Controlled mechanical stimuli reveal novel associations between basil metabolism and sensory quality

P Seeburger; A Herdenstam; P Kurtser; A Arunachalam; V C Castro-Alves; T Hyötyläinen; H Andreasson

doi:10.1016/j.foodchem.2022.134545

Controlled mechanical stimuli reveal novel associations between basil metabolism and sensory quality

Food Chem. 2023 Mar 15;404(Pt A):134545. doi: 10.1016/j.foodchem.2022.134545. Epub 2022 Oct 8.

Authors

P Seeburger¹, A Herdenstam², P Kurtser³, A Arunachalam⁴, V C Castro-Alves⁵, T Hyötyläinen¹, H Andreasson⁴

Affiliations

¹ School of Science and Technology, Man-Technology-Environment Research Centre, Örebro University, 701 82 Örebro, Sweden.
² School of Hospitality, Culinary Arts and Meal Science, Sweden. Electronic address: anders.herdenstam@oru.se.
³ School of Science and Technology, Centre for Applied Autonomous Sensor Systems, Örebro University, 701 82 Örebro, Sweden; Department of Radiation Sciences, Radiation Physics, Umeå University, 901 87 Umeå, Sweden.
⁴ School of Science and Technology, Centre for Applied Autonomous Sensor Systems, Örebro University, 701 82 Örebro, Sweden.
⁵ School of Science and Technology, Man-Technology-Environment Research Centre, Örebro University, 701 82 Örebro, Sweden. Electronic address: victor.castro-alves@oru.se.

PMID: 36252376
DOI: 10.1016/j.foodchem.2022.134545

Abstract

There is an increasing interest in the use of automation in plant production settings. Here, we employed a robotic platform to induce controlled mechanical stimuli (CMS) aiming to improve basil quality. Semi-targeted UHPLC-qToF-MS analysis of organic acids, amino acids, phenolic acids, and phenylpropanoids revealed changes in basil secondary metabolism under CMS, which appear to be associated with changes in taste, as revealed by different means of sensory evaluation (overall liking, check-all-that-apply, and just-about-right analysis). Further network analysis combining metabolomics and sensory data revealed novel links between plant metabolism and sensory quality. Amino acids and organic acids including maleic acid were negatively associated with basil quality, while increased levels of secondary metabolites, particularly linalool glucoside, were associated with improved basil taste. In summary, by combining metabolomics and sensory analysis we reveal the potential of automated CMS on crop production, while also providing new associations between plant metabolism and sensory quality.

Keywords: Agricultural robotics; Linalool glucoside; Network analysis; Plant metabolomics; Sensomics; Sensory analysis.

MeSH terms

Crop Production
Metabolomics
Ocimum basilicum* / chemistry
Secondary Metabolism
Taste