Sample–to-answer sensing technologies for nucleic acid preparation and detection in the field

Liu, Chia-Wei; Tsutsui, Hideaki

doi:10.1016/j.slast.2023.06.002

Cited by 5 publications

(1 citation statement)

References 308 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Still, their cost, size, and power requirements are unsuitable for in-field use [32]. To date, several commercial products and lab studies for sample preparation (e.g., Qiagen DNeasy/RNeasy plant mini kits, Whatman FTA cards, and microneedle patches) [33][34][35][36][37][38][39][40][41] have attempted to address this key bottleneck (Table S1). However, they are usually expensive and sometimes require additional equipment to use together.…”

Section: Introductionmentioning

confidence: 99%

Quick Plant Sample Preparation Methods Using a Micro-Homogenizer for the Detection of Multiple Citrus Pathogens

Liu,

Bodaghi,

Vidalakis

et al. 2024

Chemosensors

Self Cite

View full text Add to dashboard Cite

Effective pathogen detection is essential for plant disease control. However, plant sample preparation for downstream assays, such as quantitative polymerase chain reaction (qPCR), is challenging to perform outside of a laboratory. This paper reports two sample preparation methods featuring chemical and mechanical lysis and nucleic acid extraction using a micro-homogenizer, followed by serial dilution or nucleic acid purification with a paper disk before assay. Five minutes of lysis and extraction resulted in DNA and RNA yields of up to 76.5% and 63.3%, respectively, compared to mortar and pestle controls. Crude lysates were unsuitable for direct use in qPCR assays; however, serial dilution or quick wash using chromatography paper rendered samples ready for such assays. Additionally, the nucleic acids stored on paper disks under various storage conditions remained stable for one month. These methods can facilitate the in-field preparation of citrus samples and allow for both onsite and mail-in diagnostics for growers.

show abstract