Effect on supplementation of Spirulina maxima enriched with Cu on production performance, metabolical and physiological parameters in fattening pigs.

In this paper, the effect of addition of the biomass of Spirulina maxima enriched with copper (Sm-Cu) to the animal feed is discussed. The biomass was cultivated in the photobioreactor with the capacity of 10 m3. After the biosorption process, the enriched biomass was investigated as the source of valuable nutrients. The feeding experiment was conducted for 87 days. The study was performed in individual rearing pens, with controlled microclimate, feed and water were available semi-ad libitum. Piglets (24) were divided into two groups (control and experimental). The experimental group was fed with addition of the biomass of Sm-Cu instead of inorganic salts. There were no statistically significant differences between the average daily and periodic weight gain, daily and periodic feed collection, as well as feed conversion ratio. There were no statistically significant differences between the amount of N excreted in faeces and urine, when considering the retention of N, both in relation to the consumed N, and relative N digested which was at a similar level. In the experimental group in comparison to the control group, the lower low-density lipoprotein cholesterol by 17.05 % (P < 0.05) and total cholesterol by 9.43 % (P < 0.05) were observed. Additionally, the increase of parameter a* of 13 % (P < 0.05) and the reduction of the natural leakage by 34 % (P < 0.05) were found.

Introduction

Microass="Species">algae are prokaryotic and <ass="Chemical">span class="Disease">eukaryotic photosynthetic organisms with single or multicellular structure that can survive even in very difficult conditions. Examples of microorganisms are prokaryotic cyanobacteria (Cyanophyceae), a eukaryotic green algae (Chlorophyta) and diatoms (Bacillariophyta) (Li et al. 2008a, b).

Microass="Species">algae and their nutritional value have long been known. They are used in <ass="Chemical">span class="Species">human and animal nutrition, in cosmetics and in the production of valuable substances (e.g. fatty acids, pigments) (Spolaore et al. 2006). There are alternative and unconventional sources of protein and many biologically active substances. Consequently, they can be used as dietary feed supplements for animals (Muller-Feuga 2000). Microalgae are a good source of nutrients. Examples of application of microalgae are as follows: food, feed, drugs, pigments, source of chemical constituents, fuels, hormones and others (Muller-Feuga 2000; Barclay 1986; Illman et al. 2000; Lipstein and Hurwitz 1980; Richmond 2004).

Microass="Species">algae have been used as food since about 2,000 years ago in China. Although micro<ass="Chemical">span class="Species">algae are known as the source of nutrients for thousands of years (Borowitzka 1999), microalgal biotechnology began to develop only in the middle of the past century (Spolaore et al. 2006).

Regulation of the Polish Minister of Agriass="Chemical">culture and Rural Development (2005) allows the use of <ass="Chemical">span class="Species">algae as a feed material. The list of feed materials which have been authorized under the provisions of the European Union includes algae (Korol 2002).

The nutritional properties of microass="Species">algae are well-known and are thoroughly described in the literature (Brown et al. 1997; Navarro et al. 2001; Martínez-<ass="Chemical">span class="Chemical">Fernández et al. 2006; Martínez-Fernández and Southgate 2007; Abril et al. 2003; Ponis and Parisi 2003). Table 1 presents the experiments on using the microalgae as feed additives. Several papers describe attempts of enrichment of Spirulina platensis biomass in selenium, iodine (Mosulishvili et al. 2002) and chromium (Zhi-Yong et al. 2003), which resulted in the production of pharmaceuticals that can be used as human dietary supplements. Such formulations provide the body with the ingredients, in which biomass was enriched in a more available form. Biosorption is one of methods of enrichment of biomass with microelements. It would be possible to elaborate a new generation of feed additives components with microelements bound with biological carrier (biomass of microalgae) by biosorption. Trend to enrich the biomass with nutrients through biosorption and bioaccumulation becomes a fact, and it is confirmed by literature reports. For example, copper-enriched yeasts were used in coping with the problem of micronutrient deficiency in the diet of humans and animals (Mrvcic et al. 2007).

Table 1

The use of microalgae in the feeding of poultry and pigs

Microalgae	Animal	Effect
Haematococcus pluvialis	Broilers	Antibacterial activity of astaxanthin (Waldenstedt et al. 2003)
Chlorella sp.	Chicks and broilers	Addition of 60 and 150 g of algae per kg of feed had no adverse effect on the growth of animals (Lipstein and Hurwitz 1980)
Nannochloropsis oculata	Laying hens	Addition of microalgae (20 %) increased content of unsaturated fatty acids and carotenoids in the egg yolks (Fredriksson et al. 2006)
Crypthecodinium cohnii	Ducks	Addition of 5 g kg−1 of microalgae did not affect the weight gain and manure characteristics as well as chemical composition, colour, pH, shelf life, the aromatic characteristics of breast muscle (Lipstein and Hurwitz 1980)
Spirulina platensis	Broilers	Addition of 140 and 170 g kg−1 of microalgae was not adversely affected by the mass, composition and histopathology of organs. Meat quality did not change. More intense colour was observed (Crist 1981)
Chlorella sp.	Laying hens	Addition of 120 g of microalgae kg−1 feed did not affect the quality of eggs and feed utilization. High supplementation of algae in the feed caused a more intense yellow colour of egg yolks (Kadukowa and Vircikova 2005)
Schizochytrium sp.	Laying hens	Algae as a source of n-3 PUFAs administered for 8 weeks had no adverse effect on the organoleptic properties (Parpinello et al. 2006)
Schizochytrium sp.	Pigs	Addition of algae at 2.5 and 5 g kg−1, did not affect negatively the pH, meat colour and composition of the loin (Sardi et al. 2006)

The use of microass="Species">algae in the <ass="Chemical">span class="Chemical">feeding of poultry and pigs

The aim of the present work was to assess the influence of addition of the microass="Species">algae <ass="Chemical">span class="Species">Spirulina maxima enriched by biosorption biomass to the animal feed. Feeding experiments on swine were conducted to investigate their effect on production performance, metabolical and physiological parameters in fattening pigs.

