a Department of Food Science and Technology , Pondicherry University , Pondicherry , India.
b Department of Electronics System Area , CSIR-Central Electronics Engineering Research Institute , Chennai.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2019 Jul;36(7):989-995. doi: 10.1080/19440049.2019.1605206. Epub 2019 May 14.
The present study presents a novel method employing Near Infrared Spectroscopy (NIR) for detection of the use of calcium carbide in artificial ripening of mangoes. Use of calcium carbide has been banned in artificial ripening of fruits as it contains traces of arsenic. Mango samples were ripened artificially using calcium carbide and compared with naturally ripened mangoes using NIR spectroscopic wavelength ranging from 600 to 1100 nm. The captured NIR spectra from mango samples were analysed using multivariate methods including principal component analysis, particle least square and successive projection algorithm. The obtained results showed distinguishing zones for naturally and artificially ripened mangoes. Furthermore, the arsenic content was obtained through ICP-MS analysis, and it was found that mangoes ripened artificially using calcium carbide have a higher content of arsenic. Hence, arsenic was used as a principal component in the analysis. The developed method is not unique to samples that were grown in any particular region or year as it and can be used universally as NIR will give the distinguishing comparison between naturally- and artificially ripened mangoes. This method is simple, non-invasive, non-destructive and rapid for detection of use of calcium carbide in the artificial ripening of mangoes.
本研究提出了一种利用近红外光谱(NIR)检测碳化钙在芒果人工催熟中应用的新方法。由于碳化钙中含有微量砷,因此已被禁止用于水果的人工催熟。本研究使用碳化钙对芒果进行人工催熟,并与自然成熟的芒果进行比较,采用波长范围为 600 至 1100nm 的 NIR 光谱技术。使用多元分析方法(包括主成分分析、粒子最小二乘和连续投影算法)对从芒果样本中捕获的 NIR 光谱进行分析。研究结果表明,自然成熟和人工催熟的芒果之间存在明显的区别。此外,通过 ICP-MS 分析获得了砷含量,结果发现,使用碳化钙人工催熟的芒果砷含量更高。因此,砷被用作分析中的主要成分。所开发的方法不仅适用于在特定地区或年份种植的样品,因为 NIR 可以普遍用于区分自然成熟和人工催熟的芒果。该方法简单、非侵入性、无损和快速,可用于检测碳化钙在芒果人工催熟中的应用。