Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice.

Rice is a major staple food across the world in which wide variations in nutrient composition are reported. Rice improvement programs need germplasm accessions with extreme values for any nutritional trait. Near infrared reflectance spectroscopy (NIRS) uses electromagnetic radiations in the NIR region to rapidly measure the biochemical composition of food and agricultural products. NIRS prediction models provide a rapid assessment tool but their applicability is limited by the sample diversity, used for developing them. NIRS spectral variability was used to select a diverse sample set of 180 accessions, and reference data were generated using association of analytical chemists and standard methods. Different spectral pre-processing (up to fourth-order derivatization), scatter corrections (SNV-DT, MSC), and regression methods (partial least square, modified partial least square, and principle component regression) were employed for each trait. Best-fit models for total protein, starch, amylose, dietary fiber, and oil content were selected based on high RSQ, RPD with low SEP(C) in external validation. All the prediction models had ratio of prediction to deviation (RPD) > 2 amongst which the best models were obtained for dietary fiber and protein with R 2 = 0.945 and 0.917, SEP(C) = 0.069 and 0.329, and RPD = 3.62 and 3.46. A paired sample t-test at a 95% confidence interval was performed to ensure that the difference in predicted and laboratory values was non-significant.

An appraisal of the bioavailability enhancers in Ayurveda in the light of recent pharmacological advances.

The concept of bioavailability enhancer is new to the modern system of medicine. Basically, this concept originated in Ayurveda and being used in this system of medicine since centuries. Bio-enhancers augment the bioavailability or biological activity of drugs when co-administered with principal drug at low doses. Ayurveda is using several drugs such as Piper longum Linn., Zingiber officinale Rosc., and Glycyrhhiza glabra Linn. as bio-enhancers and different methods for bio-enhancing since centuries. The bio-enhancement leads to reduction in therapeutic dose of principal drug, thus reducing the possibilities of toxicity and side effects of drug, potentiating the efficacy, reducing the resistance, decreasing the requirement of raw material for drug manufacture, and ultimately benefitting to the world economy by reducing the treatment cost. This review article attempts to consolidate different drugs as well as methods being used traditionally for enhancing bioavailability in Ayurvedic system of medicine and to discuss their possible mechanism of action. Authentic subject material has been reviewed from different Ayurvedic texts and from different related research and review articles. Thus, it is a humble effort to explore the different aspects of bio-enhancers including therapeutic techniques such as Shodhana, the drugs such as Pippali, and properties such as Yogavahi and Rasayana, which have been described in Ayurveda along with their mechanism of action and uses wherever available.