Material and methods

<span class="Species">Spirulina maxima obtained from the <ass="Chemical">span class="Chemical">Culture Collection of Algal Laboratory Institute of Botany, Academy of Sciences of the Czech Republic was cultivated in Schlösser (1982) medium, prepared with technical grade reagents in a stirred tank reactor (dimensions 1.12 m × 3.6 m) with a capacity of 10 m3, covered by a glasshouse, equipped with the biomass separation system (six bag filters, average pore size 6 μm, Desjoyaux Co, Ltd.), mixing system (pumps) and six lamps (300W Astral Pool, Poland).

Biosorption experiments

The biomass of ass="Species">S. maxima was enriched with <ass="Chemical">span class="Chemical">copper (II) ions via biosorption. The enrichment process was performed in containers containing 45 L of metal ions solution at ambient temperature in tap water. The solutions were prepared by dissolving appropriate amounts of CuSO4·5H2O admitted for using as a source of Cu(II), Fe(II) and Zn(II) in animal diets (from POCH, Gliwice, Poland) (Feeding Standards for Poultry and Swine 2005). The contact time was 2 h as determined previously in kinetic experiments (Michalak et al. 2007). After this time, enriched biomass was separated on a 6-μm pore size filter, dried at 50 °C and ground. Initial concentration of metal ions in the solution was C 0 300 mg L−1. pH of the solution was adjusted to pH 5 with NaOH/HCl. The biomass concentration was 1 g of dry mass L−1.

Feeding experiments

Feed

The enriched biomass of ass="Species">S. maxima via biosorption process was investigated as the source of microelements—<ass="Chemical">span class="Chemical">Cu(II), Fe(II) and Zn(II). Because biomass enriched with copper also contains other microelements (Fe and Zn), and its content was taken into consideration during planning the experiment. Two experimental groups were distinguished:

The microelement requirement was covered by <span class="Chemical">inorganic salts, control (C)

The requirement for ass="Chemical">Cu(II) was covered by <ass="Chemical">span class="Species">S. maxima biomass enriched with copper (Sm-Cu)

The requirement for ass="Chemical">Fe was covered by <ass="Chemical">span class="Species">S. maxima biomass enriched with iron (Sm-Fe) (25.5 %) and 74.5 % with inorganic salt

The requirement for Zn was covered by ass="Species">S. maxima biomass enriched with zinc (<ass="Chemical">span class="Chemical">Sm-Zn) (17.3 %) and by inorganic salt (82.7 %)

The standard ass="Chemical">feed was composed of <ass="Chemical">span class="Species">wheat, Hordeum, canola oil and soybean meal and specially prepared for each stage of the experiments (starter, grower and finisher); similar feed was used elsewhere (Korniewicz et al. 2012) (Tables 1 and 2). The content of nutrients and feed additives is presented in Table 2. The source of vitamins and microelements was a commercially available premix produced by LNB Poland. The experimental group was fed with the same feed, but microelements were supplemented by S. maxima enriched with microelements by biosorption.

Table 2

Percent composition and feeding value of mixtures for fatteners

Ingredients	Units	Type of mixture
		Starter	Grower	Finisher
Ground wheat	%	35.0	40.0	40.0
Ground barley	%	41.7	43.4	49.4
Soya bean oil meal	%	15.5	11.5	6.5
Soya oil	%	3.3	1.8	1.4
Acidifier	%	0.5	0.3	0.2
Supplementary feed: starter	%	4.0	–	–
Supplementary feed: grower	%	–	3.0	–
Supplementary feed: finisher	%	–	–	2.5
Total	%	100.00	100.00	100.00

Percent composition and <span class="Chemical">feeding value of mixtures for fatteners

Animals, housing

Dewormed (Dectomax® or Ivomec®) ass="Species">piglets (Big White Polish/Polish White Zwisloucha, dams × Hampshire/Pietrain) (24 heads, 20.9 ± 2.2 kg) were randomly divided into two groups: 12 heads in the control group and 12 in the experimental group. The three dif<ass="Chemical">span class="Chemical">ferent feed compositions according to the different nutritional requirements for growth of the animals were used. Piglets in rearing phase (20–40 kg) were fed with the standard starter feed mixture, porkers during the first period of fattening (40–65 kg) were fed with standard grower feed mixture and porkers in the second period of fattening (65–105 kg) were fed with the standard finisher feed mixture. Nutritional value of fodder in specific periods of feeding was presented in Tables 3 (the nutrient content of the diets with amino acids) and 4 (the micro- and macroelemental composition of the control and the experimental feed). The study was performed in individual rearing pens, with controlled microclimate (16–18 °C). Feed and water were available semi-ad libitum. After the 21st day of feeding with grower mixture, six porkers from control and six porkers from experimental group were separated for 7 days in individual cages and fed with the same mixture as the rest of animals. After 3 days (treated as the preliminary step), urine and faeces were collected from each animal. Every morning, the amount of not consumed fodder was recorded. Collected samples were used to determine the nitrogen in faeces, urine and feed.

