进行比较,以验证模型的总体性能及其准确性和可靠性。由于 YOLOv4 与 Hough Circle(HC)相结合,显示出准确、稳健的检测和尺寸确定能力,因此适用于各种液-液流动过程的在线监测和表征。
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引用次数: 0
Enhanced emulsification process between viscous liquids in an ultrasonic capillary microreactor: mechanism analysis and application in nano-emulsion preparation 超声波毛细管微反应器中粘性液体间的强化乳化过程:机理分析及在纳米乳液制备中的应用
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-07-22 DOI: 10.1007/s41981-024-00331-2
Sawita Tanwinit, Shuainan Zhao, Chaoqun Yao, Guangwen Chen

Experimental investigations into acoustic cavitation and ultrasound-assited emulsification process between highly viscous liquids were systematically conducted in a laboratory-built ultrasonic microreactor. Under ultrasound irradiation, four cavitation modes were observed simultaneously in soybean oil, including volume, shape, transient collapse and cavitation clouds. Influenced by the intense oscillation of cavitation bubbles, emulsification between viscous liquids was initiated through a dispersion and migration mode. The effects of varying parameters, such as input power, residence time, channel size, HLB value, surfactant concentration and volume ratio between aqueous and oil phase, on the size and polydispersity of prepared emulsion were investigated using water-soybean oil two-phase system as a model. The emulsion size was reduced to 75.60 nm through optimization of experimental parameters. Based on these findings, the ultrasonic microreactor was successfully employed in the preparation of Vitamin E-enriched nano-emulsions. A fine emulsion with low average size (47.69 nm) and good storage stability (60 days) was prepared within 2 min, further indicating the potential application of ultrasonic microreactor in the beverage and pharmaceutical industries.

在实验室建造的超声波微反应器中,对高粘度液体之间的声空化和超声波辅助乳化过程进行了系统的实验研究。在超声波照射下,大豆油中同时出现了四种空化模式,包括体积空化、形状空化、瞬时塌陷空化和空化云。受空化气泡强烈振荡的影响,粘性液体之间通过分散和迁移模式开始乳化。以水-豆油两相体系为模型,研究了不同参数(如输入功率、停留时间、通道尺寸、HLB 值、表面活性剂浓度以及水相和油相之间的体积比)对所制备乳液的粒度和多分散性的影响。通过优化实验参数,乳液粒度减小到 75.60 nm。基于这些发现,超声微反应器被成功用于制备富含维生素 E 的纳米乳液。在 2 分钟内就制备出了平均粒径较小(47.69 nm)且具有良好储存稳定性(60 天)的精细乳液,这进一步表明了超声波微反应器在饮料和制药行业的应用潜力。
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引用次数: 0
Novel insights into acetylation kinetics in a continuous Flow milli-reactor for chemo-enzymatic separation of silybin A/B 连续流动毫升反应器中乙酰化动力学的新见解,用于水飞蓟宾 A/B 的化学酶法分离
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-07-22 DOI: 10.1007/s41981-024-00329-w
Michele Emanuele Fortunato, Rita Pagano, Valeria Romanucci, Chiara Licenziato, Armando Zarrelli, Martino Di Serio, Giovanni Di Fabio, Vincenzo Russo

The separation of silybin A (SilA) and B (SilB) diastereomers in optically pure compounds is challenging due to their very similar physical and chemical properties. However, such separation is crucial for evaluating the biological activity of the diasteroisomers SilA and SilB, which show very different performance in pharmacological applications like treating prostate cancer, liver diseases, and Alzheimer’s disease. The most common isolation method is based on high-performance liquid chromatography, but it is slow and has a yield in pure SilB of hundreds of milligrams per day. An alternative chemo-enzymatic separation method, utilizing an immobilized lipase CALB catalyst to stereoselectively acetylate silybin B (1b), offers advantages in terms of higher productivity, selectivity, and scalability, particularly when applied in flow reactors. This study delves into the kinetics of Sil acetylation catalyzed by Novozym 435 in a continuous flow milli-reactor, investigated at various temperatures, volumetric flow rates, and Sil initial concentrations. It is noteworthy that, at the current state of the art, there is a lack of kinetic studies on this reaction, emphasizing the novelty and significance of this work. The kinetic and fluid dynamic parameters were estimated using a non-linear regression analysis of experimental data. The examined reaction showed a null apparent activation energy, explaining the temperature insensitivity of the final acetylated silybin B (1b) concentration. Furthermore, the decrease in steady-state concentrations of the acetylated products with increasing volumetric flow rates indicated that the reaction was occurring in a kinetic regime. Interestingly, a maximum starting Sil concentration was identified, above which there was no favorable impact on conversion.

