Santos Adriele R, da Silva Alex F, Batista Andréia F P, Freitas Camila F, Bona Evandro, Sereia Maria J, Caetano Wilker, Hioka Noburu, Mikcha Jane M G
Postgraduate Program in Food Science, State University of Maringá, Maringá 87020-900-Paraná, Brazil.
Postgraduate Program in Health Science, State University of Maringá, Maringá 87020-900-Paraná, Brazil.
Antibiotics (Basel). 2020 Mar 17;9(3):125. doi: 10.3390/antibiotics9030125.
Photodynamic antimicrobial chemotherapy (PAC) is an efficient tool for inactivating microorganisms. This technique is a good approach to inactivate the foodborne microorganisms, which are responsible for one of the major public health concerns worldwide-the foodborne diseases. In this work, response surface methodology (RSM) was used to evaluate the interaction of Eosin Y (EOS) concentration and irradiation time on counts and a sequence of designed experiments to model the combined effect of each factor on the response. A second-order polynomial empirical model was developed to describe the relationship between EOS concentration and irradiation time. The results showed that the derived model could predict the combined influences of these factors on counts. The agreement between predictions and experimental observations (R = 0.9159, = 0.000034) was also observed. The significant terms in the model were the linear negative effect of photosensitizer (PS) concentration, followed by the linear negative effect of irradiation time, and the quadratic negative effect of PS concentration. The highest reductions in counts were observed when applying a light dose of 9.98 J/cm (498 nM of EOS and 10 min. irradiation). The ability of the evaluated model to predict the photoinactivation of was successfully validated. Therefore, the use of RSM combined with PAC is a promising approach to inactivate foodborne pathogens.
光动力抗菌化疗（PAC）是一种使微生物失活的有效工具。该技术是使食源微生物失活的一种好方法，食源微生物是全球主要公共卫生问题之一——食源性疾病的起因。在这项工作中，采用响应面法（RSM）来评估曙红Y（EOS）浓度和辐照时间对[具体微生物名称未给出]数量的相互作用，并通过一系列设计实验来模拟每个因素对响应的综合影响。建立了一个二阶多项式经验模型来描述EOS浓度与辐照时间之间的关系。结果表明，所推导的模型能够预测这些因素对[具体微生物名称未给出]数量的综合影响。还观察到预测结果与实验观测值之间的一致性（R = 0.9159，[具体数值未给出] = 0.000034）。模型中的显著项是光敏剂（PS）浓度的线性负效应，其次是辐照时间的线性负效应，以及PS浓度的二次负效应。当施加9.98 J/cm的光剂量（498 nM的EOS和10分钟辐照）时，观察到[具体微生物名称未给出]数量的最大减少。所评估模型预测[具体微生物名称未给出]光灭活的能力得到了成功验证。因此，将RSM与PAC结合使用是使食源性病原体失活的一种有前景的方法。
