| Literature DB >> 31763530 |
Laura V Junker-Frohn1,2, Manuel Lück3,2, Simone Schmittgen4,2, Joana Wensing5,2, Laura Carraresi5,2, Björn Thiele1,2, Tanja Groher4,2, Julia J Reimer6,2, Stefanie Bröring5,2, Georg Noga4,2, Andreas Jupke3,2, Ulrich Schurr1,2, Björn Usadel1,6, Anika Wiese-Klinkenberg1,2, Alexandra Wormit6,2.
Abstract
At the end of the annual horticultural production cycle of greenhouse-grown crops, large quantities of residual biomass are discarded. Here, we propose a new value chain to utilize horticultural leaf biomass for the extraction of secondary metabolites. To increase the secondary metabolite content of leaves, greenhouse-grown crop plants were exposed to low-cost abiotic stress treatments after the last fruit harvest. As proof of concept, we evaluated the production of the flavonoid rutin in tomato plants subjected to nitrogen deficiency. In an interdisciplinary approach, we observed the steady accumulation of rutin in young plants under nitrogen deficiency, tested the applicability of nitrogen deficiency in a commercial-like greenhouse, developed a high efficiency extraction for rutin, and evaluated the acceptance of the proposed value chain by its key actors economically. On the basis of the positive interdisciplinary evaluation, we identified opportunities and challenges for the successful establishment of horticultural leaf biomass as a novel source for secondary metabolites.Entities:
Year: 2019 PMID: 31763530 PMCID: PMC6868607 DOI: 10.1021/acsomega.9b01462
Source DB: PubMed Journal: ACS Omega ISSN: 2470-1343
Figure 1Effect of stress treatments in young tomato plants over 16 days of nitrogen deficiency in combination with increased light intensities and/or chilling temperatures compared to control plants. (a) Foliar rutin content per leaf dry weight (DW, g kg–1). (b) Leaf color assessed by smartphone image analyses (hue). Data represent the mean of N = 4 plants [±standard deviation (SD)]. Significant differences of stress to control plants [p < 0.05 using one-way-analysis of variance (ANOVA)] are indicated by asterisks.
Figure 2Effect of stress treatments in greenhouse-grown mature tomato plants after a 21 day stress period of nitrogen deficiency and nutrient deficiency compared with control plants. (a) Foliar rutin content per leaf dry weight (DW, g kg–1). (b) Leaf color assessed by smartphone image analyses (hue). Data represent mean of N = 5 plants (±SD). Significant differences of stressed to control plants (p < 0.05 using one-way-ANOVA) are indicated by asterisks.
Figure 3Correlation between foliar rutin content per leaf dry weight (DW, g kg–1) and leaf color assessed by smartphone image analyses (hue). Every data point represents measurements of an individual leaf sample. Trend lines represent polynomic regression fit.
Figure 4Kinetics of the rutin extraction from dried tomato leaf material (DW, %). Extraction kinetics were determined with leaf particles sized 1–1.4 mm in batch extraction mode at room temperature and related to the total rutin content determined by repeated analytical extraction of leaf samples from the same plant frozen immediately after harvest.
Figure 5Liquid chromatography–mass spectrometry (LC–MS) chromatograms of a tomato leaf extract. The total ion count (a) reveals the presence of additional compounds besides rutin in extracts of tomato leaves, among which chlorogenic acid and caffeic acid were identified using the respective mass filters (b).
Figure 6Representative high-performance liquid chromatography (HPLC) chromatograms recorded at 210 nm of rutin extracts from control plants (a) and plants stressed by nitrogen deficiency, high light, and cold (b) on day 16 extract revealed the induction of additional compounds besides rutin in extracts of tomato leaves. Blue, green, pink, and orange lines indicate chromatograms from four tomato plants.
Figure 7Price ranges ($ kg–1) of secondary metabolites known to be present in relevant content ranges (DW, g kg–1) in tomato leaf biomass. Secondary metabolite content ranges are based on literature values.[6,7,17,18,57,59] Market values were estimated based on requests on the trading platform alibaba.com in May 2016.