Abstract
AbstractGreen algae of the genus Ulva have been identified as suitable organisms for biomass production and good candidates for the development of seaweed blue-biotech industries. The fluctuation of chemical composition during the growth of the algae, which depends largely on environmental factors, makes the development of rapid phenotyping protocols necessary. In this work the efficacy of Near Infrared Spectroscopy (NIRS) to predict dry matter, mineral fraction, nitrogen, and carbon contents directly from wet untreated samples and from dried samples was studied. Partial least square (PLS) models from spectra recorded on 80 samples were used to predict dry matter, and 44 samples to predict carbon, nitrogen and mineral fraction on a wet and dry weight basis. NIR models developed from spectra acquired on wet samples had good accuracy (R2>0.9) for the prediction of N (on a ww and dw basis) and C (on a ww basis). Models with lower R2 scores have been obtained for dry matter (R2=0.610) and MF (R2=0.506-0.693). The models developed to predict carbon and nitrogen directly on wet and untreated samples present NIRS as a valuable tool to determine these parameters in a rapid and low-cost way, allowing making decisions about the optimal harvesting time.
Funder
Universitat Politècnica de Catalunya
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Aquatic Science
Reference30 articles.
1. Al-Hafedh YS, Alam A, Buschmann AH, Fitzsimmons KM (2012) Experiments on integrated aquaqulture system (seaweeds and marine fish) on the Red Sea coast of Saudi Arabia: efficiency comparison of two local seaweed species for nutrient biofiltration and production. Rev Aquacult 4:21–31
2. Angell AR, Mata L, de Nys R, Paul NA (2014) Variation in amino acid content and its relationship to nitrogen content and growth rate in Ulva ohnoi (Chlorophyta). J Phycol 50:216–226
3. Barrington K, Chopin T, Robinson S (2009) Integrated multi-trophic aquaculture (IMTA) in marine temperate waters. In: Soto D (ed) Integrated mariculture: a global review. FAO Fisheries and Aquaculture Technical Paper. no. 529, pp. 7–46. Food and Agriculture Organization of the United Nations, Rome
4. Beć KB, Grabska J, Huck CW (2022) Miniaturized NIR spectroscopy in food analysis and quality control: Promises, challenges, and perspectives. Foods 11:1465
5. Campbell M, Ortuño J, Koidis A, Theodoridou K (2022) The use of near-infrared and mid-infrared spectroscopy to rapidly measure the nutrient composition and the in vitro rumen dry matter digestibility of brown seaweeds. Anim Feed Sci Technol 285:115239