由于水飞蓟宾 A(SilA)和 B(SilB)非对映异构体的物理和化学性质非常相似,因此在光学纯化合物中分离这两种非对映异构体具有挑战性。然而,这种分离对于评估水飞蓟宾 A 和水飞蓟宾 B 非对映异构体的生物活性至关重要,因为这两种非对映异构体在治疗前列腺癌、肝病和阿尔茨海默病等药理应用中表现出截然不同的性能。最常见的分离方法是基于高效液相色谱法,但这种方法很慢,而且每天的纯 SilB 产量只有几百毫克。另一种化学酶分离方法是利用固定化脂肪酶 CALB 催化剂立体选择性地乙酰化水飞蓟宾 B (1b),这种方法在更高的生产率、选择性和可扩展性方面具有优势,尤其是在流动反应器中应用时。本研究深入探讨了 Novozym 435 在连续流动毫升反应器中催化水飞蓟宾乙酰化的动力学过程,并在不同温度、容积流速和水飞蓟宾初始浓度下进行了研究。值得注意的是,在目前的技术水平下,还缺乏对这一反应的动力学研究,这突出了这项工作的新颖性和重要性。通过对实验数据进行非线性回归分析,估算了动力学和流体动力学参数。所研究的反应显示了无效的表观活化能,这解释了乙酰化水飞蓟宾 B (1b) 最终浓度对温度的不敏感性。此外,乙酰化产物的稳态浓度随着体积流量的增加而降低,这表明反应是在动力学条件下进行的。有趣的是,已确定了一个最大起始硅浓度,超过该浓度对转化率没有任何有利影响。
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引用次数: 0
Functionalization of unsaturated carbon–carbon bonds by continuous-flow ozonolysis 通过连续流臭氧分解使不饱和碳-碳键官能化
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-07-15 DOI: 10.1007/s41981-024-00328-x
Caio M. Pacheco, Fernanda A. Lima, Mauro R. B. P. Gomez, Lucas B. Barbosa, Raquel A. C. Leão, Rodrigo O. M. A. de Souza

In the continuous struggle for improvements in laboratory processes, flow synthesis has been widely used for being safer, more reproducible, as for improving yields and scalability. Therefore, flow ozonolysis has become a turning point as flow reactors provides a much safer work environment and reactions can now be produced at industrial scales. In this review we would discuss several reactors used in flow ozonolysis and its importance for the safety of the ozonolysis process.

在不断改进实验室工艺的过程中,流动合成因其更安全、可重现性更高以及产量和可扩展性更强而得到广泛应用。因此,流动臭氧分解已成为一个转折点,因为流动反应器提供了更安全的工作环境,而且现在可以进行工业规模的反应。在本综述中,我们将讨论几种用于流动臭氧溶解的反应器及其对臭氧溶解过程安全性的重要性。
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引用次数: 0
Continuous preparation and reaction of nonaflyl azide (NfN3) for the synthesis of organic azides and 1,2,3-triazoles 用于合成有机叠氮化物和 1,2,3-三唑的壬烯呋喃叠氮化物 (NfN3) 的连续制备和反应
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-07-04 DOI: 10.1007/s41981-024-00327-y
Sebastian P. Green, Hannah C. Broderick, Katherine M. P. Wheelhouse, Jason P. Hallett, Philip W. Miller, James A. Bull

Organic azides are widely used in organic synthesis. Continuous flow processing can be used to bypass their isolation, and can therefore be useful in mitigating the hazards associated with these potentially toxic and explosive reagents. Nonaflyl azide has been reported as an effective, bench-stable, and relatively safe diazo transfer reagent that can be useful in the preparation of azides from amines and so avoid the use of alkyl halides. Here we demonstrate the synthesis and purification of nonaflyl azide in continuous flow with isolation of the neat, pure reagent by membrane filtration. The neat reagent was used in the preparation of organic azides from primary amines, and then applied to the synthesis of triazoles. A variety of triazoles, including the antiseizure drug Rufinamide, were prepared from primary amines and alkynes via the CuAAC click reaction in a semi-batch parallel array without isolation of alkyl azide intermediates. A telescoped two-stage continuous flow process was also designed and demonstrated to form triazoles via the same CuAAC reaction, which avoids the handling of the intermediate reactive azides.

有机叠氮化物广泛用于有机合成。连续流工艺可用于绕过它们的分离,因此可有效减轻这些潜在有毒和易爆试剂带来的危害。据报道,壬酰基叠氮化物是一种有效、稳定、相对安全的重氮转移试剂,可用于从胺中制备叠氮化物,从而避免使用烷基卤化物。在此,我们展示了连续流合成和纯化壬烯丙基叠氮化物的过程,并通过膜过滤分离出纯净的试剂。纯试剂用于从伯胺制备有机叠氮化物,然后用于合成三唑类化合物。在半批次平行阵列中,通过 CuAAC 点击反应从伯胺和炔烃制备了多种三唑类化合物,包括抗癫痫药物鲁非那胺(Rufinamide),而无需分离烷基叠氮化物中间体。此外,还设计并演示了一种伸缩式两级连续流工艺,可通过相同的 CuAAC 反应生成三唑,从而避免了对中间反应叠氮化物的处理。
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引用次数: 0
Performance of different microfluidic devices in continuous liquid-liquid separation 不同微流控装置在连续液-液分离中的性能
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-06-13 DOI: 10.1007/s41981-024-00326-z
Bastian Oldach, Ya-Yu Chiang, Leon Ben-Achour, Tai-Jhen Chen, Norbert Kockmann

