Breakthrough Detection Method for Natural Toxins in Potatoes Bolsters Canada's Crop Safety

The Hidden Risks of Natural Toxins in Potatoes

Potatoes are a staple in Canadian kitchens, but beneath their familiar skin lies a potential health concern: natural toxins known as total glycoalkaloids, or TGA. These compounds, primarily α-solanine and α-chaconine, serve as the plant's defense mechanism against pests and environmental stress. While levels are typically low and safe in properly handled potatoes, factors like light exposure, improper storage, or physical damage can cause them to accumulate, leading to bitter taste, greening, and health risks including nausea, vomiting, abdominal cramps, and in rare severe cases, neurological effects.

Health Canada sets a strict upper limit of 20 milligrams of TGA per 100 grams of fresh potato weight for commercial sale to protect consumers. Exceeding this threshold prompts recalls or disposal, impacting growers and retailers alike. With potatoes ranking as Canada's fifth-largest primary agricultural commodity, ensuring toxin-free supply is crucial for public health and economic stability.

Potatoes Power Canada's Economy

Canada's potato sector is a high-value powerhouse, producing around 125.8 million hundredweight in 2025, with seeded acreage nearing 394,000 acres. Provinces like Prince Edward Island lead, accounting for about a quarter of national output and generating over $1.3 billion in annual economic impact, supporting more than 5,000 jobs. Exports reached $3.7 billion in 2024-2025, including fresh, seed, and processed products destined for global markets.

This crop's importance extends beyond farms: it fuels food processing, retail, and trade. However, quality issues like elevated TGA levels can erode trust, trigger waste, and strain profitability. Innovations in detection are vital to sustain this sector amid growing demands for safe, traceable produce.

What Are Glycoalkaloids and Why Do They Matter?

Glycoalkaloids are steroidal compounds naturally produced in Solanaceae family plants like potatoes. In tubers, α-solanine (up to 70% of TGA) and α-chaconine form primarily in the skin and just beneath, rising under stress such as light, cold, drought, or injury. Greening signals higher concentrations, as chlorophyll and TGA synthesis share pathways.

At safe levels below 200 parts per million, they pose no issue. But spikes—often from store displays or mishandling—can bitter the flesh and harm health. Cooking doesn't degrade them significantly, so prevention at source is key. For Canada's growers, managing these toxins ensures compliance, minimizes losses, and upholds the crop's reputation.

Limitations of Conventional Detection Approaches

Traditionally, TGA screening relies on visual checks for greening or sprouts, followed by destructive testing: slicing tubers, extracting samples, and analyzing via high-performance liquid chromatography (HPLC). This gold-standard HPLC method is accurate but labor-intensive, requiring hours per batch, chemical solvents, and waste—impractical for high-volume sorting.

Visual cues miss subtle elevations, leading to overlooked risks or over-culling good potatoes. Processors and retailers discard suspects wholesale, inflating costs. A faster, intact method could transform quality control, saving time, resources, and crops.

Lethbridge Polytechnic Leads the Charge

Researchers at Lethbridge Polytechnic's Advanced Post-Harvest Technology Centre (APHTC) have pioneered a game-changing solution. Led by Dr. Chandra Bhan Singh, with post-doctoral fellow Dr. Diksha Singla, Mainak Pal Chowdhury, and collaborators from the University of Lethbridge, the team published their findings in Foods journal (2025).

The study focused on Yukon Gold potatoes, a popular Canadian variety prone to light-induced toxin buildup. Partnering with Potato Growers of Alberta, they bridged academia and industry for real-world impact.

The Science Behind Hyperspectral Imaging

Hyperspectral imaging captures light reflectance across hundreds of wavelengths (here, short-wave infrared, 900-2500 nm), revealing chemical signatures invisible to the eye. Potatoes absorb specific bands tied to C-H, O-H bonds in carbohydrates, water, and glycoalkaloids.

The process: Scan whole tubers non-destructively, preprocess spectra (e.g., first derivative, standard normal variate), select key wavelengths via competitive adaptive reweighted sampling (CARS) and backward elimination, then build partial least squares regression (PLSR) models. This machine learning approach predicts TGA from spectral data alone.

Study Results: Promising Accuracy Achieved

Using 210 Yukon Gold tubers exposed to LED light (3300 lumens) for 0, 7, or 14 days, HPLC confirmed TGA rising from 97 ppm initially to 160 ppm at day 7, then dipping to 128 ppm—highlighting non-linear accumulation.

The optimized PLSR model (26 wavelengths) delivered cross-validated R² of 0.723 and RMSE of 51.50 ppm, with prediction R² 0.671. At 72% accuracy, it reliably flags tubers nearing Health Canada's 200 ppm threshold, outperforming broad scans.

Read the full study in Foods journal for detailed models and spectra.

Boosting Food Safety and Crop Viability

This tool enables inline sorting at packing houses, diverting high-TGA potatoes pre-market without waste. For retailers, it reduces display risks; for consumers, fewer tainted spuds. Economically, it safeguards billions in output—PEI alone relies on potatoes for 12% of labor income.

Scalable via conveyor systems, it aligns with demands for automation. Industry partner Ashley Wagenaar of Potato Growers of Alberta praises the partnership: "We value research enhancing potato production." Dr. Singla notes: "72% accuracy shows potential as a screening tool, reinforcing proper storage."

Stakeholder Perspectives and Collaborations

Dr. Chandra B. Singh emphasizes: "Non-destructive tech like this protects health and value." The project, under Lethbridge's Centre for Applied Research, Innovation and Entrepreneurship (CARIE), exemplifies polytechnic strengths in applied ag-tech.

• Benefits: Rapid (seconds per tuber), cost-effective long-term, minimal training.
• Risks mitigated: Early detection prevents recalls.
• Comparisons: Beats visual/HPLC speed by orders of magnitude.

Lethbridge Polytechnic announcement.

Future Horizons: Scaling and Expanding

Next steps include multi-variety validation, portable devices, and integration with AI for real-time alerts. Potential for other crops with similar toxins. Funded by applied research grants, it positions Canadian polytechnics as innovation hubs.

As climate stresses rise, such tools future-proof the industry. Dr. Singla: "We aim to support growers with innovative solutions."

Practical Advice for Growers and Handlers

Until widespread adoption:

• Store cool (7-10°C), dark, ventilated.
• Avoid light exposure >7 days; bag bulk displays.
• Reject green/sprouted tubers.
• Monitor stress: drought, bruises boost TGA.

Health Canada advises peeling and discarding affected parts. Emerging tech like Lethbridge's promises proactive quality assurance.

Health Canada glycoalkaloid guidelines.

Photo by Nathan Trenchuk on Unsplash

Research Driving Canada's Agri-Future

Lethbridge Polytechnic's breakthrough underscores higher education's role in tackling real-world challenges. By merging hyperspectral imaging and machine learning, they've equipped the potato sector with a vital safety net. As Canada eyes sustainable growth, such polytechnic-led innovations ensure safe, prosperous harvests for generations.

Explore research careers fueling these advances via AcademicJobs.com resources.