In order to timely discriminate wheat with different mildew rates, a Dyes/Dyes-Cu-MOF paper-based colorimetric sensor array was designed. Using array points to capture volatile gases of wheat with different mildew rates, and output RGB values. The correlation between ΔR/ΔG/ΔB values and odor components was established. The ΔG values of array points 2' and 3' showed the best correlation with mildew rate, with R² of 0.9816 and 0.9642. The ΔR value of 3 and the ΔG value of 2 correlate well with the mildew rate, with R² of 0.9625 and 0.9502, respectively. Then, the ΔRGB values are subjected to pattern recognition processing, and LDA achieves 100% correct discrimination for all samples, or divides high and low mildew areas. This method provides an odor-based monitoring tool for fast, visual and nondestructive evaluation of food safety and quality through visualization of odors produced by different mildew rates.

为了及时区分不同霉变率的小麦，设计了Dyes/Dyes-Cu-MOF纸基比色传感器阵列。利用阵列点捕捉不同霉变率小麦的挥发性气体，输出RGB值。建立了ΔR/ΔG/ΔB值与气味成分之间的相关性。阵列点2'和3'的ΔG值与霉变率的相关性最好，R ²分别为0.9816和0.9642。ΔR值为3，ΔG值为2与霉变率相关性较好，R ²分别为 0.9625 和 0.9502。然后对ΔRGB值进行模式识别处理，LDA对所有样本做到100%正确判别，或者划分高低霉区。该方法提供了一种基于气味的监测工具，通过可视化不同霉变率产生的气味，快速、直观、无损地评估食品安全和质量。