Droplet-based microfluidics exhibit numerous benefits leading to relevant innovations and many applications in various fields. The precise handling of droplets in capillaries, including droplet formation, manipulation, and separation, is essential for successful operation. Only a few reports are known concerning the separation of segmented flows, particularly the continuous separation of droplets, which is of high interest regarding the control of biochemical and chemical reactions or other applications where the contact time of the involved phases is crucial. Here, the separation must be flexible and adjusted to different flow parameters, such as the surface tension, the volumetric flow rates, and their ratios. This contribution presents two novel open-source approaches based on additive manufacturing and mechanical deforming for continuous liquid–liquid separation under various flow conditions. The Laplace pressure is the driving force for the separation, which is adjusted to the flow conditions by adapting the distance of pinning points provided by the design of the devices. Details of the device design and experimental setup are shown along with limitations to promote further development and to increase availability for researchers. With the right parameters, sophisticated separations can be realized by inexpensive laboratory equipment and simple control of them. It was found that the distance between the pinning points needs to enlarged for increasing volumetric flow rates and reduced for higher viscosities of the continuous phase respectively higher amounts of the dispersed phase. The open source approach of this article expands the exploration space in addition to commercially available phase separators only available to a selected group of people.

Graphical Abstract

基于液滴的微流控技术具有众多优势,可带来相关创新并在各个领域得到广泛应用。精确处理毛细管中的液滴,包括液滴的形成、操作和分离,是成功运行的关键。关于分段流的分离,特别是液滴的连续分离,目前只有少数报道,而这在生化和化学反应的控制或其他应用中具有很高的关注度,因为在这些应用中,各相的接触时间至关重要。在这种情况下,分离必须灵活,并根据不同的流动参数(如表面张力、体积流量及其比率)进行调整。本文介绍了两种基于快速成型制造和机械变形的新型开源方法,用于在各种流动条件下实现连续的液-液分离。拉普拉斯压力是分离的驱动力,可通过调整装置设计所提供的销钉点距离来适应流动条件。为了促进进一步开发和增加研究人员的可用性,我们展示了装置设计和实验设置的细节以及限制条件。有了正确的参数,通过廉价的实验室设备和简单的控制,就可以实现复杂的分离。研究发现,随着体积流量的增加,针刺点之间的距离需要增大,而当连续相的粘度较高时,分散相的数量较多时,针刺点之间的距离需要减小。除了仅向特定人群提供的商用相分离器外,本文的开源方法还拓展了探索空间。
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引用次数: 0
Continuous flow process optimization aided by machine learning for a pharmaceutical intermediate 利用机器学习优化制药中间体的连续流工艺
IF 2 4区 化学 Q3 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-05-13 DOI: 10.1007/s41981-024-00318-z
Jinlin Zhu, Chenyang Zhao, Li Sheng, Dadong Shen, Gang Fan, Xufeng Wu, Lushan Yu, Kui Du

In this paper, we demonstrate the use of machine learning to optimize the continuous flow process of a crucial intermediate in the production of Nemonoxacin. Our focus is to achieve the good yield and enantioselectivity in the construction of chiral methyl group utilize the initial 29 experimental datasets and consider six important variables. Employing Single-Objective Bayesian optimization (SOBO), we achieved an impressive predicted yield of up to 89.7%, which is consistent with the experimental results, with a yield of 89.5%. Additionally, A Multi-Objective Bayesian Optimization (MOBO) algorithm, namely qNEHVI, to strike a balance between yield and enantioselectivity in the continuous flow system is applied. The algorithm’s prediction, with a yield of 81.8% and enantioselectivity of 97.85%, was experimentally validated, yielding 83.8% and 97.2%, respectively. This study effectively demonstrates that Bayesian optimization is a powerful tool for optimizing the continuous process in the production of active pharmaceutical ingredients (APIs).

在本文中,我们展示了如何利用机器学习来优化奈莫沙星生产过程中一个关键中间体的连续流工艺。我们的重点是利用最初的 29 个实验数据集,并考虑六个重要变量,在构建手性甲基的过程中实现良好的产率和对映选择性。利用单目标贝叶斯优化(SOBO),我们获得了令人印象深刻的高达 89.7% 的预测产率,这与实验结果一致,产率为 89.5%。此外,我们还采用了一种多目标贝叶斯优化(MOBO)算法,即 qNEHVI,以在连续流系统中实现产率和对映体选择性之间的平衡。实验验证了该算法的预测结果,产率为 81.8%,对映体选择性为 97.85%,产率和对映体选择性分别为 83.8%和 97.2%。这项研究有效地证明了贝叶斯优化算法是优化活性药物成分 (API) 连续生产过程的有力工具。
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引用次数: 0
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Journal of Flow Chemistry
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