Evaluation of physical chemical treatment at Rosemount /

Mode of access: Internet.

Textile testing : physical, chemical and microscopical /

Mode of access: Internet.

Effect of physical, chemical and light treatments on germination and growth of tissue-cultured coconuts

The acclimatization and ex vitro establishment of tissue cultured coconut plantlets regenerated either from zygotic or somatic embryos could result to serious losses. Although high germination rates can be achieved in vitro, the survival of zygotic embryo derived plantlets in soil is very low (0-30%). Hence, treatments that could promote development of good quality seedlings having well-developed shoot and root is needed to increase seedling survival ex vitro. The effect of physical, chemical and light quality treatments on germination and growth of coconut embryos and tissue-cultured seedlings respectively, was investigated. The germination of coconut embryos was promoted when placed in a liquid Euwens (Y3) medium and incubated using a roller drum. Gibberellic acid (GA3) significantly affected growth of seedlings as it promoted shoot elongation, shoot and root expansion, and fresh and dry weight increase. However, GA3 did not significantly affect germination. In addition, the blue, red and yellow light significantly affected growth of seedlings as it promoted leaf and shoot elongation, fresh and dry weight increase, and root and leaf production. These conditions could be used to improve the growth and survival ex vitro of tissue cultured coconuts.

Discrimination of honey of different floral origins by a combination of various chemical parameters

Abstract Honey is a high value food commodity with recognized nutraceutical properties. A primary driver of the value of honey is its floral origin. The feasibility of applying multivariate data analysis to various chemical parameters for the discrimination of honeys was explored. This approach was applied to four authentic honeys with different floral origins (rata, kamahi, clover and manuka) obtained from producers in New Zealand. Results from elemental profiling, stable isotope analysis, metabolomics (UPLC-QToF MS), and NIR, FT-IR, and Raman spectroscopic fingerprinting were analyzed. Orthogonal partial least square discriminant analysis (OPLS-DA) was used to determine which technique or combination of techniques provided the best classification and prediction abilities. Good prediction values were achieved using metabolite data (for all four honeys, Q² = 0.52; for manuka and clover, Q² = 0.76) and the trace element/isotopic data (for manuka and clover, Q² = 0.65), while the other chemical parameters showed promise when combined (for manuka and clover, Q² = 0.43).