Non-invasive plant disease diagnostics enabled by smartphone-based fingerprinting of leaf volatiles

Nat Plants. 2019 Aug;5(8):856-866. doi: 10.1038/s41477-019-0476-y. Epub 2019 Jul 29.

Abstract

Plant pathogen detection conventionally relies on molecular technology that is complicated, time-consuming and constrained to centralized laboratories. We developed a cost-effective smartphone-based volatile organic compound (VOC) fingerprinting platform that allows non-invasive diagnosis of late blight caused by Phytophthora infestans by monitoring characteristic leaf volatile emissions in the field. This handheld device integrates a disposable colourimetric sensor array consisting of plasmonic nanocolorants and chemo-responsive organic dyes to detect key plant volatiles at the ppm level within 1 min of reaction. We demonstrate the multiplexed detection and classification of ten individual plant volatiles with this field-portable VOC-sensing platform, which allows for early detection of tomato late blight 2 d after inoculation, and differentiation from other pathogens of tomato that lead to similar symptoms on tomato foliage. Furthermore, we demonstrate a detection accuracy of ≥95% in diagnosis of P. infestans in both laboratory-inoculated and field-collected tomato leaves in blind pilot tests. Finally, the sensor platform has been beta-tested for detection of P. infestans in symptomless tomato plants in the greenhouse setting.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Mobile Applications*
  • Phytophthora infestans / physiology
  • Plant Diseases* / microbiology
  • Plant Leaves / chemistry
  • Smartphone*
  • Solanum tuberosum / microbiology*
  • Volatile Organic Compounds / analysis

Substances

  • Volatile Organic Compounds