A simple,quick and novel protocol for biaryl synthesis using LiCl‐promoted in situ‐generated Pd nanoparticles

This paper describes a simple and a very quick protocol for biaryl synthesis using the Suzuki–Miyaura cross‐coupling reaction. A quintessential role of salting‐out agent LiCl was observed in the Suzuki–Miyaura cross‐coupling reaction that enhanced the reduction rate of Pd (II) to a considerable extent, resulting in the formation of nanosized palladium in a few seconds. The isolated Pd nanoparticles were characterized with X‐ray diffraction, dynamic light scattering, TGA, transmission electron microscopy and scanning electron microscopy‐dispersive X‐ray spectroscopy. The Suzuki–Miyaura cross‐coupling reaction proceeded very well with the in situ‐generated Pd nanocatalysts furnishing the desired biaryl adducts with excellent yields.     

Synthesis of Substituted 2‐Amino‐cyclobutanones

A series of weakly nucleophilic nitrogen derivatives including carbamates, amides, sulfonamides, and anilines were reacted with 1,2‐bis(trimethylsilyloxy)cyclobutene under acidic conditions to afford various substituted 2‐aminocyclobutanone derivatives 3a–i in modest to excellent yields.     

Extraction of discontinuous structure-activity relationships from compound data sets through particle swarm optimization

The characterization of structure-activity relationship (SAR) features of large compound data sets has been a hot topic in recent years, and different methods for large-scale SAR analysis have been introduced. The exploration of local SAR components and prioritization of compound subsets have thus far mostly relied on graphical analysis methods that capture similarity and potency relationships in a systematic manner. A currently unsolved problem in large-scale SAR analysis is how to automatically select those compound subsets from large data sets that carry most SAR information. For this purpose, we introduce a numerical optimization scheme that is based on particle swarm optimization guided by an SAR scoring function. The methodology is applied to four large compound sets. We demonstrate that compound subsets representing the most discontinuous local SARs are consistently selected through particle swarm optimization.     

SAR monitoring of evolving compound data sets using activity landscapes

In pharmaceutical research, collections of active compounds directed against specific therapeutic targets usually evolve over time. Small molecule discovery is an iterative process. New compounds are discovered, alternative compound series explored, some series discontinued, and others prioritized. The design of new compounds usually takes into consideration prior chemical and structure-activity relationship (SAR) knowledge. Hence, historically grown compound collections represent a viable source of chemical and SAR information that might be utilized to retrospectively analyze roadblocks in compound optimization and further guide discovery projects. However, SAR analysis of large and heterogeneous sets of active compounds is also principally complicated. We have subjected evolving compound data sets to SAR monitoring using activity landscape models in order to evaluate how composition and SAR characteristics might change over time. Chemotype and potency distributions in evolving data sets directed against different therapeutic targets were analyzed and alternative activity landscape representations generated at different points in time to monitor the progression of global and local SAR features. Our results show that the evolving data sets studied here have predominantly grown around seed clusters of active compounds that often emerged early on, while other SAR islands remained largely unexplored. Moreover, increasing scaffold diversity in evolving data sets did not necessarily yield new SAR patterns, indicating a rather significant influence of "me-too-ism" (i.e., introducing new chemotypes that are similar to already known ones) on the composition and SAR information content of the data sets.     

In situ Electrochemical Synthesis of a Composite Film Containing Nickel Hexacyanoferrate and Bentonite Clay for the Sensitive Determination of Acetaminophen and Dopamine

A composite film of nickel hexacyanoferrate (NiHCF) and bentonite (Bt) clay (abbreviated as NiHCF?Bt) is synthesized by an in situ electrochemical method. For this synthesis, nickel ions are immobilized on Bt clay by an ion‐exchange process, equilibrating Bt clay with nickel nitrate. On a glassy carbon electrode (GCE), the nickel ion‐exchanged Bt clay (Ni²⁺?Bt) is coated to get the modified electrode which is represented as GCE/Ni²⁺?Bt. The NiHCF?Bt composite film is prepared on the GCE surface using the GCE/Ni²⁺?Bt and scanning the electrode potentials between ?0.10 to 1.00 V continuously in an aqueous solution containing potassium hexacyanoferrate and potassium chloride. This NiHCF?Bt modified GCE (GCE/NiHCF?Bt) exhibits redox peaks due to the oxidation and reduction of the central metal ion, Fe²⁺. The electro‐generated Fe³⁺ present in the GCE/NiHCF?Bt, electrocatalytically oxidizes a range of drugs like acetaminophen (AC), dopamine (DA), and tyrosine (TY) at decreased overpotentials with high current. This property is advantageously used for the precise quantification of AC, DA, and TY. Sensitivity, limit of detection, and linear calibration range for the determination of AC are found to be 0.20 μA μM^?1 cm^?2, 1.5 μM, and 25.0–1000.0 μM, respectively. Further, the amount of AC present in pharmaceutical products is satisfactorily quantified which demonstrated the use of the NiHCF?Bt composite film in electroanalysis.     