Table 3

The nutrient content of the diets with amino acids of mixtures for fatteners

Ingredients	Units	Type of mixture
		Starter	Grower	Finisher
Chemical composition, analysed, per kg of mixture
Net energy	Kcal	2,340	2,280	2,281
Metabolisable energy	MJ	13.60	13.25	13.25
Dry matter	%	87.3	87.2	87.1
Crude protein	%	17.4	15.7	14.5
Crude fibre	%	3.0	2.8	3.5
Crude fat	%	5.0	3.1	3.2
Crude ash	%	5.1	4.3	3.7
N-free extractives	%	56.8	61.3	62.2
l-Lysine	%	1.17	0.93	0.85
dl-Methionine	%	0.39	0.29	0.26
Methionine + cystine	%	0.71	0.60	0.55
l-Threonine	%	0.75	0.59	0.54
Tryptophan	%	0.23	0.20	0.16
Isoleucine	%	0.66	0.59	0.51
Ca	%	0.73	0.68	0.60
P total	%	0.55	0.50	0.43
Mineral P	%	0.16	0.15	0.13
Digestible P	%	0.34	0.30	0.25
Phytase	FTU	500	510	425
Na	%	0.20	0.20	0.14
Fea	mg	198	183	172
Mna	mg	91	82	73
Cua	mg	167	25	21.8
Zna	mg	157	148	126
Ia	mg	1.66	1.49	1.26
Coa	mg	0.88	0.81	0.68
Sea	mg	0.49	0.48	0.44
Vitamin Ab	I.U.	16,000	12,000	10,000
Vitamin D3b	I.U.	2,000	1,998	1,665
Vitamin Eb	mg	150.00	124.50	103.75
Vitamin K3b	mg	4.00	1.80	1.50
Vitamin B1 b	mg	2.40	1.80	1.50
Vitamin B2 b	mg	6.40	4.80	4.00
Niacinb	mg	32.00	24.00	20.00
Pantothenic acidb	mg	16.00	12.00	10.00
Vitamin B6 b	mg	4.80	3.60	3.00
Vitamin B12 b	mcg	40.00	30.00	25.00
Biotinb	mcg	160.00	120.00	100.00
Vitamin Cb	mg	100.00	100.00	83.30
Folic acidb	mg	3.20	2.40	2.00
Cholineb	mg	350.00	250.00	208.30

aMicroelements supplemented: Fe as FeSO4·H2O 30 %; Mn as MnO2 60 %; Cu as CuSO4·5H2O 25 %; Zn as ZnSO4·H2O 35 %; I as Ca(IO3)2·H2O 62 %, Co as CoCO3 21 %; Se as Na2SeO3 5 %

bVitamins supplemented: vitamin A (retinyl acetate), vitamin D3 (cholecalciferol), vitamin E (DL alpha tocopherol acetate), vitamin K (bisulphite menadione sodium), vitamin B1 (thiamine mononitrate), vitamin B2 (riboflavin), vitamin B3 (nicotinic acid), vitamin B5 (d-calcium pantothenate), vitamin B6 (pyridoxine hydrochloride), vitamin B12 (cyanocobalamin), biotin (d-biotin), vitamin C (ascorbic acid), folic acid (folic acid), choline (choline chloride)

Table 4

The content of the control and the experimental feed for pigs (mg kg−1 ± measurement uncertainty)

		Starter		Grower		Finisher
		Control	Experimental	Control	Experimental	Control	Experimental
Microelements	Cu	13.3 ± 2.0	6.57 ± 1.64	9.06 ± 2.27	7.85 ± 1.96	13.7 ± 2.1	7.25 ± 1.81
	Fe	206 ± 31	143.0 ± 21.5	149 ± 22	180 ± 27	206 ± 31	151 ± 23
	Zn	56.9 ± 8.5	49.3 ± 7.4	48.0 ± 7.2	59.9 ± 9.0	53.2 ± 8.0	46.5 ± 7.0
	Co	0.576 ± 0.144	0.491 ± 0.123	0.457 ± 0.114	0.568 ± 0.142	0.488 ± 0.122	0.434 ± 0.109
	Mn	82.0 ± 12.3	63.7 ± 9.6	66.4 ± 10.0	57.8 ± 8.7	94.8 ± 14.2	55.5 ± 8.3
	Mo	2.96 ± 0.74	0.760 ± 0.190	0.670 ± 0.168	0.742 ± 0.186	0.677 ± 0.169	0.534 ± 0.134
	Cr	0.681 ± 0.170	0.583 ± 0.146	0.480 ± 0.120	0.629 ± 0.157	0.589 ± 0.147	0.463 ± 0.116
	Se	2.31 ± 0.58	1.25 ± 0.312	0.977 ± 0.244	0.604 ± 0.151	0.562 ± 0.141	0.485 ± 0.121
	B	167 ± 25	95.1 ± 14.3	75.8 ± 11.4	75.6 ± 11.3	70.2 ± 10.5	43.0 ± 6.44
Alkali and alkaline earth metal	K	3,550 ± 532	3,289 ± 493	3,459 ± 519	3,720 ± 558	3,722 ± 558	2,968 ± 445
	Ca	3,111 ± 467	2,800 ± 420	2,912 ± 437	2,995 ± 449	2,636 ± 395	2,289 ± 343
	Mg	788 ± 118	697 ± 105	767 ± 115	805 ± 121	846 ± 127	711 ± 107
	Na	848 ± 127	823 ± 123	862 ± 129	918 ± 138	836 ± 125	747 ± 112
	Ba	4.8 ± 1.2	3.78 ± 0.94	4.69 ± 1.17	4.04 ± 1.01	4.36 ± 1.09	3.07 ± 0.77
Toxic elements	As	3.0 ± 0.6	1.25 ± 0.25	0.788 ± 0.158	0.621 ± 0.124	0.546 ± 0.109	0.318 ± 0.064
	Cd	LLD	0.030 ± 0.006	0.0137 ± 0.0027	0.0167 ± 0.0033	0.0172 ± 0.0034	0.00798 ± 0.00160
	Ni	0.758 ± 0.152	0.568 ± 0.114	0.607 ± 0.121	0.626 ± 0.125	0.747 ± 0.149	0.439 ± 0.088
	Pb	0.5 ± 0.109	0.713 ± 0.143	0.472 ± 0.094	0.381 ± 0.076	0.5228 ± 0.1046	0.354 ± 0.071
Other elements	Be	LLD	0.0122 ± 0.0030	0.0090 ± 0.0023	0.0110 ± 0.0027	0.0106 ± 0.0026	LLD
	Sr	8.8 ± 2.2	8.13 ± 2.03	8.52 ± 2.13	9.13 ± 2.28	8.35 ± 2.09	7.34 ± 1.84
	Ti	3.76 ± 0.94	3.20 ± 0.80	2.56 ± 0.64	3.65 ± 0.91	4.21 ± 1.05	1.84 ± 0.46
	Tl	0.137 ± 0.034	0.303 ± 0.076	0.475 ± 0.119	0.228 ± 0.057	0.09 ± 0.02	0.0828 ± 0.0207
	Al	118 ± 18	124 ± 19	106 ± 16	138 ± 21	164 ± 25	74.0 ± 11.1
	V	7.54 ± 1.88	6.88 ± 1.72	7.31 ± 1.83	7.73 ± 1.93	8.27 ± 2.07	6.49 ± 1.62

