title: Expeditious implementation of two new methods for analysing the pigment composition of photosynthetic specimens.
abstract: Two new methods for analysing the pigment composition of photosynthetic samples have been developed during the last few years. One, called the spectral reconstruction method, uses linear least-squares fitting, while the other, named the Gauss-peak spectra method, entails non-linear optimisation; each has some advantages over the other, but both use a large number of data points and surpass the traditional method which uses absorbance at a few wavelengths. In order to make the new methods transparent to experimentalists who are not well versed in statistical analysis, curve fitting and interpolation, simple procedures are described for implementing the methods with the aid of a spreadsheet. The problem of analysing a sample containing chlorophyll c, which is difficult to isolate in a form sufficiently pure to serve as an analytical standard, is also briefly addressed.
authors.affiliation: Department of Physics, Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway. razi.naqvi@phys.ntnu.no
authors.forename: K Razi
authors.initials: KR
authors.lastname: Naqvi
authors.forename: T Hj
authors.initials: TH
authors.lastname: Hassan
authors.forename: Y A
authors.initials: YA
authors.lastname: Naqvi
mesh_terms: D018554:Avena / Q000737:chemistry; D002734:Chlorophyll / Q000032:analysis; D017377:Diatoms / Q000737:chemistry; D016018:Least-Squares Analysis; D016014:Linear Models; D017711:Nonlinear Dynamics; D000459:Phaeophyceae / Q000737:chemistry; D010788:Photosynthesis; D010860:Pigments, Biological / Q000032:analysis*; D018515:Plant Leaves / Q000737:chemistry; D013053:Spectrophotometry / Q000379:methods* / Q000706:statistics & numerical data
chemical_list: D010860:Pigments, Biological; D002734:Chlorophyll; C064041:chlorophyll c