Development of recombinase polymerase amplification (RPA) combined SYBR Green I dye assay for rapid detection of lipase-producing psychrotrophic bacteria in raw milk
• The assay was time-saving, sensitive, easy to operate, no need for laboratory. • The LOD of RPA was 100-fold sensitive than conventional PCR, dropped to 10 2 CFU/mL. • Achieve on-site detection of bacteria in 1 hour. Rapid detection of psychrotrophic bacteria from raw milk is essential for diary product safety and quality, as these organisms proliferate during cold-chain transport and secrete heat-resistant lipase remaining active after UHT (Ultra-High Temperature) processing, subsequently leading to off-flavors and spoilage. In this study, a recombinase polymerase amplification (RPA) assay targeting a conserved segment of the triacylglycerol lipase gene ( lipA ) was established for 8 psychrotrophic bacteria, including a novel strain of Pseudomonas fluorescens ( P. fluorescens ) strain frequently reported psychrotrophic bacteria isolated from raw milk. The RPA primers were designed based on a conserved region of lipA sequence through multi-sequence alignment. The RPA reaction conditions were optimized, including primer, MgOAc, temperature, time. The RPA limit of detection (LOD) for pure culture was 10 pg/µL, 100-fold more sensitive than conventional PCR method. The integration of a colorimetric readout further enhanced the assay's sensitivity, reducing the LOD in artificially contaminated UHT milk to 1.2 × 10° CFU/mL—representing an additional 100‑fold improvement, and the whole detection could be finished in 1 hour including 45 min for the rapid DNA extraction and 15 min for RPA detection. This platform demonstrated strong suitability for on‑site deployment. Particularly when integrated with CRISPR-Cas12 or lateral-flow dipsticks, it could provide an effective alternative for monitoring psychrotrophic spoilage bacteria in chilled raw milk.
Authors
- Yunna Wang (ORCID: https://orcid.org/0000-0003-4325-429X)
- Shufen Zhang (ORCID: https://orcid.org/0000-0003-3390-4199)
- Qichen Liu
- Ya Li (ORCID: https://orcid.org/0000-0002-7331-2641)
- Kidane Yalew
- Solomon Gebereyowhans
- Xiaoyang Pang
- Chen Xu
- Xu Li
Institutions
- Southwest University (CN)
- Ministry of Agriculture and Rural Affairs (CN)
- Mekelle University (ET)
- Wageningen University & Research (NL)
Publication Details
- Journal
- Applied Food Research
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1016/j.afres.2026.101828
- Primary Topic
- Milk Quality and Mastitis in Dairy Cows
- Type
- article
- Field-Weighted Citation Impact
- 0.00