LLD lower limit of detection

aMicroelements supplemented: ass="Chemical">Fe as <ass="Chemical">span class="Chemical">FeSO4·H2O 30 %; Mn as MnO2 60 %; Cu as CuSO4·5H2O 25 %; Zn as ZnSO4·H2O 35 %; I as Ca(IO3)2·H2O 62 %, Co as CoCO3 21 %; Se as Na2SeO3 5 %

bVitamins supplemented: vitamin A (retinyl acetate), vitamin D3 (ass="Chemical">cholecalci<ass="Chemical">span class="Chemical">ferol), vitamin E (DL alpha tocopherol acetate), vitamin K (bisulphite menadione sodium), vitamin B1 (thiamine mononitrate), vitamin B2 (riboflavin), vitamin B3 (nicotinic acid), vitamin B5 (d-calcium pantothenate), vitamin B6 (pyridoxine hydrochloride), vitamin B12 (cyanocobalamin), biotin (d-biotin), vitamin C (ascorbic acid), folic acid (folic acid), choline (choline chloride)

The content of the control and the experimental <span class="Chemical">feed for <ass="Chemical">span class="Species">pigs (mg kg−1 ± measurement uncertainty)

At the end of experiments, ten randomly chosen ass="Species">pigs were killed to obtain liver and meat. Slaughter procedure was carried out in the slaughterhouse with the required permits and according to Minister of Agri<ass="Chemical">span class="Chemical">culture and Rural Development dated April 2, 2004 by persons entitled to professional slaughter and acceptable methods of slaughter and killing of animals (Polish Journal of Laws 2004.70.643). Approved procedure involves use of electronarcosis and exsanguination of pigs.

Sampling

The ass="Chemical">feeding experiment was conducted for 87 days and was divided into three <ass="Chemical">span class="Chemical">series: starter (26 days), grower (31 days) and finisher (30 days), respectively. After each series, each animal was weighed. On 87th day, blood was collected. After separation, the concentration of microelements in serum was determined. Blood was sampled from the jugular vein. Before sampling blood, heparin was added to the samples in order to prevent blood coagulation. Muscle (longissimus dorsi muscle) and liver samples were homogenized. All samples with the exception of fodder were kept in the freezer for multi-elemental analysis.

Analytical methods

To determine the elemental content, the appropriate mass of biological sample (ass="Chemical">feed 0.5 g, micro<ass="Chemical">span class="Species">algae biomass 0.5 g) materials was digested with 5 mL concentrated—65 % HNO3 suprapur grade from Merck in Teflon vessels (microwave oven Milestone MLS-1200). After mineralization, all samples were diluted to 50 mL. Inductively coupled plasma-optical emission spectrometer with ultrasonic nebulizer (Varian VISTA-MPX ICP-OES, Mulgrave, Victoria, Australia) was used to determine the concentration of elements in algae and in all digested and diluted biological samples in the Chemical Laboratory of Multielemental Analyses at Wroclaw University of Technology, which is accredited by the ILAC-MRA and the Polish Centre for Accreditation according to PN-EN ISO/IEC 17025. The total N content in the samples of faeces, urine and feed was determined by the Kjeldal method, according to PN-EN ISO 5983–1:2006/AC:2009.

The following biochemical parameters of the blood were determined: total protein, albumin, ass="Chemical">glucose, <ass="Chemical">span class="Chemical">urea, liver enzymes aspartate aminotransferase (AST), alanine aminotransferase (ALT), gamma-glutamyltransferase (GGT), total cholesterol (Chol t) and its fractions low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglycerides. Analyses were performed at the Department of Animal Hygiene and Animal Welfare, at Wrocław University of Environmental and Life Sciences by Biochemical Analyzer Pentra 400 from Horiba ABX.

Determination of ass="Chemical">carcass conformation (proportion of fat and muscle) was made by optical needle device—CGM (France). pH measurements in the longissimus dorsi muscle at the level of the l<ass="Chemical">span class="Gene">ast rib after 1 h and 24 h after slaughter were performed using a Radiometer PHM 80 Portable pH meter. Conductivity meter MP-03 was used to measure electrical conductivity in the same sample after 24 h. In meat, the content of water, fat and protein was determined in sample of longissimus dorsi muscle according to standard chemical methods (Rak and Morzyk 2007).

The leakage was calass="Chemical">culated from the dif<ass="Chemical">span class="Chemical">ference between the initial and final mass of the sample, which were placed in foil sacks in a temperature 4 °C for 48 h. Physical parameters of meat: meatiness, marbled, area of loin eye and back-fat thickness were analysed by IM-03—Pig Carcass Grading Apparatus. The colour of muscle carcass has been marked by Chroma Meter CR-400, Konica Minolta Sensing, Inc. (Japan) to detect the L*a*b* values. The L* value represents lightness (negative towards black, positive towards white), the a* value represents red–greenness (negative towards green, positive towards red) and b* value represents the blue–yellow colour scale (negative towards blue, positive towards yellow). The instrument was calibrated using a Minolta calibration plate CR-22/CR-400 (Japan). To analyse the carcass colour, the tip of the surface of the measuring head placed against the surface of the meat sample was investigated.

Calculations and statistical analyses

Shapiro–Wilk test was used to ensure that the data had a normal distribution. Levene’s test and Brown–Forsythe test were used to assess the equality of variances in dif<span class="Chemical">ferent samples. Significance of dif<ass="Chemical">span class="Chemical">ferences between the groups were examined with Mann–Whitney U test (where the distribution was not normal), Welch (for data that have normal distribution and unequal variance) and t test (for data that have normal distribution and equal variance). Three levels of statistical significance were taken into account—at 0.1, 0.05 and 0.001. Statistical significance at P < 0.1 was regarded as a “trend”, while 0.05 and 0.001 showed statistical significance of differences. The arithmetic mean values, standard deviations and t tests were carried out with the use of computer software Statistica ver. 9.0.

