Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, 4169-007, Portugal; 25 de Junho Secondary School of Mapinhane, Vilankulo-Inhambane, Mozambique.
Talanta. 2018 Apr 1;180:239-247. doi: 10.1016/j.talanta.2017.12.057. Epub 2017 Dec 19.
Discrimination of biodiesel feedstock present in diesel-biodiesel blend is challenging due to the great similarity in the spectral profile as well as digital image profile of each type of feedstock employed in biodiesel production. Once the marketed diesel-biodiesel blend is subsidized, in which motivates adulteration in biofuel blend by cheaper supplies with high solubility to obtain profits associated with the subsidies involved in biodiesel production. Non-destructive analytical methods based on qualitative and quantitative analysis for detecting marketed diesel-biodiesel blend adulteration are reviewed. Therefore, at the end is discussed the advantage of the qualitative analysis over quantitative analysis, when the systems require immediate decisions such as to know if the marketed diesel-biodiesel blend is unadulterated or adulterated in order to aid the analyst in selecting the most appropriate green analytical procedure for detecting diesel-biodiesel blend adulteration proceeding in fast way. This critical review provides a brief review on the non-destructive analytical methods reported in scientific literature based on different first-order multivariate calibration models coupled with spectroscopy data and digital image data to identify the type of biodiesel feedstock present in diesel-biodiesel blend in order to meets the strategies adopted by European Commission Directive 2012/0288/EC as well as to monitoring diesel-biodiesel adulteration. According to that Directive, from 2020 biodiesel produced from first-generation feedstock, that is, oils employed in human food such as sunflower, soybean, rapeseed, palm oil, among other oils should not be subsidized. Therefore, those non-destructive analytical methods here reviewed are helpful for discrimination of biodiesel feedstock present in diesel-biodiesel blend according to European Commission Directive 2012/0288/EC as well as for detecting diesel-biodiesel blend adulteration.
鉴别存在于柴油生物柴油混合燃料中的生物柴油原料具有挑战性，因为每种用于生物柴油生产的原料在光谱特征和数字图像特征方面都非常相似。一旦市场化的柴油生物柴油混合燃料得到补贴，就会促使人们通过使用高溶解性的更廉价供应品来掺假生物燃料混合物，以获取与生物柴油生产相关的补贴所带来的利润。本文综述了基于定性和定量分析的非破坏性分析方法，用于检测市场化的柴油生物柴油混合燃料掺假。因此，在最后讨论了定性分析相对于定量分析的优势，当系统需要立即做出决策时，例如知道市场化的柴油生物柴油混合燃料是否未掺假或掺假，以便帮助分析师选择最适合的绿色分析程序，以便快速检测柴油生物柴油混合燃料掺假。本文批判性地综述了基于不同一阶多元校准模型与光谱和数字图像数据相结合的非破坏性分析方法，用于识别存在于柴油生物柴油混合燃料中的生物柴油原料类型，以满足欧盟委员会指令 2012/0288/EC 所采用的策略，并对柴油生物柴油掺假进行监测。根据该指令，自 2020 年起，不应再对第一代原料（即用于人类食品的油，如向日葵、大豆、油菜籽、棕榈油等）生产的生物柴油进行补贴。因此，本文综述的这些非破坏性分析方法有助于根据欧盟委员会指令 2012/0288/EC 鉴别存在于柴油生物柴油混合燃料中的生物柴油原料，以及检测柴油生物柴油混合燃料掺假。
