Mesquita Daniela P, Amaral A Luís, Leal Cristiano, Oehmen Adrian, Reis Maria A M, Ferreira Eugénio C
CEB - Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
CEB - Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Instituto Politécnico de Coimbra, ISEC, DEQB, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal.
Anal Chim Acta. 2015 Mar 20;865:8-15. doi: 10.1016/j.aca.2015.01.018. Epub 2015 Jan 14.
Polyhydroxyalkanoates (PHA) can be produced and intracellularly accumulated as inclusions by mixed microbial cultures (MMC) for bioplastic production and in enhanced biological phosphorus removal (EBPR) systems. Classical methods for PHA quantification use a digestion step prior to chromatography analysis, rendering them labor intensive and time-consuming. The present work investigates the use of two quantitative image analysis (QIA) procedures specifically developed for PHA inclusions identification and quantification. MMC obtained from an EBPR system were visualized by bright-field and fluorescence microscopy for PHA inclusions detection, upon Sudan Black B (SBB) and Nile Blue A (NBA) staining, respectively. The captured color images were processed by QIA techniques and the image analysis data were further treated using multivariate statistical analysis. Partial least squares (PLS) regression coefficients of 0.90 and 0.86 were obtained between QIA parameters and PHA concentrations using SBB and NBA, respectively. It was found that both staining procedures might be seen as alternative methodologies to classical PHA determination.
聚羟基脂肪酸酯(PHA)可通过混合微生物培养物(MMC)进行生产并作为内含物在细胞内积累,用于生物塑料生产以及强化生物除磷(EBPR)系统。传统的PHA定量方法在色谱分析之前需要进行消化步骤,这使得它们劳动强度大且耗时。本研究调查了两种专门为PHA内含物鉴定和定量开发的定量图像分析(QIA)程序的应用。分别用苏丹黑B(SBB)和尼罗蓝A(NBA)染色后,通过明场和荧光显微镜观察从EBPR系统获得的MMC,以检测PHA内含物。捕获的彩色图像通过QIA技术进行处理,图像分析数据进一步使用多元统计分析进行处理。使用SBB和NBA时,QIA参数与PHA浓度之间的偏最小二乘(PLS)回归系数分别为0.90和0.86。研究发现,这两种染色程序都可被视为传统PHA测定的替代方法。