Results

Leeson and Cass="Gene">aston (2008) proved that trace minerals are oversupplied in <ass="Chemical">span class="Chemical">feed formulations. Assuming the enhanced bioavailability of trace minerals in the form of enriched biomass of S. maxima, dietary levels of Cu at first stage of experiments (starter—where the level of microelement was the highest) were minimized in the experimental group to about 50 % in comparison to the control group (Table 4).

There were no statistically significant difass="Chemical">ferences between the average daily <ass="Chemical">span class="Disease">weight gain (ADWG) and average periodic weight gain (APWG), weight gain, average daily (ADFI) and periodic (APFI) of feed intake, as well as feed conversion ratio (FCR) (Table 5). This means that the new dietary supplement with microelements based on the algal biomass did not change its organoleptic properties and yielded similar production effects.

Table 5

Average production yields in different periods of feeding experiments: starter, grower and finisher

		Control group		Experimental group		Increase (↑)/decrease (↓)%	P values
		Mean	SD	Mean	SD
Starter	BW (kg)
	Starta	20.8	2.16	21.0	2.33	↑ 0.760	0.864
	Enda	45.3	2.33	45.6	2.65	↑ 0.644	0.778
	APWG (kg)a	24.5	1.91	24.6	1.57	↑ 0.545	0.854
	ADWG (g)a	942	73.3	947	60.5	↑ 0.531	0.857
	APFI (kg)c	49.0	1.08	48.1	2.19	↓ 1.77	0.356
	ADFI (kg)c	1.88	0.040	1.84	0.087	↓ 2.21	0.225
	FCRa	2.01	0.162	1.96	0.153	↓ 2.45	0.452
Grower	BW (kg)
	Starta	45.3	2.3	45.6	2.7	↑ 0.644	0.778
	Enda	76.0	2.2	75.5	4.2	↓ 0.614	0.739
	APWG (kg)a	30.7	1.8	30.4	2.8	↓ 1.086	0.734
	ADWG (g)a	987	60	982	90	↓ 0.557	0.862
	APFI (kg)c	81.4	3.8	80.5	4.4	↓ 1.065	0.611
	ADFI (kg)c	2.62	0.12	2.59	0.14	↓ 1.340	0.615
	FCRa	2.65	0.07	2.66	0.26	↑ 0.567	0.848
Finisher	BW (kg)
	Starta	76.0	2.2	75.5	4.2	↓ 0.614	0.740
	Enda	107	3	105	5	↓ 1.84	0.256
	APWG (kg)a	31.1	2.0	29.6	3.5	↓ 4.85	0.210
	ADWG (g)a	1,036	68	986	115	↓ 4.85	0.210
	APFI (kg)c	94.9	4.2	94.8	3.7	↓ 0.158	0.273
	ADFI (kg)c	3.17	0.16	3.16	0.12	↓ 0.315	0.273
	FCRa	3.07	0.21	3.25	0.46	↑ 6.03	0.227
Whole period	BW (kg)
	Starta	20.8	2.2	21.0	2.3	↑ 0.760	0.864
	Enda	107	3	105	5	↓ 1.84	0.256
	APWG (kg)a	86.3	3.9	84.1	5.4	↓ 2.47	0.279
	ADWG (g)a	991	45	967	62	↓ 2.47	0.279
	APFI (kg)c	225	8	223	6	↓ 0.902	0.273
	ADFI (kg)c	2.59	0.09	2.57	0.07	↓ 0.902	0.482
	FCRa	2.62	0.10	2.66	0.17	↑ 1.85	0.412

a t test

bCochran–Cox test

cMann–Whitney U test

Average production yields in dif<span class="Chemical">ferent periods of <ass="Chemical">span class="Chemical">feeding experiments: starter, grower and finisher

The results of biochemical analyses of blood serum of ass="Species">pigs are presented in Table 6. Table 7 reports the parameters determining the value of the slaughter <ass="Chemical">span class="Chemical">carcass in the experiment. Statistical differences were found in the case of Chol t and for Chol LDL, it was 9.43 % and 17.05 % lower in the experimental group, respectively. Additionally, the decrease of ALAT, TG and creatine kinase (CK) by 11.3, 14.6 and 21.8 %, respectively, as well as increase of globulin concentration by 13.5 %, was also observed, but these differences were not statistically significant.

Table 6

Biochemical indicators in blood serum of pigs, mean ± SD

Parameter	Unit	Control group	Experimental group	Increase (↑)/decrease (↓) %	P value
ASTa	U L−1	63.0 ± 10.6	60.9 ± 13.8	↓ 3.38	ns
ALATa	U L−1	37.3 ± 14.7	33.1 ± 4.0	↓ 11.3	ns
Chol ta	mmol L−1	2.65 ± 0.24	2.40 ± 0.29	↓ 9.43	**
Chol HDLb	mmol L−1	1.06 ± 0.12	1.02 ± 0.34	↓3.22	ns
Chol LDLa	mmol L−1	1.28 ± 0.16	1.05 ± 0.14	↓ 17.05	**
LDHb	U L−1	903 ± 154	935 ± 156	↑ 3.57	ns
GTPa	U L−1	34.6 ± 8.9	34.8 ± 6.0	↑ 0.433	ns
CKb	U L−1	1,482 ± 1,250	1,159 ± 944	↓ 21.8	ns
Ureaa	mmol L−1	5.71 ± 0.75	5.45 ± 1.17	↓ 4.60	ns
Creatininea	μmol L−1	120 ± 13	126 ± 14	↑ 5.20	ns
LAb	mmol L−1	4.49 ± 2.00	4.62 ± 2.06	↑ 2.92	ns
Glucoseb	mmol L−1	5.13 ± 0.86	5.43 ± 0.48	↑ 5.81	ns
TGa	mmol L−1	0.261 ± 0.062	0.223 ± 0.065	↓ 14.6	ns
TPa	g L−1	65.6 ± 6.5	67.3 ± 4.9	↑ 2.65	ns
Albumina	g L−1	41.8 ± 3.1	40.4 ± 3.0	↓ 3.51	ns
Globulinb	g L−1	23.8 ± 6.1	27.0 ± 5.2	↑ 13.5	ns
Nab	mmol L−1	142 ± 1	144 ± 4	↑ 1.62	ns
Ka	mmol L−1	5.31 ± 0.54	5.24 ± 0.41	↓ 1.21	ns
Clb	mmol L−1	102 ± 3	102 ± 2	↓ 0.186	ns
Cab	mmol L−1	2.59 ± 0.13	2.61 ± 0.12	↑ 0.967	ns
Mga	mmol L−1	0.872 ± 0.066	0.879 ± 0.091	↑ 0.803	ns
Pa	mmol L−1	3.03 ± 0.14	2.98 ± 0.44	↓ 1.55	ns
Feb	mmol L−1	25.8 ± 8.5	22.6 ± 3.2	↓ 12.5	ns
Znb	mmol L−1	10.3 ± 1.3	11.5 ± 5.9	↑ 12.0	ns
Cua	mmol L−1	38.5 ± 4.7	41.8 ± 5.6	↑ 8.59	ns

