As an important antitussive and expectorant herbal medicine, Fritillariae cirrhosae Bulbus (FCB) is rare and expensive, leading to massive adulterations in the market. Herein, we report a solid colorimetric sensor array (CSA) method for the rapid identification of FCB and its adulterations. This CSA was fabricated by printing nine pH indicators on a mixed cellulose ester membrane via a commercially available inkjet printer filled with polyethylene glycol-containing ink. This CSA displayed color changes to various analytes, as their solution of varied pH values triggers chemical reactions with the nine pH indicators (and other potential interactions). The digital database of these colorimetric response patterns was collected automatically using a homemade program. The outstanding identification capability of the CSA was confirmed via the analysis of 1,2-diols and catechols. The principal component analysis result demonstrated that this CSA could distinguish pure FCB powder from its six common adulterations. The linear discriminant analysis models were established for the qualitative identification of adulterated FCB samples with 89.58%-100% accuracy. Furthermore, partial least squares regression models were developed for the quantitation of adulterant percentages with correlation coefficients higher than 0.87. We expect that the inkjet-printed CSA provided an effective on-site screening method for identifying adulterated FCB.

贝母作为一种重要的镇咳祛痰药材，稀有且价格昂贵，导致市场上大量掺假。在此，我们报告了一种用于快速识别 FCB 及其掺假的固体比色传感器阵列 (CSA) 方法。该 CSA 是通过在混合纤维素酯膜上印刷九种 pH 指示剂制成的一种市售的喷墨打印机，里面装有含聚乙二醇的墨水。该 CSA 显示各种分析物的颜色变化，因为它们具有不同 pH 值的溶液会触发与九种 pH 指示剂的化学反应（以及其他潜在的相互作用）。这些比色反应模式的数字数据库是使用自制程序自动收集的。CSA 出色的识别能力通过以下方式得到证实1,2-二醇和儿茶酚的分析。主成分分析结果表明，该 CSA 可以将纯 FCB 粉末与其六种常见掺杂物区分开来。建立了对掺假FCB样品进行定性鉴定的线性判别分析模型，准确率达89.58%-100%。此外，还开发了偏最小二乘回归模型，用于量化相关系数高于 0.87 的掺假百分比。我们希望喷墨打印的 CSA 为识别掺假 FCB 提供了一种有效的现场筛选方法。