Home › Analytical Chem › High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)
Analytical Chem JoVE (Open Access) Citable · DOI

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

DOI: 10.3791/57809-v
What you'll learn
  • ✓ Execute microscale processing of maize grain samples for nutritional analysis
  • ✓ Apply high-throughput sampling strategies to grain processing pipelines
  • ✓ Analyze nutritional composition across multiple processing stages
  • ✓ Adapt standard protocols for increased throughput and reduced sample volume
Protocol

Biopharma Insights Here, we present a microscale protocol for processing grain samples and for incorporating this microscale approach into a high-throughput analytical pipeline. This is a higher throughput adaptation of currently available protocols.

Difficulty
intermediate
Total time
~4–6 hours per batch (depending on cooking, baking, and toasting stages)

Steps

1
Produce cooked grits from maize samples

Prepare microscale maize samples by cooking to produce grits. This initial processing stage establishes baseline material for downstream nutritional and chemical analysis.

▶ 00:50
2
Produce baked grits from cooked material

Bake the cooked grits to the next processing stage. This step modifies nutritional composition and physical properties for comparative analysis.

▶ 02:27
3
Produce final toasted cornflake product

Toast the baked grits to create the finished cornflake product. This terminal processing step allows measurement of end-stage nutritional and quality parameters.

▶ 03:14
4
Analyze processing outcomes and nutritional composition

Sample and analyze nutritional qualities at each processing stage (cooked, baked, toasted). This enables high-throughput comparative assessment across the full processing pipeline.

▶ 04:19
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