ns no statistical differences

**P < 0.05

a t test

bMann–Whitney U test

Table 7

Evaluation of carcass slaughter value, mean ± SD

Specification	Unit	Group		Increase (↑)/decrease (↓) %	P value
		Control	Experimental
Content in muscle
Watera	%	72.4 ± 1.1	72.4 ± 0.6	↑ 0.0511	ns
Fata	%	3.24 ± 0.89	3.28 ± 0.69	↑ 1.11	ns
Proteina	%	23.3 ± 0.7	23.1 ± 1.0	↓ 0.804	ns
Evaluation of carcass slaughter value
Carcass weighta	kg	90.7 ± 2.8	90.5 ± 5.8	↓ 0.198	ns
Carcass yielda	%	54.7 ± 2.3	55.1 ± 3.3	↑ 0.658	ns
Area of loin eyec	cm2	38.9 ± 4.8	39.0 ± 6.5	↑ 0.316	ns
Marbleda	pkt	1.75 ± 0.26	1.90 ± 0.52	↑ 8.57	ns
Weight of livera	g	1,724 ± 227	1,647 ± 183	↓ 4.46	ns
Backfat thickness
Sacralis Ia	mm	20.2 ± 3.1	20.6 ± 3.4	↑ 1.98	ns
Sacralis IIa	mm	13.8 ± 2.6	12.8 ± 2.9	↓ 7.25	ns
Sacralis IIIa	mm	16.2 ± 3.58	15.0 ± 2.9	↓ 7.41	ns
Dorsala	mm	20.2 ± 5.1	22.2 ± 3.3	↑ 9.90	ns
Shouldera	mm	38.7 ± 6.7	41.4 ± 5.7	↑ 6.98	ns
Physical and chemical parameters of carcass
pHa		6.28 ± 0.24	6.39 ± 0.23	↑ 1.74	ns
pH'a		5.51 ± 0.09	5.52 ± 0.16	↑ 0.254	ns
Conductivitya	mS cm−2	3.97 ± 1.15	3.17 ± 0.54	↓ 20.2	*
Lightness—L*a		50.8 ± 1.7	50.1 ± 2.1	↓ 1.54	ns
Redness—a*a		4.49 ± 0.72	5.08 ± 0.76	↑ 13.0	*
Yellowness—b*a		0.325 ± 0.898	0.0584 ± 1.2527	↓ 82.0	ns
Leakage naturala	%	5.46 ± 2.13	3.60 ± 1.34	↓ 34.0	**
Water adsorptiona	%	32.9 ± 0.9	31.2 ± 2.4	↓ 5.04	ns

ns no statistical differences

*P < 0.1; **P < 0.05

a t test

Biochemical indicators in blood serum of <span class="Species">pigs, mean ± SD

ns no statistical dif<span class="Chemical">ferences

Evaluation of <span class="Chemical">carcass slaughter value, mean ± SD

ns no statistical dif<span class="Chemical">ferences

Balance and digestibility trials

In balance and digestibility trials, amount of consumed <span class="Chemical">feed, the mass of excreted faeces and urine samples were determined. Also, <ass="Chemical">span class="Chemical">nitrogen balance was performed. The results are presented in Table 8. An increased amount of faecal excretion by 11 % (P < 0.1) in the experimental group compared to the control group and increased dry weight by 6 % (P < 0.1) were denoted.

Table 8

Daily quantities of faeces and urine excreted by fatteners during the experiment (4 days), mean ± SD

	Specification	Unit	Group			P value
			Control	Experimental	Increase (↑)/decrease (↓) %
Faecal	Excreteda	g	765 ± 75	845 ± 53	↑ 10.6	*
	Dry mattera	%	32.7 ± 3.0	31.4 ± 3.1	↓ 4.16	ns
	Dry mattera	g	249 ± 11	264 ± 12	↑ 5.96	*
Urea	Excreteda	g	5,095 ± 1,035	4,732 ± 1,203	↓ 7.12	ns
	Na	%	0.427 ± 0.116	0.478 ± 0.118	↑ 11.9	ns
	N excreteda	g	20.8 ± 1.9	21.5 ± 1.2	↑ 3.55	ns

ns no statistical differences

*P < 0.1

a t test

ns no statistical dif<span class="Chemical">ferences

Additionally, digestibility coefficients (%) were compared (Table 9). There were no statistically significant difass="Chemical">ferences between the digestibility coefficients of <ass="Chemical">span class="Disease">dry organic matter, total protein, total fat and crude fibre between the control and the experimental group. Dry matter digestibility of the control group differed statistically when compared with the experimental group. The difference was at 1.6 %. Statistical differences related to the coefficient of digestibility of crude ash and digestible nitrogen-free extract that in the experimental group were lower by 24 % (P < 0.001) and 1 % (P < 0.1).

