A DNA Extraction Method for Nondestructive Testing and Evaluation of Cotton Seeds (Gossypium L.)

Kernels of cotton provide lint and linter for textiles, oil and protein for food and feed. Cotton seed is formed following fertilization between an ovule and a pollen grain. The seed coat is maternal in origin, whereas the embryo and attached cotyledonary leaves are hybrids of parental lines. The extraction of genomic DNA from an ungerminated whole, a portion or mixed seeds are prerequisite in genetic and genomic studies of cotton. As far as our knowledge, there is only one method of nondescriptive DNA extraction from ungerminated cotton seeds without affecting the seed germination capability, but it has technical difficulties and requires special equipment. Furthermore, the amount of DNA extracted using the published method is low and, therefore, it is only suitable for routine marker assisted selection studies. In this study, a DNA extraction protocol referred to as the CTAB-LiCl was developed for single whole cotton seed, a portion of cotton seed and bulked cotton seeds. This protocol uses a combination of CTAB and LiCl to lyse cells and deplete RNAs simultaneously. The CTAB-LiCl DNA extraction method was evaluated in ninety-six individuals of six different cotton cultivars along with two genetic standards of cotton, TM-1 (G. hirsutum L.), Pima 3-79 (G. barbadense L.), and several other plant species of different plant genera. Results revealed that this method produced high quality and amounts of DNA as confirmed by spectrophotometry, agarose gel, restriction enzyme digestion, polymerase chain reaction, and library production for next generation sequencing studies of whole genome bisulfite sequencing. It does not require the use of liquid nitrogen, RNase, proteinase K, or beta-mercaptoethanol and can be completed in approximately 2 h. Small tissues of the chalaza ends of ungerminated cotton seeds could be used to obtain high quality and quantity of DNA ranging from 14 to 28 µg without affecting the seeds' germination ability, allowing marker-assisted selection before planting and flowering.

Quality-by-design ecofriendly potentiometric sensor for rapid monitoring of hydroxychloroquine purity in the presence of toxic impurities

Hydroxychloroquine (HCQ) is prescribed to treat malaria and certain autoimmune diseases. Recent studies questioned its efficiency in relieving COVID-19 symptoms and improving clinical outcomes. This work presents a quality-by-design approach to develop, optimize, and validate a potentiometric sensor for the selective analysis of HCQ in the presence of its toxic impurities (key starting materials), namely 4,7-Dichloroquinoline (DCQ) and hydroxynovaldiamine (HND). The study employed a custom experimental design of 16 sensors with different ion exchangers, plasticizers, and ionophores. We observed the Nernstian slopes, correlation coefficients, quantification limit, response time, and selectivity coefficient for DCQ and HND. The computer software constructed a prediction model for each response. The predicted responses strongly correlate to the experimental ones, indicating model fitness. The optimized sensor achieved 93.8% desirability. It proved a slope of 30.57 mV/decade, a correlation coefficient of 0.9931, a quantification limit of 1.07 × 10-6 M, a detection limit of 2.18 × 10-7 M, and a fast response of 6.5 s within the pH range of 2.5-8.5. The sensor was successfully used to determine HCQ purity in its raw material. The sensor represents a potential tool for rapid, sensitive, and selective monitoring of HCQ purity during industrial production from its starting materials.

NGS method by library enrichment for rapid pestivirus purity testing in biologics

NGS sequencing was evaluated to understand its added value for animal health vaccine candidates. We have previously established the proof of concept for its application in purity testing on several Master Seeds. Here we evaluate the NGS method after enrichment to detect pestiviruses. To achieve this, we conducted a spiking study using 6 viruses, consisting of 3 pestiviruses and 3 other RNA-viruses at different concentrations into cell suspension. A deep Illumina random sequencing of all nucleic acids (DNA and RNA) was performed. The bioinformatics analysis including both assembly into contigs and annotation were processed using viral public databases for the spiked viruses' identification. Here we present the results of spiking experiments for the simultaneous spike of 6 viruses at 100-10 and 1 TCID₅₀/ml. Using Illumina sequencing, the 3 pestiviruses were all detected at the highest concentration, and even at the lowest one such as 1 TCID₅₀/ml for CSFV. Regarding the other viruses, they were not detected at all. Overall, the study showed consistent results for specific detection of pestiviruses with an increase of sensitivity after enrichment. The sensitivity of NGS evaluated by virus spiking experiments of cells demonstrated that NGS method is a valuable and sensitive tool for specific agent detection required in purity testing during vaccine development. This NGS method should be considered as an alternative tool of current purity testing for the prospective testing of biological products.

Preparation and detailed characterization of the thiomer chitosan-cysteine as a suitable mucoadhesive excipient for nasal powders

The therapeutic application of nasal powders requires the development of novel mucoadhesive excipients. Thiolated polymers exhibit significant potential for this purpose based on their increased mucoadhesion attributable to the formation of disulfide bonds between the polymer and mucus surface. A chitosan-cysteine (chit-cyst) conjugate was synthesized using 1-(3-Dimethylaminopropyl)-3-ethylcarbodiimide hydrochloride and N-hydroxysuccinimide in aqueous solution. The synthetic yield and synthesis conditions were optimized, and the efficiency of the reaction was evaluated. Rheological measurements revealed that the polymer derivative exhibited increased mucoadhesive properties in comparison to chitosan powder. To characterize the polymer, a novel purity investigation method was developed and verified to investigate the residual l-cysteine content. The results revealed that l-cysteine was not detectable in the resultant polymer matrix. Based on the cytotoxicity studies, chit-cyst was found to be safe for nasal application. Thereafter, nasal powder formulations were prepared using the polymer and the antiparkinsonian drug levodopa methyl ester hydrochloride by freeze-drying to investigate their nasal applicability. Based on the in vitro studies, these powders might be suitable for reducing the off periods of Parkinson's disease because of their expected higher in vivo mucoadhesion.

Optimization of localized surface plasmon resonance hot spots in surface-enhanced infrared absorption spectroscopy aluminum substrate as an optical sensor coupled to chemometric tools for the purity assay of quinary mixtures

Surface-enhanced infrared absorption spectroscopy offers an alternative to conventional IR spectroscopy and utilizes the signal enhancement exerted by the plasmon resonance of nanostructured metal thin films. Citrate-capped silver nanoparticles were prepared in a single-step method, and their morphology was identified using transmission electron microscopy, scanning electron microscopy, ultraviolet/visible spectrophotometry, and Zetasizer. The nanoparticles generated were deposited on the surface of cheap aluminum slides for different durations aiming for the selection of the best time producing a thin film, suitable to act as a lab-on-a-chip SEIRA substrate. These substrates were coupled to partial least squares regression tools for simultaneous resolving of the quinary mixture in commercial dosage forms of bisoprolol, perindopril, bisoprolol acid degradation product, bisoprolol alkali degradation product, and perindoprilat in concentration ranges of 15-75, 60-300, 15-55, 12-60, and 20-80 μg/mL with limits of detection values of 0.69, 3.43, 0.97, 1.25, and 1.09 μg/mL, respectively. Overall, we could demostrate that the localized surface plasmon resonance sensor coupled to chemometrics provides cheap, simple, selective, multiplex, rapid, and molecular specific procedures for impurity detection, which would be beneficial in many applications for quality control and quality accuracy of active pharmaceutical ingredients.