Development of a rapid normal-phase LC-positive ion APCI-MS method for simultaneous detection and quantitation of cholesterol, androst-4-ene-3,1 7-dione, and androsta-1,4-diene-3,17-dione

This paper describes the development of a normal-phase liquid chromatograph-UV-diode array detection-positive ion atmospheric pressure chemical ionization-mass spectrometry method for the simultaneous identification and quantitation of cholesterol, androst-4-ene-3,17-dione (AD), and androsta-1,4-diene-3,17-dione (ADD) in fermentation broths. The compounds detected under positive ion atmospheric pressure chemical ionization on a mass spectrometer by selected ion monitoring are separated by normal-phase high-performance liquid chromatography. [M+H]+ ions are taken into consideration for quantitation of AD and ADD, and [M-H2O+H]+ ions are considered for quantitation of cholesterol. The compounds are analyzed on a Si60 silica (5 microm, 125 x 4-mm i.d.) Merck column using a 2:3 isocratic mixture of isopropyl alcohol and hexane. The calibration curves resulting from the reference compounds in the concentration range of 100-5000 pg on column exhibit a good linear correlation (r2 > or = 0.996). The method is validated by analyzing six replicates of broth samples fortified with three compounds, namely, cholesterol, AD, and ADD, at 0.050 and 0.5 microg/g levels. The mean recoveries for the fortifications range from 90% to 98% with relative standard deviations in the range of 3.36% to 9.78%. The method is developed to study the qualitative as well as quantitative conversion of cholesterol to AD and ADD by a microorganism identified as Nocardia sp. These studies helped the investigation of the reaction kinetics, which showed that the molar biotransformation of cholesterol into AD and ADD was 21%, even when the reaction was prolonged for 96 h.     

Fluorogenic Probes with Substitutions at the 2 and 7 Positions of Cephalosporin are Highly BlaC‐Specific for Rapid Mycobacterium tuberculosis Detection

Current methods for the detection of Mycobacterium tuberculosis (Mtb) are either time consuming or require expensive instruments and are thus are not suitable for point‐of‐care diagnosis. The design, synthesis, and evaluation of fluorogenic probes with high specificity for BlaC, a biomarker expressed by Mtb, are described. The fluorogenic probe CDG‐3 is based on cephalosporin with substitutions at the 2 and 7 positions and it demonstrates over 120 000‐fold selectivity for BlaC over TEM‐1 Bla, the most common β‐lactamase. CDG‐3 can detect 10 colony‐forming units of the attenuated Mycobacterium bovis strain BCG in human sputum in the presence of high levels of contaminating β‐lactamases expressed by other clinically prevalent bacterial strains. In a trial with 50 clinical samples, CDG‐3 detected tuberculosis with 90 % sensitivity and 73 % specificity relative to Mtb culture within one hour, thus demonstrating its potential as a low‐cost point‐of‐care test for use in resource‐limited areas.     

A new recyclable/reusable ionic liquid/LiCl system for Suzuki–Miyaura cross coupling reactions

Suzuki–Miyaura cross coupling reactions of aryl halides with aryl boronic acids were carried out in basic ionic liquids in the presence of lithium chloride as a promoter. The coupling reactions, carried out in the absence of base and ligand, proceed in good to excellent yields with easy product isolation and catalyst recycle.     

Quality control assessment of polyherbal formulation based on a quantitative determination multimarker approach by ultra high performance liquid chromatography with tandem mass spectrometry using polarity switching combined with multivariate analysis

An ultra high performance liquid chromatography with electrospray ionization tandem mass spectrometry method has been developed and validated for the simultaneous quantification of 28 major bioactive compounds in Mentat tablet, a complex Indian herbal medicine used in the treatment of neurological disorder and improvement of mental health. Multiple‐reaction monitoring scanning was employed for quantification in positive and negative ion switching mode. The analysis was accomplished on Waters ACQUITY UPLC BEH C₁₈ column with linear gradient elution of water/formic acid (0.1%) and acetonitrile/formic acid (0.1%) at a flow rate of 0.3 mL/min. The proposed method was validated with acceptable linearity (r², 0.9984–0.9999), precision (RSD, 0.22–2.11%), stability (RSD, 0.16–1.78%), and recovery (RSD ≤ 3.74%), under optimum conditions. The limits of quantitation ranged from 0.28 to 3.88 ng/mL. The method was successfully applied for simultaneous determination of 28 compounds in 20 batches of Mentat tablet. Hierarchical cluster analysis and principal component analysis were performed to evaluate the similarity and variation of the 20 samples based on the characteristics of 28 bioactive compounds. Results indicated that this method is rapid, sensitive, and reliable to show the quality of the Mentat tablet's composition, hence may be used for quality control of polyherbal formulations having similar markers/raw herbs.