Table 9

Daily balance and nitrogen retention, mean ± SD

Specification	Group		Increase (↑)/decrease (↓) %	P value
	Control	Experimental
Taken in the feed (g)a	50.2 ± 0.0	50.2 ± 0.0		–
Excrete in the faeces (g)a	6.32 ± 0.74	5.83 ± 0.50	↓ 7.65	ns
Excrete in the urine (g)a	20.8 ± 1.6	21.5 ± 1.2	↑ 3.53	ns
Retention (g)a	23.1 ± 1.6	22.9 ± 1.2	↓1.08	ns
Retention relative to N collected (%)a	46.0 ± 3.2	45.5 ± 2.4	↓ 1.08	ns
Retention relative to N digested (%)a	52.6 ± 3.5	51.5 ± 2.6	↓ 2.15	ns

ns no statistical differences

a t test

Daily balance and <span class="Chemical">nitrogen retention, mean ± SD

ns no statistical dif<span class="Chemical">ferences

Table 10 shows the daily balance and <span class="Chemical">nitrogen retention. There were no statistically significant dif<ass="Chemical">span class="Chemical">ferences between the amount of N excreted in faeces and urine, in relation to the retention of N, both in relation to the consumed N, and relative N digested were at a similar level.

Table 10

Digestibility coefficients, %, mean ± SD

Specification	Group		Increase (↑)/decrease (↓) %	P value
	Control	Experimental
Dry mattera	86.2 ± 1.32	84.9 ± 0.726	↓1.58	*
Organic dry mattera	88.1 ± 1.19	87.4 ± 0.826	↓0.889	ns
Total proteina	87.4 ± 1.81	88.4 ± 1.01	↑1.11	ns
Total fata	77.0 ± 3.42	77.0 ± 5.28	↑0.0649	ns
Crude fibrea	22.0 ± 8.19	17.6 ± 4.95	↓20.1	ns
Asha	50.2 ± 4.36	38.3 ± 4.33	↓23.6	***
Digestible nitrogen-free extracta	91.9 ± 0.763	91.0 ± 0.910	↓0.997	*

Ns no statistical differences

*P < 0.1; ***P < 0.001

a t test

Ns no statistical dif<span class="Chemical">ferences

Discussion

In order to assess the health status of animals ass="Chemical">fed with diet containing supplement of enriched <ass="Chemical">span class="Species">S. maxima, basic research of serum biochemical parameters was undertaken. This allowed the clinical assessment of individual organs. Biochemical parameters concern diagnostic profile of selected organs. Commonly used to study organ profiles include renal profile, liver profile, bone, cardiac lipid and thyroid. Comparison of the veterinary standards gave information on the general health of animals fed with a premix of inorganic salts, as a source of micronutrients and animal fed with the feed, prepared on the basis of enriched S. maxima biomass.

To assess the condition of the liver, the following parameters were taken into account: <span class="Gene">AST, ALT, GGT, albumin, <ass="Chemical">span class="Chemical">lactate dehydrogenase (LDH) and cholesterol. AST and GGT are enzymes produced in the liver. The increase in AST is an indicator of the liver disease. Its lower value in serum indicates a better condition and less stress on the liver. Introduction of microalgal biomass as a source of micronutrients to animal diet caused AST decrease by about 3.38 %, while in the case of GGT, an increase, but less than 0.5 %. This is consistent with a reduction in total cholesterol levels by 10 % (P < 0.05), which was observed in the experimental group. LDL is the principal carrier of cholesterol around the body and was reduced by 17.05 % (P < 0.05) in the pigs fed with the treatment diets. HDL cholesterol is a major transporting lipoprotein cholesterol in the blood. Its effect, reducing blood cholesterol levels, is to remove the excess from the cells and transport to the liver where it is metabolised. HDL cholesterol makes up to 40 % of total cholesterol, and its concentration in the serum of pigs from the experimental group did not differ statistically from the serum of the control group. Dehydrogenase activity (LDH) levels should be in the range 575–3,294 U L−1. Increased activity may indicate liver disease. There were no statistically significant differences between the experimental and the control group. ALT is an organ non-specific enzyme that is involved in the metabolism of proteins. Increased activity of serum ALT levels above 43 U L−1 indicates liver and pancreatic cancers. In the experiment, no statistically significant differences between groups were found. ALT activity was at 33 U L−1.

In the assessment of cardiac profile, the following parameters were taken into account: ass="Gene">AST, ALT, CK, LDH, Na and K. The activity of CK levels in healthy <ass="Chemical">span class="Species">pigs should be on the level 50–3,531 U L−1. Exceeding this value may indicate a muscle injury. For the experimental group, CK was smaller by 21.8 %, when compared with the control group, but the difference was not statistically significant. AST and ALT ratios have been discussed as part of the liver profile. Differences between the remaining discussed indicators were less than 5 % and were not statistically significant. It can be concluded that the use of the preparation from S. maxima had no effect on the cardiac profile of the animals.

The level of ass="Chemical">urea, <ass="Chemical">span class="Chemical">sodium, potassium and creatinine is used to assess renal profile. Creatinine concentration in plasma is the result of the production and excretion and is directly dependent on muscle mass and the efficiency of excretory function. Its concentration in serum should be in the range 88.4–238.7 μmol L−1. Higher concentration may indicate poisoning by organic and inorganic compounds. The concentration of urea in healthy pigs should be in the range 3.32–6.64 mmol L−1. Urea is the final product of protein metabolism in the body. It is excreted by the kidneys and reflects the level of kidney function. In the experiment, there was no statistically significant differences between the experimental and the control groups. K and Na concentration in the serum of healthy pigs ranged, respectively, 4.4–5.6 mmol L−1 and 139.1–156.5 mmol L−1. Treatment with algae had no effect on their level in the serum. Introduction to the diet of animals in the form of trace elements bound to microalgae biomass did not affect kidney function.

