Hướng tiếp cận bằng phương pháp thống kê đa biến trong quản lí chất lượng thực phẩm và dược phẩm = Multivariate statistical approach in food and pharmaceutical quality control

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Tác giả: Anh Mai Nguyễn, Thu Lý Du, Hiên Võ, Hữu Quang Nguyễn, Phúc Thịnh Nguyễn, Lê Huyền Tạ Thị, Mỹ Chi Nguyễn Thị, Thu Hoài Nguyễn

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Tạp chí Khoa học và Công nghệ - Đại học Nguyễn Tất Thành, 2019

Mô tả vật lý: tr.59

Bộ sưu tập: NCBI

ID: 487308

Thêm vào giỏ

IR spectra contain chemical information of matter and can be acquired from raw/untreated samples. The spectra are, however, complicated to interpret and could not be used directly for both qualitative and quantitative purposes. In this research a statistical approach namely, multivariate data analysis (MVDA) or chemometrics was employed for mining information related to chemical compositions from spectroscopic data. Two examples are used to illustrate the potential of this approach, one is edible oil (using benchtop FT-IR), and pharmaceuticals (using handheld NIR). Olive oil was differentiated from adulterants (sesame, sunflower, palm oil) in PCA, and the content of olive oil was successfully determined by the PLS model the error of olive oil content <
5%. Norfloxacin content in lab-scale powder formulation yield the auspicious results with the error <
6%. The results proved the developed techniques are promising for rapid analysis at significantly lower costs. Phổ IR chứa nhiều thông tin về cấu trúc hóa học của mẫu vật ở dạng thô không xử lí. Tuy nhiên phổ IR thường phức tạp nên không sử dụng trực tiếp để định tính và định lượng. Trong nghiên cứu này, đã sử dụng phương pháp phân tích dữ liệu đa biến (hay còn gọi là chemometrics) để xác định thành phần hoá học từ dữ liệu phổ thu được. Bài báo trình bày 2 thí dụ để minh chứng cho tiềm năng ứng dụng của phương pháp này trong hoá phân tích. Hai ứng dụng đó là phân tích dầu ăn bằng máy FT-IR dạng để bàn, và phân tích dược phẩm bằng máy NIR cầm tay. Với công cụ PCA dầu olive có thể dễ dàng phân biệt với các loại dầu thực vật khác như dầu mè, dầu cọ, dầu hướng dương, đậu nành. Thành phần dầu olive trong hỗn hợp với các loại dầu khác cũng có thể định lượng bằng PLS với sai số <
5%. Với đối tượng dược phẩm, hàm lượng norfloxacin trong viên thuốc dạng rắn có thể được xác định với sai số <
6%. Kết quả cho thấy phương pháp trên rất có tiềm năng trong việc phân tích nhanh với chi phí rất thấp.

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