Conversion of ass="Chemical">lactate (gluconeogenesis: <ass="Chemical">span class="Chemical">lactic acid (LA) → glucose) is important in maintaining acid–base equilibrium. No differences between the concentrations of LA in the blood serum of the experimental and the control groups indicate that the microelement preparation based on Spirulina does not interfere with carbohydrate metabolism. There was also a higher concentration of glucose in serum, which could be an indication of better energy-efficient metabolism. Glucose affects proteinous and energetic processes.

Difass="Chemical">ferences in defining the activity and concentration of various indicators were at the level of individual variability. Statistically significant dif<ass="Chemical">span class="Chemical">ferences at P < 0.05 were noted for cholesterol; the level was lower in the experimental group. Blé-Castillo et al. (2002) also found a reduction in the level of liver fat after using S. maxima in the high fat diet.

The objective of ass="Species">pig rearing is the production of meat. The value of the product determines the value of animal slaughter—the quantity and quality of the meat, to a lesser extent fatty material. The results of Lisiak et al. (2005) indicated that in 2005, <ass="Chemical">span class="Chemical">carcass yield achieved in Poland was 52.6 %, with an average carcass weight of 85.7 kg. Carcass yield in the experimental group was 55.1 % and was approximately 1 % higher as compared with the control group. According to the classification of SEUROP (Commission Regulation (EC) 2008) on pig carcasses weighing from 60 to 120 kg from the slaughterhouse, which distinguishes between six classes (S, E, U, R, O, P) depending on the conformation, the same number of carcass of the experimental group as well as control group can be classified into class E (yield in the range 55–60 %), while the rest of carcass of the control and experimental group was classified as U (yield range 50–55 %).

Increased surface of area of loin eye is desirable (Olszewski 2007). The resulting difass="Chemical">ferences between this parameter for the control and the experimental group was statistically insignificant. Marbling reflects the amount and distribution of intramus<ass="Chemical">span class="Chemical">cular fat in muscle cross section. Moderate marbling, uniformly distributed, is a desired quality characteristics (Olszewski 2007). Juiciness of meat is closely correlated with water absorption and the amount of intramuscular fat. Meat with high water absorption is more juicy. Also strongly reticular is meat with large amounts of intramuscular fat which is more succulent than meat from young animals with a small amount of fat (Lisiak et al. 2005). Meat from the experimental group was characterized by a higher marbling by about 9 % (ns) compared with the control group and significantly lower natural leakage (P < 0.05). Five measurements were made for back-fat thickness; average back-fat thickness of the carcass of the experimental group was about 3 % (ns) higher.

Liver weight of the experimental group was lighter by 5 % as compared with the control group; the dif<span class="Chemical">ference was not statistically significant, but smaller liver may indicate a smaller load on the liver, which was confirmed by serum biochemical indices, where the <ass="Chemical">span class="Gene">AST, ALT and GGT were lower in the group fed with the algal preparation.

Six classes of meat quality are distinguished based on pH, colour and texture of pork (Brzóska 2001). Normal meat quality—red, firm, normal (RFN)—has a bright red colour that is stable, its texture is firm and ass="Chemical">water is well-bound. Undesirable de<ass="Chemical">span class="Chemical">fects of meat are described as follows: pale, soft, exudative (PSE); acid, soft, exudative (ASE) and reddish pink, soft, exudative (RSE). This category of meat is characterized by increase of acidity as compared to the typical watery meat (PSE), and its colour is darker than the PSE and acidic meats. DFD meat is characterized by a dark colour, very good stability and low storage stability (Brzóska 2001). Table 11 reports the physicochemical quality criteria that allow to classify meat to the appropriate group. According to the given range of parameters presented in Table 11, four meat carcasses from the control group were classified as RFN while in the experimental group, seven meat carcasses were classified as RFN.

Table 11

The division of classes of pork due to the pH, colour and consistency (Murray 1995)

Criterion	Groups of meat quality
	RFN	PSE	RSE	ASE	DFD
pH	>6.3	≤5.5	5.9–6.3	>6.3	>6.3
pH′	5.5–5.7	≤5.5	≤5.5	≤5.5	>6.3
Conductivity	≤8	≤8	≤8	≤8	≤5
Drip loss (%)	2–5	>5	>5	>5	<2
Lightness (L*)	43–50	>50	43–50	>50	<43

The colour of meat is expressed in CIE L*a*b* (Ganczarski 2012). An important ef<span class="Chemical">fect of changes in meat quality is the <ass="Chemical">span class="Chemical">water retention associated with the brightness of colour. The colour of meat is one of the most important characteristic for consumer meat evaluation (Przybylski et al. 2008). Introduction to animal diet of algal preparation had a statistically significant effect on meat colour. The parameter a* in the experimental group was greater by 13 % (P < 0.1) and L* by 1.5 % (ns) lower, which means that the meat had more intensive red colour.

Lower quality of meat usually means an increased deterioration of ass="Chemical">water absorption and increased meat juice leakage, too light colour and its variable saturation and poorer t<ass="Chemical">span class="Gene">aste value, including mainly improper slices structure, sometimes toughness (fibrosity). Therefore, water holding capacity of meat is one of the most frequently mentioned disadvantages. Poor water holding capacity of meat affects the cost of meat production and culinary products (Strzyżewski et al. 2008; Murray 1995; Kajak et al. 2007). Use of the algal product had beneficial effect on colour, natural leakage and pH (not a significant change), while lower water holding capacity was observed.

In conclusion, the results reported in the present work showed that the introduction of micronutrients to the diet of animals, bound with the biological matrix in the form of ass="Species">S. maxima, had advantageous ef<ass="Chemical">span class="Chemical">fect on reared swines: improved profile of the liver, lowering LDL cholesterol by 23 % (P < 0.05) and total cholesterol by 10.5 % (P < 0.05). The increase of parameter a* of 13 % (P < 0.05) and the reduction of natural leakage by 34 % (P < 0.05), which improved the technological assessment of carcass grade class, were found. Four meat carcasses from the control group were classified as RFN while in the experimental group are seven.